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Keywords: machine learning
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Proceedings Papers

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

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

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

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

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

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

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

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

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

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

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

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

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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