Agenda - SPE Reservoir Simulation Conference

Monday, March 27

14:00 - 17:00

Registration Convention Center Lobby

Tuesday, March 28

07:00 - 17:00

Registration and Coffee Convention Center Lobby

08:00 - 10:00

01 Advances in Algorithms and Implementations for High-Performance Computing Grand Ballroom A

Session Chairpersons Abdulrahman Mohammad Manea - Saudi Aramco PE&D, Rami Younis - University of Tulsa

Novel algorithms and careful adaptations of existing ones are necessary to exploit the full potential of evolving high-performance computing (HPC) architectures. This session combines a range of innovations in implementation methods, spanning generalized approaches for heterogeneous HPC architectures to specialized implementations for GPU architectures. Additionally, the session presents algorithmic advancements spanning compositional flash computations to numerical solution methods.

Time	Paper #	Presentation
0800-0830	212205	Implementing a Hardware Agnostic Commercial Black-oil Reservoir Simulator M. Szyndel, C. Lemon, D.d. Dias, E. Dodds, E. Khramchenkov, S. Rinco, S. Sheth, M. Tene, Schlumberger; C. Han, X. Shi, C. Wolfsteiner, Chevron; H. Cao, T. Liao, M. Sekachev, R. Zaydullin, TotalEnergies E&P Research & Technology USA LLC
0830-0900	212248	An Adaptive Coloring Scheme for Graphics Processing Unit Preconditioners C. Aselmann-Lemon, SLB; H. Cao, TotalEnergies; M.D. Szyndel, E. Khramchenkov, SLB
0900-0930	212198	A GPU-accelerated Simulator for Challenging Extreme-Scale Geomechanical Models M. Frigo, G. Isotton, C. Janna, N. Spiezia, M3E S.r.l.; M. Ferronato, A. Franceschini, University of Padua; A. Filippini, G. Scrofani, ENI S.P.A.
0930-1000	212183	Graphics Processing Unit Performance Scalability Study on a Commercial Black-oil Reservoir Simulator M. Tene, SLB; M. Sekachev, TotalEnergies E&P Research & Technology USA LLC; D. de Brito Dias, M.D. Szyndel, SLB

08:00 - 10:00

02 Model-Based and Data-Driven Optimization Grand Ballroom B

Session Chairpersons Eduardo Gildin - Texas A&M University, Mary Fanett Wheeler - The University of Texas At Austin

Forecasting hydrocarbons production is paramount for steering business strategies and decisions to maximize economic gains but, at the same time, minimize risks associated with environmental and socio-economic issues that may arise during the life-cycle of a reservoir. Numerical optimization has been used to develop decision making strategies associated with unknown geological media, geopolitical and economical variability experienced during much longer periods of time. This session showcases novel algorithms using classical optimization methods and newly developed artificial intelligence frameworks for production optimization and efficient model calibration under uncertain environments.

Time	Paper #	Presentation
0800-0830	212178	Nonlinearly Constrained Life-Cycle Production Optimization Using Sequential Quadratic Programming (SQP) with Stochastic Simplex Approximated Gradients (StoSAG) Q.M. Nguyen, The University of Tulsa; M. Onur, University of Tulsa; F.O. Alpak, Shell International E&P Co.
0830-0900	212237	Practical Closed-Loop Reservoir Management Using Deep Reinforcement Learning Y. Nasir, L.J. Durlofsky, Stanford University
0900-0930	212207	Efficient Adaptation and Calibration of Adjoint-based Reduced-order Coarse-grid Network Models S. Krogstad, O. Klemetsdal, K. Lie, SINTEF
0930-1000	212188	A Fast History Matching and Optimization Tool and its Application to a Full Field with More Than 1000 Wells G. Ren, Z. Wang, Y. Lin, T. Onishi, X. Guan, X. Wen, Chevron
Alternate	212212	A Quasi-newton Method For Well Location Optimization Under Uncertainty E. Eltahan, The University of Texas at Austin; F.O. Alpak, Shell International E&P Co.; K. Sepehrnoori, The University of Texas At Austin

10:00 - 10:30

Coffee Break Ballroom Foyer

10:30 - 12:15

P01 Opening Plenary Session: What is the Future of Reservoir Simulation and Modeling in the Evolving Energy Landscape? Grand Ballroom B

Moderator(s) Sebastien Matringe - Hess Corporation

Speaker(s) James M Hacker - ExxonMobil, Jack Hunter Norbeck - Stanford University, Moon Chaudhri - Chevron, Shashi Menon - SLB, Ola Terjeson Miljeteig - Equinor

The energy industry is undergoing a transition, where the ability to provide reliable resources for the world economy combines with the target of achieving net zero emissions within few decades. The key objective of oil & gas asset developments, from unconventional to enhanced oil recovery, will be to create the capability to minimize greenhouse gas emissions. At the same time, CO2 sequestration will become a new critical activity for many, if not most, of the oil and gas companies, and many of them are already largely investing significant resources in pilot and demonstration projects. On the other hand, technologies matured in the oil & gas industry may be effectively used to scale up geothermal energy production and storage. The panel discussion will address the expected transformation of our industry with the ambition of highlighting the demand that reservoir simulation and computational modeling science should meet to provide tools, solutions, and competencies suitable for the ongoing energy industry evolution.

12:15 - 13:30

PL01 Tuesday Poster Luncheon Grand Ballroom C

Poster authors will present, Tuesday and Wednesday, at 12:45pm during the luncheon.

Time	Paper #	Presentation
1245-1330	212166	A Mineral-Composition Dependent Fracture Numerical Model of Thermally Treated Shale Gas Reservoirs D. Ji, Z. Lei, J. Liu, X. Han, Research Institute of Petroleum Exploration and Development, PetroChina; C. Ge, Piesat Information Technology Co., Ltd.; Z. Li, China University of Geosciences (Beijing); Z. Chen, University of Calgary
1245-1330	212211	Use of Clustering Techniques for Automated Lumping of Components in Compositional Models M.A. Cancelliere, J. Saint Antonin, Saudi Aramco
1245-1330	212185	Parameter Inversion in Geothermal Reservoir Using Markov Chain Monte Carlo and Deep Learning Z. Zhang, X. He, Y. Li, King Abdullah University of Science and Technology; M.M. Alsinan, H.T. Kwak, Saudi Aramco; H. Hoteit, King Abdullah University of Science and Technology
1245-1330	212165	High Performance Computing and Speedup Techniques in Geochemical Modeling of Matrix Acidizing W. Wei, A. Sanaei, F. Bordeaux Rego, K. Sepehrnoori, The University of Texas At Austin
1245-1330	212163	Troll Reservoir Simulation Development, From Well Long-Term Tests to Full FMU Simulations E. Reiso, K. Bjørke, T. Ek, R. Nybø, J. Rivenæs, Equinor ASA
1245-1330	212236	New Fast Simulation Of 4d (x, Y, Z, T) Co2 Eor By Fourier Neural Operator Based Deep Learning Method J. Liu, H. Jing, H. Pan, China University of Geosciences (Wuhan)
1245-1330	212212	A Quasi-newton Method For Well Location Optimization Under Uncertainty E. Eltahan, The University of Texas at Austin; F.O. Alpak, Shell International E&P Co.; K. Sepehrnoori, The University of Texas At Austin
1245-1330	212164	The Hybrid-dimensional Darcy's Law: A Non-conforming Reinterpreted Discrete Fracture Model (RDFM) for the Compressible Miscible Displacement and Multicomponent Gas Flow in Fractured Media Z. Xu, Brown University; Y. Yang, Michigan Technological University
1245-1330	212174	Formation Fracturing by High-energy Impulsive Mechanical Loading W. Cao, R. Younis, University of Tulsa
1245-1330	212253	Water Injection Optimization to Prevent Reservoir Souring B. Izgec, Hess Corporation
1245-1330	212189	Modeling Fault Reactivation Triggered by Fluid Injection D. Tran, V.K. Shrivastava, L.X. Nghiem, Computer Modelling Group Ltd.
1245-1330	212252	Matrix Formulation for Simultaneous Calculations of Pressure and Temperature in Wells and Pipelines I.N. Alves, R. Islam, Texas A&M University; J. de Sousa Segundo, CMG – Computer Modelling Group
1245-1330	212184	Implementation of Adaptive Localization for Enhancing Ensemble-Based History Matching in Hydrocarbon Reservoir Management M.A. Pernalete, O. Lia, T. Popa, R.G. Hanea, Equinor ASA
1245-1330	212167	Deep Learning-based Multiresolution Parameterization for Spatially Adaptive Model Updating M. Valiyev, S.M. Razak, B. Jafarpour, University of Southern California

13:30 - 15:30

03 Discretization Methods for Flow and Geomechanics Grand Ballroom A

Session Chairpersons Yu-Shu Wu - Colorado School of Mines, Mohammad Karimi-fard - Stanford University

This session focuses on discretization techniques for flow and transport as well as thermo-poroelasticity problems. In particular, different types of finite-volume and finite-element approaches will be discussed.

Time	Paper #	Presentation
1330-1400	212213	Consistent Discretization Methods for Reservoir Simulation on Cut-cell Grids F.O. Alpak, Shell International E&P Co.; M. Jammoul, M.F. Wheeler, The University of Texas at Austin
1400-1430	212238	An Enriched Galerkin Discretization Scheme for Two Phase Flow on Non-orthogonal Grids M. Jammoul, The University of Texas at Austin; F.O. Alpak, Shell International E&P Co.; M.F. Wheeler, The University of Texas at Austin
1430-1500	212206	Pressure Jump Stabilization for Compositional Poromechanics on Unstructured Meshes R.M. Aronson, Stanford University; F.P. Hamon, TotalEnergies; N. Castelletto, J.A. White, Lawrence Livermore National Laboratory; H.A. Tchelepi, Stanford University
1500-1530	212240	Using Enriched Galerkin as an Energy and Mass Conservative Scheme for Simulating Thermoporoelasticity Problems A.G. Almetwally, University of Texas at Austin; R. Podgorney, Idaho National Lab; M.F. Wheeler, The University of Texas At Austin
Alternate	212164	The Hybrid-dimensional Darcy's Law: A Non-conforming Reinterpreted Discrete Fracture Model (RDFM) for the Compressible Miscible Displacement and Multicomponent Gas Flow in Fractured Media Z. Xu, Brown University; Y. Yang, Michigan Technological University

13:30 - 15:30

04 Physics Informed Neural Network Grand Ballroom B

Session Chairpersons Jincong He - Chevron Corporation, Eduardo Gildin - Texas A&M University

Neural networks have emerged as powerful proxies for modeling complex input-output relationships for reservoir management problems. Recent works on infusing physical principles into the training process have shown potentials to further improve the performance of neural networks. This session showcases the application of these physics-informed neural networks in various problems including production forecast, uncertainty quantification, and phase behavior modeling.

Time	Paper #	Presentation
1330-1400	212202	A Physics-informed Neural Network for Temporospatial Prediction of Hydraulic-geomechanical Processes C. Zhang, Colorado School of Mines; S. Wang, Chevron; Y. Wu, Colorado School of Mines
1400-1430	212201	Reservoir Connectivity Identification and Robust Production Forecasting Using Physics Informed Machine Learning M. Nagao, A. Datta-Gupta, Texas A&M University; T. Onishi, Chevron Corporation; S. Sankaran, Xecta Digital Labs
1430-1500	212255	Uncertainty Quantification For Transport In Porous Media Using Parameterized Physics Informed Neural Networks C.G. Fraces, H.A. Tchelepi, Stanford University
1500-1530	212187	A Data-driven Deep Learning Framework for Microbial Reaction Prediction for Hydrogen Underground Storage K. Katterbauer, A. Al Shehri, A. Qasim, A.A. Yousef, Saudi Aramco

15:30 - 16:00

Coffee Break Ballroom Foyer

16:00 - 18:00

05 Fractures, Faults and Induced Seismicity Grand Ballroom A

Session Chairpersons Joshua Alexander White - Lawrence Livermore National Laboratory, Adolfo Antonio Rodriguez - OpenSim Technology

Understanding fluid flow and geomechanical behavior in fractured and faulted formations is critical to safe and efficient reservoir operations. This session will explore recent advances in multi-physics modeling of these complex systems.

Time	Paper #	Presentation
1600-1630	212171	An Integrated Modeling Framework for Simulating Complex Transient Flow in Fractured Reservoirs with 3D High-quality Grids H. Liu, X. Liao, China University of Petroleum (Beijing); K. Lie, O.S. Klemetsdal, K. Bao, SINTEF; X. Zhao, China University of Petroleum (Beijing); A. Johansson, X. Raynaud, SINTEF
1630-1700	212170	Resolving Ambiguity in 2008-2015 Irving-Dallas Seismicity by Coupling Geomechanical Models at Fort Worth Basin and Barnett Reservoir Scales A.A. Bubshait, B. Jha, University of Southern California
1700-1730	212247	Coupled Geomechanics and Fluid Flow Modeling for Petroleum Reservoirs Accounting for Multi-Scale Fractures D. Wu, SINOPEC Petroleum Exploration and Production Research Institute; Y. Di, Peking University; Z. Kang, SINOPEC Petroleum Exploration and Production Research Institute; Y. Wu, Colorado School of Mines
1730-1800	212234	Role of Inelasticity in Production-induced Subsidence and Fault Reactivation in the Groningen Field X. Zhao, B. Jha, University of Southern California
Alternate	212174	Formation Fracturing by High-energy Impulsive Mechanical Loading W. Cao, R. Younis, University of Tulsa

16:00 - 18:00

06 Data Analytics and Machine Learning Grand Ballroom B

Session Chairpersons Hector Manuel Klie - DeepCast, Eduardo Gildin - Texas A&M University

Data Analytics and Machine Learning, as a subject, has driven a paradigm shift and significant transformations of the oil and gas industry in recent years. More efficient algorithms, novel reduced order proxy models, have been deployed to gain efficiency, improve production forecasts, and maximize recoveries. These new efficient algorithms alleviate computational burden of conventional reservoir simulations by running more scalable and faster models while preserving accuracy. This session explores new approaches to physic-based and data driven models developed to aim at reducing computational costs, improving accuracy of prediction while preserving physical constraints, conservation laws ad constitutive relations with data.

Time	Paper #	Presentation
1600-1630	212193	A Novel Machine-Learning Assisted Phase-Equilibrium Calculation Model for Liquid-Rich Shale Reservoirs F. Chen, Texas A&M University; S. Luo, S. Wang, Chevron; H. Nasrabadi, Texas A&M University
1630-1700	212217	Application of Deep Neural Networks to the Operator Space of Nonlinear Partial Differential Equations for Physics-Based Proxy Modelling G. Hadjisotiriou, K. Mansour Pour, D.V. Voskov, Delft University of Technology
1700-1730	212204	Guided Deep Learning Manifold Linearization of Porous Media Flow Equations M.J. Dall'Aqua, Texas A&M University; E.J. Coutinho, Petrobras; E. Gildin, Texas A&M University; Z. Guo, H. Zalavadia, S. Sankaran, Xecta Company
1730-1800	212230	Data-Space Inversion for Rapid Physics-Informed Direct Forecasting in Unconventional Reservoirs M. Hui, K. Wang, J. He, S. Tanaka, Chevron Technical Center

18:00 - 19:00

Networking Reception Ballroom Foyer

Wednesday, March 29

07:30 - 17:00

Registration and Coffee Convention Center Lobby

08:30 - 12:00

07 Multiscale Methods, Mesh Adaptivity and Upscaling Grand Ballroom A

Session Chairpersons Vegard Kippe - Equinor ASA, Knut-Andreas Lie - SINTEF

This session explores the most recent advances in the commercial implementation of multiscale methods, which have been widely researched over the past two decades. You will also learn about new methods for (dynamic) mesh adaptivity and for upscaling highly detailed representations of reservoir heterogeneity.

Time	Paper #	Presentation
0830-0900	212229	Strongly Coupled Prolongation in Multiscale Pressure Solver for High-Contrast Heterogeneous Reservoir Simulation S. Watanabe, J.R. Natvig, SLB; P. Tomin, Chevron
0900-0930	212244	Bridging Computational Stratigraphy and Reservoir Simulation for Geologically Realistic High-resolution Reservoir Modeling B. Li, L. Li, X. Wen, T. Sun, Chevron Technical Center
0930-1000	212239	Dynamic Mesh Adaptivity and Novel Stopping Criterion Guided by a Posteriori Error Estimates for Coupled Geomechanics Using Mixed Finite Element Method for Flow M.F. Wheeler, The University of Texas at Austin; V. Girault, Sorbonne Universit ́e; H. Li, M. Jammoul, The University of Texas at Austin
1030-1100	212194	An Adaptive Grid Refinement Method for Flow-based Embedded Discrete Fracture Models J. Li, Xi'an Shiyou University; H. Tang, Southwest Petroleum University; Y. Zhang, China Natl. Petroleum Corp.; X. Li, Institute of Petroleum Exploration and Development, CNPC
1100-1130	212231	Multiscale Reservoir Simulation of High-Resolution Models J.R. Natvig, D.D. Dias, F. Bratvedt, S. Watanabe, Z. Li, A. Kozlova, SLB; P. Tomin, J. Jiang, X. Shi, Chevron
1130-1200	212215	Two-Step Upscaling of Sub-Seismic Geo-Heterogeneity with Flow-Rate- and Direction Dependent Saturation Functions A.A. Youssef, Q. Shao, S.K. Matthai, The University of Melbourne

08:30 - 12:00

08 Integrated Reservoir Modeling and Case Studies Grand Ballroom B

Session Chairpersons Santosh Kumar Verma - ExxonMobil Upstream Research Co., Kyrre Bratvedt - SLB

Reservoir simulation often needs to be tailored to specific applications to better represent the underlying physical processes. Papers in this session provide case studies of integrating reservoir simulation with wellbore models, CO2 flooding, gridding methods, as well as insight into the development of complex simulation systems.

Time	Paper #	Presentation
0830-0900	212200	Accurate Production Forecast and Productivity Decline Analysis Using Coupled Full-field and Near-wellbore Poromechanics Modeling Y. Li, B. Wang, J. Wang, K.S. Zaki, R. Wu, B. Barnum, M. Rijken, B. Guyaguler, Chevron
0900-0930	212246	High Performance Integrated Asset Modeling: A Giant Gas Field Case Study A. Rosa, Eni; K. Wiegand, K. Mukundakrishnan, Stone Ridge Technology; A. Pizzolato, P. Panfili, A. Cominelli, S. Picone, R. Ruffino, Eni; L. Patacchini, Stone Ridge Technology
0930-1000	212224	Integrating Geomechanics Studies To Shale And Tight Phased Development - Application To Delaware Basin O. Khebzegga, Y. Chen, A. Rey, B. Wang, Chevron
1030-1100	212226	Integrating Pipe Fractional Flow Theory with Fully Compositional Wellbore Models S. Zheng, The University of Texas at Austin (Now with Aramco Americas); M.M. Sharma, The University of Texas at Austin
1100-1130	212259	Use of "Look-Ahead" Reservoir Models to Optimize Reservoir Performance P.I. Crumpton, M. Cancelliere, Saudi Aramco PE&D
1130-1200	212173	Successful Application of an Ensemble Modeling Workflow for a Deepwater Field in US Gulf of Mexico V. Peraser, E. Shen, W. Dugat, M. Sweatman, G. Cedillo, BP America Inc
Alternate	212253	Water Injection Optimization to Prevent Reservoir Souring B. Izgec, Hess Corporation
Alternate	212189	Modeling Fault Reactivation Triggered by Fluid Injection D. Tran, V.K. Shrivastava, L.X. Nghiem, Computer Modelling Group Ltd.

10:00 - 10:30

Coffee Break Ballroom Foyer

12:00 - 13:30

PL02 Wednesday Poster Luncheon Grand Ballroom C

Poster authors will present, Tuesday and Wednesday, at 12:45pm during the luncheon.

Time	Paper #	Presentation
1245-1330	212166	A Mineral-Composition Dependent Fracture Numerical Model of Thermally Treated Shale Gas Reservoirs D. Ji, Z. Lei, J. Liu, X. Han, Research Institute of Petroleum Exploration and Development, PetroChina; C. Ge, Piesat Information Technology Co., Ltd.; Z. Li, China University of Geosciences (Beijing); Z. Chen, University of Calgary
1245-1330	212211	Use of Clustering Techniques for Automated Lumping of Components in Compositional Models M.A. Cancelliere, J. Saint Antonin, Saudi Aramco
1245-1330	212185	Parameter Inversion in Geothermal Reservoir Using Markov Chain Monte Carlo and Deep Learning Z. Zhang, X. He, Y. Li, King Abdullah University of Science and Technology; M.M. Alsinan, H.T. Kwak, Saudi Aramco; H. Hoteit, King Abdullah University of Science and Technology
1245-1330	212165	High Performance Computing and Speedup Techniques in Geochemical Modeling of Matrix Acidizing W. Wei, A. Sanaei, F. Bordeaux Rego, K. Sepehrnoori, The University of Texas At Austin
1245-1330	212163	Troll Reservoir Simulation Development, From Well Long-Term Tests to Full FMU Simulations E. Reiso, K. Bjørke, T. Ek, R. Nybø, J. Rivenæs, Equinor ASA
1245-1330	212236	New Fast Simulation Of 4d (x, Y, Z, T) Co2 Eor By Fourier Neural Operator Based Deep Learning Method J. Liu, H. Jing, H. Pan, China University of Geosciences (Wuhan)
1245-1330	212212	A Quasi-newton Method For Well Location Optimization Under Uncertainty E. Eltahan, The University of Texas at Austin; F.O. Alpak, Shell International E&P Co.; K. Sepehrnoori, The University of Texas At Austin
1245-1330	212174	Formation Fracturing by High-energy Impulsive Mechanical Loading W. Cao, R. Younis, University of Tulsa
1245-1330	212253	Water Injection Optimization to Prevent Reservoir Souring B. Izgec, Hess Corporation
1245-1330	212189	Modeling Fault Reactivation Triggered by Fluid Injection D. Tran, V.K. Shrivastava, L.X. Nghiem, Computer Modelling Group Ltd.
1245-1330	212252	Matrix Formulation for Simultaneous Calculations of Pressure and Temperature in Wells and Pipelines I.N. Alves, R. Islam, Texas A&M University; J. de Sousa Segundo, CMG – Computer Modelling Group
1245-1330	212184	Implementation of Adaptive Localization for Enhancing Ensemble-Based History Matching in Hydrocarbon Reservoir Management M.A. Pernalete, O. Lia, T. Popa, R.G. Hanea, Equinor ASA
1245-1330	212167	Deep Learning-based Multiresolution Parameterization for Spatially Adaptive Model Updating M. Valiyev, S.M. Razak, B. Jafarpour, University of Southern California

13:30 - 17:00

09 Linear and Nonlinear Solvers Grand Ballroom A

Session Chairpersons Denis Viktorovich Voskov - Delft University of Technology, Leonardo Patacchini - Stone Ridge Technology

As the resolution and complexity of reservoir models keep inexorably increasing, so does the need for efficient and scalable solvers, able to efficiently track the dynamics entailed by multiple physics at different scales. This session will feature novel algorithmic developments in general purpose and specialized linear solvers, nonlinear formulations and nonlinear solvers.

Time	Paper #	Presentation
1330-1400	212172	Constrained Pressure Residual Preconditioner Including Wells for Reservoir Simulation H.M. Nilsen, E. Ahmed, A.F. Rasmussen, K. Bao, SINTEF Digital; T. Skille, Equinor ASA
1400-1430	212176	A Global-convergent Newton Optimization Algorithm for the Phase Behavior Calculations with Capillary Pressure Effect for Tight Reservoir Fluids H. Jing, J. Liu, H. Pan, China University of Geosciences (Wuhan); T. Kuang, Z. Yin, B. Li, Exploration and Development Research Institute of Daqing Oilfield Company Ltd., PetroChina
1430-1500	212261	Smooth Formulation for Three-phase Black-oil Simulation with Superior Nonlinear Convergence J. Jiang, X. Wen, Chevron
1530-1600	212199	An Adaptive Newton-ASPEN Solver for Complex Reservoir Models K. Lie, O. Moyner, O.S. Klemetsdal, SINTEF
1600-1630	212219	Dissipation-based Nonlinear Solver for Efficient Implicit Simulation of Compositional and Discrete Fracture Models J. Jiang, Chevron; H. Pan, China University of Geosciences - Wuhan
1630-1700	212175	Learning to Solve Parameterized Single-cell Problems Offline to Expedite Reservoir Simulation A. Olawoyin, R. Younis, University of Tulsa
Alternate	212252	Matrix Formulation for Simultaneous Calculations of Pressure and Temperature in Wells and Pipelines I.N. Alves, R. Islam, Texas A&M University; J. de Sousa Segundo, CMG – Computer Modelling Group

13:30 - 17:00

10 C02 Storage and Enhanced Geothermal System Modeling Grand Ballroom B

Session Chairpersons Gilles Darche - TotalEnergies SE, Vijay Kumar Shrivastava - Computer Modelling Group Ltd.

The session will focus on simulation of CO2 storage, and enhanced geothermal system modeling. The thermal, hydrodynamic, and geomechanical effects associated with these processes will be presented including a well placement strategy for optimizing and controlling geological CO2 storage.

Time	Paper #	Presentation
1330-1400	212241	A Sequentially Coupled THM Model for Fractured Enhanced Geothermal Systems Using XFEM And Hybrid EDFM And MINC Models X. Yu, Colorado School of Mines; X. Yan, China University of Petroleum (East China); C. Wang, Saudi Aramco; S. Wang, Chevron N America Upstream; Y. Wu, Colorado School of Mines
1400-1430	212251	Phase-field Simulation of Near-wellbore Nucleation and Propagation of Hydraulic Fractures in Enhanced Geothermal Systems (EGS) F. Fei, Lawrence Livermore National Laboratory; A. Costa, J.E. Dolbow, Duke University; R.R. Settgast, M. Cusini, Lawrence Livermore National Laboratory
1430-1500	212228	Integrated Framework for Optimization of Horizontal/Deviated Well Placement and Control for Geological CO₂ Storage A.F. Zou, L.J. Durlofsky, Stanford University
1530-1600	212254	A New Phase-labeling Method Based on Machine Learning for CO₂ Applications S. Sheth, J. Bennett, SLB; D. Kachuma, TotalEnergies SE; M. Heidari, M. Shaykhattarov, SLB
1600-1630	212182	A Unified Thermal-Reactive Compositional Simulation Framework for Modeling CO₂ Sequestration at Various Scales M. Wapperom, Delft University of Technology; X. Lyu, China University of Petroleum (Beijing); D.V. Nichita, University of Pau; D. Voskov, Delft University of Technology
1630-1700	212235	Coupled CO₂ Injection Well Flow Model to Assess Thermal Stresses Under Geomechanical Uncertainty N. Andrianov, Geological Survey of Denmark and Greenland; F. Amour, M. Hajiabadi, H.M. Nick, Technical University of Denmark; M.P. Haspang, Gas Storage Denmark

15:00 - 15:30

Coffee Break Ballroom Foyer

17:15 - 18:45

P02 The 11th SPE Comparative Solution Project: A CO2 Storage Inspired Comparative Solution Project Grand Ballroom B

Moderator(s) Knut-Andreas Lie - SINTEF

Speaker(s) Anthony Robert Kovscek - Stanford University, Jan M. Nordbotten - University of Bergen

This session is the announcement of, and call for participation in, the 11th SPE comparative solution project (CSP). The 11th SPE CSP It is motivated on the simulation challenges associated with CO2 storage operations in geological settings of realistic complexity. The CSP contains three versions: Version 11A is a 2D geometry at the laboratory scale, inspired by a recent CO2 storage forecasting and validation study. For Version 11B, the 2D geometry and operational conditions from 11A are rescaled to field conditions characteristic of the Norwegian Continental Shelf. Finally, for Version 11C, the geometry of version 11B is extruded to a full 3D field model. The CSP has a two-year timeline, being launched at the 2023 SPE Reservoir Simulation Conference, and culminating at the 2025 SPE Reservoir Simulation Conference.

19:00 - 20:00

Student & Young Professionals Reception Pool Deck, San Luis Resort

Thursday, March 30

07:30 - 10:00

Registration and Coffee Convention Center Lobby

08:30 - 12:00

11 Complex Physics Grand Ballroom A

Session Chairpersons Alberto Cominelli - Eni E&P, Faruk Omer Alpak - Shell International E&P Co.

Reservoir simulation technology has been expanding its capability of rigorously solving increasingly complex multi-physics problems posed by developments on hydrocarbon recovery as well as energy transition themes. Advancements on thermal/compositional simulation, reactive transport including novel ways of accounting for geochemical effects, and multicontinuum transport modeling will be focus areas for the presentations in this session. Algorithmic developments, effective workflows, and results of state-of-the-art studies with applications to hydrocarbon recovery as well as subsurface storage will be shared by participants from leading industrial and academic institutions.

Time	Paper #	Presentation
0830-0900	212257	Salt Precipitation and Water Evaporation Modelling in a Black-Oil Reservoir Simulator C.G. Machado, P. Egberts, TNO; J. Alvestad, O.S. Hustad, Equinor ASA
0900-0930	212233	Experimental and Simulation Studies of Cryogenic Effects in the Near-wellbore Region P.H. Winterfeld, Colorado School of Mines; B. Yao, China University of Petroleum – Beijing; Y. Wu, Colorado School of Mines
0930-1000	212208	Advanced Modeling of Diffusion and Convection in Multiphase Compositional Simulation for Tight Porous Media S.H. Achour, R. Okuno, The University of Texas At Austin
1030-1100	212221	A Numerical Study of Selective Inorganic Precipitation in Fractures to Geoengineer Resilient and Secure Underground Storage Sites S. Fan, R. Younis, J. Lu, University of Tulsa
1100-1130	212222	Investigating Acidizing in Carbonate Reservoirs: Global Sensitivity Analysis Q.A. Sahu, Saudi Aramco PE&D; M. Fahs, University of Strasbourg; H. Hoteit, King Abdullah University of Science & Tech
1130-1200	212218	Molecular Simulation of Competitive Adsorption of Hydrogen and Methane: Analysis of Hydrogen Storage Feasibility in Depleted Shale Gas Reservoirs F. Chen, Texas A&M University; S. Wang, Chevron; H. Nasrabadi, Texas A&M University

08:30 - 12:00

12 Data Assimilation Grand Ballroom B

Session Chairpersons Pallav Sarma - Tachyus, Hector Manuel Klie - DeepCast

Data assimilation is an approach that seeks to effectively combine observations and model outputs with the purpose of improving the quality of predictions. In reservoir simulation, data assimilation encompasses a series of key workflows that include history matching, state estimation and uncertainty quantification. In this session, we’ll discuss the latest developments and applications of data assimilation on a variety of use cases that stress the conception of novel capabilities. Topics to be reviewed include extraction of new features embedded in the data, efficient handling of hyper-parameters via deep learning, acceleration of gradient-based calculations and, estimations involving multiple objectives.

Time	Paper #	Presentation
0830-0900	212190	Stein Variational Gradient Descent for Reservoir History Matching Problems S. Zhang, F. Forouzanfar, X. Wu, ExxonMobil
0900-0930	212196	Feature Extraction in Time-lapse Seismic Using Deep Learning for Data Assimilation R. Exterkoetter, G.R. Dutra, L. Figueiredo, F. Bordignon, LTrace Geophysical Solutions; A.A. Emerick, G.M. Neto, Petrobras
0930-1000	212232	On the Formulation of the Ensemble History-Matching Problem G. Evensen, NORCE Norwegian Research Centre AS
1030-1100	212242	A Practical Approach to Select Representative Deterministic Models Using Multi-Objective Optimization from an Integrated Uncertainty Quantification Workflow G. Gao, H. Lu, K. Wang, S. Jost, S. Shaikh, J.C. Vink, C. Blom, T.J. Wells, F.E. Saaf, Shell
1100-1130	212169	Efficient Inverse Modeling Framework for Energy Transition Applications Using Operator-Based Linearization and Adjoint Gradients X. Tian, D.V. Voskov, Delft University of Technology
1130-1200	212180	Performance Benchmarking of Different Methods to Solve Gauss-Newton Trust Region Subproblems G. Gao, H. Florez, J.C. Vink, C. Blom, T.J. Wells, F.E. Saaf, Shell
Alternate	212184	Implementation of Adaptive Localization for Enhancing Ensemble-Based History Matching in Hydrocarbon Reservoir Management M.A. Pernalete, O. Lia, T. Popa, R.G. Hanea, Equinor ASA
Alternate	212167	Deep Learning-based Multiresolution Parameterization for Spatially Adaptive Model Updating M. Valiyev, S.M. Razak, B. Jafarpour, University of Southern California

10:00 - 10:30

Coffee Break Ballroom Foyer