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Characterizing and Modeling Fracture Network using Microseismic Data: in Unconventional Reservoirs - Softcover
Synopsis
In this book, we present a comprehensive workflow for characterizing and modeling a fracture network in unconventional reservoirs, using microseismic data. The methodology is based on combination of several mathematical and artificial intelligent techniques. This book contributes to scholarly knowledge base on the modeling fractured reservoirs in several ways; unlike the existing methods, the new approach is not dependent on the location of events. It offers an improved procedure to create compressional and shear velocity models as a preamble for delineating anomalies and map structures of interest and to correlate velocity anomalies with fracture swarms. It also offers an effective way to obtain the fractal dimension of microseismic events and identify the pattern complexity, connectivity, and mechanism of the created fracture network. In final chapter, we Introduce a newly developed MDFN approach that allows to create a discrete fracture network model using only microseismic data with potential cost reduction. It also imposes fractal dimension as a constraint on other fracture modeling, which increases the visual similarity between the modeled networks and the real network.
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About the Author
Dr. Tayeb Ayat is a staff reservoir engineer at Occidental Petroleum Corporation. He is a graduate of Sharif University of Technology with BS in both Petroleum and Civil Engineering and a MS in Offshore Engineering. He is also a graduate of University of Southern California with MS and PhD in Petroleum Engineering.
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Characterizing and Modeling Fracture Network using Microseismic Data
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ISBN 10: 3639705076
ISBN 13: 9783639705072
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, we present a comprehensive workflow for characterizing and modeling a fracture network in unconventional reservoirs, using microseismic data. The methodology is based on combination of several mathematical and artificial intelligent techniques. This book contributes to scholarly knowledge base on the modeling fractured reservoirs in several ways; unlike the existing methods, the new approach is not dependent on the location of events. It offers an improved procedure to create compressional and shear velocity models as a preamble for delineating anomalies and map structures of interest and to correlate velocity anomalies with fracture swarms. It also offers an effective way to obtain the fractal dimension of microseismic events and identify the pattern complexity, connectivity, and mechanism of the created fracture network. In final chapter, we Introduce a newly developed MDFN approach that allows to create a discrete fracture network model using only microseismic data with potential cost reduction. It also imposes fractal dimension as a constraint on other fracture modeling, which increases the visual similarity between the modeled networks and the real network. 188 pp. Englisch. Seller Inventory # 9783639705072
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Characterizing and Modeling Fracture Network using Microseismic Data: in Unconventional Reservoirs
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Characterizing and Modeling Fracture Network using Microseismic Data: in Unconventional Reservoirs
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Characterizing and Modeling Fracture Network using Microseismic Data | in Unconventional Reservoirs
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Taschenbuch. Condition: Neu. Characterizing and Modeling Fracture Network using Microseismic Data | in Unconventional Reservoirs | Tayeb Ayat | Taschenbuch | 188 S. | Englisch | 2013 | Scholars' Press | EAN 9783639705072 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 105535394
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Characterizing and Modeling Fracture Network using Microseismic Data
Published by
Scholars' Press Dez 2013, 2013
ISBN 10: 3639705076
ISBN 13: 9783639705072
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book, we present a comprehensive workflow for characterizing and modeling a fracture network in unconventional reservoirs, using microseismic data. The methodology is based on combination of several mathematical and artificial intelligent techniques. This book contributes to scholarly knowledge base on the modeling fractured reservoirs in several ways; unlike the existing methods, the new approach is not dependent on the location of events. It offers an improved procedure to create compressional and shear velocity models as a preamble for delineating anomalies and map structures of interest and to correlate velocity anomalies with fracture swarms. It also offers an effective way to obtain the fractal dimension of microseismic events and identify the pattern complexity, connectivity, and mechanism of the created fracture network. In final chapter, we Introduce a newly developed MDFN approach that allows to create a discrete fracture network model using only microseismic data with potential cost reduction. It also imposes fractal dimension as a constraint on other fracture modeling, which increases the visual similarity between the modeled networks and the real network.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 188 pp. Englisch. Seller Inventory # 9783639705072
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Characterizing and Modeling Fracture Network using Microseismic Data: in Unconventional Reservoirs
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Characterizing and Modeling Fracture Network using Microseismic Data : in Unconventional Reservoirs
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, we present a comprehensive workflow for characterizing and modeling a fracture network in unconventional reservoirs, using microseismic data. The methodology is based on combination of several mathematical and artificial intelligent techniques. This book contributes to scholarly knowledge base on the modeling fractured reservoirs in several ways; unlike the existing methods, the new approach is not dependent on the location of events. It offers an improved procedure to create compressional and shear velocity models as a preamble for delineating anomalies and map structures of interest and to correlate velocity anomalies with fracture swarms. It also offers an effective way to obtain the fractal dimension of microseismic events and identify the pattern complexity, connectivity, and mechanism of the created fracture network. In final chapter, we Introduce a newly developed MDFN approach that allows to create a discrete fracture network model using only microseismic data with potential cost reduction. It also imposes fractal dimension as a constraint on other fracture modeling, which increases the visual similarity between the modeled networks and the real network. Seller Inventory # 9783639705072
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