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Keywords: artificial intelligence
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Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203941-MS
... machine learning reservoir simulation artificial intelligence history matching probabilistic forecasting algebraic equation best run statistical model dae model dae equation modeling & simulation upstream oil & gas reservoir simulation model algorithm solver differential equation...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203937-MS
... international journal algorithm upstream oil & gas simulation iteration petroleum engineer hydraulic fracturing fracture tip computer method analytical method fracture fluid-driven fracture propagation equation artificial intelligence engineering geomechanics propagation criterion time...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203917-MS
... machine learning neural network artificial intelligence reservoir simulation fluid dynamics prediction pressure distribution piml method physics pde numerical example application fracture hydraulic fracturing upstream oil & gas boundary condition analytical solution partial...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203965-MS
... fields. The model honors mass conservation and the underlying physics laws, which many existing approaches don't take into direct consideration. artificial intelligence fluid dynamics machine learning upstream oil & gas simulation durlofsky 2020 deep learning pod-tpwl liu reduced-order...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203934-MS
... lead to a new class of algorithms to solve both forward and inverse physical problems. artificial intelligence upstream oil & gas dimension neural network machine learning deep learning resolution iteration saturation architecture application physics partial differential equation...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203913-MS
... results. More importantly, the workflow can optimize a large number of control parameters used in a complex CO 2 -WAG process, which greatly extends its utility in solving large-scale multi-objective optimization problems in various projects with similar desired outcomes. artificial intelligence...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203968-MS
... workflow high-fidelity model connectivity matrix ensemble algorithm artificial intelligence dfm model full ensemble statistics statistics fracture equation subset fractured reservoir Introduction Society heavily depends on the availability of energy (e.g., industry and agriculture...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203949-MS
... to determine which scheme offers the best compromise for the test case considered here. artificial intelligence equation of state flow in porous media structural geology fluid dynamics reservoir characterization multiphase flow upstream oil & gas mesh numerical scheme workflow tpfa scheme...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203914-MS
... tuning for fluid characterization. machine learning upstream oil & gas training data monahan clearfork oil artificial intelligence stability analysis composition fraction pvt measurement composition absolute difference peng-robinson eos predictor variable fugacity coefficient proxy...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203901-MS
... be extended to construct generalized dual-porosity, dual-permeability models or include more complex physics, such as capillary and gravity effects. artificial intelligence deep learning equation of state upstream oil & gas scaling method reservoir simulation machine learning neural network...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203961-MS
... delaunay triangulation convergence machine learning upstream oil & gas discretization tpfa transmissibility truncation error artificial intelligence fluid dynamics voronoi grid grid quality measure strata local approximation permeability grid flow in porous media approximation spe...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203907-MS
... are able to match statistics for a simple flow problem on the fine grid with high accuracy and at much lower cost on a scale of coarser grids. bayesian inference sampler artificial intelligence upstream oil & gas posterior distribution iteration time scaling method reservoir simulation...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203933-MS
... artificial intelligence clojure programming language cobol upstream oil & gas argument arithmetic intensity time step computation mxcsl layout expression differentiation expression template operation problem size modeling & simulation software engineering gflop independent variable...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203900-MS
... on the convergence rates of the coupled problem; and 4) a novel SFI framework was developed based on the nonlinear acceleration techniques to ensure robust outer-loop convergence. flow in porous media pvt measurement modeling & simulation reservoir simulation standard sfi sfi artificial intelligence...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203958-MS
... fluid dynamics hydraulic fracturing upstream oil & gas discretization artificial intelligence complex reservoir engineering international journal vertex finite element method shape function mechanics algorithm fracture intersection grid harmonic shape function fractured reservoir...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203931-MS
... INSIM-FPT-3D leads to more accurate characterization of the interwell connectivities. modeling & simulation enhanced recovery flow in porous media reservoir simulation artificial intelligence drillstem testing drillstem/well testing history matching wbhp insim-ft-3d characterization...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203923-MS
... the first trial to clarify the relationship between the stress approach and the displacement approach. Moreover, the derived semi-analytical solution provides a convenient yet precise way to obtain the stress field without time-consuming numerical simulation. artificial intelligence mean stress...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203919-MS
... management artificial intelligence upstream oil & gas regression proxy doe study categorical variable input variable history matching transition representative model reservoir characterization reservoir simulation monte carlo simulation heavy hitter pitfall interaction stakeholder d...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203947-MS
... over equivalent Sparse Matrix Vector product (SpMV) which is already optimized and provides better scalability. node spmv algorithm interface artificial intelligence linear system computation data structure upstream oil & gas stream 0 communication step matrix mpk stream 1...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203924-MS
... in this work. machine learning reservoir simulation fluid dynamics artificial intelligence deep learning geomodel flow in porous media history matching es-mda procedure realization prediction application production well neural network upstream oil & gas time step evaluation...

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