ISBN 9788126550913,Harness Oil and Gas Big Data with Analytics

Harness Oil and Gas Big Data with Analytics

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ISBN 9788126550913
Publisher

Wiley India Pvt Ltd

Publication Year 2014
ISBN-13

ISBN 9788126550913

ISBN-10 8126550910
Binding

Hard Back

Number of Pages 376 Pages
Language (English)
Subject

Programming

This book provides a general description of soft computing techniques (e.g., analytics) implemented across different industries. It covers the three major issues facing the oil and gas industry in the exploration and production stages: (1) data management, (2) quantification of uncertainty, and (3) risk assessment. In addition, it discusses exploration, appraisal, development and production stages through real and imaginary but plausible projects with case studies. This book shows how to model big data with analytics to highlight business benefits. Was this product information helpful? Yes No TABLE OF CONTENTS Chapter 1 - Fundamentals of Soft Computing Current Landscape in Upstream Data Analysis Evolution from Plato to Aristotle Descriptive and Predictive Models The SEMMA Process High-Performance Analytics Three Tenets of Upstream Data Exploration and Production Value Propositions Oilfield Analytics I am a. . . Notes 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 Exploration and Production Value Propositions Time-Lapse Seismic Exploration Seismic Attributes Reservoir Characterization Reservoir Management Seismic Trace Analysis Case Study: Reservoir Properties Defined by Seismic Attributes Notes Chapter 4 - Reservoir Characterization and Simulation Exploration and Production Value Propositions Exploratory Data Analysis Reservoir Characterization Cycle Traditional Data Analysis Reservoir Simulation Models Case Studies Notes Chapter 5 - Drilling and Completion Optimization Exploration and Production Value Propositions Work flow One: Mitigation of Nonproductive Time Work flow Two: Drilling Parameter Optimization Case Studies Notes Chapter 6 - Reservoir Management Exploration and Production Value Propositions Digital Oilfield of the Future Analytical Center of Excellence Analytical Work flows: Best Practices Case Studies Notes Chapter 7 - Production Forecasting Exploration and Production Value Propositions Web-Based Decline Curve Analysis Solution Unconventional Reserves Estimation Case Study: Oil Production Prediction for Infill Well Notes Chapter 8 - Production Optimization Exploration and Production Value Propositions Case Studies 2 Notes Chapter 9 - Exploratory and Predictive Data Analysis Exploration and Production Value Propositions EDA Components EDA Statistical Graphs and Plots Ensemble Segmentation's Data Visualization Case Studies Notes Chapter 10 - Big Data: Structured and Unstructured Exploration and Production Value Propositions Hybrid Expert and Data-Driven System Case Studies Multivariate Geo statistics Big Data Work flows Integration of Soft Computing Techniques Notes Glossary
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