Harness Oil and Gas Big Data with Analytics: Optimize Exploration and Production with Data-Driven Models -- Copyright -- Contents -- Preface -- Chapter 1: Fundamentals of Soft Computing -- Current Landscape in Upstream Data Analysis -- Big Data: Definition -- First Principles -- Data-Driven Models -- Soft Computing Techniques -- Evolution from Plato to Aristotle -- Descriptive and Predictive Models -- The SEMMA Process -- High-Performance Analytics -- In-Memory Analytics -- In-Database Analytics -- Grid Computing -- Three Tenets of Upstream Data -- Data Management -- Quantification of Uncertainty -- Risk Assessment -- Exploration and Production Value Propositions -- Exploration -- Appraisal -- Development -- Production -- Enhancement -- Oilfield Analytics -- Oilfield Data Management -- Oilfield Exploration Analysis -- Oilfield Appraisal Management -- Oilfield Drilling and Completion Optimization -- Oilfield Reservoir Management -- Oilfield Intervention Management -- Oilfield Performance Forecasting -- Oilfield Production Optimization -- I am a . . . -- Geophysicist -- Geologist -- Petrophysicist -- Drilling Engineer -- Reservoir Engineer -- Production Engineer -- Petroleum Engineer -- Petroleum Economist -- Information Management Technology Specialist -- Data Analyst -- Notes -- Chapter 2: Data Management -- Exploration and Production Value Proposition -- Data Management Platform -- Four-Tiered DM Architecture -- Array of Data Repositories -- Structured Data and Unstructured Data -- Extraction, Transformation, and Loading Processes -- Major Tasks in Data Preparation -- Big Data Big Analytics -- Standard Data Sources -- Semantic Data -- Case Study: Production Data Quality Control Framework -- Outliers -- Abrupt Change -- Best Practices -- Data Profiling -- Data Quality -- Data Integration -- Data Enrichment -- Data Monitoring -- Notes.

Chapter 3: Seismic Attribute Analysis -- Exploration and Production Value Propositions -- Time-Lapse Seismic Exploration -- Seismic Attributes -- Instantaneous Attributes -- Root Mean Square -- Variance -- Pre-Stack Attributes -- Post-Stack Attributes -- Reservoir Characterization -- Reservoir Management -- Seismic Trace Analysis -- Single Trace Analysis -- Data Mining and Pattern Recognition -- Seismic Trace Feature Identification -- Reservoir Characterization Analytical Model -- 3D Seismic Data Comparisons -- Analytical versus Forecasted Results -- Case Study: Reservoir Properties Defined by Seismic Attributes -- Singular Spectrum Analysis -- Unsupervised Seismic Analysis -- Notes -- Chapter 4: Reservoir Characterization and Simulation -- Exploration and Production Value Propositions -- Exploratory Data Analysis -- Reservoir Characterization Cycle -- Traditional Data Analysis -- Reservoir Simulation Models -- Analytical Simulation Workflow -- Surrogate Reservoir Models -- Case Studies -- Predicting Reservoir Properties -- Maximizing Recovery Factors -- Notes -- Chapter 5: Drilling and Completion Optimization -- Exploration and Production Value Propositions -- Workflow One: Mitigation of Nonproductive Time -- Stuck-Pipe Model -- Workflow Two: Drilling Parameter Optimization -- Well Control -- Real-Time Data Interpretation to Predict Future Events -- Case Studies -- Steam-Assisted Gravity Drainage Completion -- Drilling Time-Series Pattern Recognition -- Unconventional Completion Best Practices -- Notes -- Chapter 6: Reservoir Management -- Exploration and Production Value Propositions -- Digital Oilfield of the Future -- Plugging the Technological Capability Gap -- Advanced Analytical Methodologies -- Real-Time Analytical Workflows -- Analytical Center of Excellence -- Analytical Workflows: Best Practices -- Shale Production Management.

Surrogate Reservoir Models -- Case Studies -- Water Flood Optimization -- Water Cut and Fracture Distribution in Carbonate Reservoirs -- Notes -- Chapter 7: Production Forecasting -- Exploration and Production Value Propositions -- Web-Based Decline Curve Analysis Solution -- Bootstrapping Module -- Cluster Analysis Module -- Data Mining Module -- Rate-Time Analysis -- Rate-Cum Analysis -- P/Z Analysis -- Automated Time Series Selection -- Unconventional Reserves Estimation -- Stretched-Exponential Decline Model -- Duong Model -- Weibull Growth Model -- Uncertainty Assessment: The GLUE Model -- Case Study: Oil Production Prediction for Infill Well -- Notes -- Chapter 8: Production Optimization -- Exploration and Production Value Propositions -- Case Studies -- Artificial Lift: Optimization of Gas-Injected Oil Wells2 -- Maximize Production in Unconventional Reservoirs -- Innovative Analytical Workflow in Mature Fields -- Recovery Factor Analysis -- Notes -- Chapter 9: Exploratory and Predictive Data Analysis -- Exploration and Production Value Propositions -- EDA Components -- Univariate Analysis -- Bivariate Analysis -- Multivariate Analysis -- Data Transformation -- Discretization -- EDA Statistical Graphs and Plots -- Box and Whiskers -- Histograms -- Probability Plots -- Scatterplots -- Heat Maps -- Bubble Plots -- Tree Maps -- Ensemble Segmentations -- Ensemble Methods -- Ensemble Clusters -- Ensemble Segments -- Data Visualization -- Case Studies -- Unconventional Reservoir Characterization -- Early Warning Detection System -- Notes -- Chapter 10: Big Data: Structured and Unstructured -- Exploration and Production Value Propositions -- Content Categorization -- Ontology Management -- Sentiment Analysis -- Text Mining -- Hybrid Expert and Data-Driven System -- Artificial Lift -- Case Studies -- Deepwater Electric Submersible Pumps.

Text Analytics in Oil and Gas -- Multivariate Geostatistics -- Big Data Workflows -- Formulate Problem -- Data Preparation -- Data Exploration -- Transform and Select -- Build Model -- Validate Model -- Deploy Model -- Evaluate and Monitor Results -- Integration of Soft Computing Techniques -- Notes -- Glossary -- About the Author -- Index.