Advanced Modelling With The Matlab Reservoir Simulation Toolbox
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Advanced Modelling with the MATLAB Reservoir Simulation Toolbox
Author | : Knut-Andreas Lie,Olav Møyner |
Publsiher | : Cambridge University Press |
Total Pages | : 625 |
Release | : 2021-11-25 |
Genre | : Business & Economics |
ISBN | : 9781316519967 |
Download Advanced Modelling with the MATLAB Reservoir Simulation Toolbox Book in PDF, Epub and Kindle
Presents advanced reservoir simulation methods used in the widely-used MRST open-source software for researchers, professionals, students.
An Introduction to Reservoir Simulation Using MATLAB GNU Octave
Author | : Knut-Andreas Lie |
Publsiher | : Cambridge University Press |
Total Pages | : 677 |
Release | : 2019-08-08 |
Genre | : Business & Economics |
ISBN | : 9781108492430 |
Download An Introduction to Reservoir Simulation Using MATLAB GNU Octave Book in PDF, Epub and Kindle
Presents numerical methods for reservoir simulation, with efficient implementation and examples using widely-used online open-source code, for researchers, professionals and advanced students. This title is also available as Open Access on Cambridge Core.
Advanced Modelling with the MATLAB Reservoir Simulation Toolbox
Author | : Knut-Andreas Lie,Olav Møyner |
Publsiher | : Unknown |
Total Pages | : 135 |
Release | : 2021-09 |
Genre | : Electronic Book |
ISBN | : 1009019783 |
Download Advanced Modelling with the MATLAB Reservoir Simulation Toolbox Book in PDF, Epub and Kindle
"Many leading experts contribute to this follow-up to An Introduction to Reservoir Simulation using MATLAB/GNU Octave: User Guide for the MATLAB Reservoir Simulation Toolbox (MRST). It introduces more advanced functionality that has been recently added to the open-source MRST software. It is however a self-contained introduction to a variety of modern numerical methods for simulating multiphase flow in porous media, with applications to geothermal energy, chemical enhanced oil recovery (EOR), flow in fractured and unconventional reservoirs, and in the unsaturated zone. The reader will learn how to implement new models and algorithms in a robust, efficient manner. A large number of numerical examples are included, all fully equipped with code and data so that the reader can reproduce the results and use them as a starting point for their own work. Like the original textbook, this book will prove invaluable for researchers, professionals and advanced students using reservoir simulation methods"--
Modeling and Simulation of Systems Using MATLAB and Simulink
Author | : Devendra K. Chaturvedi |
Publsiher | : CRC Press |
Total Pages | : 734 |
Release | : 2017-12-19 |
Genre | : Computers |
ISBN | : 9781439806739 |
Download Modeling and Simulation of Systems Using MATLAB and Simulink Book in PDF, Epub and Kindle
Not only do modeling and simulation help provide a better understanding of how real-world systems function, they also enable us to predict system behavior before a system is actually built and analyze systems accurately under varying operating conditions. Modeling and Simulation of Systems Using MATLAB® and Simulink® provides comprehensive, state-of-the-art coverage of all the important aspects of modeling and simulating both physical and conceptual systems. Various real-life examples show how simulation plays a key role in understanding real-world systems. The author also explains how to effectively use MATLAB and Simulink software to successfully apply the modeling and simulation techniques presented. After introducing the underlying philosophy of systems, the book offers step-by-step procedures for modeling different types of systems using modeling techniques, such as the graph-theoretic approach, interpretive structural modeling, and system dynamics modeling. It then explores how simulation evolved from pre-computer days into the current science of today. The text also presents modern soft computing techniques, including artificial neural networks, fuzzy systems, and genetic algorithms, for modeling and simulating complex and nonlinear systems. The final chapter addresses discrete systems modeling. Preparing both undergraduate and graduate students for advanced modeling and simulation courses, this text helps them carry out effective simulation studies. In addition, graduate students should be able to comprehend and conduct simulation research after completing this book.
Multiphase Flow in Permeable Media
Author | : Martin J. Blunt |
Publsiher | : Cambridge University Press |
Total Pages | : 503 |
Release | : 2017-02-16 |
Genre | : Science |
ISBN | : 9781107093461 |
Download Multiphase Flow in Permeable Media Book in PDF, Epub and Kindle
This book provides a fundamental description of multiphase fluid flow through porous rock, based on understanding movement at the pore, or microscopic, scale.
Value of Information in the Earth Sciences
Author | : Jo Eidsvik,Tapan Mukerji,Debarun Bhattacharjya |
Publsiher | : Cambridge University Press |
Total Pages | : 401 |
Release | : 2015-11-19 |
Genre | : Business & Economics |
ISBN | : 9781107040267 |
Download Value of Information in the Earth Sciences Book in PDF, Epub and Kindle
This book presents a unified framework for assessing the value of potential data-gathering schemes, with a focus on the Earth sciences.
Quantitative Structural Geology
Author | : David D. Pollard,Stephen J. Martel,Stephen Joseph Martel |
Publsiher | : Cambridge University Press |
Total Pages | : 453 |
Release | : 2020-07-23 |
Genre | : Science |
ISBN | : 9781107035065 |
Download Quantitative Structural Geology Book in PDF, Epub and Kindle
A pioneering single-semester undergraduate textbook that balances descriptive and quantitative analysis of geological structures.
Process Modelling and Simulation
Author | : César de Prada,Constantinos Pantelides,José Luis Pitarch |
Publsiher | : MDPI |
Total Pages | : 298 |
Release | : 2019-09-23 |
Genre | : Technology & Engineering |
ISBN | : 9783039214556 |
Download Process Modelling and Simulation Book in PDF, Epub and Kindle
Since process models are nowadays ubiquitous in many applications, the challenges and alternatives related to their development, validation, and efficient use have become more apparent. In addition, the massive amounts of both offline and online data available today open the door for new applications and solutions. However, transforming data into useful models and information in the context of the process industry or of bio-systems requires specific approaches and considerations such as new modelling methodologies incorporating the complex, stochastic, hybrid and distributed nature of many processes in particular. The same can be said about the tools and software environments used to describe, code, and solve such models for their further exploitation. Going well beyond mere simulation tools, these advanced tools offer a software suite built around the models, facilitating tasks such as experiment design, parameter estimation, model initialization, validation, analysis, size reduction, discretization, optimization, distributed computation, co-simulation, etc. This Special Issue collects novel developments in these topics in order to address the challenges brought by the use of models in their different facets, and to reflect state of the art developments in methods, tools and industrial applications.