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Louis J. Durlofsky

Louis J. Durlofsky

D-Index & Metrics

Engineering and Technology

D-Index
83
Citations
22408
World Ranking
444
National Ranking
151

Overview

Louis J. Durlofsky is affiliated with Stanford University in the United States and primarily works in the field of Engineering. Their research encompasses a variety of subfields including Ocean Engineering, Mechanical Engineering, Environmental Engineering, Geophysics, and Geochemistry and Petrology.

The main topics of their work are centered on Reservoir Engineering and Simulation Methods, Hydraulic Fracturing and Reservoir Analysis, and Enhanced Oil Recovery Techniques. Additional research areas include CO2 Sequestration and Geologic Interactions, Drilling and Well Engineering, Seismic Imaging and Inversion Techniques, and Geological Modeling and Analysis.

Recent papers authored or co-authored by Durlofsky include:

  • A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems (2020), Journal of Computational Physics
  • Deep-learning-based surrogate flow modeling and geological parameterization for data assimilation in 3D subsurface flow (2021), Computer Methods in Applied Mechanics and Engineering
  • Deep-learning-based surrogate model for reservoir simulation with time-varying well controls (2020), Journal of Petroleum Science and Engineering
  • Deep-learning-based coupled flow-geomechanics surrogate model for CO2 sequestration (2022), International Journal of Greenhouse Gas Control
  • 3D CNN-PCA: A deep-learning-based parameterization for complex geomodels (2020), Computers & Geosciences

Durlofsky has collaborated frequently with several researchers, notably Su Jiang, Haoyu Tang, Yusuf Nasir, Yifu Han, and Oleg Volkov.

Their work is published in a range of venues, including multiple publications in arXiv (Cornell University), SSRN Electronic Journal, Computational Geosciences, Journal of Computational Physics, and Journal of Petroleum Science and Engineering.

Best Publications

  • An Efficient Discrete-Fracture Model Applicable for General-Purpose Reservoir Simulators

    Mohammad Karimi-Fard;Louis J. Durlofsky;Khalid Aziz

  • Numerical calculation of equivalent grid block permeability tensors for heterogeneous porous media

    Louis J. Durlofsky

  • Dynamic simulation of hydrodynamically interacting particles

    L. Durlofsky;J. F. Brady;G. Bossis

  • Optimization of Nonconventional Well Type, Location, and Trajectory

    Burak Yeten;Louis J. Durlofsky;Khalid Aziz

  • Application of a particle swarm optimization algorithm for determining optimum well location and type

    Jérôme E. Onwunalu;Louis J. Durlofsky

  • A coupled local-global upscaling approach for simulating flow in highly heterogeneous formations

    Y. Chen;L.J. Durlofsky;L.J. Durlofsky;M. Gerritsen;X.H. Wen

  • Analysis of the Brinkman equation as a model for flow in porous media

    L. Durlofsky;J. F. Brady

  • Drift-Flux Modeling of Two-Phase Flow in Wellbores

    Hua Shi;Jonathan A. Holmes;Louis J. Durlofsky;Khalid Aziz

  • Efficient real-time reservoir management using adjoint-based optimal control and model updating

    Pallav Sarma;Louis J. Durlofsky;Khalid Aziz;Wen H. Chen

  • Experimental study of two and three phase flows in large diameter inclined pipes

    G. Oddie;H. Shi;L.J. Durlofsky;L.J. Durlofsky;K. Aziz

  • A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems

    Meng Tang;Yimin Liu;Louis J. Durlofsky

  • MODELING FLUID FLOW IN OIL RESERVOIRS

    Margot G. Gerritsen;Louis J. Durlofsky

  • Kernel Principal Component Analysis for Efficient, Differentiable Parameterization of Multipoint Geostatistics

    Pallav Sarma;Pallav Sarma;Louis J. Durlofsky;Khalid Aziz

  • Implementation of Adjoint Solution for Optimal Control of Smart Wells

    P. Sarma;K. Aziz;L.J. Durlofsky

  • A triangle based mixed finite element–finite volume technique for modeling two phase flow through porous media

    Louis J. Durlofsky

  • Accuracy of mixed and control volume finite element approximations to Darcy velocity and related quantities

    Louis J. Durlofsky

  • Drift-Flux Parameters for Three-Phase Steady-State Flow in Wellbores

    Hua Shi;Jonathan Holmes;Luis Diaz;Louis J. Durlofsky

  • Production Optimization With Adjoint Models Under Nonlinear Control-State Path Inequality Constraints

    Pallav Sarma;Wen H. Chen;Louis J. Durlofsky;Khalid Aziz

  • A nonuniform coarsening approach for the scale-up of displacement processes in heterogeneous porous media

    Louis J. Durlofsky;Richard C. Jones;William J. Milliken

  • Adaptive Local–Global Upscaling for General Flow Scenarios in Heterogeneous Formations

    Yuguang Chen;Louis J. Durlofsky;Louis J. Durlofsky

  • Joint optimization of oil well placement and controls

    Mathias Rodrigez Bellout;David Echeverria Ciaurri;Louis J. Durlofsky;Bjarne Anton Foss

  • Development and application of reduced-order modeling procedures for subsurface flow simulation

    M. A. Cardoso;L. J. Durlofsky;P. Sarma

Frequent Co-Authors

Khalid Aziz
Khalid Aziz Stanford University
Adam R. Brandt
Adam R. Brandt Stanford University
Hamdi A. Tchelepi
Hamdi A. Tchelepi Stanford University
Atilla Aydin
Atilla Aydin Stanford University
Yalchin Efendiev
Yalchin Efendiev Texas A&M University
Seong H. Lee
Seong H. Lee Chevron (Netherlands)
John F. Brady
John F. Brady California Institute of Technology
Patrick Jenny
Patrick Jenny ETH Zurich
Stanley Osher
Stanley Osher University of California, Los Angeles
Jef Caers
Jef Caers Stanford University

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