Soft Computing And Intelligent Data Analysis In Oil Exploration

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Author: M. Nikravesh
Publisher: Elsevier
ISBN: 9780080541327
Size: 78.44 MB
Format: PDF, Mobi
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Soft Computing And Intelligent Data Analysis In Oil Exploration by M. Nikravesh


Original Title: Soft Computing And Intelligent Data Analysis In Oil Exploration

This comprehensive book highlights soft computing and geostatistics applications in hydrocarbon exploration and production, combining practical and theoretical aspects. It spans a wide spectrum of applications in the oil industry, crossing many discipline boundaries such as geophysics, geology, petrophysics and reservoir engineering. It is complemented by several tutorial chapters on fuzzy logic, neural networks and genetic algorithms and geostatistics to introduce these concepts to the uninitiated. The application areas include prediction of reservoir properties (porosity, sand thickness, lithology, fluid), seismic processing, seismic and bio stratigraphy, time lapse seismic and core analysis. There is a good balance between introducing soft computing and geostatistics methodologies that are not routinely used in the petroleum industry and various applications areas. The book can be used by many practitioners such as processing geophysicists, seismic interpreters, geologists, reservoir engineers, petrophysicist, geostatistians, asset mangers and technology application professionals. It will also be of interest to academics to assess the importance of, and contribute to, R&D efforts in relevant areas.

Advances In Neural Networks Isnn 2005

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Author: Jun Wang
Publisher: Springer
ISBN:
Size: 31.60 MB
Format: PDF, Kindle
View: 7152

Advances In Neural Networks Isnn 2005 by Jun Wang


Original Title: Advances In Neural Networks Isnn 2005

The three volume set LNCS 3496/3497/3498 constitutes the refereed proceedings of the Second International Symposium on Neural Networks, ISNN 2005, held in Chongqing, China in May/June 2005. The 483 revised papers presented were carefully reviewed and selected from 1.425 submissions. The papers are organized in topical sections on theoretical analysis, model design, learning methods, optimization methods, kernel methods, component analysis, pattern analysis, systems modeling, signal processing, image processing, financial analysis, control systems, robotic systems, telecommunication networks, incidence detection, fault diagnosis, power systems, biomedical applications, industrial applications, and other applications.

Fuzzy Partial Differential Equations And Relational Equations

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Author: Masoud Nikravesh
Publisher: Springer Science & Business Media
ISBN: 9783540203223
Size: 77.58 MB
Format: PDF
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Fuzzy Partial Differential Equations And Relational Equations by Masoud Nikravesh


Original Title: Fuzzy Partial Differential Equations And Relational Equations

This monograph presents the latest advances of fuzzy logic and soft computing in reservoir characterization and modeling. It proposes for the first time that future develoments require perception-based information processing. The book presents important steps in this direction by introducing fuzzy partial differential equations and relational equations. It provides a unique opportunity for soft computing researchers and oil industry practitioners to understand the significance of the changes in the fields by presenting recent accomplishments and new directions.

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