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Mechanistic Characterization and Synergistic Optimization of Residual-Oil Distribution in Low-Permeability Bottom-Water Reservoirs. [PDF]

ACS Omega
Zhang Y, Liu G, Ge S, Wang J, Qu X, Zhen F, Gao Q, Tang X, Cao X, Zhao L.   +9 more
europepmc   +1 more source

RESERVOIR SIMULATION FOR RESERVOIR MANAGEMENT

The APEA Journal, 1986
The Hutton reservoir in the Merrimelia Field (Cooper-Eromanga Basin) was the subject of a 3-D reservoir simulation study. The primary objective of the study was to develop a reservoir management tool for evaluating the performance of the field under various depletion options.
A.B. Kaliszewski
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A Parallel Reservoir Simulator for Large-Scale Reservoir Simulation

SPE Reservoir Evaluation & Engineering, 2002
SummaryA new parallel, black-oil-production reservoir simulator (Powers**) has been developed and fully integrated into the pre- and post-processing graphical environment. Its primary use is to simulate the giant oil and gas reservoirs of the Middle East using millions of cells.
A. H. Dogru, H. A. Sunaidi, L. S. Fung, W. A. Habiballah, N. Al-Zamel, K. G. Li   +5 more
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Reservoir Simulation

2007
List of figures List of tables List of notation Preface 1. Introduction 2. A glossary of petroleum terms 3. Single-phase flow and numerical solution 4. Well modeling 5. Two-phase flow and numerical solution 6. The black oil model and numerical solution 7. Transport of multicomponents in a fluid and numerical solution 8. Compositional flow and numerical
Rod P. Batycky, Marco R. Thiele, K.H. Coats, Alan Grindheim, Dave Ponting, John E. Killough, Tony Settari, L. Kent Thomas, John Wallis, J.W. Watts, Curtis H. Whitson   +10 more
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Parallelization of a reservoir simulator

1988
Numerical reservoir simulation demands very high computing performance. Vectorization has been widely used as a performance enhancing technique. Parallel computing can also be used to satisfy the increasing requirements of more sophisticated models.
Terje Kårstad, Adolfo Henriquez, Knut Korsell   +2 more
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A data-driven reservoir simulation for natural gas reservoirs

Neural Computing and Applications, 2021
Physics-based reservoir simulation is the backbone of many decision-making processes in the oil and gas industry. However, due to being computationally demanding, simulating a model multiple times in iterative studies, such as history matching and production optimisation, is extremely time intensive.
Shahdad Ghassemzadeh, Maria Gonzalez Perdomo, Manouchehr Haghighi, Ehsan Abbasnejad   +3 more
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EVOLUTION OF RESERVOIR SIMULATION FOR A LARGE CARBONATE RESERVOIR

Proceedings of Middle East Oil Show, 1989
ABSTRACT Reservof-1 is a large carbonate reservoir that was discovered and developed in the 1940's. A brief description of the reservoir and major events of the field development are presented. A 2D areal model was constructed for the reservoir in the 1970's. The use and the shortcomings of the model are discussed.
S. M. Al-Dawas, A. M. Krishnamoorthy
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Graphics in Reservoir Simulation

Computer Graphics Forum, 1987
AbstractReservoir Simulation is used to manage underground oil reservoirs, and the potential cost savings associated with increased oil recovery are enormous. Because of the mathematical complexity of simulation it is necessary to use graphics to view the results.
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Preconditioners for Parallel Reservoir Simulation

Proceedings of the International Conference on High Performance Compilation, Computing and Communications, 2017
One of the standard preconditioners on reservoir simulation is incomplete LU (ILU, 'LU' stands for 'lower upper') decomposition. The matrix is factored by the product of a lower triangular matrix and an upper triangular matrix. Unfortunately, in parallel environments, ILU decomposition is serial for the solving process is Gaussian elimination which ...
Zhuo Tian, Bei Wang, Yifeng Chen
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A Massively Parallel Reservoir Simulator for Large Scale Reservoir Simulation

SPE Reservoir Simulation Symposium, 1999
Abstract A Massively Parallel reservoir simulator (POWERS) has been developed and fully integrated with Suadi Aramco's pre and post processing graphical environment. The simulator has been validated against published results and other industrial simulators.
A.H. Dogru, K.G. Li, H.A. Sunaidi, W.A. Habiballah, L. Fung, N. Al-Zamil, D. Shin, A.E. McDonald, N.K. Srivastava   +8 more
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