A Systems Description of Flow Through Porous Media

Nonfiction, Science & Nature, Mathematics, Applied, Science, Earth Sciences
Cover of the book A Systems Description of Flow Through Porous Media by Jan Dirk Jansen, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Jan Dirk Jansen ISBN: 9783319002606
Publisher: Springer International Publishing Publication: May 23, 2013
Imprint: Springer Language: English
Author: Jan Dirk Jansen
ISBN: 9783319002606
Publisher: Springer International Publishing
Publication: May 23, 2013
Imprint: Springer
Language: English

This text forms part of material taught during a course in advanced reservoir simulation at Delft University of Technology over the past 10 years. The contents have also been presented at various short courses for industrial and academic researchers interested in background knowledge needed to perform research in the area of closed-loop reservoir management, also known as smart fields, related to e.g. model-based production optimization, data assimilation (or history matching), model reduction, or upscaling techniques. Each of these topics has connections to system-theoretical concepts.
The introductory part of the course, i.e. the systems description of flow through porous media, forms the topic of this brief monograph. The main objective is to present the classic reservoir simulation equations in a notation that facilitates the use of concepts from the systems-and-control literature. Although the theory is limited to the relatively simple situation of horizontal two-phase (oil-water) flow, it covers several typical aspects of porous-media flow.
The first chapter gives a brief review of the basic equations to represent single-phase and two-phase flow. It discusses the governing partial-differential equations, their physical interpretation, spatial discretization with finite differences, and the treatment of wells. It contains well-known theory and is primarily meant to form a basis for the next chapter where the equations will be reformulated in terms of systems-and-control notation.
The second chapter develops representations in state-space notation of the porous-media flow equations. The systematic use of matrix partitioning to describe the different types of inputs leads to a description in terms of nonlinear ordinary-differential and algebraic equations with (state-dependent) system, input, output and direct-throughput matrices. Other topics include generalized state-space representations, linearization, elimination of prescribed pressures, the tracing of stream lines, lift tables, computational aspects, and the derivation of an energy balance for porous-media flow.
The third chapter first treats the analytical solution of linear systems of ordinary differential equations for single-phase flow. Next it moves on to the numerical solution of the two-phase flow equations, covering various aspects like implicit, explicit or mixed (IMPES) time discretizations and associated stability issues, Newton-Raphson iteration, streamline simulation, automatic time-stepping, and other computational aspects. The chapter concludes with simple numerical examples to illustrate these and other aspects such as mobility effects, well-constraint switching, time-stepping statistics, and system-energy accounting.
The contents of this brief should be of value to students and researchers interested in the application of systems-and-control concepts to oil and gas reservoir simulation and other applications of subsurface flow simulation such as CO2 storage, geothermal energy, or groundwater remediation.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This text forms part of material taught during a course in advanced reservoir simulation at Delft University of Technology over the past 10 years. The contents have also been presented at various short courses for industrial and academic researchers interested in background knowledge needed to perform research in the area of closed-loop reservoir management, also known as smart fields, related to e.g. model-based production optimization, data assimilation (or history matching), model reduction, or upscaling techniques. Each of these topics has connections to system-theoretical concepts.
The introductory part of the course, i.e. the systems description of flow through porous media, forms the topic of this brief monograph. The main objective is to present the classic reservoir simulation equations in a notation that facilitates the use of concepts from the systems-and-control literature. Although the theory is limited to the relatively simple situation of horizontal two-phase (oil-water) flow, it covers several typical aspects of porous-media flow.
The first chapter gives a brief review of the basic equations to represent single-phase and two-phase flow. It discusses the governing partial-differential equations, their physical interpretation, spatial discretization with finite differences, and the treatment of wells. It contains well-known theory and is primarily meant to form a basis for the next chapter where the equations will be reformulated in terms of systems-and-control notation.
The second chapter develops representations in state-space notation of the porous-media flow equations. The systematic use of matrix partitioning to describe the different types of inputs leads to a description in terms of nonlinear ordinary-differential and algebraic equations with (state-dependent) system, input, output and direct-throughput matrices. Other topics include generalized state-space representations, linearization, elimination of prescribed pressures, the tracing of stream lines, lift tables, computational aspects, and the derivation of an energy balance for porous-media flow.
The third chapter first treats the analytical solution of linear systems of ordinary differential equations for single-phase flow. Next it moves on to the numerical solution of the two-phase flow equations, covering various aspects like implicit, explicit or mixed (IMPES) time discretizations and associated stability issues, Newton-Raphson iteration, streamline simulation, automatic time-stepping, and other computational aspects. The chapter concludes with simple numerical examples to illustrate these and other aspects such as mobility effects, well-constraint switching, time-stepping statistics, and system-energy accounting.
The contents of this brief should be of value to students and researchers interested in the application of systems-and-control concepts to oil and gas reservoir simulation and other applications of subsurface flow simulation such as CO2 storage, geothermal energy, or groundwater remediation.

More books from Springer International Publishing

Cover of the book Computational Intelligence in Music, Sound, Art and Design by Jan Dirk Jansen
Cover of the book Climate Change, Glacier Response, and Vegetation Dynamics in the Himalaya by Jan Dirk Jansen
Cover of the book Gaussian Capacity Analysis by Jan Dirk Jansen
Cover of the book 2nd International Conference on Wireless Intelligent and Distributed Environment for Communication by Jan Dirk Jansen
Cover of the book Thermal Energy Storage with Phase Change Materials by Jan Dirk Jansen
Cover of the book Management and Marketing of Wine Tourism Business by Jan Dirk Jansen
Cover of the book Chemistry Beyond Chlorine by Jan Dirk Jansen
Cover of the book Simple Mathematical Models of Gene Regulatory Dynamics by Jan Dirk Jansen
Cover of the book Handbook of the Sociology of Education in the 21st Century by Jan Dirk Jansen
Cover of the book Screen Society by Jan Dirk Jansen
Cover of the book Leadership in Surgery by Jan Dirk Jansen
Cover of the book Anatomy of the Superhero Film by Jan Dirk Jansen
Cover of the book Complexity, Cognition, Urban Planning and Design by Jan Dirk Jansen
Cover of the book Designing and Managing Industrial Product-Service Systems by Jan Dirk Jansen
Cover of the book Cybersecurity in Israel by Jan Dirk Jansen
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy