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A parallel stochastic framework for reservoir characterization and history matching
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نویسنده
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thomas s.g. ,klie h.m. ,rodriguez a.a. ,wheeler m.f.
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منبع
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journal of applied mathematics - 2011 - دوره : 2011 - شماره : 0
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چکیده
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The spatial distribution of parameters that characterize the subsurface is never known to any reasonable level of accuracy required to solve the governing pdes of multiphase flow or species transport through porous media. this paper presents a numerically cheap,yet efficient,accurate and parallel framework to estimate reservoir parameters,for example,medium permeability,using sensor information from measurements of the solution variables such as phase pressures,phase concentrations,fluxes,and seismic and well log data. numerical results are presented to demonstrate the method. copyright © 2011 sunil g. thomas et al.
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آدرس
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institute for computational engineering and sciences,university of texas at austin,austin,tx 78712,united states,chevron etc,san ramon, United States, institute for computational engineering and sciences,university of texas at austin,austin,tx 78712,united states,conocophillips,houston, United States, institute for computational engineering and sciences,university of texas at austin,austin,tx 78712,united states,conocophillips,houston, United States, institute for computational engineering and sciences,department of aerospace engineering and engineering mechanics,university of texas at austin,austin,tx 78712,united states,department of petroleum and geosystems engineering,university of texas at austin,austin, United States
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Authors
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