Results 261 to 270 of about 273,148 (304)
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Improved Reservoir Management Through Ranking Stochastic Reservoir Models
SPE/DOE Improved Oil Recovery Symposium, 1996Abstract Significant uncertainty exists in the detailed 3-D distribution of lithofacies, porosity, and permeability in every reservoir. Understanding and modeling the heterogeneous 3-D distribution of these rock properties is critical for improved oil recovery and reservoir management.
Clayton Deutsch, Sanjay Srinivasan
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An Efficient Semianalytic Reservoir Model for Complex Reservoirs
SPE Production Operations Symposium, 1993Abstract This paper presents a summary of the development of a semi-analytic reservoir model for gas reservoirs with various reservoir complexities. The types of reservoir complexities that have been considered in this study include; multiple reservoir layers in which the reservoir layers may be infinite or finite in extent, dual or ...
Poe B.D., H.G. Dube, S.A. Holditch
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Mathematical Modeling Anticline Reservoirs
14th International Congress of the Brazilian Geophysical Society & EXPOGEF, Rio de Janeiro, Brazil, 3-6 August 2015, 2015High and low pressure zones work as natural suction pumps for oil and gas accumulation. In order to localize low pressures zones in sedimentary basins for oil and gas exploration, it is necessary to know P and S wave velocities for the medium. Also, strictly speaking, we need to know the rock densities for all layers, and consider that there are many ...
Lourenildo W. B. Leite +2 more
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Surrogate Reservoir Model for Average Reservoir Pressure
2017Reservoir models comprise of number of grid blocks, multiple layers and production/injection wells. Reservoir models also contain a number of different characteristics in its structure. Such as gas-oil ratio, water/oil saturation, permeability and volume factor, etc.
Paras Q. Memon +2 more
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SPE Annual Technical Conference and Exhibition, 2004
Abstract Over the last twenty or more years of reservoir performance prediction through simulation there have been only two fundamental changes. First was the evolutionary increase in computing speed that has allowed larger, more detailed reservoir models to be built.
G.J.J. Williams +3 more
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Abstract Over the last twenty or more years of reservoir performance prediction through simulation there have been only two fundamental changes. First was the evolutionary increase in computing speed that has allowed larger, more detailed reservoir models to be built.
G.J.J. Williams +3 more
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Geostatistical Reservoir Modeling
2002Abstract This book brings the practice of petroleum geostatistics into a coherent framework, focusing on tools, techniques, examples, and guidance. It emphasizes the interaction between geophysicists, geologists, and engineers. Intended as a reference text for practitioners, the book is also appropriate for "short courses" and advanced ...
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2019
The chapter starts by explaining how petroleum reservoirs are formed and gives a brief introduction to various concepts from geology to non-geologists. Next, we discuss the continuum hypothesis and how flow through subsurface porous media is modeled on different spatial scales.
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The chapter starts by explaining how petroleum reservoirs are formed and gives a brief introduction to various concepts from geology to non-geologists. Next, we discuss the continuum hypothesis and how flow through subsurface porous media is modeled on different spatial scales.
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Uncertainties in Reservoir Fluid Description for Reservoir Modeling
SPE Reservoir Evaluation & Engineering, 1999Summary The objective of the present paper is to communicate the basic knowledge needed for estimating the uncertainty in reservoir fluid parameters for prospects, discoveries, and producing oil and gas/condensate fields. Uncertainties associated with laboratory analysis, fluid sampling, process description, and variations over the ...
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Introduction to Reservoir Modelling
2015This chapter gives the reader an overview of the basic elements in reservoir modelling, and provides the input for a new chapter in next revision of Knut Bjorlykke’s book Petroleum Geoscience (Bjorlykke 2010).
Jan C. Rivenæs +2 more
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
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