..., the architecture learns latent spaces that encode spatial information across multiple scales. The resulting parameterization can facilitate the integration of data at different resolutions while enabling updates to the desired regions of the domain. Unlike the standard deep learning latent variables...

... 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...

... Abstract A novel higher resolution spectral volume method coupled with a control-volume distributed multi-Point flux approximation (CVD-MPFA) is presented on unstructured triangular grids for subsurface reservoir simulation. The flow equations involve an essentially hyperbolic convection...

... time step solver resolution sfi implementation scaling method asset and portfolio management complex reservoir fluid dynamics simulation workflow multiscale sfi sfi simulation petroleum engineer timestep scenario Introduction Reservoir engineering is founded on the science...

..., at the same time, it remains accurate in presence of complex fluid physics and heterogeneous rock properties. The embedded discrete fracture model is employed to accurately represent fractures without the necessity of unstructured complex grids. On the fine-scale system, FG-ADM introduces a multi-resolution...

... structures from the underlying model. One can also use flow information to distinguish regions of high or low flow, and use this division, or other geological or user-defined quantities, to select and adapt the model resolution differently throughout the reservoir. Altogether, the framework provides a wide...

... reservoir simulation approximation saturation equation flux approximation Artificial Intelligence Fluid Dynamics edwards flux formulation capillary pressure Upstream Oil & Gas two-phase flow gravity matrix flow in porous media equation pressure model resolution Firoozabadi...

... diffusion dominates numerical diffusion to obtain converged solutions. This typically requires the use of high mesh resolution and high order numerical methods. This is computationally expensive, particularly in 3D. We use IC-FERST, a novel control volume finite element (CVFE) code that uses dynamic mesh...

...., resolution in the transverse direction is not required). The upscaling method is an aggregation-based technique in which coarse control volumes are aggregates of fine-scale cells, and coarse transmissibilities are computed using a general flow-based procedure. Numerical results are presented for waterflood...

... Abstract A dynamic multilevel compositional solver (C-ADM) is introduced for fully(and sequentially-) implicit systems arising from compositional displacements in natural porous media. The fully (or sequential) implicit system is first described at a fine-scale resolution, where phases...

... Abstract Standard reservoir simulation schemes use single-point upstream weighting for computing the convective fluxes when multi-phase/component fluids are present. These schemes are only first-order and may cause high viscosity effect. Second-order schemes provide a better resolution...

... Abstract A method is presented for the numerical simulation of wells with arbitrary trajectories using 3D unstructured grids, with a resolution that automatically adjusts to the simulation context: for pressure transient analysis (logarithmic time steps) or low permeability reservoirs a very...

..., or in between regions of sharp flow transients such as wells. These compartments may then be coarsened using different tailored techniques and target grid resolutions providing much more flexibility compared to traditional coarsening methods. We demonstrate that various techniques for flow-based...

... Local updates of the structural topology allow structural elements to be effectively removed from or inserted into the grid, and the grid is locally adapted to the local change in the geological structure. To optimize the grid resolution, we have developed the principles of a hierarchical...

... problems. In all cases, the proposed strategy improves the robustness and efficiency of the nonlinear solution. Modeling & Simulation reservoir simulation approximation flow in porous media resolution composition parameter space representation OBL approach Upstream Oil & Gas molar...

... geological model at a scale consistent with the resolution of the available data. In the second step, we use the EnKF algorithm to estimate, from static pressure data, the parameters of the coarse-scale model reservoir that represent the flow connectivity in the reservoir. Then, the learning in the first...

... and efficiently. Dynamic mesh adaptivity optimizes the mesh resolution based on fingering structures. We have compared the size and pattern of fingering obtained by this method with results of a commercial reservoir simulator based on finite volume methods using models with parallel, diagonal and non-uniform...

... are judged to be ‘realistic’ even though porosity and permeability values vary from grid cell to grid cell at a spatial resolution that is dictated by the chosen grid, rather than the underlying geology. In contrast, we argue that if there is an identified geological heterogeneity controlling the spatial...

... to effectively reduce numerical cross-wind diffusion effects, leading to improved resolution of concentration and saturation fronts. Artificial Intelligence Fluid Dynamics Saturation profile reservoir simulation upwind scheme information flow in porous media resolution edwards Upstream Oil...

... at a coarse scale and an associated set of property parameterizations at increasing resolutions. Automatic optimization algorithms are investigated that utilize the differing scales. The aim is to develop optimization methods that can extract maximum information from the production data and are fast...