Author: Special Libraries Association. Committee on U.S. Sources of Petroleum and Natural Gas Statistics
Publisher:
ISBN:
Category : Natural gas
Languages : en
Pages : 112
Book Description
U.S. Sources of Petroleum and Natural Gas Statistics
Author: Special Libraries Association. Committee on U.S. Sources of Petroleum and Natural Gas Statistics
Publisher:
ISBN:
Category : Natural gas
Languages : en
Pages : 112
Book Description
Publisher:
ISBN:
Category : Natural gas
Languages : en
Pages : 112
Book Description
Current Industrial Reports
Monthly Petroleum Statistics Report
Author:
Publisher:
ISBN:
Category : Petroleum industry and trade
Languages : en
Pages : 20
Book Description
Publisher:
ISBN:
Category : Petroleum industry and trade
Languages : en
Pages : 20
Book Description
Initial Report on Oil and Gas Resources, Reserves, and Productive Capacities
Author: United States. Federal Energy Administration. Office of Policy and Analysis
Publisher:
ISBN:
Category : Natural gas
Languages : en
Pages : 276
Book Description
Publisher:
ISBN:
Category : Natural gas
Languages : en
Pages : 276
Book Description
Oil and Gas Field Study
Author: United States. Department of the Interior. Office of Oil and Gas
Publisher:
ISBN:
Category : Information storage and retrieval systems
Languages : en
Pages : 260
Book Description
Publisher:
ISBN:
Category : Information storage and retrieval systems
Languages : en
Pages : 260
Book Description
Statistics of Oil and Gas Development and Production
Author: Society of Petroleum Engineers of AIME. Production Review Committee
Publisher:
ISBN:
Category : Natural gas
Languages : en
Pages : 666
Book Description
Publisher:
ISBN:
Category : Natural gas
Languages : en
Pages : 666
Book Description
Oil and Gas Resources, Reserves, and Productive Capacities
Author: United States. Federal Energy Administration. Office of Policy and Analysis
Publisher:
ISBN:
Category : Energy policy
Languages : en
Pages : 88
Book Description
Publisher:
ISBN:
Category : Energy policy
Languages : en
Pages : 88
Book Description
Energy Statistics
Author: Sarojini Balachandran
Publisher: Gale Cengage
ISBN:
Category : Reference
Languages : en
Pages : 296
Book Description
Publisher: Gale Cengage
ISBN:
Category : Reference
Languages : en
Pages : 296
Book Description
Machine Learning and Data Science in the Oil and Gas Industry
Author: Patrick Bangert
Publisher: Gulf Professional Publishing
ISBN: 0128209143
Category : Science
Languages : en
Pages : 290
Book Description
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)
Publisher: Gulf Professional Publishing
ISBN: 0128209143
Category : Science
Languages : en
Pages : 290
Book Description
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)
Statistics of Oil and Gas Development and Production
Author: Society of Petroleum Engineers of AIME.
Publisher:
ISBN:
Category :
Languages : en
Pages : 560
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 560
Book Description