Tracer Flow Modeling and Efficient Solvers for GPRS

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Abstract/Contents

Abstract
Reservoir simulators solve equations of fluid flow in porous media on computers to mimic the behavior of petroleum reservoirs. They form one of the most important branches of petroleum reservoir engineering. Aziz and Setatri (1979) summarized the work in the field in their book Petroleum Reservoir Simulation. With the dramatic increase in computational speed, and the emergence of new solution techniques, reservoir simulators have turned out to be one of the most powerful tools to manage petroleum reservoirs. Now, in industry, there are many mature commercial and in-house reservoir simulators,such as Eclipse of Schlumberger, Chears of Chevron-Texaco, Imax of ComputerModeling Group, etc. However, the source codes of these commercial simulators are not available to other researchers, which makes it difficult to test new ideas timely. Cao (2002) developed General Purpose Research Simulator (GPRS) as part of his Ph.D.research. His objective was to produce a simulator that it could be used later by a large research group to preserve and enhance the work of several investigators. Cao (2002) tested GPRS with several problems. Recently a test project was carried out atStanford University by Pan (2003) to further evaluate the performance of GPRS. All of these tests show that GPRS is a well-designed, robust simulator. However, GPRS is still young and many necessary options are absent at present. Furthermore, the overall performance is not as good as that of other more mature simulators. In this report, we introduce the implementation of a high order technique known as the Total Variance Diminishing (TVD) method for tracer flow simulation. In addition, we investigate the properties of pressure matrix and three kinds of preconditioners and attempt to improve the efficiency of the simulation by improving the performance of the linear solvers used in the simulator, which is the primary topic of this report. As a result of this investigation,huge improvements in the solver performance have been achieved.

Description

Type of resource text
Date created June 2004

Creators/Contributors

Author Jiang, Yuanlin
Primary advisor Aziz, Khalid
Advisor Tchelepi, Hamdi
Degree granting institution Stanford University, Department of Petroleum Engineering

Subjects

Subject School of Earth Energy & Environmental Sciences
Genre Thesis

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User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.

Preferred citation

Preferred Citation
Jiang, Yuanlin. (2004). Tracer Flow Modeling and Efficient Solvers for GPRS. Stanford Digital Repository. Available at: https://purl.stanford.edu/fv806bb5208

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Master's Theses, Doerr School of Sustainability

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