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.
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Knut-Andreas Lie is Chief Scientist at SINTEF in Oslo, Norway, where he heads a research group in computational methods for geoscience applications. Over the last twenty years he has developed commercial and inhouse software solutions for the international petroleum industry. In particular, he is a founding father of two open-source community softwares: MRST and OPM. Lie holds a Ph.D. in mathematics from the Norwegian University of Science and Technology in Trondheim, where he also has a position as adjunct professor. He has authored 140 scientific papers and supervised sixty-five M.Sc. and Ph.D. students. He currently serves as Executive Editor for the SPE Journal of the Society of Petroleum Engineers.
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Hardcover. Zustand: new. Hardcover. This book provides a self-contained introduction to the simulation of flow and transport in porous media, written by a developer of numerical methods. The reader will learn how to implement reservoir simulation models and computational algorithms in a robust and efficient manner. The book contains a large number of numerical examples, all fully equipped with online code and data, allowing the reader to reproduce results, and use them as a starting point for their own work. All of the examples in the book are based on the MATLAB Reservoir Simulation Toolbox (MRST), an open-source toolbox popular popularity in both academic institutions and the petroleum industry. The book can also be seen as a user guide to the MRST software. It will prove invaluable for researchers, professionals and advanced students using reservoir simulation methods. This title is also available as Open Access on Cambridge Core. This book provides an introduction to reservoir simulation, by a simulator developer. It contains a large number of numerical examples, which come fully equipped with online open-source code, allowing the reader to reproduce results and experiment with their own work. This title is also available as Open Access on Cambridge Core. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781108492430
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