Heavy Oil: Characteristics, Production and Emerging Technologies

Amir H. Mohammadi (Editor)
University of KwaZulu-Natal, Howard College Campus, Durban, South Africa

Series: Petroleum Science and Technology
BISAC: TEC047000

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$230.00

Volume 10

Issue 1

Volume 2

Volume 3

Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick

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Heavy oil is a crude oil of typically less than 20°API gravity and higher than 200 cp (centipoise) viscosity at reservoir conditions. It is characterized by a viscous, dense, and asphaltic nature. Heavy oil reservoirs are considered as some of the world’s largest reserves. Extraction, recovery, and production of heavy oil are the main challenges in the heavy oil industry. This book provides current research on heavy and crude oils.

Preface

Chapter 1. Modeling of Low-salinity Waterflood with Temperature-Dependent Geochemical Reactions for Heavy Oil Carbonate Reservoirs
Ji Ho Lee, Moon Sik Jeong and Kun Sang Lee (Department of Earth Resources and Environmental Engineering, Hanyan University, Seoul, South Korea)

Chapter 2. SAGD History from Modeling Point of View
Aria Rahimbakhsh, Morteza Sabeti, Amir H Mohammadi, and Khashayar Sharifi (Department of Petroleum Engineering, AmirKabir University of Technology, Tehran, Iran, and others)

Chapter 3. Oil Production Optimization via Optimum Artificial Lift Design
Abbas Khaksar Manshad, Mehdi Jabbari and Amir H Mohammadi (Department of Petroleum Engineering, Abadan Faculty of Petroleum Engineering, Petroleum University of Technology (PUT), Abadan, Iran, and others)

Chapter 4. Polyvinyl Alcohol (PVA) as an Emulsifying Agent for Viscosity Reduction of Heavy and Extra-Heavy Oils
Olalekan S. Alade, Kyuro Sasaki, Bayonile Ademodi, Yuichi Sugai, and Adeniyi S. Ogunlaja (Resources Production and Safety Engineering Laboratory, Department of Earth Resources Engineering, Kyushu University, Fukuoka, Japan, and others)

Chapter 5. An Introduction to Asphaltenes Chemistry
Jalil Bahman, Masoud Nasiri, Morteza Sabeti, and Amir H Mohammadi (Faculty of New Sciences and Technologies, Semnan University, Semnan, Iran, and others)

Chapter 6. Scaling Equations for Asphaltene Precipitation Modeling
Forough Ameli, Abdolhossein Hemmati-Sarapardeh, Sassan Hajirezaei, Amir H Mohammadi, and Bahram Dabir (School of Chemical Engineering, Oil and Gas, Iran University of Science and Technology, Tehran, Iran, and others)

Chapter 7. On the Estimation of Wax Deposition in Crude Oil Systems
Abbas Khaksar Manshad, Habib Rostami, Hojjat Rezaei, Seyed Moein Hosseini, Hasan Niknafs, and Amir H Mohammadi (Department of Petroleum Engineering, Abadan Faculty of Petroleum Engineering, Petroleum University of Technology (PUT), Abadan, Iran, and others)

Chapter 8. Efficient Estimation of Well Testing Parameters for Naturally Fractured Oil Reservoirs: Application in Reservoir Characterization
Abbas Khaksar Manshad, Habib Rostami, Seyed-Moein Hosseini, and Amir H Mohammadi (Department of Petroleum Engineering, Abadan Faculty of Petroleum Engineering, Petroleum University of Technology (PUT), Abadan, Iran, and others)

Chapter 9. On the Prediction of Well Productivity Index for Horizontal Oil Wells
Abbas Khaksar Manshad, Habib Rostami and Amir H Mohammadi (Department of Petroleum Engineering, Abadan Faculty of Petroleum Engineering, Petroleum University of Technology (PUT), Abadan, Iran, and others)

Chapter 10. Evaluation of Petro-Physical Properties (Porosity and Permeability) of Carbonate Oil Reservoirs
Abbas Khaksar Manshad, Habib Rostami, Peyman Torabideh, and Amir H Mohammadi (Department of Petroleum Engineering, Abadan Faculty of Petroleum Engineering, Petroleum University of Technology (PUT), Abadan, Iran, and others)

Chapter 11. Prediction and Elimination of Drill String Sticking Using Artificial Intelligence Technique
Hojat Toreifi, Abbas Khaksar Manshad, Habib Rostami, and Amir H Mohammadi (Department of Petroleum Engineering, School of Engineering, Persian Gulf University, Bushehr, Iran, and others)

Chapter 12. Integrated Lost Circulation Prediction in Drilling Operation
Abbas Khaksar Manshad, Habib Rostami, Hasan Niknafs, and Amir H Mohammadi (Department of Petroleum Engineering, Abadan Faculty of Petroleum Engineering, Petroleum University of Technology (PUT), Abadan, Iran, and others)

Chapter 13. Optimization of Drilling Penetration Rate in Oil Fields Using Artificial Intelligence Technique
Abbas Khaksar Manshad, Habib Rostami, Hojjat Toreifi, and Amir H Mohammadi (Department of Petroleum Engineering, Abadan Faculty of Petroleum Engineering, Petroleum University of Technology (PUT), Abadan, Iran, and others)

Chapter 14. Improvement of Drilling Penetration Rate in Oil Fields Using a PSO - GA - MLP Hybrid Network
Abbas Khaksar Manshad, Habib Rostami, Hojjat Toreifi, and Amir H Mohammadi (Department of Petroleum Engineering, Abadan Faculty of Petroleum Engineering, Petroleum University of Technology (PUT), Abadan, Iran, and others)

Chapter 15. Estimating the Drilling Fluid Density in the Mud Technology: Application in High Temperature and High Pressure Petroleum Wells
Arash Kamari, Farhad Gharagheizi, Amin Shokrollahi, Milad Arabloo, and Amir H Mohammadi (Department of Petroleum Engineering, Texas Tech University, Lubbock, Texas, USA, and others)

Index

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