Overview
- Presents a reliable methodology for decision making under uncertain conditions
- Explores the value of information and the value of flexibility in the process of making complex decisions
- Provides numerous practical examples, including those in the oil and gas industry
Part of the book series: Petroleum Engineering (PEEN)
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About this book
This book presents a consistent methodology for making decisions under uncertain conditions, as is almost always the case. Tools such as value of information and value of flexibility are explored as a means to make more complex and nuanced decisions.
The book develops the complete formalism for assessing the value of acquiring information with two novel approaches. Firstly, it integrates the fuzzy characteristics of data, and secondly develops a methodology for assessing data acquisition actions that optimize the value of projects from a holistic perspective. The book also discusses the formalism for including flexibility in the project decision assessment. Practical examples of oil- and gas-related decision problems are included and discussed to facilitate the learning process.
This book provides valuable advice and case studies applicable to engineers, researchers, and graduate students, particularly in the oil and gas industry and pharmaceutic industry.
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Keywords
Table of contents (9 chapters)
Authors and Affiliations
About the authors
Dr Martin J. Vilela holds a Bachelor degree in Physics from Venezuela Central University, Venezuela, a Master degree in Physics from Boston University, USA and a PhD in Engineering from Robert Gordon University, Aberdeen. He has worked in numerous research and managerial positions in Venezuela, Mexico, Libya, Spain, Algeria, Great Britain, Qatar, UAE, and Kuwait. Currently, he is an oil and gas consultant and CEO/Director of Aura Energy Solutions based in Madrid, Spain, and a Technical Reviewer for two prestigious Journals. His expertise lies in reservoir characterization, simulation, reservoir analysis, reservoir engineering operations, field development plan preparation, and field development and operations. He has been involved in uncertainty and risk valuations, decision-making processes, and decision optimisation. He has recently developed interest in energy transition and its impact in different domains.
Dr Gbenga Oluyemi gained his Bachelor degree in Geology from University of Ibadan, Nigeria in 1998, and his Master and PhD degrees from Robert Gordon University, Aberdeen, UK in 2002 and 2007, respectively. He has worked in several industry, research, and academic positions in Nigeria, Ghana, and the UK. He is currently the Lead for the Petroleum Engineering Research Group at Robert Gordon University. His research interest and expertise lie in formation evaluation, petroleum geomechanics, oilfield chemistry and fluid flow and characterisation in porous media. He is a Chartered Engineer in the UK and an active member of Energy Institute, UK, and Society of Petroleum Engineer (SPE). He is also a Technical Reviewer for more than 8 peer-reviewed journals. He has written more than 70 peer-reviewed journal articles, conference papers and 2 book chapters, and is the Editor-in-Chief of Springer’s Petroleum Engineering Book series.
Bibliographic Information
Book Title: Value of Information and Flexibility
Book Subtitle: Making Decisions Under Uncertainties
Authors: Martin J. Vilela, Gbenga F. Oluyemi
Series Title: Petroleum Engineering
DOI: https://doi.org/10.1007/978-3-030-86989-2
Publisher: Springer Cham
eBook Packages: Energy, Energy (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-86988-5Published: 21 October 2021
Softcover ISBN: 978-3-030-86991-5Published: 22 October 2022
eBook ISBN: 978-3-030-86989-2Published: 21 October 2021
Series ISSN: 2366-2646
Series E-ISSN: 2366-2654
Edition Number: 1
Number of Pages: XXI, 280
Number of Illustrations: 21 b/w illustrations, 122 illustrations in colour
Topics: Fossil Fuels (incl. Carbon Capture), Operations Research, Management Science, Operations Research/Decision Theory, Business and Management, general