Clint N. Dawson
University of Texas at Austin, TX, USA

Mary F. Wheeler
University of Texas at Austin, TX, USA

Ivan Yotov,
University of Pittsburgh, PA, USA

Founding Managing Editor:

J.-C. van Duijn

Associate Editors:

M.T. Balhoff, The University of Texas at Austin, TX, USA
Pore scale modeling; multiscale modeling
J. Caers, Stanford University, CA, USA
Data science, uncertainty quantification
A.H. Elsheikh, Heriot-Watt University, Edinburgh, UK
Inverse modeling
E. Gildin, Texas A & M University, College Station, TX, USA
Data assimilation; reduced order methods
I. Hoteit, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
Data assimilation and parameter estimation
M. Iskandarani, University of Miami, FL, USA
Numerical methods for ocean hydrodynamics
J. Ita, Shell Global Solutions US Inc., Katy, TX, USA
Geomechanics and multi-scale modeling
B. Jafarpour, University of Southern California, Los Angeles, CA, USA
Stochastic Descriptions, Inverse Modeling, Optimization for Subsurface Flow, Transport Systems
H. Klie, DeepCast.ai, Houston, TX, USA
Data sciences for solving subsurface problems
P. Knabner, Universit├Ąt Erlangen, Germany
Modeling, analysis, numerical approximation of reactive transport process in porous media
M.A. Murad, LNCC-CMC, Rio de Janeiro, Brazil
I.S. Pop, Hasselt University, Belgium
Analysis and modeling of flow through porous media
A.C. Reynolds, University of Tulsa, OK, USA
Data assimilation, reservoir optimisation, uncertainty quantification
S. Sun, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
Numerical methods for flow and transport
D.M. Tartakovsky, Stanford University, CA, USA
Uncertainty quantification, multiscale modeling, data-driven simulation
A. Tompson, Lawrence Livermore National Laboratory, CA, USA
Hydrologic flow
T. van Leeuwen, Utrecht University, The Netherlands
Computational methods for inverse problems in seismology
D. Zhang, Peking University, Beijing, P.R. China
Stochastic uncertainty modeling

Editorial Board:

V. Cvetkovic, Royal Institute of Technology, Stockholm, Sweden
Stochastic approach to flow
M. Delshad, University of Texas, TX, USA
Reservoir Engineering
L. Durlofsky, Stanford University, CA, USA
Reservoir simulation, upscaling, production optimization, reduced-order modeling, fractured-reservoir modeling
R. Helmig, University of Stuttgart, Germany
Environmental fluid mechanics
J.D. Jansen, DelftUniversity of Technology, The Netherlands
Reservoir simulation, optimization, data assimilation, smart fields
T. Mannseth, NORCE Norwegian Research Centre, Bergen, Norway
Inverse problems, data assimilation
W.A. Mulder, Shell Global Solutions International, Rijswijk, The Netherlands
Seismic modeling