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Proceedings Papers

Coupled Graph Neural Network and Fourier Neural Operator Architecture for Ensemble Workflows in 3d Reservoir Simulation

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Surya Teja Sathujoda, Soham Sheth
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223907-MS
https://doi.org/10.2118/223907-MS
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View Paper titled, Coupled Graph Neural Network and Fourier Neural Operator Architecture for Ensemble Workflows in 3d Reservoir Simulation
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Proceedings Papers

Machine Learning to Enhance the Covariance Estimations of Non-Local Model Parameters in Ensemble Based-Data Assimilation

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Vinicius L. S. Silva, Gabriel S. Seabra, Alexandre A. Emerick
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223908-MS
https://doi.org/10.2118/223908-MS
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View Paper titled, Machine Learning to Enhance the Covariance Estimations of Non-Local Model Parameters in Ensemble Based-Data Assimilation
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Proceedings Papers

Fast Objective Function Estimator Based on Parametric Dynamic Mode Decomposition for Wag-Co 2 Injection in Carbonate Reservoirs

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Isabela Magalhaes de Oliveira, Eduardo Gildin, Denis Schiozer
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223923-MS
https://doi.org/10.2118/223923-MS
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View Paper titled, Fast Objective Function Estimator Based on Parametric Dynamic Mode Decomposition for Wag-Co 2 Injection in Carbonate Reservoirs
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Proceedings Papers

Implementing a Duchon Spline Based on Gauss-Newton Distributed Optimizer for Coupled Flow and Geomechanics

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Horacio Florez, Michel Cancelliere
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223866-MS
https://doi.org/10.2118/223866-MS
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View Paper titled, Implementing a Duchon Spline Based on Gauss-Newton Distributed Optimizer for Coupled Flow and Geomechanics
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Proceedings Papers

Hybrid Optimization Framework for Well-Placement Using Gradient-Free Algorithm and Physics-Informed Artificial Intelligence

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Kheireddine Redouane, Ashkan Jahanbani Ghahfarokhi
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223867-MS
https://doi.org/10.2118/223867-MS
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View Paper titled, Hybrid Optimization Framework for Well-Placement Using Gradient-Free Algorithm and Physics-Informed Artificial Intelligence
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Proceedings Papers

Diffusion Model-Based Multi-Fidelity Reservoir Simulation Surrogates for Upscaled Model Error Correction

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Yong Do Kim, Satomi Suzuki, Xiao-Hui Wu, Gauthier Becker
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223870-MS
https://doi.org/10.2118/223870-MS
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View Paper titled, Diffusion Model-Based Multi-Fidelity Reservoir Simulation Surrogates for Upscaled Model Error Correction
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Proceedings Papers

A Data-Driven Approach to Select Optimal Time Steps for Complex Reservoir Models

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O. Møyner, K. -A. Lie
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223874-MS
https://doi.org/10.2118/223874-MS
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View Paper titled, A Data-Driven Approach to Select Optimal Time Steps for Complex Reservoir Models
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Proceedings Papers

Incremental Machine Learning for Near-Well Prediction: A Non-Linear Preconditioning Approach to Faster History Matching

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Antoine Lechevallier, Tor Harald Sandve, David Landa-Marbán, Birane Kane, Sarah Eileen Gasda
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223843-MS
https://doi.org/10.2118/223843-MS
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View Paper titled, Incremental Machine Learning for Near-Well Prediction: A Non-Linear Preconditioning Approach to Faster History Matching
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Proceedings Papers

Everest™: An Open-Source Platform for Decision Making Under Uncertainties

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R. G. Hanea, R. Oliveira, T. Popa, F. Feldmann, Ø. Eide, S. Sortland, T. L. M. van der Heijden, E. G. D. Barros, S. P. Szklarz, O. Leeuwenburgh, P. J. Verveer, S. de Hoop, S. Bottero, K. M. Hopstaken
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223850-MS
https://doi.org/10.2118/223850-MS
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View Paper titled, Everest™: An Open-Source Platform for Decision Making Under Uncertainties
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Proceedings Papers

Enhanced Uncertainty Quantification of Reservoir Simulation Models Through Synergistic Integration of Particle Swarm Optimisation with the Ensemble Kalman Smoother

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Muhammad Kathrada, Derric Ong, Edward Evans
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223832-MS
https://doi.org/10.2118/223832-MS
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View Paper titled, Enhanced Uncertainty Quantification of Reservoir Simulation Models Through Synergistic Integration of Particle Swarm Optimisation with the Ensemble Kalman Smoother
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Proceedings Papers

Combining Data-Driven Modeling and Physics-Based Simulation for Unconventional Production Forecasting

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Sebastien Matringe, Amir Kianinejad, Miguel Jakymec, Carlos Miranda, Christian Gronister, Taylor Goy
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223835-MS
https://doi.org/10.2118/223835-MS
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View Paper titled, Combining Data-Driven Modeling and Physics-Based Simulation for Unconventional Production Forecasting
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Proceedings Papers

Comparative Analysis of Derivative-Free Optimization Algorithms in Geological CO 2 Storage Well Placement Problem with Nonlinear Constraints

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J. Mao, M. Hannanu, A. Jahanbani Ghahfarokhi, M. Hovd
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223846-MS
https://doi.org/10.2118/223846-MS
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View Paper titled, Comparative Analysis of Derivative-Free Optimization Algorithms in Geological CO 2 Storage Well Placement Problem with Nonlinear Constraints
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Proceedings Papers

Optimal Timestep Selection in Numerical Reservoir Simulation Using a Machine Learning Approach

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Fatimah Al-Ruwai, Ali Alturki
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223879-MS
https://doi.org/10.2118/223879-MS
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View Paper titled, Optimal Timestep Selection in Numerical Reservoir Simulation Using a Machine Learning Approach
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Proceedings Papers

Optimal Drilling Scheduling in Field Development Planning by Deep Reinforcement Learning

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Nicolás Javier Cárdenas Pantoja, Adam Abdin, Piero Baraldi, Luca Pinciroli, Alice Forello, Laura Dovera, Enrico Zio
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223917-MS
https://doi.org/10.2118/223917-MS
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View Paper titled, Optimal Drilling Scheduling in Field Development Planning by Deep Reinforcement Learning
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Proceedings Papers

Coupled Flow-Geomechanics Surrogate Model with Flexible Boundary Conditions for Geological CO 2 Storage Using Fourier Neural Operator Based Gated Recurrent Network

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S. Qiao, W. BenSaleh, B. Zhang
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223871-MS
https://doi.org/10.2118/223871-MS
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View Paper titled, Coupled Flow-Geomechanics Surrogate Model with Flexible Boundary Conditions for Geological CO 2 Storage Using Fourier Neural Operator Based Gated Recurrent Network
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Proceedings Papers

A New Phase-Labeling Method Based on Machine Learning for CO2 Applications

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Soham Sheth, James Bennett, Dick Kachuma, Mohammad Reza Heidari, Marat Shaykhattarov
Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212254-MS
https://doi.org/10.2118/212254-MS
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View Paper titled, A New Phase-Labeling Method Based on Machine Learning for CO2 Applications
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Proceedings Papers

Deep Learning-Based Disentangled Parametrization for Model Calibration Under Multiple Geologic Scenarios

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Junjie Yu, Behnam Jafarpour
Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212177-MS
https://doi.org/10.2118/212177-MS
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View Paper titled, Deep Learning-Based Disentangled Parametrization for Model Calibration Under Multiple Geologic Scenarios
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Proceedings Papers

Nonlinearly Constrained Life-Cycle Production Optimization Using Sequential Quadratic Programming (SQP) With Stochastic Simplex Approximated Gradients (StoSAG)

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Quang Nguyen, Mustafa Onur, Faruk Omer Alpak
Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212178-MS
https://doi.org/10.2118/212178-MS
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View Paper titled, Nonlinearly Constrained Life-Cycle Production Optimization Using Sequential Quadratic Programming (SQP) With Stochastic Simplex Approximated Gradients (StoSAG)
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Proceedings Papers

A Quasi-Newton Method for Well Location Optimization Under Uncertainty

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Esmail Eltahan, Faruk Omer Alpak, Kamy Sepehrnoori
Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212212-MS
https://doi.org/10.2118/212212-MS
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View Paper titled, A Quasi-Newton Method for Well Location Optimization Under Uncertainty
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Proceedings Papers

Use of Clustering Techniques for Automated Lumping of Components in Compositional Models

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Michel A. Cancelliere, J. Andino Saint Antonin
Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212211-MS
https://doi.org/10.2118/212211-MS
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View Paper titled, Use of Clustering Techniques for Automated Lumping of Components in Compositional Models
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