Matheson Gas Data Book

Matheson Gas Data Book PDF

Author: Carl L. Yaws

Publisher: McGraw Hill Professional

Published: 2001

Total Pages: 1004

ISBN-13: 9780071358545

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The Proposed book is a new edition of the Matheson Gas Data book which is widely used in industrial facilities and research laboratories. The most recent edition sold 18,000 copies. The purpose of the new edition would provide expanded coverage of gases, and to cover more gases. The expanded coverage would encompass physical, thermodynamic, environmental, transport, safety, and health and related properties of gases of major importance. It will also cover known applications, government regulations, and first aid information. This book will be of interest to both the safety and engineering professional who use compressed gas.

Machine Learning and Data Science in the Oil and Gas Industry

Machine Learning and Data Science in the Oil and Gas Industry PDF

Author: Patrick Bangert

Publisher: Gulf Professional Publishing

Published: 2021-03-04

Total Pages: 290

ISBN-13: 0128209143

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Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data stream moving forward. Practical in its approach, the book explains all aspects of a data science or machine learning project, including the managerial parts of it that are so often the cause for failure. Several real-life case studies round out the book with topics such as predictive maintenance, soft sensing, and forecasting. Viewed as a guide book, this manual will lead a practitioner through the journey of a data science project in the oil and gas industry circumventing the pitfalls and articulating the business value. Chart an overview of the techniques and tools of machine learning including all the non-technological aspects necessary to be successful Gain practical understanding of machine learning used in oil and gas operations through contributed case studies Learn change management skills that will help gain confidence in pursuing the technology Understand the workflow of a full-scale project and where machine learning benefits (and where it does not)

Fundamentals of Natural Gas Processing

Fundamentals of Natural Gas Processing PDF

Author: Arthur J. Kidnay

Publisher: CRC Press

Published: 2006-06-21

Total Pages: 461

ISBN-13: 1420014048

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Fundamentals of Natural Gas Processing explores the natural gas industry from the wellhead to the marketplace. It compiles information from the open literature, meeting proceedings, and experts to accurately depict the state of gas processing technology today and highlight technologies that could become important in the future. This book cov

Harness Oil and Gas Big Data with Analytics

Harness Oil and Gas Big Data with Analytics PDF

Author: Keith R. Holdaway

Publisher: John Wiley & Sons

Published: 2014-05-27

Total Pages: 389

ISBN-13: 1118779312

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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.