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Keywords: machine 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
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223871-MS
... methods reservoir geomechanics production control reservoir characterization machine learning geological subdiscipline climate change gru-fno dataset co 2 representation information fourier neural operator boundary condition ground truth sequence tversky loss saturation prediction...
Proceedings Papers
Enhancing Computational Efficiency of Numerical Simulation for Subsurface Fluid-Induced Deformation Using Deep Learning Reduced Order Models
Available to PurchaseE. Ballini, A. Cominelli, L. Dovera, A. Forello, L. Formaggia, A. Fumagalli, S. Nardean, A. Scotti, P. Zunino
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223897-MS
... scenario cff equation structural geology flow in porous media geological subdiscipline autoencoder manzoni plate tectonics neural network machine learning modeling dataset journal manifold fluid dynamics deep learning artificial intelligence order model contribution dl-rom...
Proceedings Papers
Physics-Based Reduced-Order Model Preconditioning for Carbon Capture and Sequestration Simulations
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223899-MS
... dynamics reservoir simulation machine learning pod-rom preconditioner physics solver performance basis function migration period basis vector equation solver and run-time speedup result evaporation model cpr-amg diffusion Introduction Model reduction techniques are essential...
Proceedings Papers
Deep-Learning-Based History Matching Framework Using an Embed-To-Control Observe Reservoir Surrogate
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223904-MS
... compared to the simulated variables generated by a high-fidelity simulator, offering valuable insights into its performance. history matching neural network deep learning assimilation geologist reservoir simulation machine learning prediction state variable production rate well output...
Proceedings Papers
Coupled Graph Neural Network and Fourier Neural Operator Architecture for Ensemble Workflows in 3d Reservoir Simulation
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223907-MS
... Abstract Current reservoir simulators solve Advection-Diffusion-Reaction equations on unstructured grids to a high degree of accuracy but are computationally expensive to use in history matching, optimization and uncertainty quantification workflows. We propose a novel machine learning...
Proceedings Papers
Machine Learning to Enhance the Covariance Estimations of Non-Local Model Parameters in Ensemble Based-Data Assimilation
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223908-MS
... Abstract We propose a novel framework based on machine learning methods for tabular data and a distance-free localization to enhance the covariance estimations in an ensemble data assimilation. The main goal is to enhance the data assimilation results by mitigating loss of variance due...
Proceedings Papers
Application of Embed-to-Control Observe Deep-Learning-Based Reservoir Surrogate in CO 2 Storage Monitoring and Multi-Objective Optimization
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223914-MS
... in porous media realization onur machine learning case 10 100 geologist realization 1 well control production optimization neural network optimization spe10 model e2co prediction nonlinear state constraint realization 5 denote nguyen and onur pressure distribution objective function...
Proceedings Papers
Machine Learning Assisted Upscaling of Compositional Models
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223921-MS
... fine-scale solution. We apply the proposed method and accurately reconstruct the fine-scale solution of two- and four-component problems in heterogeneous, two-dimensional reservoir models. artificial intelligence neural network operator machine learning conservation equation interface deep...
Proceedings Papers
Fast Objective Function Estimator Based on Parametric Dynamic Mode Decomposition for Wag-Co 2 Injection in Carbonate Reservoirs
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223923-MS
... problem complex reservoir modeling & simulation structural geology production monitoring rock type machine learning numerical simulation reservoir surveillance schiozer production control wag-co 2 matrix cycle size artificial intelligence chemical flooding methods snapshot dynamic...
Proceedings Papers
Application of Ensemble-Based Forecast Calibration with Data-Space Inversion for Production Optimization
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223878-MS
... artificial intelligence production control prediction singh reference model ensemble data-space inversion dimension geology reservoir surveillance machine learning dsi framework szklarz and barros production rate forecast procedure injection rate scenario posterior Introduction Oil...
Proceedings Papers
Optimal Timestep Selection in Numerical Reservoir Simulation Using a Machine Learning Approach
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223879-MS
... across both temporal and spatial domains. The temporal discretization scheme, in addition to other factors such as reservoir model's complexity, influence the Newton iterations and the overall runtime of the numerical simulation. This work capitalizes on machine learning approach to predict the optimal...
Proceedings Papers
Optimal Drilling Scheduling in Field Development Planning by Deep Reinforcement Learning
Available to PurchaseNicolás Javier Cárdenas Pantoja, Adam Abdin, Piero Baraldi, Luca Pinciroli, Alice Forello, Laura Dovera, Enrico Zio
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223917-MS
... management reservoir online network target network agent realization geology machine learning optimization drilling scheduling olympus challenge computational geoscience field development planning soft-update mechanism q-value geological property oil production experiment Introduction...
Proceedings Papers
Optimization of Solar-Geothermal Hybrid Power Plant System Through Deep Learning
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223861-MS
... machine learning production monitoring configuration reservoir surveillance power plant optimization problem production control production temperature geothermal power plant stand-alone power plant decision parameter bottom hole temperature surrogate model hybrid power plant geothermal...
Proceedings Papers
Streamline-Based Integration of Time-Lapse Seismic and Production Data into Heterogeneous Geological Models
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223863-MS
... artificial intelligence reservoir surveillance machine learning production monitoring permeability field reservoir characterization geologist modeling & simulation production control production data annual technical conference and exhibition water saturation change datta-gupta streamline...
Proceedings Papers
Implementing a Duchon Spline Based on Gauss-Newton Distributed Optimizer for Coupled Flow and Geomechanics
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223866-MS
... reservoir simulation artificial intelligence machine learning geology scientific computing reservoir characterization optimizer geologist optimization problem reservoir geomechanics geological subdiscipline florez flow in porous media jacobian duchon spline approximation evolutionary...
Proceedings Papers
Hybrid Optimization Framework for Well-Placement Using Gradient-Free Algorithm and Physics-Informed Artificial Intelligence
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223867-MS
... convergence and higher accuracy. The SAOR in this paper is configured with different types of (DoE), two adaptive sampling methods and two machine learning models: Gaussian Process (GP) and Adaptive Neuro-Fuzzy Inference System (ANFIS). This enables the evaluation of multiple physics-informed AI...
Proceedings Papers
Diffusion Model-Based Multi-Fidelity Reservoir Simulation Surrogates for Upscaled Model Error Correction
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223870-MS
...Introduction As noted earlier, the main interest of this study is estimating fine-scale reservoir simulation results using upscaled reservoir simulation results. Machine learning methods have been applied to correct errors from upscaled model simulation results. Trehan and Durlofsky (2018...
Proceedings Papers
A Data-Driven Approach to Select Optimal Time Steps for Complex Reservoir Models
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223874-MS
... knowledge, our new self-learning time-step selector is the first to be based on a statistical approach. subsurface storage reservoir simulation geology artificial intelligence time step iteration reservoir surveillance machine learning production control geologist modeling & simulation...
Proceedings Papers
Streamline-Based Three-Phase History Matching for Field-Scale Compositional Modeling Under CO2 Enhanced-Oil-Recovery in the Permian Basin, Texas
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223883-MS
... algorithm production data local calibration streamline-based three-phase history matching geology modeling & simulation reservoir characterization calibration gtti misfit equation of state enhanced recovery machine learning inversion permian basin reservoir heterogeneity maintain...
Proceedings Papers
Combining Adjoint Gradient with Commercial Reservoir Simulator for Efficient History Matching
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 25–27, 2025
Paper Number: SPE-223837-MS
... history matching using adjoint gradients while still using industry-standard commercial reservoir simulators. history matching optimization problem geologist reservoir simulation geology evolutionary algorithm machine learning adjoint gradient permeability equation conference...
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