... Abstract Reservoir simulation is essential for various reservoir engineering processes such as history matching and field development plan optimization but is typically an intensive and time-consuming process. The aim of this study is to compare various deep-learning algorithms for constructing...

... in porous media carbonate reservoir artificial intelligence saturation asia government complex reservoir europe government enhanced recovery permeability reservoir simulator upstream oil & gas malaysia government gas injection method journal optimization software onepetro modeling...

... Abstract Graphics Processing Units (GPUs) have been successful in providing up to an order of magnitude performance benefit for reservoir simulation; this has been demonstrated for both standalone black-oil and compositional models. To our knowledge however, a demonstration of the applicability...

... as a workflow with any existing reservoir simulator for optimal WAG parameters to maximize reservoir life cycle cumulative recoveries. The reservoir simulator is treated as a sample generator to form an ensemble of recovery scenarios with the WAG parameters as inputs to a dense neural network (DNN) and outputs...

... government asia government simulator forecast artificial intelligence machine learning ai simulation ai simulator comparison upstream oil & gas deep learning enhanced recovery simulation history assisted numerical reservoir simulation reservoir simulator case study artificial intelligence...

... in a reservoir simulator, as an alternative to relating pressure and saturation from reservoir simulator-to-seismic-derived properties using a priori empirically based correlations. The method discussed in this paper maintains appreciable continuity with the results of empirically based petro-elastic methods...

... operational factor. These particles were then evaluated by the reservoir simulator to calculate the cumulative oil production by the end of the prediction period. To reach the optimal solution, 100 candidate solutions were created as training experiments with 4 successive iterations of approximately 20...

..., optimization software can be combined with a numerical reservoir simulator. Hence, robust and faster results are imperative to optimization problems. To maximize cumulative recovery and net present value (NPV), the reservoir simulator works on maximizing these predefined objective functions that can be multi...

... Geomechanics and fluid flow model provides an essential and reliable prediction for field planning and development. In this work, we implemented this model in an in-house, three dimensional, compositional reservoir simulator, UTCOMP, using modified Chin’s iterative coupling method. This development integrated...

... Abstract This paper presents our work on developing parallel reservoir simulators for improving oil recovery on distributed-memory parallel systems and studying the scalability of our parallel reservoir simulators. The reservoir simulators are based on our in-house parallel platform, PRSI...

... Abstract Parallel reservoir simulators are now widely used with availability of super computers. Modern massively parallel supercomputers demonstrate great power for simulating large-scale reservoir models. However, improving scalability and efficiency for fully implicit methods on emerging...

... Abstract In the oil industry, most of the reservoir studies are routinely run using commercial reservoir simulators developed about 30 years ago. These simulators were conceived for serial computers, logically structured grid with moderate permeability contrasts and moderate physical complexity...

... Abstract As a result of the interplay between advances in computer hardware, software, and algorithms, we are now in a new era of large-scale simulation. Fine-scale reservoir simulations focus on fine reservoir characterization, accurate flow description, efficient nonlinear and linear solvers...

... of upscaling. We present a procedure to address the above issues and provide full consistency between static and dynamic models in terms of HIIP, without the use of capillary pressure (Pc) scaling by the reservoir simulator. A "preprocessing" workflow is used to slightly reassign the Pc curve of each grid...

... of the surface facility constraints and reservoir conditions are important in designing good quality production injection strategies for these circumstances. Coupled facility and reservoir simulations allow production optimization and determination of the impact of injection or disposal policies on reservoir...

.... In this study, we describe a field development project improvement due to production rate management using a well known approach for coupling a commercial reservoir simulator and a simplified surface network model. The approach technique was tested using a real-based case of two offshore fields, one of gas...

... Abstract In recent years operators have shown great interest in the coupling between the multiphase fluid flow and the rock deformation in oil reservoirs and surrounding rocks. Frequently, the geomechanical effects are approximated in a conventional reservoir simulation through only the rock...

... reservoir simulators to predict mixture viscosity. Predictions based on the equation are compared to a set of accurate benchmark data that are based on the best available experimental data for hydrocarbon mixtures. These data cover a temperature range of -175°C to 200°C, and extend to high pressures...