Agenda

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	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	Coupling-Strength Criteria for Sequential Implicit Formulations J. Franc, Stanford University; O. Møyner, SINTEF Digital / NTNU; H.A. Tchelepi, Stanford University
Alternate	203961	Grid Quality Measures for PEBI Grids I.D. Mishev, R. Rin, ExxonMobil
Alternate	203938	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	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	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	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	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	Development of a Thermal Stability Method for Phase Appearance and Disappearance Handling in Thermal Compositional Simulators M. Heidari, T.W. Stone, Schlumberger
	203923	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	Unified Reservoir and Seismic Simulation with Explicit Representation of Fractures and Faults Z. Han, G. Ren, R. Younis, University of Tulsa
Alternate	203955	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	A Massively Parallel Restriction-smoothed Basis Multiscale Solver on Multi-core and GPU Architectures A.M. Manea, Saudi Aramco
	203996	Aspects of Multiscale Flow Simulation with Potential to Enhance Reservoir Engineering Practice S.K. Khataniar, D.D. Dias, R. Xu, Schlumberger
	203970	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	Efficient Localized Nonlinear Solution Strategies For Unconventional-reservoir Simulation With Complex Fractures J. Jiang, Chevron Energy Technology Company
	204009	A Multi-level Non-linear Solver for Complex Well Modelling Z. Chen, T.M. Al-Shaalan, A.H. Dogru, Saudi Aramco
	203977	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	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	Physics Informed Deep Learning for Flow and Transport in Porous Media C. Fraces, H.A. Tchelepi, Stanford University
	203950	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	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	A Time-Continuation Solver for Hydraulic Fracture Propagation G. Ren, R. Younis, The University of Tulsa
	203983	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	Upscaling of Realistic Discrete Fracture Simulations Using Machine Learning N. Andrianov, Geological Survey of Denmark and Greenland (GEUS)
	203990	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	Four Phase Relative Permeability and Capillary Pressure Framework for Surfactant EOR Simulation B. Samson, M. Shaykhattarov, Schlumberger
	203956	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	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	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	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	_{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	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	Comparison of Various Discretization Schemes for Simulation of Large Field Case Reservoirs Using Unstructured Grids P. Samier, M. Raguenel, G. Darche, Total SE
	203958	A Cut-Cell Polyhedral Finite Element Model for Coupled Fluid Flow and Mechanics in Fractured Reservoirs I. Shovkun, H.A. Tchelepi, Stanford University
	203902	A Fast Gridding Method for Capturing Geological Complexity and Uncertainty Y. Xu, P. Srivastava, X. Ma, K. Kaul, H. Huang, ExxonMobil
	203974	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	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	High-Order Adaptive Scheme for Reactive Transport in Heterogeneous Porous Media R.H. Deucher, H.A. Tchelepi, Stanford University
Alternate	203998	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	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	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	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	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	A GPU-Based Integrated Simulation Framework for Modelling of Complex Subsurface Applications M. Khait, D.V. Voskov, Delft University of Technology
	203947	Distributed Gpu Based Matrix Power Kernel For Geoscience Applications A. Anciaux-Sedrakian, T. Guignon, IFP Energies Nouvelles
	204011	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	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	Numerical Simulation of Proppant Transport in Hydraulically Fractured Reservoirs S.E. Gorucu, V.K. Shrivastava, L.X. Nghiem, Computer Modelling Group Ltd.
	203914	A Proxy Peng-Robinson EOS for Efficient Modeling of Phase Behavior M. Zhao, R. Okuno, The University of Texas At Austin
	203903	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	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	Efficient Drill Sequence Optimization Using a Heuristic Priority Function Z. Wang, J. He, S. Tanaka, X. Wen, Chevron Technical Center (CTC)
	203966	Simplified Initialization of Reservoir Simulation Models with Continuously Varying Tilted Contacts and Complex Fluid Distributions D. Kachuma, J. Hild, I. Belushko, Total
Alternate	204006	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	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	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	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	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	Cache-Aware and Roofline-Ideal Automatic Differentiation Y. Jing, R. Younis, University of Tulsa
	203993	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	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	Fast and Robust Scheme for Uncertainty Quantification in Naturally Fractured Reservoirs S. de Hoop, D.V. Voskov, Delft University of Technology
Alternate	203919	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	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	Local Equilibrium Mechanistic Simulation of CO₂-foam Flooding M.M. Almajid, Z.A. Al-Yousef, O.S. Swaie, Saudi Aramco PE&D
	203967	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	Theoretical and Numerical Investigation of Supersonic Multiphase Gas Injection D. Zhu, RGL Reservoir Management Inc.; M. Sivagnanam, I. Gates, University of Calgary
	203906	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	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	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	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	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	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	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	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	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	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	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

Tuesday, October 26