Soft Computing Reservoir Characterization (20 results)

Paperback. Condition: Brand New. 256 pages. 8.66x5.91x0.58 inches. In Stock.

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Hardcover. Condition: Brand New. 1st edition. 586 pages. 9.75x6.50x1.00 inches. In Stock.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Production forecasting and reservoir modeling play vital roles in optimal field development plan and management of petroleum reservoirs. This motivates engineers to develop computationally efficient and fast numerical methods capable of constructing history matched reservoir models producing reliable production forecasts. Relatively two new soft computing techniques successfully applied for automatic history matching and production forecasting. The first approach is artificial neural networks (ANN) based modeling, and the 2nd is genetic algorithm (GA) based optimization. A higher-order neural network (HONN) with higher-order synaptic operation (HOSO) architecture that embeds linear (conventional), quadratic (QSO) and cubic synaptic operations (CSO) used for forecasting real field oil production. For automatic history matching problem through reservoir characterization, a global optimization method called adaptive genetic algorithm (AGA) was employed. Adaptive genetic operators of AGA dynamically adjusts control parameters during evolution. The performance of both soft computing methods in achieving fast convergence rate and reduced computational efforts are presented in this book. 256 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Production forecasting and reservoir modeling play vital roles in optimal field development plan and management of petroleum reservoirs. This motivates engineers to develop computationally efficient and fast numerical methods capable of constructing history matched reservoir models producing reliable production forecasts. Relatively two new soft computing techniques successfully applied for automatic history matching and production forecasting. The first approach is artificial neural networks (ANN) based modeling, and the 2nd is genetic algorithm (GA) based optimization. A higher-order neural network (HONN) with higher-order synaptic operation (HOSO) architecture that embeds linear (conventional), quadratic (QSO) and cubic synaptic operations (CSO) used for forecasting real field oil production. For automatic history matching problem through reservoir characterization, a global optimization method called adaptive genetic algorithm (AGA) was employed. Adaptive genetic operators of AGA dynamically adjusts control parameters during evolution. The performance of both soft computing methods in achieving fast convergence rate and reduced computational efforts are presented in this book.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chakra N C ChithraDr. Chithra Chakra holds Ph.D. in Computer Science & Engineering from University of Petroleum & Energy Studies, India, working as Research Engineer in ADRIC- The Petroleum Institute, Abu Dhabi. Her research focus on.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. General overview of soft computing techniques and their application in reservoir modeling practicesFirst specialized book on the topicGeneral overview of soft computing techniques and their application in reservoir modeling practicesFirst .

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the middle of the 20th century, Genrich Altshuller, a Russian engineer, analysed hundreds of thousands of patents and scientific publications. From this analysis, he developed TRIZ (G. Altshuller, '40 Principles: TRIZ Keys to Technical Innovation. TRIZ Tools,' Volume 1, First Edition, Technical Innovation Center, Inc. , Worcester, MA, January 1998; Y. Salamatov, 'TRIZ: The Right Solution at the Right Time. A Guide to Innovative Problem Solving. ' Insytec B. V. , 1999), the theory of inventive problem solving, together with a series of practical tools for helping engineers solving technical problems. Among these tools and theories, the substance-field theory gives a structured way of representing problems, the patterns of evolution show the lifecycle of technical systems, the contradiction matrix tells you how to resolve technical contradictions, using the forty principles that describe common ways of improving technical systems. For example, if you want to increase the strength of a device, without adding too much extra weight to it, the contradiction matrix tells you that you can use 'Principle 1: Segmentation,' or 'Principle 8: Counterweight,' or 'Principle 15: Dynamicity,' or 'Principle 40: Composite Materials. ' I really like two particular ones: 'Principle 1: Segmentation,' and Principle 15: Dynamicity. ' 'Segmentation' shows how systems evolve from an initial monolithic form into a set of independent parts, then eventually increasing the number of parts until each part becomes small enough that it cannot be identified anymore. 604 pp. Englisch.

Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. General overview of soft computing techniques and their application in reservoir modeling practicesFirst specialized book on the topicGeneral overview of soft computing techniques and their application in reservoir modeling practicesFirst .

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the middle of the 20th century, Genrich Altshuller, a Russian engineer, analysed hundreds of thousands of patents and scientific publications. From this analysis, he developed TRIZ (G. Altshuller, '40 Principles: TRIZ Keys to Technical Innovation. TRIZ Tools,' Volume 1, First Edition, Technical Innovation Center, Inc. , Worcester, MA, January 1998; Y. Salamatov, 'TRIZ: The Right Solution at the Right Time. A Guide to Innovative Problem Solving. ' Insytec B. V. , 1999), the theory of inventive problem solving, together with a series of practical tools for helping engineers solving technical problems. Among these tools and theories, the substance-field theory gives a structured way of representing problems, the patterns of evolution show the lifecycle of technical systems, the contradiction matrix tells you how to resolve technical contradictions, using the forty principles that describe common ways of improving technical systems. For example, if you want to increase the strength of a device, without adding too much extra weight to it, the contradiction matrix tells you that you can use 'Principle 1: Segmentation,' or 'Principle 8: Counterweight,' or 'Principle 15: Dynamicity,' or 'Principle 40: Composite Materials. ' I really like two particular ones: 'Principle 1: Segmentation,' and Principle 15: Dynamicity. ' 'Segmentation' shows how systems evolve from an initial monolithic form into a set of independent parts, then eventually increasing the number of parts until each part becomes small enough that it cannot be identified anymore.

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the middle of the 20th century, Genrich Altshuller, a Russian engineer, analysed hundreds of thousands of patents and scientific publications. From this analysis, he developed TRIZ (G. Altshuller, '40 Principles: TRIZ Keys to Technical Innovation. TRIZ Tools,' Volume 1, First Edition, Technical Innovation Center, Inc. , Worcester, MA, January 1998; Y. Salamatov, 'TRIZ: The Right Solution at the Right Time. A Guide to Innovative Problem Solving. ' Insytec B. V. , 1999), the theory of inventive problem solving, together with a series of practical tools for helping engineers solving technical problems. Among these tools and theories, the substance-field theory gives a structured way of representing problems, the patterns of evolution show the lifecycle of technical systems, the contradiction matrix tells you how to resolve technical contradictions, using the forty principles that describe common ways of improving technical systems. For example, if you want to increase the strength of a device, without adding too much extra weight to it, the contradiction matrix tells you that you can use 'Principle 1: Segmentation,' or 'Principle 8: Counterweight,' or 'Principle 15: Dynamicity,' or 'Principle 40: Composite Materials. ' I really like two particular ones: 'Principle 1: Segmentation,' and Principle 15: Dynamicity. ' 'Segmentation' shows how systems evolve from an initial monolithic form into a set of independent parts, then eventually increasing the number of parts until each part becomes small enough that it cannot be identified anymore. 586 pp. Englisch.

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the middle of the 20th century, Genrich Altshuller, a Russian engineer, analysed hundreds of thousands of patents and scientific publications. From this analysis, he developed TRIZ (G. Altshuller, '40 Principles: TRIZ Keys to Technical Innovation. TRIZ Tools,' Volume 1, First Edition, Technical Innovation Center, Inc. , Worcester, MA, January 1998; Y. Salamatov, 'TRIZ: The Right Solution at the Right Time. A Guide to Innovative Problem Solving. ' Insytec B. V. , 1999), the theory of inventive problem solving, together with a series of practical tools for helping engineers solving technical problems. Among these tools and theories, the substance-field theory gives a structured way of representing problems, the patterns of evolution show the lifecycle of technical systems, the contradiction matrix tells you how to resolve technical contradictions, using the forty principles that describe common ways of improving technical systems. For example, if you want to increase the strength of a device, without adding too much extra weight to it, the contradiction matrix tells you that you can use 'Principle 1: Segmentation,' or 'Principle 8: Counterweight,' or 'Principle 15: Dynamicity,' or 'Principle 40: Composite Materials. ' I really like two particular ones: 'Principle 1: Segmentation,' and Principle 15: Dynamicity. ' 'Segmentation' shows how systems evolve from an initial monolithic form into a set of independent parts, then eventually increasing the number of parts until each part becomes small enough that it cannot be identified anymore.