Soft Computing And Intelligent Data Analysis In Oil Exploration

Download Read Online Soft Computing And Intelligent Data Analysis In Oil Exploration book
Author: M. Nikravesh
Publisher: Elsevier
ISBN: 9780080541327
Size: 25.12 MB
Format: PDF, Kindle
View: 1306

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.

Harness Oil And Gas Big Data With Analytics

Download Read Online Harness Oil And Gas Big Data With Analytics book
Author: Keith Holdaway
Publisher: John Wiley & Sons
ISBN: 1118910893
Size: 22.75 MB
Format: PDF, ePub, Docs
View: 1487

Harness Oil And Gas Big Data With Analytics by Keith Holdaway


Original Title: Harness Oil And Gas Big Data With Analytics

Use big data analytics to efficiently drive oil and gas exploration and production Harness Oil and Gas Big Data with Analytics provides a complete view of big data and analytics techniques as they are applied to the oil and gas industry. Including a compendium of specific case studies, the book underscores the acute need for optimization in the oil and gas exploration and production stages and shows how data analytics can provide such optimization. This spans exploration, development, production and rejuvenation of oil and gas assets. The book serves as a guide for fully leveraging data, statistical, and quantitative analysis, exploratory and predictive modeling, and fact-based management to drive decision making in oil and gas operations. This comprehensive resource delves into the three major issues that face the oil and gas industry during the exploration and production stages: Data management, including storing massive quantities of data in a manner conducive to analysis and effectively retrieving, backing up, and purging data Quantification of uncertainty, including a look at the statistical and data analytics methods for making predictions and determining the certainty of those predictions Risk assessment, including predictive analysis of the likelihood that known risks are realized and how to properly deal with unknown risks Covering the major issues facing the oil and gas industry in the exploration and production stages, Harness Big Data with Analytics reveals how to model big data to realize efficiencies and business benefits.

Advances In Neural Networks Isnn 2005

Download Read Online Advances In Neural Networks Isnn 2005 book
Author: Jun Wang
Publisher: Springer
ISBN:
Size: 17.31 MB
Format: PDF, Mobi
View: 2449

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

Download Read Online Fuzzy Partial Differential Equations And Relational Equations book
Author: Masoud Nikravesh
Publisher: Springer Science & Business Media
ISBN: 9783540203223
Size: 77.40 MB
Format: PDF, Kindle
View: 6480

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.

Recent Books :