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+34 946 567 842
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+34 946 567 842
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dpardo@bcamath.org
Information of interest
 Orcid: 0000000211012248
Past Research Professor and Team Leader "Multiphysics, Inversion and Petroleum" research line.
David Pardo received the B.S. degree in mathematics from the University of The Basque Country, Spain, in 2000, and the M.S. and Ph.D. degrees in computational and applied mathematics from The University of Texas at Austin, in 2002 and 2004, respectively. Then, he worked as a Postdoctoral Fellow and Research Associate at the Petroleum and Geosystems Engineering at The University of Texas at Austin during the period 20042008. Since Sept. 2008, he is a Research Professor and team leader of the group "Multiphysics, Inversion and Petroleum" at the Basque Center for Applied Mathematics (BCAM). Since Sept. 2009, he is also a Research Professor at IKERBASQUE, the Basque Foundation for Sciences. He has published over 50 publications and he has given over 80 presentations. His research interests include computational electromagnetics, petroleumengineering applications (borehole simulations), adaptive finiteelement methods, multigrid solvers, and multiphysics and inverse problems.

Deep Neural Network for damage detection in Infante Dom Henrique bridge using multisensor data
(20240322)This paper proposes a datadriven approach to detect damage using monitoring data from the Infante Dom Henrique bridge in Porto. The main contribution of this work lies in exploiting the combination of raw measurements ...

Semiblindtrace algorithm for selfsupervised attenuation of tracewise coherent noise
(20240301)Tracewise noise is a type of noise often seen in seismic data, which is characterized by vertical coherency and horizontal incoherency. Using selfsupervised deep learning to attenuate this type of noise, the conventional ...

rAdaptive deep learning method for solving partial di erential equations
(202401)We introduce a Deep Neural Network (DNN) method for solving Partial Di erential Equations (PDEs) that simultaneously: (a) constructs an optimal radapted mesh, i.e., given an initial mesh, it provides optimal node ...

Robust Variational PhysicsInformed Neural Networks
(2024)We introduce a Robust version of the Variational PhysicsInformed Neural Networks method (RVPINNs). As in VPINNs, we define the quadratic loss functional in terms of a PetrovGalerkintype variational formulation of the ...

Multimodal variational autoencoder for inverse problems in geophysics: application to a 1D magnetotelluric problem
(202312)Estimating subsurface properties from geophysical measurements is a common inverse problem. Several Bayesian methods currently aim to find the solution to a geophysical inverse problem and quantify its uncertainty. However, ...

Fast parallel IGAADS solver for timedependent Maxwell's equations
(202312)We propose a simulator for timedependent Maxwell's equations with linear computational cost. We employ Bspline basis functions as considered in the isogeometric analysis (IGA). We focus on nonstationary Maxwell's equations ...

Machine learning discovery of optimal quadrature rules for isogeometric analysis
(20231101)We propose the use of machine learning techniques to find optimal quadrature rules for the construction of stiffness and mass matrices in isogeometric analysis (IGA). We initially consider 1D spline spaces of arbitrary ...

Diagnosis of the health status of mooring systems for floating offshore wind turbines using autoencoders
(20231101)Floating offshore wind turbines (FOWTs) show promise in terms of energy production, availability, and sustainability, but remain unprofitable due to high maintenance costs. This work proposes a deep learning algorithm to ...

Physicsguided deeplearning inversion method for the interpretation of noisy loggingwhiledrilling resistivity measurements
(202310)Deep learning (DL) inversion is a promising method for realTime interpretation of loggingwhiledrilling (LWD) resistivity measurements for wellnavigation applications. In this context, measurement noise may significantly ...

Bridge damage identification under varying environmental and operational conditions combining Deep Learning and numerical simulations
(202310)This work proposes a novel supervised learning approach to identify damage in operating bridge structures. We propose a method to introduce the effect of environmental and operational conditions into the synthetic damage ...

Neural network architecture optimization using automated machine learning for borehole resistivity measurements
(202309)Deep neural networks (DNNs) offer a realtime solution for the inversion of borehole resistivity measurements to approximate forward and inverse operators. Using extremely large DNNs to approximate the operators is possible, ...

An exponential integration generalized multiscale finite element method for parabolic problems
(20230415)We consider linear and semilinear parabolic problems posed in highcontrast multiscale media in two dimensions. The presence of highcontrast multiscale media adversely affects the accuracy, stability, and overall efficiency ...

A Deep Double Ritz Method (D2RM) for solving Partial Differential Equations using Neural Networks
(20230215)Residual minimization is a widely used technique for solving Partial Differential Equations in variational form. It minimizes the dual norm of the residual, which naturally yields a saddlepoint (min–max) problem over the ...

On building physicsbased AI models for the design and SHM of mooring systems
(20230101)Expert systems in industrial processes are modelled using physicsbased approaches, datadriven models or hybrid approaches in which however the underlying physical models generally constitute a separate block with respect ...

MemoryBased Monte Carlo Integration for Solving Partial Differential Equations Using Neural Networks
(2023)Monte Carlo integration is a widely used quadrature rule to solve Partial Differential Equations with neural networks due to its ability to guarantee overfittingfree solutions and highdimensional scalability. However, ...

Performance measures of nonstationary inventory models for perishable products under the EWA policy
(20221216)Accurately estimating key performance indicators in inventory models for perishable items is essential in order to assess and improve the management strategy of these systems. We analyse the production of platelet ...

A Multidirectional Deep Neural Network for SelfSupervised Reconstruction of Seismic Data
(20221206)Seismic studies exhibit gaps in the recorded data due to surface obstacles. To fill in the gaps with selfsupervised deep learning, the network learns to predict different events from the recorded parts of data and then ...

A painless multilevel automatic goaloriented hpadaptive coarsening strategy for elliptic and nonelliptic problems
(20221101)This work extends an automatic energynorm $hp$adaptive strategy based on performing quasioptimal unrefinements to the case of nonelliptic problems and goaloriented adaptivity. The proposed approach employs a multilevel ...

Refined isogeometric analysis of quadratic eigenvalue problems
(20220716)Certain applications that analyze damping effects require the solution of quadratic eigenvalue problems (QEPs). We use refined isogeometric analysis (rIGA) to solve quadratic eigenproblems. rIGA discretization, while ...

Exploiting the Kronecker product structure of φ−functions in exponential integrators
(20220515)Exponential time integrators are wellestablished discretization methods for time semilinear systems of ordinary differential equations. These methods use (Formula presented.) functions, which are matrix functions related ...

Supervised Deep Learning with Finite Element simulations for damage identification in bridges
(20220415)This work proposes a supervised Deep Learning approach for damage identification in bridge structures. We employ a hybrid methodology that incorporates Finite Element simulations to enrich the training phase of a Deep ...

On quadrature rules for solving Partial Differential Equations using Neural Networks
(20220401)Neural Networks have been widely used to solve Partial Differential Equations. These methods require to approximate definite integrals using quadrature rules. Here, we illustrate via 1D numerical examples the quadrature ...

Error representation of the timemarching DPG scheme
(20220301)In this article, we introduce an error representation function to perform adaptivity in time of the recently developed timemarching Discontinuous Petrov–Galerkin (DPG) scheme. We first provide an analytical expression for ...

Nonhyperbolic normal moveout stretch correction with deep learning automation
(20220215)Normalmoveout (NMO) correction is a fundamental step in seismic data processing. It consists of mapping seismic data from recorded traveltimes to corresponding zerooffset times. This process produces wavelet stretching ...

Deep learning enhanced principal component analysis for structural health monitoring
(20220118)This paper proposes a Deep Learning enhanced Principal Component Analysis (PCA) approach for outlier detection to assess the structural condition of bridges. We employ a partially explainable autoencoder architecture to ...

2.5D Deep Learning Inversion of LWD and DeepSensing em Measurements Across Formations with Dipping Faults
(20220101)Deep learning (DL) inversion of induction logging measurements is used in well geosteering for realtime imaging of the distribution of subsurface electrical conductivity. We develop a DL inversion workflow to solve 2.5D ...

1D Painless Multilevel Automatic GoalOriented h and p Adaptive Strategies Using a PseudoDual Operator
(20220101)The main idea of our GoalOriented Adaptive (GOA) strategy is based on performing global and uniform h or prefinements (for h and padaptivity, respectively) followed by a coarsening step, where some basis functions are ...

Deep learning enhanced principal component analysis for structural health monitoring
(20220101)This paper proposes a Deep Learning Enhanced Principal Component Analysis (PCA) approach for outlier detection to assess the structural condition of bridges. We employ partially explainable autoencoder architecture to ...

Predictive Maintenance of Floating Offshore Wind Turbine Mooring Lines using Deep Neural Networks
(2022)The recent massive deployment of onshore wind farms has caused controversy to arise mainly around the issues of land occupation, noise and visual pollution and impact on wildlife. Fixed offshore turbines, albeit beneficial ...

A Deep Fourier Residual Method for solving PDEs using Neural Networks
(2022)When using Neural Networks as trial functions to numerically solve PDEs, a key choice to be made is the loss function to be minimised, which should ideally correspond to a norm of the error. In multiple problems, this ...

Uncertainty Quantification on the Inversion of Geosteering Measurements using Deep Learning
(20211101)We propose the use of a Deep Learning (DL) algorithm for the realtime inversion of electromagnetic measurements acquired during geosteering operations. Moreover, we show that when the DL algorithm is equipped with a ...

Approximations for traveltime, slope, curvature, and geometrical spreading of elastic waves in layered transversely isotropic media
(202110)Each seismic body wave, including quasi compressional, shear, and converted wave modes, carries useful subsurface information. For processing, imaging, amplitude analysis, and forward modeling of each wave mode, we need ...

Deep learning driven selfadaptive hp finite element method
(202106)The fi nite element method (FEM) is a popular tool for solving engineering problems governed by Partial Di fferential Equations (PDEs). The accuracy of the numerical solution depends on the quality of the computational ...

Massive Database Generation for 2.5D Borehole Electromagnetic Measurements using Refined Isogeometric Analysis
(202106)Borehole resistivity measurements are routinely inverted in realtime during geosteering operations. The inversion process can be efficiently performed with the help of advanced artificial intelligence algorithms such as ...

Largeoffset Pwave traveltime in layered transversely isotropic media
(20210501)Largeoffset seismic data processing, imaging, and velocity estimation require an accurate traveltime approximation over a wide range of offsets. In layered transversely isotropic media with a vertical symmetry axis, the ...

Modeling extradeep electromagnetic logs using a deep neural network
(202105)Modern geosteering is heavily dependent on realtime interpretation of deep electromagnetic (EM) measurements. We have developed a methodology to construct a deep neural network (DNN) model trained to reproduce a full set ...

Refined isogeometric analysis for generalized Hermitian eigenproblems
(202104)We use refined isogeometric analysis (rIGA) to solve generalized Hermitian eigenproblems (Ku = λMu). rIGA conserves the desirable properties of maximumcontinuity isogeometric analysis (IGA) while it reduces the solution ...

A Simulation Method for the Computation of the E
(202103)We propose a set of numerical methods for the computation of the frequencydependent eff ective primary wave velocity of heterogeneous rocks. We assume the rocks' internal microstructure is given by microcomputed tomography ...

Goaloriented adaptivity for a conforming residual minimization method in a dual discontinuous Galerkin norm
(202103)We propose a goaloriented meshadaptive algorithm for a finite element method stabilized via residual minimization on dual discontinuousGalerkin norms. By solving a saddlepoint problem, this residual minimization delivers ...

VibrationBased SHM Strategy for a Real Time Alert System with Damage Location and Quantification
(20210111)We present a simple and fully automatable vibrationbased Structural Health Monitoring (SHM) alert system. The proposed method consists in applying an Automated Frequency Domain Decomposition (AFDD) algorithm to obtain the ...

VibrationBased SHM Strategy for a Real Time Alert System with Damage Location and Quantification
(202101)We present a simple and fully automatable vibrationbased Structural Health Monitoring (SHM) alert system. The proposed method consists in applying an Automated Frequency Domain Decomposition (AFDD) algorithm to obtain the ...

A MULTIDIRECTIONAL DEEP NEURAL NETWORK FOR SELFSUPERVISED RECONSTRUCTION OF SEISMIC DATA
(2021)Seismic studies exhibit gaps in the recorded data due to surface obstacles. To fill in the gaps with selfsupervised deep learning, the network learns to predict different events from the recorded parts of data and then ...

A Finite Element based Deep Learning solver for parametric PDEs
(2021)We introduce a dynamic Deep Learning (DL) architecture based on the Finite Element Method (FEM) to solve linear parametric Partial Differential Equations(PDEs). The connections between neurons in the architecture mimic the ...

A DPGbased timemarching scheme for linear hyperbolic problems
(202011)The Discontinuous PetrovGalerkin (DPG) method is a widely employed discretization method for Partial Di fferential Equations (PDEs). In a recent work, we applied the DPG method with optimal test functions for the time ...

Error Control and Loss Functions for the Deep Learning Inversion of Borehole Resistivity Measurements
(202011)Deep learning (DL) is a numerical method that approximates functions. Recently, its use has become attractive for the simulation and inversion of multiple problems in computational mechanics, including the inversion of ...

Equivalence between the DPG method and the Exponential Integrators for linear parabolic problems
(202011)The Discontinuous PetrovGalerkin (DPG) method and the exponential integrators are two well established numerical methods for solving Partial Di fferential Equations (PDEs) and sti ff systems of Ordinary Di fferential ...

Bearing assessment tool for longitudinal bridge performance
(202009)This work provides an unsupervised learning approach based on a singlevalued performance indicator to monitor the global behavior of critical components in a viaduct, such as bearings. We propose an outlier detection ...

Sensitivity and Uncertainty Analysis by Discontinuous Galerkin of Lockin Thermography for Crack Characterization
(202009)This work focuses on the characterization of narrow vertical cracks of nite size using optically excited lockin thermography (OLT). To characterize these cracks, we need to solve an illposed inverse problem. As a previous ...

Design of Loss Functions for Solving Inverse Problems using Deep Learning
(202005)Solving inverse problems is a crucial task in several applications that strongly a ffect our daily lives, including multiple engineering fields, military operations, and/or energy production. There exist different methods ...

Error Control and Loss Functions for the Deep Learning Inversion of Borehole Resistivity Measurements
(202005)Deep learning (DL) is a numerical method that approximates functions. Recently, its use has become attractive for the simulation and inversion of multiple problems in computational mechanics, including the inversion of ...

A Deep Learning Approach to the Inversion of Borehole Resistivity Measurements
(202004)Borehole resistivity measurements are routinely employed to measure the electrical properties of rocks penetrated by a well and to quantify the hydrocarbon pore volume of a reservoir. Depending on the degree of geometrical ...

A Painless Automatic hpAdaptive Strategy for Elliptic Problems
(202001)In this work, we introduce a novel hpadaptive strategy. The main goal is to minimize the complexity and implementational efforts hence increasing the robustness of the algorithm while keeping close to optimal numerical ...

A Deep Neural Network as Surrogate Model for Forward Simulation of Borehole Resistivity Measurements
(202001)Inverse problems appear in multiple industrial applications. Solving such inverse problems require the repeated solution of the forward problem. This is the most timeconsuming stage when employing inversion techniques, ...

Borehole Resistivity Simulations of OilWater Transition Zones with a 1.5D Numerical Solver
(2020)When simulating borehole resistivity measurements in a reservoir, it is common to consider an oilwater contact (OWC) planar interface. However, this consideration can lead to an unrealistic model since in the presence of ...

Variational Formulations for Explicit RungeKutta Methods
(201908)Variational spacetime formulations for partial di fferential equations have been of great interest in the last decades, among other things, because they allow to develop meshadaptive algorithms. Since it is known ...

ExplicitinTime GoalOriented Adaptivity
(20190415)Goaloriented adaptivity is a powerful tool to accurately approximate physically relevant solution features for partial differential equations. In time dependent problems, we seek to represent the error in the quantity of ...

ForwardinTime GoalOriented Adaptivity
(201903)In goaloriented adaptive algorithms for partial differential equations, we adapt the finite element mesh in order to reduce the error of the solution in some quantity of interest. In timedependent problems, this adaptive ...

Refined Isogeometric Analysis for fluid mechanics and electromagnetism
(201903)Starting from a highly continuous isogeometric analysis discretization, we introduce hyperplanes that partition the domain into subdomains and reduce the continuity of the discretization spaces at these hyperplanes. As the ...

Adjointbased formulation for computing derivatives with respect to bed boundary positions in resistivity geophysics
(201902)In inverse geophysical resistivity problems, it is common to optimize for specific resistivity values and bed boundary positions, as needed, for example, in geosteering applications. When using gradientbased inversion ...

Parallel refined Isogeometric Analysis in 3D
(201811)We study threedimensional isogeometric analysis (IGA) and the solution of the resulting system of linear equations via a direct solver. IGA uses highly continuous $C^{p1}$ basis functions, which provide multiple benefits ...

Finite element approximation of electromagnetic fields using nonfitting meshes for Geophysics
(201807)We analyze the use of nonfitting meshes for simulating the propagation of electromagnetic waves inside the earth with applications to borehole logging. We avoid the use of parameter homogenization and employ standard edge ...

Asymptotic Models for the Electric Potential across a Highly Conductive Casing
(201807)We analyze a configuration that involves a steelcased borehole, where the casing that covers the borehole is considered as a highly conductive thin layer. We develop an asymptotic method for deriving reduced problems ...

Refined Isogeometric Analysis for a Preconditioned Conjugate Gradient Solver
(20180615)Starting from a highly continuous Isogeometric Analysis (IGA) discretization, refined Isogeometric Analysis (rIGA) introduces $C^0$ hyperplanes that act as separators for the direct LU factorization solver. As a result, ...

A Numerical 1.5D Method for the Rapid Simulation of Geophysical Resistivity Measurements
(20180614)In some geological formations, borehole resistivity measurements can be simulated using a sequence of 1D models. By considering a 1D layered media, we can reduce the dimensionality of the problem from 3D to 1.5D via a ...

Fast 2.5D Finite Element Simulations of Borehole Resistivity Measurements
(20180529)We develop a rapid 2.5dimensional (2.5D) finite element method for simulation of borehole resistivity measurements in transversely isotropic (TI) media. The method combines arbitrary highorder $H^1$  and $H$ (curl)conforming ...

Finite Element Simulations of LoggingWhileDrilling and ExtraDeep Azimuthal Resistivity Measurements using NonFitting Grids
(20180427)We propose a discretization technique using nonfitting grids to simulate magnetic fieldbased resistivity logging measurements. Nonfitting grids are convenient because they are simpler to generate and handle than fitting ...

Source time reversal (STR) method for linear elasticity
(2018)We study the problem of source reconstruction for a linear elasticity problem applied to seismicity induced by mining. We assume the source is written as a variable separable function $\mathbf{f(x)}\>g(t)$ . We first present ...

TimeDomain GoalOriented Adaptivity Using PseudoDual Error Representations
(201712)Goaloriented adaptive algorithms produce optimal grids to solve challenging engineering problems. Recently, a novel error representation using (unconventional) pseudodual problems for goaloriented adaptivity in the ...

Goaloriented adaptivity using unconventional error representations for the multidimensional Helmholtz equation
(20170627)In goal‐oriented adaptivity, the error in the quantity of interest is represented using the error functions of the direct and adjoint problems. This error representation is subsequently bounded above by element‐wise error ...

Fast Simulation of 2.5D LWD Resistivity Tools
(201706)As a first step towards the fast inversion of geophysical data, in this work we focus on the rapid simulations of 2.5D loggingwhiledrilling (LWD) borehole resistivity measurements. Given a commercial logging instrument ...

Optimally refined isogeometric analysis
(201706)Performance of direct solvers strongly depends upon the employed discretization method. In particular, it is possible to improve the performance of solving Isogeometric Analysis (IGA) discretizations by introducing multiple ...

1.5D BASED INVERSION OF LOGGINGWHILEDRILLING RESISTIVITY MEASUREMENTS IN 3D FORMATIONS
(201706)This manuscript describes an extension of a computer method developed for the fast inversion of loggingwhiledrilling (LWD) resistivity measurements Pardo and TorresVerdín (2015); Bakr et al. (2016). The method enables ...

Fusionbased variational image dehazing
(20170201)We propose a novel imagedehazing technique based on the minimization of two energy functionals and a fusion scheme to combine the output of both optimizations. The proposed fusionbased variational imagedehazing (FVID) ...

A multidomain decompositionbased Fourier finite element method for the simulation of 3D marine CSEM measurements
(20170101)We introduce a multidomain decomposition Fourier finite element (MDDFFE) method for the simulation of threedimensional (3D) marine controlled source electromagnetic measurement (CSEM). The method combines a 2D finite ...

A source time reversal method for seismicity induced by mining
(20170101)In this work, we present a modified TimeReversal Mirror (TRM) Method, called Source Time Reversal (STR), to find the spatial distribution of a seismic source induced by mining activity. This methodology is based on a known ...

ICCS 2017 Workshop on AgentBased Simulations, Adaptive Algorithms and Solvers
(2017)This workshop seeks to integrate results from different domains of computer science, computational science, and mathematics. We welcome simulation papers, either hard simulations using finite element or finite difference ...

GoalOriented pAdaptivity using Unconventional Error Representations for a 1D Steady State ConvectionDiffusion Problem
(2017)This work proposes the use of an alternative error representation for GoalOriented Adaptivity (GOA) in context of steady state convection dominated diffusion problems. It introduces an arbitrary operator for the computation ...

A QuadratureFree Method for Simulation and Inversion of 1.5D Direct Current (DC) Borehole Measurements
(201612)Resistivity inverse problems are routinely solved in order to characterize hydrocarbon bearing formations. They often require a large number of forward problems simulations. When considering a one dimensional (1D) planarly ...

Fast inversion of loggingwhiledrilling resistivity measurements acquired in multiple wells
(201610)This paper introduces a new method for the fast inversion of borehole resistivity measurements acquired in multiple wells using loggingwhiledrilling (LWD) instruments. There are two key novel contributions. First, we ...

The value of continuity: Refined isogeometric analysis and fast direct solvers
(20160923)We propose the use of highly continuous finite element spaces interconnected with low continuity hyperplanes to maximize the performance of direct solvers. Starting from a highly continuous Isogeometric Analysis (IGA) ...

A multiobjective memetic inverse solver reinforced by local optimization methods
(20160901)We propose a new memetic strategy that can solve the multiphysics, complex inverse problems, formulated as the multiobjective optimization ones, in which objectives are misfits between the measured and simulated states ...

Dimensionally adaptive hpfinite element simulation and inversion of 2D magnetotelluric measurements
(20160901)Magnetotelluric (MT) problems often contain different subdomains where the conductivity of the media depends upon one, two, or three spatial variables. Traditionally, when a MT problem incorporates a threedimensional (3D) ...

Enhanced variational image dehazing
(20151231)Images obtained under adverse weather conditions, such as haze or fog, typically exhibit low contrast and faded colors, which may severely limit the visibility within the scene. Unveiling the image structure under the haze ...

Goaloriented adaptivity using unconventional error representations for the 1D Helmholtz equation
(20151231)In this work, the error of a given output functional is represented using bilinear forms that are different from those given by the adjoint problem. These representations can be employed to design novel h, p, and hp ...

Fourier finite element modeling of light emission in waveguides: 2.5dimensional FEM approach
(20151231)We present a Fourier finite element modeling of light emission of dipolar emitters coupled to infinitely long waveguides. Due to the translational symmetry, the threedimensional (3D) coupled waveguideemitter system can ...

Multiobjective hierarchic memetic solver for inverse parametric problems
(20151231)We propose a multiobjective approach for solving challenging inverse parametric problems. The objectives are misfits for several physical descriptions of a phenomenon under consideration, whereas their domain is a common ...

Quantities of interest for surface based resistivity geophysical measurements
(20151231)The objective of traditional goaloriented strategies is to construct an optimal mesh that minimizes the problem size needed to achieve a user prescribed tolerance error for a given quantity of interest (QoI). Typical ...

Semianalytical response of acoustic logging measurements in frequency domain
(20151231)This work proposes a semianalytical method for simulation of the acoustic response of multipole eccentered sources in a fluidfilled borehole. Assuming a geometry that is invariant with respect to the azimuthal and vertical ...

Automatic RedChannel underwater image restoration
(20151231)Underwater images typically exhibit color distortion and low contrast as a result of the exponential decay that light suffers as it travels. Moreover, colors associated to different wavelengths have different attenuation ...

Highaccuracy adaptive modeling of the energy distribution of a meniscusshaped cell culture in a Petri dish
(20151231)Cylindrical Petri dishes embedded in a rectangular waveguide and exposed to a polarized electromagnetic wave are often used to grow cell cultures. To guarantee the success of these cultures, it is necessary to enforce that ...

A Secondary Field Based hpFinite Element Method for the Simulation of Magnetotelluric Measurements
(20151231)In some geophysical problems, it is sometimes possible to divide the subsurface resistivity distribution as a one dimensional (1D) contribution plus some two dimensional (2D) inhomogeneities. Assuming this scenario, we ...

Direct solvers performance on hadapted grids
(20151231)We analyse the performance of direct solvers when applied to a system of linear equations arising from an $h$adapted, $C^0$ finite element space. Theoretical estimates are derived for typical $h$refinement patterns arising ...

Computational cost of isogeometric multifrontal solvers on parallel distributed memory machines
(20151231)This paper derives theoretical estimates of the computational cost for isogeometric multifrontal direct solver executed on parallel distributed memory machines. We show theoretically that for the $C^{p1}$ global continuity ...

An AgentOriented Hierarchic Strategy for Solving Inverse Problems
(20151231)The paper discusses the complex, agentoriented hierarchic memetic strategy (HMS) dedicated to solving inverse parametric problems. The strategy goes beyond the idea of twophase global optimization algorithms. The global ...

FAST AND AUTOMATIC INVERSION OF LWD RESISTIVITY MEASUREMENTS FOR PETROPHYSICAL INTERPRETATION
(201507)This paper describes an extension of a recently developed fast inversion method (Pardo and TorresVerdÍn (2015)) for estimating a layerbylayer electric resistivity distribution from loggingwhiledrilling (LWD) electromagnetic ...

Unified modeling language description of the objectoriented multiscale adaptive finite element method for stepandflash imprint lithography simulations
(20141231)In the first part of the paper we present the multiscale simulation of the StepandFlash Imprint Lithography (SFIL), a modern patterning process. The simulation utilizes the hp adaptive Finite Element Method (hpFEM) ...

Computational cost estimates for parallel shared memory isogeometric multifrontal solvers
(20141231)In this paper we present computational cost estimates for parallel shared memory isogeometric multifrontal solvers. The estimates show that the ideal isogeometric shared memory parallel direct solver scales as $\mathcal{O}( ...

Fast simulation of throughcasing resistivity measurements using semianalytical asymptotic models. Part 1: Accuracy study
(20141231)When trying to obtain a better characterization of the Earth's subsurface, it is common to use borehole throughcasing resistivity measurements. It is also common for the wells to be surrounded by a metal casing to protect ...

A hybrid method for inversion of 3D DC resistivity logging measurements
(20141231)This paper focuses on the application of hp hierarchic genetic strategy (hpHGS) for solution of a challenging problem, the inversion of 3D direct current (DC) resistivity logging measurements. The problem under consideration ...

Fast 1D Inversion of LoggingWhileDrilling Resistivity Measurements for Improved Estimation of Formation Resistivity in HighAngle and Horizontal Wells
(201412)We have developed an efficient inversion method to estimate layerbylayer electric resistivity from loggingwhiledrilling electromagnetic induction measurements. The method assumes a 1D model based on planarly layered ...

3D hpAdaptive Finite Element Simulations of Bend, Step, and MagicT Electromagnetic Waveguide Structures
(201403)Metallic rectangular waveguides are often the preferred choice on telecommunication systems and medical equipment working on the upper microwave and millimeter wave frequency bands due to the simplicity of its geometry, ...

Sensitivity Analysis for the Appraisal of Hydrofractures in Horizontal Wells with Borehole Resistivity Measurements
(201306)This paper numerically evaluates the possibility of using borehole electromagnetic (EM) measurements to diagnose and quantify hydraulic fractures that have been arti ficially generated in a horizontal well. Hydrofractures ...

Influence of boreholeeccentred tools on wireline and loggingwhiledrilling sonic logging measurements
(201306)We describe a numerical study to quantify the influence of tooleccentricity on wireline and loggingwhiledrilling (LWD) sonic logging measurements. Simulations are performed with a hpadaptive Fourier FiniteElement ...

Modeling of bone conduction of sound in the human head using hpfinite elements: Code design and verification
(20111231)We focus on the development of a reliable numerical model for investigating the boneconduction of sound in the human head. The main challenge of the problem is the lack of fundamental knowledge regarding the transmission ...

Simulation of marine controlled source electromagnetic measurements using a parallel fourier hpfinite element method
(20111231)We introduce a new numerical method to simulate geophysical marine controlled source electromagnetic (CSEM) measurements for the case of 2D structures and finite 3D sources of electromagnetic (EM) excitation. The method ...

Compensation effect analysis in DIE method for throughcasing measuring formation resistivity
(201108)The measuring technique based on DoubleInjectionElectrodes (DIE) and its compensation arithmetic method have been proven to be very useful for eliminating the errors caused by electrodescale mechanical tolerances in ...

New post processing method for interpretation of through casing resistivity (TCR) measurements
(201103)We propose a new iterative method for post processing through casing resistivity (TCR) measurements. This method can be seen as a correction or extension of Kaufman´s theory to more complex scenarios, in which the casing ...

Arithmetic method of doubleinjectionelectrode model for resistivity measurement through metal casing
(20101231)Throughcasing resistivity (TCR) measurement instruments such as Cased Hole Formation Resistivity are extensively used for the dynamic monitoring of oil reservoirs during the production phase in oil wells to evaluate the ...

Simulation of DC duallaterolog measurements in complex formations: A Fourierseries approach with nonorthogonal coordinates and selfadapting finite elements
(20091231)Dual laterolog (DLL) makes use of a galvanic conduction principle to focus electrical currents into rock formations, thereby minimizing shoulder and borehole effects in the measurement of formation resistivity. The tool ...

Performance of a multifrontal parallel direct solver for hpfinite element method
(20091231)In this paper we present the performance of our parallel multifrontal direct solver when applied to solve linear systems of equations resulting from discretizations of a hp Finite Element Method (hpFEM). The hpFEM ...

Sensitivity study of boreholetosurface and crosswell electromagnetic measurements acquired with energized steel casing to water displacement in hydrocarbonbearing layers
(20081231)We study the theoretical response of electromagnetically energized steel casing in the presence of subsurface variations of electrical resistivity. Casing is energized with a finitesize solenoid antenna located along the ...

Energynormbased and goaloriented automatic hp adaptivity for electromagnetics: Application to waveguide Discontinuities
(20081231)The finiteelement method (FEM) enables the use of adapted meshes. The simultaneous combination of h (local variations in element size) and p (local variations in the polynomial order of approximation) refinements, i.e., ...
Date  Title  Place  Author/s  Type  

20100130  Simulation of Logging Measurements using hpFinite Elements 

D. Pardo, P. Matuszyk, M.J. Nam, C. TorresVerdín, V. M. Calo,  Presentations  
20091210 
Simulation of Sonic and Resistivity Logging Measurements Using hpFinite Elements  University of Barcelona, Spain  D. Pardo, M. Paszynski, P. Matuszyk, M.J. Nam, C. TorresVerdín,  Presentations  
20091013  Simulation of eccentricity effects on short and normal logging measurements using a selfadaptive hp finite element method  9th SEGJ International Symposium, Sapporo, Japan  M. J. Nam, S. Hwang, D. Pardo, K. G. Park, C. Lee, C. TorresVerdín, 
Presentations  
20091008  Computational Challenges Associated to the Simulation of Sonic and Resistivity Logging Measurements Using hpFinite Elements.  AGH University of Science and Technology, Krakow, Poland  D. Pardo, M. Paszynski, C. TorresVerdín,  Presentations  
20090908  Parallel direct solvers for adaptive Finite Element and Finite Difference Method  Basque Center for Applied Mathematics, Bilbao, Spain  M. Paszynski, D. Pardo, L. Demkowicz, V.Calo,  Presentations  
20090901  A hpFinite Element Method Applied to the Simulation of Electromagnetics and Acoustic/Elastic Borehole Logging Measurements  Partial Differential Equations, Optimal Design, and Numerics, Benasque, Spain  D. Pardo, P. Matuszyk, M. J. Nam, C. TorresVerdin, V. Calo,  Presentations  
20090821  Parallel mutlifrontal node based solver for hp Finite Element Method  Institute for Computational Engineering and Science, UT Austin, TX, USA  M. Paszynski, D. Pardo, L. Demkowicz, V.Calo,  Presentations  
20090820  Computing with hpFinite Elements  National Instruments, Austin, TX, USA  L. Demkowicz, D. Pardo,  Presentations  
20090814  Simulation of TriAxial Induction Measurements in the Presence of Tool Eccentricity Using a Fourier Series Expansion in a New Sytem of Coordinates and a SelfAdaptive hpFinite Element Method  Joint Industry Research Consortium on Formation Evaluation (Ninth Annual Meeting), Austin, TX, USA  M. J. Nam, D. Pardo, C. TorresVerdin,  Presentations  
20090814  2D Finite Element Simulation of Sonic Measurements Acquired in the Presence of a Tool Mandrel  Joint Industry Research Consortium on Formation Evaluation (Ninth Annual Meeting), Austin, TX, USA  P. Matuszyk, L. Demowicz, D. Pardo, J. Ma, C. TorresVerdin,  Presentations  
20090724  Simulación de Herramientas de Prospección Petrolífera Basadas en el Electromagnetismo Utilizando un Método de Elementos Finitos  First Joint Congress of RSMESMM, Oaxaca, Mexico  D. Pardo, M. J. Nam, C. TorresVerdín, V. Calo,  Presentations  
20090724 

First Joint Congress of RSMESMM, Oaxaca, Mexico 

Presentations  
20090717  A FourierFiniteElement Method in a NonOrthogoal System of Coordinates for the Simulation of 3D Resistivity Logging Measurements Acquired in Deviated Wells  U.S. National Congress on Computational Mechanics 10, Columbus, OH, USA  D. Pardo, M. J. Nam, C. TorresVerdín, V. M. Calo,  Presentations  
20090611  Parallel GoalOriented Adaptivity for a Fourier Finite Element Method. Applications to the OilIndustry,  Mathematics of Finite Elements and its Applications (MAFELAP 2009)  D. Pardo, M. J. Nam, C. TorresVerdín, J. Kurtz,  Presentations  
20090527  A hp FourierFiniteElement Framework with Multiphysics Applications  International Conference on Adaptive Modeling and Simulations (ADMOS 2009), Bruxelles, Belgium  D. Pardo, M. J. Nam, C. TorresVerdin,  Presentations  
20090511  Multiphysics, Inversion, and Petroleum,  CIC bioGUNE  D. Pardo,  Presentations  
20090506  Simulation of Short and Normal Logging Measurements in the Presence of Tool Eccentricity Using Fourier Series Expansion in a New System of Coordinates and a SelfAdaptive hpFinite Element Method,  Confrence of the Korean Society for Geosystems Engineering  M. J. Nam, S. Hwang, D. Pardo, K. G. Park, C. Lee, C. TorresVerdin,  Presentations  
20090506  GoalOriented HighOrder SelfAdaptive hpFinite Element Simulation of DualLaterolog Measurements  Conference of the Korean Society for Geosystems Engineering  M. J. Nam, D. Pardo, C. TorresVerdín,  Presentations  
20090422  SelfAdaptive hpFinite Elemetn Simulation of MultiComponent Induction Measurements  Conference of the Korean Society of Economic and Environmental Geology  M. J. Nam, D. Pardo, C. TorresVerdín,  Presentations  
20090320  A Framework for the Simulation of Multiphysics Problems Based on a hp FourierFiniteElement Method  CERFACS, Toulouse, France  D. Pardo, M. J. Nam, C. TorresVerdín,  Presentations  
20090212  A Framework for the Simulation of Multiphysics Problems Based on a hp FourierFiniteElement Method  University of Pau, France  D. Pardo, M. J. Nam, C. TorresVerdin,  Presentations  
20090108 

Universidad del Pais Vasco, Leioa, Vizcaya, Spain  D. Pardo, M. J. Nam, C. TorresVerdín,  Presentations  
20081110  Inversion of Resistivity and Multiphysics Measurements. Part I: Main Idea and Library Design  Basque Center for Applied Mathematics, Bilbao, Spain  D. Pardo, C. TorresVerdín, M. J. Nam, V. M. Calo,  Presentations  
20081023  An hp Fourier Finite Element (FFE) Framework with Electromagnetics and Multiphysics Applications  VI Iberian Meeting on Computational Electromagnetism, Chiclana, Spain  D. Pardo, C. TorresVerdin, L. E. GarcíaCastillo, M. Paszynski, M. J. Nam,  Presentations  
20081021  SelfAdaptive hpFinite Element Simulation of Multicomponent Induction Measurements Acquired in Dipping, Invaded, and Anisotropic Formations  SiG Resistivity Meeting, Houston, TX, USA  M. J. Nam, D. Pardo, C. TorresVerdin,  Presentations  
20081003  Multiphysics, Petroleum, and Inversion  Basque Center for Applied Mathematics, Bilbao, Spain  D. Pardo,  Presentations  
20080908  SelfAdaptive hp FiniteElement Simulation of MultiComponent Induction and DC/AC Dual Laterolog Measurements Acquired in Dipping, Invaded, and Anisotropic Formations  Korea Institute of Geoscience and Mineral Resources (KIGAM), Daejeon, Korea  Myung Jin Nam, D. Pardo, C. TorresVerdín,  Presentations  
20080825  Simulations of 2.5D Marine Controlled Source Electromagnetic Measurements (CSEM) Using hpFinite Elements  Chevron, San Ramon, CA, USA  D. Pardo, C. TorresVerdin, M.J. Nam,  Presentations  
20080814  MultiPhysics Inversion of Borehole Resistivity Measurements. Part I: Algorithms, Methods, and Library Design.  Joint Industry Research Consortium on Formation Evaluation (Eight Annual Meeting), Austin, TX, USA  D. Pardo, C. TorresVerdin, M. J. Nam, V. M. Calo,  Presentations  
20080813  Software Update on MultiPhysics Simulation and Inversion of Borehole Measurements  Joint Industry Research Consortium on Formation Evaluation (Eight Annual Meeting), Austin, TX, USA  D. Pardo, C. TorresVerdin, M. J. Nam, V. M. Calo, P.J. Matuszyk,  Presentations  
20080813  Software Update on Finite Element Simulation of DC/AC Resistivity Measurements  Joint Industry Research Consortium on Formation Evaluation (Eight Annual Meeting), Austin, TX, USA  D. Pardo, M.J. Nam, C. TorresVerdin,  Presentations  
20080811  SelfAdaptive hp FiniteElement Simulation of AC/DC Dual Laterolog Measurements in Dipping, Invaded, and Anisotropic Formations  Joint Industry Research Consortium on Formation Evaluation (Eight Annual Meeting), Austin, TX, USA  M.J. Nam, D. Pardo, and C. TorresVerdin,  Presentations  
20080811  SelfAdaptive hp FiniteElement Simulation of MultiComponent Induction Measurements Acquired in Dipping, Invaded, and Anisotropic Formations  Joint Industry Research Consortium on Formation Evaluation (Eight Annual Meeting), Austin, TX, USA  M.J. Nam, D. Pardo, and C. TorresVerdin,  Presentations  
20080702  A Fourierfinite Element Formulation and an Iterative Solver for the Simulation of 3D Induction Measurements Acquired in Deviated Wells  PIERS 2008 in Cambridge, Boston, MA, USA  D. Pardo, M. J. Nam, C. TorresVerdin, and M. Paszynski,  Presentations  
20080702  Design of Frequencydomain EM Finite Elements for Geophysical Applications  PIERS 2008 in Cambridge, Boston, MA, USA  D. Pardo, M. J. Nam, C. TorresVerdin, and M. Paszynski,  Presentations  
20080624  New Developments for the Simulation of Galvanic and Induction Logging Measurements in Deviated Wells with Possibly Eccentered Tools  SiG Resistivity Meeting, Houston, TX, USA  D. Pardo, M. J. Nam, C. TorresVerdin, L. Demkowicz,  Presentations  
20080526  Parallel GoalOriented Fully Automatic hp Adaptive Finite Element Method Algorithm with Shared Data Structures  Advances in Structural Engineering and Mechanics (ASEM 2008), Jeju, Korea  M. Paszynski, D. Pardo, C. TorresVerdin,  Presentations  
20080229  Simulation of 3D DC and AC Borehole Resistivity Measurements Using a Fourier Series Expansion in a NonOrthogonal System of Coordinates  Poster Presentation at The University of Texas at Austin (SXSVD Golub's day), Austin, TX, USA  D. Pardo, M. J. Nam, C. TorresVerdin, V. Calo, M. Paszynski,  Presentations  
20080115  Towards Accurate Simulations of AC DualLaterolog Measurements with Tool Eccentricity Using hp Finite Elements  BakerHughes, Houston, TX, USA  M. J. Nam, D. Pardo, C. TorresVerdin,  Presentations  
20071207  Geophysical Simulations Using hpFinite Elements  The University of Texas at Austin, Austin, TX, USA  D. Pardo, C. TorresVerdin, M.J. Nam, M. Paszynski, L. Demkowicz,  Presentations  
20071203  Efficient Sequential and Parallel Solvers for the hpFinite Element Method  APCOM07 in conjuction with EPMESC XI, Kyoto, Japan  M. Paszynski, D. Pardo, C. TorresVerdin,  Presentations  
20070926  Numerical Simulation of 3D EM Borehole Measurements Using an hpAdaptive GoalOriented Finite Element Formulation  SEG annual meeting, San Antonio, TX, USA  D. Pardo, M.J. Nam, C. TorresVerdin, M. Paszynski, V.M. Calo,  Presentations  
20070919  Numerical Simulations of 3D DC and AC Resistivity Logging Measurements in Deviated Wells Using a Fourier Series Expansion in a NonOrthogonal System of Coordinates  Schlumberger, Houston, TX, USA  D. Pardo, M.J. Nam, C. TorresVerdin, M. Paszynski, V.M. Calo,  Presentations  
20070904  Simulaciones Numericas en la Industria del Petroleo Utilizando Elementos Finitos hp  Instituto Madrileño de Estudios Avanzados (IMDEA), Madrid, Spain  D. Pardo, M. Paszynski, C. TorresVerdin, M. J. Nam, Ch. Michler, L. Demkowicz,  Presentations  
20070904  ThreeDimensional OilIndustry Applications Using a GoalOriented hpFinite Element Method  Stanislaw Staszic University of Science and Technology, Krakow, Poland  D. Pardo, M. Paszynski, C. TorresVerdin, M. J. Nam, Ch. Michler, L. Demkowicz,  Presentations  
20070827  Numerical Simulations of 3D DC and AC Resistivity Logging Measurements Using a Fourier Series Expansion in a NonOrthogonal System of Coordinates and a 2D hpFEM  BakerHughes, Houston, TX, USA  D. Pardo, C. TorresVerdin, M. J. Nam, M. Paszynski, V.M. Calo,  Presentations  
20070827  SelfAdaptive hpFinite Element Simulation of DualLaterolog Measurements in Dipping, Invaded, and Anisotropic Formations  Korea Institute of Geoscience and Mineral Resources (KIGAM), Daejeon, Korea  M. J. Nam, D. Pardo, C. TorresVerdin,  Presentations  
20070817  Fast Numerical Simulation of 3D DC/AC Borehole Resistivity Measurements with a Parallel hpAdaptive and GoalOriented Finite Element Method  Joint Industry Research Consortium on Formation Evaluation (Seventh Annual Meeting), Austin, TX, USA  M. Paszynski, D. Pardo, C. TorresVerdin,  Presentations  
17082007  SelfAdaptive hpFinite Element Simulation of DualLaterolog Measurements in Dipping, Invaded, and Anisotropic Formations  Joint Industry Research Consortium on Formation Evaluation (Seventh Annual Meeting), Austin, TX, USA  M. J. Nam, D. Pardo, C. TorresVerdin  Presentations  
16082007  Software Update on Finite Element Simulation of DC/AC Borehole Resistivity Measurements  Joint Industry Research Consortium on Formation Evaluation (Seventh Annual Meeting), Austin, TX, USA  D. Pardo, C. TorresVerdin, M.J. Nam, M. Paszynski  Presentations  
25072007  Simulations of Borehole Acoustic Measurements with Adaptive Finite Elements  U.S. National Congress on Computational Mechanics 9, San Francisco, CA, USA  C. Michler, L. Demkowicz, D. Pardo, C. TorresVerdin  Presentations  
24072007  A Nested Dissection Parallel Direct Solver for Simulations of 3D DC/AC Resistivity Measurements  U.S. National Congress on Computational Mechanics 9, San Francisco, CA, USA  M. Paszynski, D. Pardo, C. TorresVerdin  Presentations  
24072007  Numerical Simulations of 3D Borehole Resistivity Measurements Using a Fourier Series Expansion in a NonOrthogonal System of Coordinates  U.S. National Congress on Computational Mechanics 9, San Francisco, CA, USA  D. Pardo, C. TorresVerdin, M. J. Nam, V. M. Calo, M. Paszynski,  Presentations  
07062007  Fully Automatic hpAdaptivity for Electromagnetics. Application to the Analysis of Hplane and Eplane Rectangular Waveguide Discontinuities  IEEE MTTS International Microwave Symposium, Honolulu, Hawaii, USA  L.E. GarciaCastillo, D. Pardo, L. Demkowicz,  Presentations  
03032007  Efficient simulation of borehole acoustic measurements using adaptive finite elements  Finite Element Rodeo, Houston, TX, USA  C. Michler, L. Demkowicz, C. TorresVerdin, D. Pardo, J. Kurtz,  Presentations  
21022007  A ThreeDimensional SelfAdaptive, GoalOriented hpFinite Element Method with a Multigrid Solver. Applications to Electromagnetics  SIAM Conference in Computational Science and Engineering, Costa Mesa, CA, USA  D. Pardo, L. Demkowicz, C. TorresVerdin, M. Paszynski,  Presentations  
22012007  Efficient computation of acoustic sensing by means of adaptive finite elements  McGill University, Montreal, Canada  C. Michler, L. Demkowicz, C. TorresVerdin, D. Pardo, J. Kurtz  Presentations  
15012007  Conversion of Meshes Between 2D and 3D hp Adaptive Parallel Finite Element Method Codes  XIV Conference Computer Methods in Material Science KomPlasTech 2007, Zakopane, Poland  M. Paszynski, D. Pardo, L. Demkowicz, C. TorresVerdin,  Presentations  
22112006  Efficient computation of acoustic sensing with hpadaptive finite elements  Texas A&M University, College Station, TX, USA  C. Michler, L. Demkowicz, C. TorresVerdin, D. Pardo, J. Kurtz,  Presentations  
15112006  A TwoGrid GoalOriented Iterative Solver for hpFE Discretizations with Possibly Elongated Elements of Elliptic Problems  Eight IMACS International Symposium on Iterative Methods in Scientific Computation, College Station, TX, USA  D. Pardo, L. Demkowicz, C. TorresVerdin,  Presentations  
20092006  Parallel hpFinite Element Simulations of 3D Resistivity Logging Instruments  13th ISPE International Conference on Concurrent Engineering, Antibes, France  M. Paszynski, D. Pardo, L. Demkowicz, C. TorresVerdin,  Presentations  
17082006  Numerical Simulations of 3D DC and AC Resistivity Logging Measurements in Deviated Wells Using a Fourier Series Expansion in a NonOrthogonal System of Coordinates  Joint Industry Research Consortium on Formation Evaluation (Sixth Annual Meeting), Austin, TX, USA  D. Pardo, M. Paszynski, C. TorresVerdin, L. Demkowicz,  Presentations  
17082006  Parallel Numerical Simulation of 3D DC Borehole Resistivity Measurements Using an hpAdaptive GoalOriented Finite Element Formulation  Joint Industry Research Consortium on Formation Evaluation (Sixth Annual Meeting), Austin, TX, USA  M. Paszynski, D. Pardo, C. TorresVerdin, L. Demkowicz,  Presentations  
16082006  2D Simulations of Resistivity Logging Measurements (DEMO)  Joint Industry Research Consortium on Formation Evaluation (Sixth Annual Meeting), Austin, TX, USA  D. Pardo,  Presentations  
11072006  A 2D and 3D hpFinite Element Method for Simulation of Through Casing Resistivity Logging Instruments (Poster Presentation)  2006 IEEE Antennas and Propagation Society International Symposium and URSI National Radio Science Meeting, Albuquerque, NM, USA  D. Pardo, C. TorresVerdin, M. Paszynski, C. Michler, L. Demkowicz,  Presentations  
08072006  Simulation of SurfacetoBorehole and CrossWell EM Measurements Due to Energized Steel Casing. Part II.  Shell, Houston, TX, USA  D. Pardo, C. TorresVerdin, W. Yang,  Presentations  
23062006  The Development of a 3D SelfAdaptive GoalOriented hpFinite Element Software for Simulations of DC Resistivity Logging Instruments  Baker Hughes, Houston, TX, USA  D. Pardo, C. TorresVerdin, W. Yang,  Presentations  
14062006  High Accuracy Simulations of 2D and 3D Resistivity Logging Instruments Using a SelfAdaptive GoalOriented hpFEM  The Mathematics of Finite Elements and its Applications (MAFELAP) 2006, Brunel University, Uxbridge, United Kingdom  D. Pardo, C. TorresVerdin, L. Demkowicz,  Presentations  
05052006  2D and 3D High Accuracy Simulations of Resistivity Logging Instruments Using A SelfAdaptive GoalOriented hp Finite Element Method  Department of Geophysics, Colorado School of Mines, USA  D. Pardo, C. TorresVerdin, L. Demkowicz, C. Michler,  Presentations  
01052006  A TwoDimensional SelfAdaptive hp Finite Element Method for the Analysis of Open Region Problems in Electromagnetics  12th Biennial IEEE Conference on Electromagnetic Field Computation (IEEE CEFC2006), Miami, FL, USA  I. GomezRevuelto, L. E. GarciaCastillo, D. Pardo, L. Demkowicz,  Presentations  
23012006  Simulation of SurfacetoBorehole and CrossWell EM Measurements Due to Energized Steel Casing  Shell, Houston, TX, USA  D. Pardo, C. TorresVerdin, W. Yang, L. Demkowicz,  Presentations  
13122005  The Development of a 3D SelfAdaptive GoalOriented hpFinite Element Software for Simulations of Resistivity Logging Instruments. A Progress Report  BakerHughes, Houston, TX, USA  D. Pardo, L. Demkowicz, C. TorresVerdin, M. Paszynski, J. Kurtz,  Presentations  
18112005  The hpAdaptive Finite Element Method: A Short Course.  BakerHughes, Novosibirsk, Russia  L. Demkowicz, D. Pardo, C. TorresVerdin,  Presentations  
15092005  Adaptatividad Automatica hp en Electromagnetismo. Aplicacion al Analisis de Discontinuidades en Guia.  XX Simposio Nacional de Electromagnetismo (URSI 2005), Gandia, Spain  L.E. GarciaCastillo, D. Pardo, L. Demkowicz,  Presentations  
08092005  High Accuracy Simulations of Resistivity Logging Instruments Using A SelfAdaptive GoalOriented hp Finite Element Method  International Conference on Adaptive Modeling and Simulations (ADMOS 2005), Barcelona, Spain  D. Pardo, C. TorresVerdin, L. Demkowicz,  Presentations  
17082005  SelfAdaptive GoalOriented hpFinite Element Simulations of: (1) Axisymmetric Borehole Acoustics, and (2) 3D Resistivity Logging Instruments  Joint Industry Research Consortium on Formation Evaluation (Fifth Annual Meeting), Austin, TX, USA  D. Pardo, M. Paszynski, L. Demkowicz, C. TorresVerdin,  Presentations  
17082005  SelfAdaptive GoalOriented hpFinite Element Simulations of Induction and Laterolog Measurements in the Presence of Steel Casing  Joint Industry Research Consortium on Formation Evaluation (Fifth Annual Meeting), Austin, TX, USA  D. Pardo, C. TorresVerdin, L. Demkowicz, L. Tabarovsky,  Presentations  
16082005  Automatic hpAdaptivity. A Progress Report  MiniWorkshop: Convergence of Adaptive Algorithms, Oberwolfach, Germany  L. Demkowicz, J. Kurtz, D. Pardo,  Presentations  
28072005  Short Course on hpFinite Elements: A SelfAdaptive GoalOriented hp Finite Element Method with Electromagnetic Applications  U.S. National Congress on Computational Mechanics 8, Austin, TX, USA  D. Pardo, L. Demkowicz, C. TorresVerdin,  Presentations  
27072005  High Accuracy Simulations of Resistivity Logging Instruments Using A SelfAdaptive GoalOriented hp Finite Element Method  U.S. National Congress on Computational Mechanics 8, Austin, TX, USA  D. Pardo, L. Demkowicz, C. TorresVerdin,  Presentations  
15062005  A SelfAdaptive GoalOriented hpFinite Element Simulation of Resistivity CrossWell Measurements with One Steel Cased Well  Shell, Houston, TX, USA  D. Pardo, Y. Wei, C. TorresVerdin, L. Demkowicz,  Presentations  
15062005  Simulation of Resistivity Logging Instruments with Mandrel Using a SelfAdaptive GoalOriented hpFinite Element Method  Shell, Houston, TX, USA  D. Pardo, C. TorresVerdin, L. Demkowicz,  Presentations  
02062005  Progress Report: One Year on a Development of A SelfAdaptive GoalOriented hpFinite Element Strategy for Simulations of Resistivity Logging Instruments  BakerHughes, Houston, TX, USA  D. Pardo, C. TorresVerdin, L. Demkowicz, L. Tabarovsky, A. Bespalov,  Presentations  
05052005  Fully Automatic hpAdaptive Finite Element Method.  Workshop on Multiscale Finite Element Methods, Austin, TX, USA  L. Demkowicz, D. Pardo, J. Kurtz, C. TorresVerdin,  Presentations  
04032005  A Fully Automatic GoalOriented hpAdaptive Finite Element Strategy for Simulations of Resistivity Logging Instruments  Finite Element Rodeo, Dallas, TX, USA  D. Pardo, L. Demkowicz, C. TorresVerdin,  Presentations  
22022005  Progress Report: A Fully Automatic GoalOriented hpAdaptive Finite Element Strategy for Simulations of Resistivity Logging Instruments  BakerHughes, Houston, TX, USA  D. Pardo, C. TorresVerdin, L. Demkowicz, L. Tabarovsky, A. Bespalov,  Presentations  
12122004  Estrategia de Refinamientos hp 'Orientada a un Objetivo' para la Simulacion de Herramientas Electromagneticas en Pozos Petroliferos  Universidad Complutense de Madrid, Spain ; Universidad Carlos III de Madrid, Spain ; Universidad Autonoma de Madrid, Spain ; Universidad de Alcala de Henares, Madrid ; Universidad Politecnica de Valencia, Spain  D. Pardo, L.Demkowicz, C. TorresVerdin, L. Tabarovsky,  Presentations  
27102004  A New Fully Automatic GoalOriented hpAdaptive Finite Element Strategy for Simulations of Resistivity Logging Instruments  SiG Resistivity Meeting, Houston, TX, USA  D. Pardo, C. TorresVerdin, L. Demkowicz,  Presentations  
26102004  A New Fully Automatic GoalOriented hpAdaptive Finite Element Strategy for Simulations of Resistivity Logging Problems. Progress Report  Center for Subsurface Modeling Affiliates Meeting, Austin, TX, USA  D. Pardo, L. Demkowicz, C. TorresVerdin, A. Bespalov,  Presentations  
19082004  A New Fully Automatic GoalOriented hpAdaptive Finite Element Strategy for Simulations of Resistivity Logging Instruments  Joint Industry Research Consortium on Formation Evaluation (Fourth Annual Meeting), Austin, TX, USA  D. Pardo, C. TorresVerdin, L. Demkowicz,  Presentations  
27072004  A Fully Automatic GoalOriented hpAdaptive Strategy with Applications to Electromagnetics. Part I: A DC Resistivity Logging Problem  BakerHughes, Houston, TX, USA  D. Pardo, L. Demkowicz, C. TorresVerdin, L. Tabarovsky,  Presentations  
03062004  Estrategia de Refinamientos Automaticos hp Integrada con un Resolvedor de Dos Mallas: Aplicaciones al Electromagnetismo.  Universidad del Pais Vasco, Spain  D. Pardo, L. Demkowicz,  Presentations  
30032004  Integration of hpAdaptivity with a Two Grid Solver: Applications to Electromagnetics. Ph.D. Dissertation Defense  The University of Texas at Austin, USA  D. Pardo,  Presentations  
19022004  Integration of hpAdaptivity with a Two Grid Solver: Applications to Electromagnetics. Progress Report  BakerHughes, Houston, TX, USA  D. Pardo, L. Demkowicz,  Presentations  
18012004  Integration of a Fully Automatic hpAdaptive Strategy with a Two Grid Solver: Applications to Electromagnetics.  VI Seminar in Computer Modeling and Microwave Engineering, Austin, TX, USA  D. Pardo,  Presentations  
08012004  Fully Automatic hpAdaptive FEM for Maxwell's Equations in Three Dimensions  AFOSR Electromagnetic Workshop, San Antonio, TX, USA  L. Demkowicz, D. Pardo,  Presentations  
15122003  Estrategia de Refinamientos Automaticos hp Integrada con un Resolvedor de Dos Mallas: Aplicaciones al Electromagnetismo  III Encuentro Iberico de Electromagnetismo Computacional, Sedano, Burgos, Spain  D. Pardo, L. Demkowicz,  Presentations  
15122003  Estrategia de Refinamientos Automaticos hp Integrada con un Resolvedor de Dos Mallas: Aplicaciones al Electromagnetismo  Universidad Autonoma de Madrid, Spain ; Universidad Carlos III de Madrid, Spain ; Universidad Politecnica de Valencia, Spain  D. Pardo, L. Demkowicz,  Presentations  
12112003  Integration of hpAdaptivity with a Two Grid Solver: Applications to Electromagnetics. Progress Report.  BakerHughes, Houston, TX, USA  D. Pardo,  Presentations  
31102003  Integration of hpAdaptivity with a Two Grid Solver: Applications to Electromagnetics. Final Ph.D. Progress Report  The University of Texas at Austin, USA  D. Pardo,  Presentations  
09092003  Integration of hpAdaptivity with a Two Grid Solver: Applications to Electromagnetics  US National Congress on Computational Mechanics 7, Albuquerque, NM, USA  D. Pardo, L. Demkowicz,  Presentations  
09092003  Integration of hpAdaptivity with a Two Grid Solver: Applications to Electromagnetics.  Adaptivity in Finite Element Analysis: Models, Meshes and Polynomial Order, Bad Honeff, Germany  D. Pardo, L. Demkowicz,  Presentations  
19062003  An hpAdaptive Finite Element (FE) Method for Solving Electromagnetic (EM) Problems with Special Emphasis in Petroleum Engineering Applications  BakerHughes, Houston, TX, USA  D. Pardo,  Presentations  
12062003  Limitations of a Fully Automatic hpAdaptive Strategy for the Finite Element (FE) Method  BakerHughes, Houston, TX, USA  D. Pardo,  Presentations  
22052003  Analysis of Edge Singularities Arising in Electromagnetic Computations  BakerHughes, Houston, TX, USA  D. Pardo,  Presentations  
13012003  Fully Automatic hpAdaptive Simulations for Maxwell's Equations.  AFOSR Electromagnetic Workshop, San Antonio, TX, USA  L. Demkowicz, D. Pardo,  Presentations  
08112002  Integration of hpAdaptivity with a Two Grid Solver: Applications to Electromagnetics. Ph.D. Project Proposal  The University of Texas at Austin, USA  D. Pardo,  Presentations  
14032002  A Two Grid Solver for a 2D Fully Automatic hpAdaptive Finite Element Code.  FEM Rodeo, College Station, TX, USA  D. Pardo, L. Demkowicz,  Presentations  
08012002  Adaptive hp FE Modeling For Maxwell's Equations, A progress Report.  AFOSR Electromagnetics Workshop, San Antonio, TX, USA  L. Demkowicz, D. Pardo,  Presentations 