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Quite a large number of major oil and gas projects are failures with respect to their costs, schedules, and operational performance. Owner companies and contractors are struggling …
The book aims to provide comprehensive knowledge and information pertaining to application or implementation of big data in the petroleum industry and its operations (such as …
Today, raw data on any industry is widely available. With the help of artificial intelligence (AI) and machine learning (ML), this data can be used to gain meaningful insights. In …
This book provides an overview of crude oil refining processes and presents a deep analysis of the current context and challenges imposed on players in the downstream industry. …
This book looks at the applications of coating in piping, valves and actuators in the offshore oil and gas industry. Providing a key guide for professionals and students alike, it …
With easy oil extraction becoming a thing of the past, new technologies and processes of discovery have been introduced into the exploration of oil and gas. These advancements rely …
This book covers unsupervised learning, supervised learning, clustering approaches, feature engineering, explainable AI and multioutput regression models for subsurface engineering …
When accidents occur in the oil and gas industry, the impacts can be profound. Serious injury or death to workers, environmental disasters and colossal costs for insurance or clean …
With easily accessible oil reserves dwindling, petroleum engineers must have a sound understanding of how to access technically challenging resources, especially in the deepwater …
This book presents the thermal and catalytic processes in refining. The differences between each type of process and the types of feedstock that can be used for the processes are …