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2021 SPE Reservoir Simulation Conference Special Issue

Guest Editors: Knut-Andreas Lie, SINTEF Digital, and Rami Younis, University of Tulsa


Since 1968, Society of Petroleum Engineers (SPE) has organized 25 conferences and symposia on numerical reservoir simulation. These meetings have brought numerous generations of innovators, scholars, and professionals together to tackle some of the most pressing technical challenges in the use of computation, to advance prudent and efficient business needs. It has also served to inspire future innovation while cultivating a strong sense of culture, community, and stewardship. The conference series has presented more than 1,300 technical papers and has had an immense impact on reservoir simulation technology.

This special issue presents selected and peer-reviewed versions of technical papers prepared for the 2021 SPE Reservoir Simulation Conference, which is the 26th installment in the conference series. The papers represent a cross section of contemporary research and cover a wide range of topics, from research on basic discretization schemes, solution strategies, and optimization methods, to uncertainty quantification, fractured unconventionals, machine-learning methods, and implementations on last generation multicore architectures.

The special issue will also contain an overview paper that will celebrate the 25 previous conferences by reflecting on the past 60 years of reservoir simulation to empower future generations of leaders and technical experts. This paper will be coauthored by an international cross-institutional team of authors, including influential pioneers who have been there through significant portions of the journey.

Note: This special issue is being compiled in real time. New papers will appear below in the order that they are accepted for publication.

Dimensionless Solutions for the Time-Dependent and Rate-Dependent Productivity Index of Wells in Deformable Reservoirs
W. Zhang and A. Mehrabian
SPE J. 26 (5): 2814–2836

An Improved Multicomponent Diffusion Model for Compositional Simulation of Fractured Unconventional Reservoirs
Y. Tian, C. Zhang, Z. Lei, X. Yin, H. Kazemi, and Y. Wu
SPE J. 26 (5): 3316–3341

A Recurrent Neural Network–Based Proxy Model for Well-Control Optimization with Nonlinear Output Constraints
Y. D. Kim and L. J. Durlofsky
SPE J. 26 (4): 1837–1857

Deep Reinforcement Learning for Generalizable Field Development Optimization
J. He, M. Tang, C. Hu, S. Tanaka, K. Wang, X.-H. Wen, and Y. Nasir
SPE J. 27 (1): 226–245

Biobjective Optimization of Well Placement: Algorithm, Validation, and Field Testing
F. Alpak, V. Jain, Y. Wang, and G. Gao
SPE J. 27 (1): 246–273

Toward Accurate Reservoir Simulations on Unstructured Grids: Design of Simple Error Estimators and Critical Benchmarking of Consistent Discretization Methods for Practical Implementation
X. Raynaud, A. Pizzolato, A. Johansson, F. Caresani, A. Ferrari, O. Møyner, H. M. Nilsen, A. Cominelli, and K.-A. -A. Lie
SPE J. 26 (6): 4109–4127

Efficient Uncertainty Quantification and Data Assimilation via Theory-Guided Convolutional Neural Network
N. Wang, H. Chang, and D. Zhang
SPE J. 26 (6): 4128–4156

High-Resolution Compositional Reservoir Simulation with Dynamic Coarsening and Local Timestepping for Unstructured Grids
Ø. S. Klemetsdal, O. Møyner, A. Moncorgé, H. M. Nilsen, and K-. A. Lie
SPE J. 26 (6): 4157–4173

Multiscale Pressure/Volume/Temperature Simulation of Decreasing Condensate/Gas Ratio at Greater than Dewpoint Pressure in Shale Gas-Condensate Reservoirs
S. Luo, F. Chen, D. Zhou, and H. Nasrabadi
SPE J. 26 (6): 4174–4186

Implicit Space-Time Domain Decomposition Approach for Solving Multiphase Miscible Flow: Accuracy and Scalability
H. Li and M. F. Wheeler
SPE J. 26 (6): 4187–4198

An Adaptive Sequential Fully Implicit Domain-Decomposition Solver
Ø. S. Klemetsdal, A. Moncorgé, H. M. Nilsen, O. Møyner, and K-. A. Lie
SPE J. 27 (1): 566–578

A Graphics Processing Unit–Based, Industrial Grade Compositional Reservoir Simulator 
K. Esler, R. Gandham, L. Patacchini, T. Garipov, A. Samardzic, P. Panfili, F. Caresani, A. Pizzolato, and A. Cominelli
SPE J. 27  (1): 597–612

A Fast Gridding Method for Capturing Geological Complexity and Uncertainty
Y. Xu, P. Srivastava, X. Ma, K. Kaul, and H. Huang
SPE J. 27  (1): 632–642

Efficient Drilling Sequence Optimization Using Heuristic Priority Functions
Z. Wang, J. He, S. Tanaka, and X.-H. Wen
SPE J. 27 (1): 133–152

Strategies to Enhance the Performance of Gaussian Mixture Model Fitting for Uncertainty Quantification
G. Gao, J. Vink, F. Saaf, and T. Wells
SPE J. 27 (1): 329–348

Scalable Graphics Processing Unit–Based Multiscale Linear Solvers for Reservoir Simulation
A. M. Manea and T. Almani
SPE J.  27 (1): 643–662

Aspects of Multiscale Flow Simulation with Potential to Enhance Reservoir Engineering Practice
S. K. Khataniar, D. de Brito Dias, and R. Xu
SPE J. 27 (1): 663–681

An Efficient Bi-Objective Optimization Workflow Using the Distributed Quasi-Newton Method and Its Application to Well-Location Optimization
Y. Wang, F. Alpak, G. Gao, C. Chen, J. Vink, T. Wells, and F. Saaf
SPE J. 27 (1): 364–380

A Phase-Field-Based Approach for Modeling Flow and Geomechanics in Fractured Reservoirs
M. Jammoul and M. F. Wheeler
SPE J. 27 (2): 1195–1208

A Cut-Cell Polyhedral Finite Element Model for Coupled Fluid Flow and Mechanics in Fractured Reservoirs
I. Shovkun and H. A. Tchelepi
SPE J. 27 (2): 1221–1243

Automatic Calibration of a Geomechanical Model from Sparse Data for Estimating Stress in Deep Geological Formations
O. Andersen, M. Kelley, V. Smith, and S. Raziperchikolaee
SPE J. 27 (2): 1140–1159

GeoDIN - Geoscience-Based Deep Interaction Networks for Predicting Flow Dynamics in Reservoir Simulation Models
M. Maucec and R. Jalali
SPE J. 27 (3): 1671–1689

Fast Screening Tool for Assessing the Impact of Poro-Mechanics on Fractured Reservoirs Using Dual-Porosity Flow Diagnostics
L. Gutierrez-Sosa, S. Geiger, and F. Doster
SPE J. 27 (3): 1690–1707

Streamline Tracing and Applications in Dual-Porosity Dual-Permeability Models
T. Onishi, S. Tanaka, H. Chen, D. Kam, J. Xie, Z. Wang, X. Wen, and A. Datta-Gupta
SPE J. (in press; posted online 16 March 2022)

Compositional Reservoir Simulation: A Review
Larry C. Young
SPE J. (in press; posted online 31 March 2022)

Deep Learning for Latent Space Data Assimilation in Subsurface Flow Systems
S. M. Razak, A. Jahandideh, U. Djuraev, and B. Jafarpour
SPE J. (in press; posted online 20 April 2022)

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