... model, which reproduces the behavior of a reservoir simulator and results in significant speedup compared to running the numerical simulator. Initially, we generate an ensemble of realizations via the reservoir simulator to train the different ML algorithms. The data set consists of a comprehensive set...

... (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 of GPUs to the simulation of models coupled...

... 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/labels...

... waterflooding reservoir simulation optimization problem asia government netherlands government machine learning concentration complex reservoir foam europe government enhanced recovery permeability reservoir simulator journal malaysia government gas injection method modeling & simulation...

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

... manifesting during the course of the simulation. The automated system works according to a procedure that has been coded into the parameterization of the reservoir simulator allowing for not only seamless process automation but also further customization, such as unsteady relative permeability, but also...

..., 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...

... 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...

... 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...

... and the density of the oil phase is a function of its phase pressure and the bubble point pressure: ρ o o = ρ o o ( p o , p b ) , Abstract This paper presents our work on developing parallel reservoir simulators for improving oil recovery on distributed-memory...

... 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...

... for these analyses, an iteratively coupled 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...

... 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 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...

... equal that calculated using the fine-grid model within a predefined tolerance. The comparison should, usually, be done between HIIP obtained using the static model and that reported by the reservoir simulator after the initialization process. The analysis of the MICP samples reveals...

... different fluid compositions, sharing a common surface facility. 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...

... + ϕ n c l B l n ) The final form of the finite difference equation for the conventional reservoir simulation is represented by Eq. (12) . (12) T l χ t + 1 / 2 , j , k ( p i + 1 , j , k n + 1 − p i , j , k n + 1...

... 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...