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Characterizing and Modeling Fracture Network using Microseismic Data: in Unconventional Reservoirs - Softcover
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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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Über die Autorin bzw. den Autor
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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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783639705072
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Characterizing and Modeling Fracture Network using Microseismic Data: in Unconventional Reservoirs
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Zustand: New. pp. 188. Bestandsnummer des Verkäufers 26374202309
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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. Zustand: 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. Bestandsnummer des Verkäufers 105535394
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Characterizing and Modeling Fracture Network using Microseismic Data: in Unconventional Reservoirs
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Zustand: New. PRINT ON DEMAND pp. 188. Bestandsnummer des Verkäufers 18374202319
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Characterizing and Modeling Fracture Network using Microseismic Data
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783639705072
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Characterizing and Modeling Fracture Network using Microseismic Data : in Unconventional Reservoirs
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783639705072
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