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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, the reference covers key concepts, additional references, and detailed approaches from mathematical to real-time data solutions and technological advances. Topics include digital well construction, moving teams into Onshore Collaboration Centers, performance of drilling plans and operations with the best metaheuristic algorithms, complex trajectories for wellbore stability, mechanical specific energy, casing string placement, well completion design, and case-based reasoning.
Supported by practical case studies and fit-for-use MATLAB codes, this book delivers a critical training guide for researchers and oil and gas engineers who are interested in scientific based approaches to solve real field problems.
- Bridges theory with practice and the latest research developments
- Helps readers understand real-time data solutions and the automation methods that are available for drilling and production wells, such as digital well construction through automatic systems
- Provides application specific MATLAB codes
Drilling engineer; completion engineer; oil and gas researcher
1. Automatic drilling Systems
3. Deterministic, multivariate and uncertainty approaches
4. Well path optimization
5. Hydraulic optimization
6. Mechanical Specific Energy (MSE) and Rock Drillability Assessments
7. ROP optimization
8. Multivariate casing depth selection
9. Anti-collision optimization
10. Well Completion Optimization
11. Montcarlo Simulation in Well Stability
12. Case-Based Reasoning (CBR) in Drilling Engineering
MATLAB codes and XLS programs
- No. of pages:
- © Gulf Professional Publishing 2021
- 1st July 2021
- Gulf Professional Publishing
- Paperback ISBN:
Rasool Khosravanian works as a post-doctoral fellow in the Department of Petroleum Engineering, University of Stavanger, Norway from 2019. He holds MSc and PhD degree in industrial engineering from the IUST. Rasool received his B.S. degree in drilling and mining engineering from Kerman university in 2001 .He was faculty member and assistant professor at Amirkabir University of Technology (Tehran Polytechnic) from 2010 to 2018. His research interests include, optimization, data mining, neural network, project management, engineering economy and risk and uncertainty analysis. He has published over 20 papers in international journals and 40 paper in conferences with 10 years of drilling experience working both with academic research and with petroleum industry. He has 5 years of professional experience from EPD companies including IOEC, PEDEX and is member of the society of petroleum engineers (SPE).
Post-doctoral fellow in the Department of Petroleum Engineering, University of Stavanger, Norway
Bernt Sigve Aadnøy received the B. Sc. degree in mechanical engineering from the University of Wyoming, USA in 1978, the M. Sc. degree in control engineering from the University of Texas, USA in 1979, and the Ph.D. degree in geomechanics from the Norwegian Institute of Technology, Norway in 1987. He is a professor of petroleum engineering at the University of Stavanger, Norway. He also holds a mechanical engineering degree from Stavanger technology, Norway. Before going to academia, he worked for Phillips Petroleum, Rogaland Research, Statoil and Saga Petroleum. He has published more than 200 papers, mostly on rock mechanics and well technology but also in reservoir engineering, production and automation, and holds 10 patents. He is the author of several books such as Petroleum Rock Mechanics, Second Edition (Elsevier) and is technical editor for several journals. He was the recipient of the SPE (Society of Petroleum Engineers)/AIME (the American institute of Mining and Metallurgical Engineers) Honorary Member, SPE Distinguished Member, and SPE Oil Professional Award.
Professor of Petroleum Engineering, University of Stavanger, Norway
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