Harness Oil and Gas Big Data with Analytics (Wiley and SAS Business Series)

Uncertainty is the enemy of oil and gas exploration and production—and while it will never be eliminated entirely from these processes, big data analytics can go a long way to mitigating risks and revealing efficiencies that can make energy production more reliable and profitable. With Harness Oil and Gas Big Data with Analytics, expert author Keith Holdaway offers the most comprehensive compendium of advanced analytics methodologies that oil and gas engineers can apply to their data.

This complete resource 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. The book delves into the three major issues that face the oil and gas industry during the exploration and production stages:

• Data management, including a discussion of the challenge of storing massive quantities of data in a manner conducive to analysis and effectively retrieving, backing up, and purging data
• Quantification of uncertainty, featuring an in-depth review of the statistical and data analytics methods for making predictions and determining the relative certainty of those predictions
• Risk assessment, including predictive analysis of the likelihood that known risks are realized and how to properly assess and prepare for unknown risks

Intended as a hands-on guide, this resource provides a complete overview of upstream data analysis and data management and then dives into details specific to the industry, addressing such topics as seismic attribute analysis, drilling and completion optimization, reservoir management, production optimization, and exploratory and predictive data analysis. Covering the major issues facing the oil and gas industry in the exploration and production stages, this groundbreaking work reveals how to model big data to realize efficiencies and business benefits in the oil and gas exploration and production phases like never before.

Uncertainty is the enemy of oil and gas exploration and production—and while it will never be eliminated entirely from these processes, big data analytics can go a long way to mitigating risks and revealing efficiencies that can make energy production more reliable and profitable. With Harness Oil and Gas Big Data with Analytics, expert author Keith Holdaway offers the most comprehensive compendium of advanced analytics methodologies that oil and gas engineers can apply to their data.

This complete resource 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. The book delves into the three major issues that face the oil and gas industry during the exploration and production stages:

• Data management, including a discussion of the challenge of storing massive quantities of data in a manner conducive to analysis and effectively retrieving, backing up, and purging data
• Quantification of uncertainty, featuring an in-depth review of the statistical and data analytics methods for making predictions and determining the relative certainty of those predictions
• Risk assessment, including predictive analysis of the likelihood that known risks are realized and how to properly assess and prepare for unknown risks

Intended as a hands-on guide, this resource provides a complete overview of upstream data analysis and data management and then dives into details specific to the industry, addressing such topics as seismic attribute analysis, drilling and completion optimization, reservoir management, production optimization, and exploratory and predictive data analysis. Covering the major issues facing the oil and gas industry in the exploration and production stages, this groundbreaking work reveals how to model big data to realize efficiencies and business benefits in the oil and gas exploration and production phases like never before.