Filter By Date

Tuesday, October 26

00:00 - 00:00
01  Formulation, Discretization, and Mesh Generation - Part I
92-day Session
Session Chairpersons Mary Wheeler - The University of Texas At Austin, Leonardo Patacchini - Stone Ridge Technology
This session covers alternatives to the industry standard monolithic fully implicit formulation with two-point flux discretization. Three papers discuss improvements to the sequential fully implicit solution method, two papers present ideas for estimation of reservoir simulation accuracy on unstructured grids, and one paper presents a theoretical study of sequential coupling algorithms for flow and geomechanics for hydraulic fractured systems.
Time Paper # Presentation
High-Resolution Reservoir Simulation With Dynamic Coarsening And Local Timestepping O.S. Klemetsdal, Sintef Applied Mathematics
203900 Reservoir Description & Dynamics Inexact Methods for Black-Oil Sequential Fully Implicit (SFI) Scheme Y. Zhou, J. Jiang, P. Tomin, Chevron
Towards Accurate Reservoir Simulations on Unstructured Grids - Design of Simple Error Estimators and Critical Benchmark of Consistent Discretization Methods for Practical Implementation A. Pizzolato, Eni
203909 Reservoir Description & Dynamics Coupling-Strength Criteria for Sequential Implicit Formulations J. Franc, Stanford University; O. Møyner, SINTEF Digital / NTNU; H.A. Tchelepi, Stanford University
Alternate 203961 Reservoir Description & Dynamics Grid Quality Measures for PEBI Grids I.D. Mishev, R. Rin, ExxonMobil
Alternate 203938 Reservoir Description & Dynamics Theoretical Investigation on Unconditionally Stable Sequential Algorithms of Coupled Flow and Geomechanics for Hydraulically Fractured Systems J. Kim, Texas A&M University
00:00 - 00:00
02  Data Assimilation, Optimization, and Uncertainty Quantification
92-day Session
Session Chairpersons Hector Klie - DeepCast, Santosh Verma - ExxonMobil Upstream Research Co.
Determination of optimal field management strategies in the presence of multiple sources of uncertainties and operational constraints depends heavily on the efficient and continuous improvement of both data and models. This session will highlight the latest technological advances oriented to streamline history matching, uncertainty quantification, and optimization workflows in increasingly complex field scenarios.
Time Paper # Presentation
Deep Reinforcement Learning for Generalizable Field Development Plan Optimization J. He, Chevron
203907 Reservoir Description & Dynamics Scalable Hierarchical Multilevel Sampling of Lognormal Fields Conditioned on Measured Data A.T. Barker, C.S. Lee, Lawrence Livermore National Laboratory; F. Forouzanfar, A. Guion, X. Wu, ExxonMobil
203954 Reservoir Description & Dynamics An Optimization-Based Facility Network Solver for Well Allocation in Reservoir Simulation K. Wiegand, Y. Zaretskiy, K. Mukundakrishnan, L. Patacchini, Stone Ridge Technology
Bi-Objective Optimization of Well Placement: Algorithm, Validation, and Field Testing F.O. Alpak, Shell International E&P Co.
Alternate 203975 Reservoir Description & Dynamics Numerical Comparison Between ES-MDA and Gradient-Based Optimization for History Matching of Reduced Reservoir Models M.A. Borregales Reveron, Consultant; H.H. Holm, O. Møyner, S. Krogstad, K. Lie, SINTEF
00:00 - 00:00
03  Modeling of Complex and Coupled Systems - Part I
92-day Session
Session Chairpersons Hui Cao - Total E&P USA, Inc., Yu Didier Ding - IFP Energies Nouvelles
Today's oil and gas production is more complex than ever, so is the need to accurately model complex and coupled recovery process. Papers in this session provide the latest advances in near-fracture imbibition process with a similarity solution, thermal stability check in thermal compositional simulation, thermal-hydraulic-mechanical (THM) modeling, as well as unified reservoir and seismic simulation.
Time Paper # Presentation
203959 Reservoir Description & Dynamics A Similarity Solution for Imbibition Process and its Adaptation in Finite Difference Simulation of Fractured Reservoirs S. Du, S.H. Lee, X. Wen, Chevron; Y. Efendiev, Texas A&M University
203912 Reservoir Description & Dynamics Development of a Thermal Stability Method for Phase Appearance and Disappearance Handling in Thermal Compositional Simulators M. Heidari, T.W. Stone, Schlumberger
203923 Reservoir Description & Dynamics Theoretical Analysis and Semi-Analytical Formulation for Efficient Thermal-Hydraulic-Mechanical Reservoir Simulation S. Wang, Chevron; Y. Wu, Colorado School of Mines; X. Wen, Chevron
203979 Reservoir Description & Dynamics Unified Reservoir and Seismic Simulation with Explicit Representation of Fractures and Faults Z. Han, G. Ren, R. Younis, University of Tulsa
Alternate 203955 Reservoir Description & Dynamics Use of Horizontal Drift-Flux Models for Simulating Wellbore Flow in SAGD Operations M.R. Heidari, C. Istchenko, W.J. Bailey, T.W. Stone, Schlumberger
00:00 - 00:00
04  Multiscale Methods
92-day Session
Session Chairpersons Kyrre Bratvedt - Schlumberger, Knut-Andreas Lie - SINTEF
Multiscale methods aim to accelerate reservoir simulation. This session discusses new methods, computational performance, and how these methods can be applied to solve challenging problems in a commercial setting.
Time Paper # Presentation
Implicit Space-time Domain Decomposition Approach for Solving Multiphase Miscible Flow: Accuracy and Scalability H. Li, University of Texas At Austin
203939 Reservoir Description & Dynamics A Massively Parallel Restriction-smoothed Basis Multiscale Solver on Multi-core and GPU Architectures A.M. Manea, Saudi Aramco
203996 Reservoir Description & Dynamics Aspects of Multiscale Flow Simulation with Potential to Enhance Reservoir Engineering Practice S.K. Khataniar, D.D. Dias, R. Xu, Schlumberger
203970 Reservoir Description & Dynamics Differences in the Upscaling Procedure for Compositional Reservoir Simulations of Immiscible and Miscible Gas Flooding V. de Souza Rios, Petrobras; A. Skauge, University of Bergen; K.S. Sorbie, G. Wang, Heriot-Watt University; D.J. Schiozer, University of Campinas; L. Schmall, Petrobras
Multi-Scale PVT Simulation of Decreasing Condensate-Gas Ratio above Dew-Point Pressure in Shale Gas-Condensate Reservoirs S. Luo, Chevron Corporation
00:00 - 00:00
05  Linear and Nonlinear Solution Methods
92-day Session
Session Chairpersons Faruk Omer Alpak - Shell International E&P Co., Denis Voskov - Delft University of Technology
Contemporary frontiers in reservoir simulation are increasingly demanding computationally reliable, scalable and efficient solutions that can accurately capture the dynamics of complex multiscale/multiphysics phenomena. Linear and nonlinear solvers play the leading role in reservoir simulation since they are responsible for the most significant fraction of computational time. This session will feature novel algorithmic developments in domain decomposition solvers, nonlinear solution strategies, multiscale methods for heterogeneous and anisotropic porous media, and multiphysics geomechanics-flow coupling.
Time Paper # Presentation
Adaptive Sequential Fully Implicit Domain-Decomposition Solver A. Moncorge, Total E&P France
203987 Reservoir Description & Dynamics Efficient Localized Nonlinear Solution Strategies For Unconventional-reservoir Simulation With Complex Fractures J. Jiang, Chevron Energy Technology Company
204009 Reservoir Description & Dynamics A Multi-level Non-linear Solver for Complex Well Modelling Z. Chen, T.M. Al-Shaalan, A.H. Dogru, Saudi Aramco
203977 Completions Coupling a Geomechanical Reservoir and Fracturing Simulator with a Wellbore Model for Horizontal Injection Wells S. Zheng, M.M. Sharma, The University of Texas at Austin
00:00 - 00:00
06  Applications of Scientific Machine Learning and Computational Statistics to Modeling and Management - Part I
92-day Session
Session Chairpersons Eduardo Gildin - Texas A&M University, Pallav Sarma - Tachyus
Machine learning is driving a paradigm shift in several reservoir simulation domains by rapidly expanding the frontiers of research by embedding physics into data driven models and/or extracting physical insights from data. These transformations aim to create fast models with long term predictive capacity, improve the simulator engine, enable models to be more interpretable and generalizable, and help in discovery of unexposed reservoir dynamics. This session explores new approaches to physics-based and data-driven models and combinations thereof that effectively embed physical constraints, conservation laws and constitutive relations with data for robust upscaling, sensible time-stepping, accurate proxy models and efficient optimization schemes.
Time Paper # Presentation
204002 Reservoir Description & Dynamics Intelligent Time-Stepping for Practical Numerical Simulation S. Sheth, Schlumberger Oilfield UK Plc; F. McKee, Schlumberger; K.J. Neylon, G. Fazil, Schlumberger Oilfield UK plc
203934 Reservoir Description & Dynamics Physics Informed Deep Learning for Flow and Transport in Porous Media C. Fraces, H.A. Tchelepi, Stanford University
203950 Reservoir Description & Dynamics Bayesian Optimization for Field Scale Geological Carbon Sequestration X. Lu, The University of Texas at Austin; K. Jordan, IBM Research; M.F. Wheeler, The University of Texas at Austin; E.O. Pyzer-Knapp, M. Benatan, IBM Research
203931 Reservoir Description & Dynamics INSIM-FPT-3D: A Data-Driven Model for History Matching, Water-Breakthrough Prediction and Well-Connectivity Characterization in Three-Dimensional Reservoirs H. Zhao, W. Liu, X. Rao, G. Sheng, Yangtze University; H. Li, University of Alberta; Z. Guo, Occidental Petroleum Corporation; D. Liu, L. Cao, Yangtze University
00:00 - 00:00
07  Modeling of Complex and Coupled Systems - Part II
92-day Session
Session Chairpersons Ann Muggeridge - Imperial College London, Yu-Shu Wu - Colorado School of Mines
As the petroleum industry pays more attention to unconventional shale/tight reservoirs as well as better IOR/EOR approaches in those reservoirs and conventional reservoirs, engineers need to model many additional flow mechanisms and coupled physics processes. The presentations in this session focus particularly on advances in the modeling of fractures (natural or hydraulic, including the formation and growth of those fractures and the flow within them.
Time Paper # Presentation
203937 Reservoir Description & Dynamics A Time-Continuation Solver for Hydraulic Fracture Propagation G. Ren, R. Younis, The University of Tulsa
203983 Reservoir Description & Dynamics A 3D Coupled Thermal-Hydraulic-Mechanical (THM) Model Using EDFM and XFEM for Hydraulic-Fracture-Dominated Geothermal Reservoirs X. Yu, Colorado School of Mines; C. Wang, Saudi Aramco; X. Yan, China University of Petroleum (East China); S. Wang, Chevron N America Upstream; L. Wang, Nazarbayev University; P.H. Winterfeld, Y. Wu, Colorado School of Mines
203962 Reservoir Description & Dynamics Upscaling of Realistic Discrete Fracture Simulations Using Machine Learning N. Andrianov, Geological Survey of Denmark and Greenland (GEUS)
203990 Reservoir Description & Dynamics Modelling Methane Extraction from Stimulated Coalbed Influenced by Multidomain and Thermal Effects W. Li, J. Liu, J. Zeng, Y. Leong, The University of Western Australia; D. Elsworth, The Pennsylvania State University; J. Tian, The University of Western Australia
203978 Reservoir Description & Dynamics Four Phase Relative Permeability and Capillary Pressure Framework for Surfactant EOR Simulation B. Samson, M. Shaykhattarov, Schlumberger
203956 Reservoir Description & Dynamics Coupling of Rigorous Multiphase Flash with Advanced Linearization Schemes for Accurate Compositional Simulation A.M. Abd, A.S. Abushaikha, Hamad Bin Khalifa University; D.V. Voskov, Delft University of Technology
00:00 - 00:00
08  Applications of Scientific Machine Learning and Computational Statistics to Modeling and Management - Part II
92-day Session
Session Chairpersons Abdulrahman Manea - Saudi Aramco PE&D, Aquiles Agreda - ConocoPhillips Co
Physics-augmented computational statistics and machine learning techniques, specifically deep learning, have gained interest in various areas of reservoir simulation. This session covers some recent novel developments in physics-augmented machine learning techniques to handle field wells management and optimization, reduced-order modeling, uncertainty quantification and history matching.
Time Paper # Presentation
A Recurrent Neural Network-based Proxy Model for Well Control Optimization with Nonlinear Output Constraints Y. Kim,
203994 Reservoir Description & Dynamics Physics-Aware Deep-Learning-Based Proxy Reservoir Simulation Model Equipped with State and Well Output Prediction E.J. Coutinho, Texas A&M University and Petrobras; M.J. Dall'Aqua, E. Gildin, Texas A&M University
203924 Reservoir Description & Dynamics History Matching Complex 3D Systems Using Deep-Learning-Based Surrogate Flow Modeling and CNN-PCA Geological Parameterization M. Tang, Y. Liu, L.J. Durlofsky, Stanford University
203965 Reservoir Description & Dynamics Reduced-Order Modeling for Multiphase Flow Using a Physics-Based Deep Learning T. Alsulaimani, M.F. Wheeler, The University of Texas At Austin
Efficient Uncertainty Quantification and Data Assimilation via Theory-Guided Convolutional Neural Network D. Zhang, Peking University
204004 Management & Information A Physics-Based Proxy for Surface and Subsurface Coupled Simulation Models C. Yang, J. He, S. Du, Z. Wang, T. Onishi, X. Guan, J. Chen, X. Wen, Chevron Corporation
Alternate 203917 Reservoir Description & Dynamics Physics Inspired Machine Learning for Solving Fluid Flow in Porous Media: A Novel Computational Algorithm for Reservoir Simulation C. Sambo, Y. Feng, University of Louisiana at Lafayette
00:00 - 00:00
09  Formulation, Discretization, and Mesh Generation - Part II
92-day Session
Session Chairpersons Mohammad Karimi-Fard - Stanford University, Vijay Shrivastava - Computer Modelling Group Ltd.
This session will cover several interesting aspects of reservoir simulation including unstructured mesh generation for complex geological formations and specialized discretization techniques for modeling such systems. In addition, novel solution strategies for coupled flow & mechanics, and reactive transport in heterogeneous and fractured porous media will be presented.
Time Paper # Presentation
203949 Reservoir Description & Dynamics Comparison of Various Discretization Schemes for Simulation of Large Field Case Reservoirs Using Unstructured Grids P. Samier, M. Raguenel, G. Darche, Total SE
203958 Reservoir Description & Dynamics A Cut-Cell Polyhedral Finite Element Model for Coupled Fluid Flow and Mechanics in Fractured Reservoirs I. Shovkun, H.A. Tchelepi, Stanford University
203902 Reservoir Description & Dynamics A Fast Gridding Method for Capturing Geological Complexity and Uncertainty Y. Xu, P. Srivastava, X. Ma, K. Kaul, H. Huang, ExxonMobil
203974 Reservoir Description & Dynamics Adaptive Time Stepping, Linearization and a Posteriori Error Control for Multiphase Flow with Wells E. Ahmed, O.S. Klemetsdal, X. Raynaud, O. Møyner, H.M. Nilsen, SINTEF
203925 Reservoir Description & Dynamics Semi-elimination Methodology For Simulating High Flow Features In A Reservoir Y. Yang, A. Samii, Z. Zhao, ExxonMobil; G. Ren, The University of Tulsa
203972 Reservoir Description & Dynamics High-Order Adaptive Scheme for Reactive Transport in Heterogeneous Porous Media R.H. Deucher, H.A. Tchelepi, Stanford University
Alternate 203998 Reservoir Description & Dynamics The Mixed Virtual Element Method for Grids with Curved Interfaces in Single-Phase Flow Problems F. Dassi, Università degli studi Milano Bicocca; A. Fumagalli, D. Losapio, Politecnico di Milano; S. Scialo', Politecnico di Torino; A. Scotti, Politecnico di Milano; G. Vacca, Università degli studi Milano Bicocca
Alternate 203908 Reservoir Description & Dynamics Acute PEBI Grid Generation for Reservoir Geometries S. Manzoor, Saudi Aramco; M.G. Edwards, Swansea University; A.H. Dogru, Saudi Aramco
Alternate An Improved Diffusion Model for Fractured Tight Reservoirs Y. Tian, Colorado School of Mines
00:00 - 00:00
10  High-Performance Computing: Algorithms and Enterprise Software
92-day Session
Session Chairpersons Kyrre Bratvedt - Schlumberger, Jianxin Lu - Halliburton
In this session we will discuss recent advances using modern parallel computing architectures such as GPUs to solve reservoir simulation algorithms. Issues regarding programming of the GPUs, and potential new algorithms needed for this hardware, will also be reviewed. This session aims to cover a variety of different GPU applications from subsurface to surface.
Time Paper # Presentation
203936 Reservoir Description & Dynamics Adding GPU Acceleration to an Industrial CPU-Based Simulator, Development Strategy and Results H. Cao, R. Zaydullin, T.Y. Liao, N. Gohaud, E. Obi, G. Darche, Total
203918 Reservoir Description & Dynamics A Massively Parallel Reservoir Simulator on the GPU Architecture U. Middya, A.M. Manea, M. Hubail, Saudi Aramco; T. Ferguson, Aramco Americas; T.J. Byer, A.H. Dogru, Saudi Aramco
203929 Reservoir Description & Dynamics A GPU-Based, Industrial-Grade Compositional Reservoir Simulator K. Esler, R. Gandham, L. Patacchini, T. Garipov, Stone Ridge Technology; P. Panfili, F. Caresani, A. Pizzolato, A. Cominelli, Eni E&P
204000 Reservoir Description & Dynamics A GPU-Based Integrated Simulation Framework for Modelling of Complex Subsurface Applications M. Khait, D.V. Voskov, Delft University of Technology
203947 Reservoir Description & Dynamics Distributed Gpu Based Matrix Power Kernel For Geoscience Applications A. Anciaux-Sedrakian, T. Guignon, IFP Energies Nouvelles
204011 Reservoir Description & Dynamics A GPU-Accelerated Linear Solver for Massively Parallel Underground Simulations G. Isotton, C. Janna, N. Spiezia, O. Tosatto, m3e srl; M. Bernaschi, CNR; A. Cominelli, S. Mantica, S. Monaco, G. Scrofani, Eni
Alternate 203932 Reservoir Description & Dynamics GEOSX: A Multiphysics, Multilevel Simulator Designed for Exascale Computing H. Gross, Total; A. Mazuyer, Stanford University
00:00 - 00:00
11  Modeling of Complex and Coupled Systems - Part III
92-day Session
Session Chairpersons Adolfo Rodriguez - OpenSim Technology, Ying Guo - NORCE Norwegian Research Centre AS
This session is a good representation of the complex physics required in the modeling of the current oil and gas fields being produced around the globe. Papers range from proxy models for phase behavior to the modeling of hydraulic fracturing, proppant transport and geomechanics, among other interesting and highly relevant subjects.
Time Paper # Presentation
203927 Reservoir Description & Dynamics Numerical Simulation of Proppant Transport in Hydraulically Fractured Reservoirs S.E. Gorucu, V.K. Shrivastava, L.X. Nghiem, Computer Modelling Group Ltd.
203914 Reservoir Description & Dynamics A Proxy Peng-Robinson EOS for Efficient Modeling of Phase Behavior M. Zhao, R. Okuno, The University of Texas At Austin
203903 Reservoir Description & Dynamics A Collocated Finite Volume Scheme for High-Performance Simulation of Induced Seismicity in Geo-Energy Applications A. Novikov, D.V. Voskov, M. Khait, H. Hajibeygi, J. Jansen, Delft University of Technology
203985 Reservoir Description & Dynamics Modeling Acid Fracturing Treatments with Multi-Stage Alternating Injection of Pad and Acid Fluids R. Dong, M.F. Wheeler, The University of Texas At Austin; H. Su, China University of Petroleum (Beijing); K. Ma, CNOOC Research Institute Co., Ltd.
203986 Management & Information Efficient Drill Sequence Optimization Using a Heuristic Priority Function Z. Wang, J. He, S. Tanaka, X. Wen, Chevron Technical Center (CTC)
203966 Reservoir Description & Dynamics Simplified Initialization of Reservoir Simulation Models with Continuously Varying Tilted Contacts and Complex Fluid Distributions D. Kachuma, J. Hild, I. Belushko, Total
Alternate 204006 Reservoir Description & Dynamics Automatic Calibration of Geomechanical Models from Sparse Data for Estimating Stress in Deep Geological Formations O.A. Andersen, SINTEF Digital; S. Raziperchikolaee, M. Kelley, V. Smith, Battelle
Alternate 203910 Reservoir Description & Dynamics The Modeling for Coupled Elastoplastic Geomechanics and Two-Phase Flow with Capillary Hysteresis in Porous Media H. Yoon, Korea Institute of Geoscience and Mineral Resources; J. Kim, Texas A&M University
00:00 - 00:00
12  Data Assimilation, Optimization, Uncertainty Quantification, and Software Elements
92-day Session
Session Chairpersons Alberto Cominelli - Eni E&P, Dongxiao Zhang - Peking University
In this session we will discuss ideas on efficient approximation of posterior probability distribution function using Gaussian mixture, streamline technology and Pareto frontier computation (using parallel derivative-free methods). We will also discuss model based optimization with application to a real field case and software components for reservoir simulation development/prototyping.
Time Paper # Presentation
204008 Reservoir Description & Dynamics Strategies to Enhance the Performance of Gaussian Mixture Model Fitting for Uncertainty Quantification by Conditioning to Production Data G. Gao, J.C. Vink, F.E. Saaf, T. Wells, Shell
203995 Reservoir Description & Dynamics Injection and Production Optimization for Tengiz Platform Sour Gas Injection by Reactive and Proactive Conformance Completions Control S. Tanaka, M. Rousset, Chevron ETC; Y. Ghomian, A. Azhigaliyeva, C. Bopiyev, I. Yechshanov, TengizChevroil; K. Dehghani, Chevron ETC
203971 Reservoir Description & Dynamics An Efficient Bi-Objective Optimization Workflow Using the Distributed Quasi-Newton Method and its Application to Field Development Optimization Y. Wang, F.O. Alpak, G. Gao, C. Chen, J.C. Vink, T.J. Wells, F.E. Saaf, Shell
203933 Reservoir Description & Dynamics Cache-Aware and Roofline-Ideal Automatic Differentiation Y. Jing, R. Younis, University of Tulsa
203993 Reservoir Description & Dynamics Streamline Tracing and Applications in Dual Porosity Dual Permeability Models T. Onishi, H. Chen, Texas A&M University; J. Xie, S. Tanaka, D. Kam, Z. Wang, X. Wen, Chevron Corporation; A. Datta-gupta, Texas A&M University
203953 Reservoir Description & Dynamics Jfts+h: A Julia-based Parallel Simulator For The Description Of The Coupled Flow, Thermal And Geochemical Processes In Hydrate-bearing Geologic Media K. Anno, G.J. Moridis, T.A. Blasingame, Texas A&M University
Alternate 203968 Reservoir Description & Dynamics Fast and Robust Scheme for Uncertainty Quantification in Naturally Fractured Reservoirs S. de Hoop, D.V. Voskov, Delft University of Technology
Alternate 203919 Reservoir Description & Dynamics Caveats and Pitfalls of Production Forecast Uncertainty Analysis Using Design of Experiments B. Li, H.A. Phale, Y. Zhang, T.J. Tokar, X. Wen, Chevron
Alternate 203997 Reservoir Description & Dynamics Deep Learning for Latent Space Data Assimilation (LSDA) in Subsurface Flow Systems S. Mohd Razak, A. Jahandideh, U.B. Djuraev, B. Jafarpour, University of Southern California
00:00 - 00:00
C01  Recorded Session: Celebrating the 25th Edition of the Reservoir Simulation Conference
92-day Session
Moderator(s) Rami Younis - University of Tulsa
Speaker(s) Mary F. Wheeler - The University of Texas at Austin, Khalid Aziz - Stanford University, Ali H. Dogru - Saudi Aramco, Larry C. Young - Tilden Technologies - Retired
Join us as we celebrate the 25th edition of this unique meeting that has taken place, biennially, since 1968. Over the years, this event has seen generations of innovators, scholars, and professionals come together to tackle some of the most pressing computational technical challenges facing the Oil and Gas industry. It has also served to inspire future innovation while cultivating a strong sense of culture, community, and stewardship. We aim to celebrate this milestone by reflecting on our past to empower future generations of industry leaders.
00:00 - 00:00
PL01  Poster Papers
92-day Session
Authors, unassigned to a specific session, will present their recorded presentations.
Time Paper # Presentation
203922 Reservoir Description & Dynamics Local Equilibrium Mechanistic Simulation of CO2-foam Flooding M.M. Almajid, Z.A. Al-Yousef, O.S. Swaie, Saudi Aramco PE&D
203967 Reservoir Description & Dynamics Coupled Simulation of Flow and Geomechanics in Fractured Reservoirs Using an Integrally Embedded Discrete Fracture Model D. Wu, Y. Di, Peking University; Y. Wu, Colorado School of Mines
203911 Reservoir Description & Dynamics Theoretical and Numerical Investigation of Supersonic Multiphase Gas Injection D. Zhu, RGL Reservoir Management Inc.; M. Sivagnanam, I. Gates, University of Calgary
203906 Reservoir Description & Dynamics A Phase-Field Based Approach for Modeling the Cementation and Shear Slip of Fracture Networks M. Jammoul, M.F. Wheeler, The University of Texas at Austin
203976 Reservoir Description & Dynamics Bayesian Long-short Term Memory for History Matching in Reservoir Simulations R.K. Santoso, X. He, KAUST; M.M. Alsinan, H.T. Kwak, Saudi Aramco PE&D; H. Hoteit, KAUST
203921 Completions Coupled Poroelastic Modeling to Characterize the 4.18-Magnitude Earthquake due to Hydraulic Fracturing in the East Shale Basin of Western Canada G. Hui, S. Chen, University of Calgary; F. Gu, Research Inst Petr Expl & Dev
203957 Reservoir Description & Dynamics Higher Resolution Hybrid-upwind Spectral Finite-volume Methods, for Flow in Porous and Fractured Media on Unstructured Grids Y. Xie, Henan University; M.G. Edwards, Swansea University
203988 Reservoir Description & Dynamics EDFM-based Multi-continuum Shale Gas Simulation with Low Velocity Non-darcy Water Flow Effect Y. Jiang, J.E. Killough, Texas A&M University; L. Li, Southwest Petroleum University; X. Cui, J. Tang, Texas A&M University
203941 Reservoir Description & Dynamics Bridging the Gap between Material Balance and Reservoir Simulation for History Matching and Probabilistic Forecasting Using Machine Learning N.H. Goodwin, Essence Analytics Ltd
203913 Reservoir Description & Dynamics Optimization of Water-alternating-CO2 Injection Field Operations Using a Machine-learning-assisted Workflow J. You, Chongqing University of Science and Technology; W. Ampomah, New Mexico Inst-Mining & Tech; Q. Sun, Petroleum Recovery Research Center
204003 Reservoir Description & Dynamics Radio Frequency Heating Simulation Using a Reservoir Simulator Coupled with Electromagnetic Solver for Soil Remediation X. Guan, G. Li, H. Wang, S.B. Shang, T.J. Tokar, K. McVey, C. Ovalles, Chevron Corporation; D. Wu, J. Chen, University of Houston
203901 Reservoir Description & Dynamics Constructing Dual-porosity Models from High-resolution Discrete-fracture Models Using Deep Neural Networks X. He, R.K. Santoso, KAUST; M.M. Alsinan, H.T. Kwak, Saudi Aramco PE&D; H. Hoteit, KAUST
203981 Reservoir Description & Dynamics A Fast Screening Tool for Assessing the Impact of Poro-mechanics on Fractured Reservoirs Using Dual-porosity Flow Diagnostics L. Gutierrez-Sosa, S. Geiger, F. Doster, Heriot-Watt University
203935 Reservoir Description & Dynamics A Novel Method To Speedup Calibrating Horizontal Well Performance Model With Multi-stage Fracturing Treatments And Its Applications In Delaware Basin H. Xiong, University Lands; S. Yoon, Y. Jiang, Texas A&M University
Dimensionless Solutions for the Time-dependent and Rate-dependent Productivity Index of Wells in Deformable Reservoirs A. Mehrabian, Pennsylvania State University