... reservoir property application sand layer production data enhanced recovery observation data hm result error range artificial intelligence gpsnet model flow network pseudo well node uncertainty parameter Introduction Insights from reservoir simulation models have often been used...

... fracture cell split-metis interpolation error complex reservoir artificial intelligence solver algorithm matrix cpu time coarse grid block flow in porous media scaling method fracture network msrsb pressure solver basis function value pressure change fine-scale amg pressure solver...

... fluid dynamics multiphase flow newton waterflooding artificial intelligence converge transport subproblem gravity and capillarity tchelepi journal grid residual error subproblem ro-seidel waterflooding problem reservoir simulation enhanced recovery newton update iteration advection...

... 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...

... to overall simulation time speed-ups in the range of 1.1 to 2 times "out-of-the-box" in reference to CPR-AMG without any further tuning. geology geologist subsurface storage preconditioner flow in porous media artificial intelligence speedup result climate change run-time speedup result fluid...

... application proxy model realization geology artificial intelligence model parameter data assimilation oil and water production rate realization 19 100 permeability field hm application architecture ensemble member matrix transition output network Introduction History matching, or data...

... learning well control fluid dynamics reservoir simulation machine learning graph neural network injection rate neural operator prediction geology artificial intelligence architecture ensemble well output fourier neural operator equation saturation conference timestep Introduction...

... of the resulting localization and covariance estimations. This study introduces a novel framework that mitigates variance loss for non-local parameters in ensemble-based data assimilation, offering a practical solution that balances accuracy and computational cost. artificial intelligence model parameter...

... geology hydraulic fracturing mudstone simulation fracture half-length fracture geometry mudrock artificial intelligence fracture well 1 interaction well 4 geologist complex reservoir shale gas geological subdiscipline fracture height workflow effective fracture height simulator...

... constraint) results at very affordable computational expenses, while still maintaining good agreement with the results from the high-fidelity reservoir simulator. fluid dynamics geology optimization problem reservoir simulation artificial intelligence constraint co 2 deep learning flow...

... is capable of accurately handling the three-phase problem, ensuring precise calculations of both saturation and pressure. pvt measurement flow in porous media reservoir simulation waterflooding artificial intelligence connective unit equation enhanced recovery application fluid dynamics...

... fraction geochemistry state space operator delaunay triangulation composition artificial intelligence geochemical characterization interpolation strategy configuration simulation time equilibrium Introduction Recent projections indicate a substantial rise in electricity demand, estimated...

... 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...

... 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...

... reservoir characterization simulation grid waterflooding flow in porous media application surrogate model mathematics of computing reservoir simulation artificial intelligence permeability field graph model information spe reservoir simulation conference equation connection distance...

... enhanced recovery social responsibility climate change co 2 dfo method reservoir characterization algorithm equation of state miscible method sustainable development constraint output constraint geology subsurface storage artificial intelligence storage capacity search space jahanbani...

... 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...

... in timestep size. modeling & simulation ann model equation artificial intelligence simulation case accuracy reservoir simulation machine learning timestep size convergence engineer speedup activation function base case geoscientist & engineer simulation runtime fuzzy logic...

... a real drilling case. It is shown to outperform a state-of-the-art DQN implementation, achieving a larger NPV and solutions more robust to the uncertainty on the reservoir geological properties. geologist artificial intelligence deep learning deep reinforcement learning asset and portfolio...

... generate more electricity and reduce the levelized cost of electricity. Our optimization work can provide guidance to the implementation and operations of the geothermal reservoir, the solar field and the power plant under optimal conditions. deep learning artificial intelligence neural network...