Methods for Petroleum Well Optimization : Automation and Data Solutions
Language: English
Published by Elsevier Inc Sep 2021, 2021
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Neuware - Drilling and production wells are becoming more digitalized as oil and gas companies continue to implement machine learning andbig data solutions to save money on projects while reducing energy and emissions. Up to now there has not been one cohesiveresource that bridges the gap between theory and application, showing how to go from computer modeling to practical use. Methodsfor Petroleum Well Optimization: Automation and Data Solutions gives today's engineers and researchers real-time data solutionsspecific to drilling and production assets. Structured for training, this reference covers key concepts and detailed approaches frommathematical to real-time data solutions through technological advances. Topics include digital well planning and construction,moving teams into Onshore Collaboration Centers, operations with the best machine learning (ML) and metaheuristic algorithms,complex trajectories for wellbore stability, real-time predictive analytics by data mining, optimum decision-making, and case-basedreasoning. Supported by practical case studies, and with references including links to open-source code and fit-for-use MATLAB, R,Julia, Python and other standard programming languages, Methods for Petroleum Well Optimization delivers a critical training guidefor researchers and oil and gas engineers to take scientifically based approaches to solving real field problems.…
Seller Inventory # 9780323902311
- Title
- Methods for Petroleum Well Optimization : Automation and Data Solutions
- Author
- Rasool Khosravanian
- Publisher
- Elsevier Inc Sep 2021
- Publication year
- 2021
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0323902316
- ISBN 13
- 9780323902311
- Item weight
- 942 grams
- Dimensions
- 235x191x28 mm
Drilling and production wells are becoming more digitalized as oil and gas companies continue to implement machine learning and
big data solutions to save money on projects while reducing energy and emissions. Up to now there has not been one cohesive
resource that bridges the gap between theory and application, showing how to go from computer modeling to practical use. Methods
for Petroleum Well Optimization: Automation and Data Solutions gives today’s engineers and researchers real-time data solutions
specific to drilling and production assets. Structured for training, this reference covers key concepts and detailed approaches from
mathematical to real-time data solutions through technological advances. Topics include digital well planning and construction,
moving teams into Onshore Collaboration Centers, operations with the best machine learning (ML) and metaheuristic algorithms,
complex trajectories for wellbore stability, real-time predictive analytics by data mining, optimum decision-making, and case-based
reasoning. Supported by practical case studies, and with references including links to open-source code and fit-for-use MATLAB, R,
Julia, Python and other standard programming languages, Methods for Petroleum Well Optimization delivers a critical training guide
for researchers and oil and gas engineers to take scientifically based approaches to solving real field problems.
- Bridges the gap between theory and practice (from models to code) with content from the latest research developments supported by practical case study examples and questions at the end of each chapter
- Enables understanding of real-time data solutions and automation methods available specific to drilling and production wells, such
as digital well planning and construction through to automatic systems - Promotes the use of open-source code which will help companies, engineers, and researchers develop their prediction and analysis
software more quickly; this is especially appropriate in the application of multivariate techniques to the real-world problems of petroleum well optimization
"Synopsis" may belong to another edition of this title.
About the Author
Bernt Sigve Aadnøy is a Professor of Petroleum Engineering at the University of Stavanger, specializing in all aspects of well engineering, including geomechanics. He is also an Adjunct Professor at NTNU―the Norwegian University of Science and Technology in Trondheim. He worked for major operators in the oil industry from 1978 until 1994, when he transitioned to academia. Aadnøy has published more than 300 papers, holds 15 patents, and has authored or co-authored seven books, among them Modern Well Design, Petroleum Rock
Mechanics, and Mechanics of Drilling. He was also one of the editors of the SPE book Advanced Drilling and Well Technology (Society of Petroleum Engineers). Aadnøy holds a BS degree in mechanical engineering from the University of Wyoming, an MS in control engineering from the University of Texas, and a PhD in petroleum rock mechanics from the Norwegian Institute of Technology. He was a recipient of the 1999 SPE International Drilling Engineering Award and is also a 2015 SPE/AIME Honorary Member and a 2015 SPE Distinguished Member. He was named SPE Professional of the Year 2018 in Norway.
"About the title" may belong to another edition of this title.
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