Stochastic methods for petroleum reservoir characterization and production forecasting.
نویسندگان
چکیده
منابع مشابه
Gridding for Petroleum Reservoir Simulation
We consider optimization of computational grids for petroleum reservoir flow simulations. In this context grid quality is determined by two independent error sources. On the one hand there is a loss of precision caused by upscaling of geological data from the fine geological grid to the coarser computational grid, and on the other hand there are numerical errors induced by a non-regular computa...
متن کاملA Parallel Stochastic Framework for Reservoir Characterization and History Matching
1 Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA 2 Chevron ETC, San Ramon, CA 94583, USA 3 ConocoPhillips, Houston, TX 77252, USA 4 Institute for Computational Engineering and Sciences, Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, Austin, TX 78712, USA 5 Department of Petroleum a...
متن کاملOil Reservoir Production Forecasting with Uncertainty Estimation Using Genetic Algorithms
A genetic algorithm is applied to the problem of conditioning the petrophysical rock properties of a reservoir model on historic production data. This is a difficult optimization problem where each evaluation of the objective function implies a flow simulation of the whole reservoir. Due to the high computing cost of this function, it is imperative to make use of an efficient optimization metho...
متن کاملReservoir characterization using stochastic initializations and the level set method
In this work we present a novel level set technique for shape reconstruction in history matching for reservoirs with two or more kinds of rocks (the so-called lithofacies) using stochastic initializations. In the paper we discuss the use of sequential Gaussian simulation for the creation of geostatistical initial guesses which will then be applied to an earlier introduced level set based shape ...
متن کاملCHARACTERIZATION OF METAGENOMIC SEQUENCES FROM A BRAZILIAN PETROLEUM RESERVOIR WITH POTENTIAL FOR HYDROCARBON BIODEGRADATION Author(s)
Alkanes are the major components of crude oil and the most abundant and available carbon and energy sources in reservoirs. Microorganisms are common inhabitants of these environments and may have effective biodegrading strategies, based on specialized enzyme systems and metabolic pathways, as a form to access hydrocarbons as carbon and energy sources. However, the current knowledge of the micro...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Japanese Association for Petroleum Technology
سال: 1996
ISSN: 1881-4131,0370-9868
DOI: 10.3720/japt.61.537