Book description
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.
Table of contents
- Preface
- Chapter 1: Fundamentals of Soft Computing
-
Chapter 2: Data Management
- Exploration and Production Value Proposition
- Data Management Platform
- Array of Data Repositories
- Structured Data and Unstructured Data
- Extraction, Transformation, and Loading Processes
- Big Data Big Analytics
- Standard Data Sources
- Case Study: Production Data Quality Control Framework
- Best Practices
- Notes
- Chapter 3: Seismic Attribute Analysis
- Chapter 4: Reservoir Characterization and Simulation
- Chapter 5: Drilling and Completion Optimization
- Chapter 6: Reservoir Management
- Chapter 7: Production Forecasting
- Chapter 8: Production Optimization
- Chapter 9: Exploratory and Predictive Data Analysis
- Chapter 10: Big Data: Structured and Unstructured
- Glossary
- About the Author
- Index
- End User License Agreement
Product information
- Title: Harness Oil and Gas Big Data with Analytics: Optimize Exploration and Production with Data Driven Models
- Author(s):
- Release date: May 2014
- Publisher(s): Wiley
- ISBN: 9781118779316
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