.... fracture china government upstream oil & gas reservoir simulation modeling & simulation united states government complex reservoir scaling method grid pedfm equation grid refinement fluid dynamics asia government flow in porous media transmissibility procedure discrete fracture...

... and computational efficiency. Finally, we demonstrate that the new algorithm is beneficial for a real high-contrast heterogeneous field model. upstream oil & gas flow in porous media united kingdom government solver fluid dynamics reservoir simulation scaling method prolongation operator boundary...

... modeling & simulation scaling method journal fluid dynamics united states government optimization problem artificial intelligence machine learning scenario workflow fast history matching society producer constraint category spe journal injector Introduction The close-loop modern...

.... upstream oil & gas fluid dynamics grid waterflooding united states government flow in porous media equation of state enhanced recovery artificial intelligence cross-section implementation fracture characterization reservoir simulation europe government scaling method optimization problem...

... at average saturations of 5-15%. The practical importance and workflow implications of these rate-dependent, tensorial saturation functions are explored. fluid dynamics modeling & simulation scaling method reservoir simulation australia government permeability flow in porous media production...

... surrounding the benefits of modern computing hardware for reservoir simulation and help drive deployment and design decisions for existing and future developments in both the commercial and academic spheres. upstream oil & gas cobol united states government simulation scaling method clojure...

... reservoir simulation artificial intelligence united states government modeling & simulation evolutionary algorithm constraint procedure multifidelity optimization reservoir characterization optimization configuration constraint violation durlofsky scaling method machine learning climate...

... 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 machine learning neural network scaling method reservoir simulation reference solution dual-porosity model...

... the strength of coupling between pressure and saturation. These CFL-like numbers are used to identify the cells that require fully implicit treatment in the nonlinear solution strategy. These criteria can also be used to improve the nonlinear convergence rates of Adaptive Implicit Methods (AIM). scaling...

... 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 scaling method multiphase flow upstream oil & gas artificial intelligence equation...

... simulator. Our approach fully utilizes the strength of the existing CPU simulator and minimizes the GPU development effort. This paper is also the first publication targeting GPU acceleration for compositional AIM models. equation of state compute scaling method upstream oil & gas reservoir...

... 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 scaling method reservoir simulation machine learning optimization problem coarse level artificial intelligence upstream oil...

...-phase flow in a realistic fracture geometry. The DPDP results match well the DFM reference solution, while being significantly faster than the latter. machine learning complex reservoir scaling method neural network accuracy upstream oil & gas random linear fracture configuration...

... of our knowledge, this is the first parallel implementation and demonstration of the versatile MsRSB method on the GPU architecture. scaling method scalability basis function multiscale method operator scientific computing msrsb implementation coarse grid gpu architecture upstream oil...

.... Numerical experiments illustrate the efficiency of our estimates and the performance of the adaptive algorithm. scaling method multiphase flow linearization error artificial intelligence upstream oil & gas flow in porous media fluid dynamics time step iteration error estimator error...

... to deal with the upscaling problems consistently and to enable a better understanding of the coarsening process. modeling & simulation gas oil ratio dp dp coarse model representation scaling method reservoir simulation fine model application limitation pseudo-relative permeability curve...

... computing (HPC). reservoir characterization modeling & simulation optimization problem upstream oil & gas heterogeneity workover scaling method asset and portfolio management complex reservoir enhanced recovery flow in porous media reservoir simulation resolution sfi fluid...

... experiment porous media reservoir simulation information adjoint model Indicator scaling method Upstream Oil & Gas equation sensitivity pressure error norm i-msfv method society of petroleum engineers optimization problem Hajibeygi goal tolerance total number Lagrange multiplier...

... Data Assimilation (ESMDA) approach to account for field measured data and provide an ensemble of history-matched models with calibrated properties. scaling method Artificial Intelligence Modeling & Simulation EDFM Upstream Oil & Gas real fractured reservoir intersection fidelity...

.... A fuzzy logic framework is applied to timestep selection of a fully implicit reservoir simulator. A combination of convergence data as well as physical quantities are used as inputs which has led to a robust and extendable timestep selector. fuzzy logic scaling method Upstream Oil & Gas...