Seismic Imaging Methods and Applications for Oil and Gas Exploration
- 1st Edition - March 17, 2022
- Authors: Yasir Bashir, Amir Abbas Babasafari, Abdul Rahim Md Arshad, Seyed Yaser Moussavi Alashloo, Abdul Halim Latiff, Rosita Hamidi, Shiba Rezaei, Teresa Ratnam, Chico Sambo, Deva Prasad Ghosh
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 1 9 4 6 - 3
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 1 8 8 7 - 9
Seismic Imaging Methods and Application for Oil and Gas Exploration connects the legacy of field data processing and imaging with new research methods using diffractions and anisot… Read more
Seismic Imaging Methods and Application for Oil and Gas Exploration connects the legacy of field data processing and imaging with new research methods using diffractions and anisotropy in the field of geophysics. Topics covered include seismic data acquisition, seismic data processing, seismic wave modeling, high-resolution imaging, and anisotropic modeling and imaging. This book is a necessary resource for geophysicist working in the oil and gas and mineral exploration industries, as well as for students and academics in exploration geophysics.
- Provides detailed methods that are used in the industry, including advice on which methods to use in specific situations
- Compares classical methods with the latest technologies to improve practice and application in the real world
- Includes case studies for further explanation of methods described in the book
Geophysicists and exploration geologists working in Oil & Gas and Mineral Exploration Industry. Researchers and students in geophysics and exploration geoscience.
1. Seismic Data Acquisition Including Survey Design and Factors effecting Seismic Acquisition
2. Seismic Data Processing
3. Seismic Wave Modeling and High-resolution Imaging
4. Anisotropic Modeling and Imaging
5. Geological Reservoir Modelling and Seismic Reservoir Monitoring
2. Seismic Data Processing
3. Seismic Wave Modeling and High-resolution Imaging
4. Anisotropic Modeling and Imaging
5. Geological Reservoir Modelling and Seismic Reservoir Monitoring
- Edition: 1
- Published: March 17, 2022
- Language: English
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Yasir Bashir
Yasir Bashir is an assistant professor at School of Physics, Geophysics Section in Universiti Sains Malaysia, Penang. He earned his PhD in Petroleum Geosciences from Universiti Teknologi PETRONAS, and master’s in computer science as well as in Geophysics from Quaid-e-Azam University, Islamabad, Pakistan. He worked as Research Scientist in Universiti Teknologi PETRONAS, Malaysia for 5 years and with OGDCL, Pakistan as Geophysicist. Technical background includes in aspects of developing algorithms including Machine learning for Seismic data processing, Imaging and developing workflow for seismic inversion and prospect evaluation together with hands-on practice. Participated as a team member and leader in several research projects from PETRONAS, Hitachi, UTP, and OGDCL such as Seismic anisotropy imaging, Seismic computing research, Pre-image processing & Diffraction Imaging, PSTM, PSDM, and QI. Research outcomes have recognized and presented in international conferences (SEG, EAGE, OTC, IPTC, and APGCE) and Journals publications. Problem solver with strengths in workflow development and quality control. Effective leadership skills in mixed-gender and multi-ethnic groups. Strong academic background with PETRONAS Institute of Technology, Malaysia. He is a member of SEG, EAGE, PGN, GSM, and PAPG.
Affiliations and expertise
Assistant Professor, School of Physics, Geophysics Section, University of Science Malaysia, MalaysiaAB
Amir Abbas Babasafari
Amir Abbas Babasafari is a reservoir geophysicist with over 10 years of experience in oil and gas industry. He received B.S. (2006) in mining exploration and M.S. (2008) in geophysics (exploration seismology). After that, he worked as a geophysicist in the oil and gas industry from 2008 to 2017 in Iran and got involved in several exploration as well as field development megaprojects. His main expertise is seismic data interpretation and reservoir characterization where he achieved invaluable experiences in clastic and carbonate reservoirs. He has recently obtained his Ph.D. degree in petroleum geoscience (seismic exploration) at Universiti Teknologi PETRONAS, Malaysia (January 2020). His interests range widely, from seismic data processing to interpretation. However, he is more interested in seismic data interpretation, velocity model building, rock physics modeling, seismic data inversion, anisotropic AVO analysis, machine learning techniques for petrophysical properties prediction and lithofacies classification, seismic fracture study, pore pressure prediction, and 4D (time lapse) studies. He is currently a postdoctoral research fellow at Center for Petroleum Studies of Campinas University, Brazil. He is eager to learn and discover new aspects of exploration and also share his experiences with others.
Affiliations and expertise
1 Universiti Teknologi PETRONAS, Geoscience Department, Tronoh, Perak, Malaysia
2 State University of Campinas, Center for Petroleum Studies, Campinas, Sao Paulo, BrazilAA
Abdul Rahim Md Arshad
Abdul Rahim Md Arshad received his BSc in geophysics from the University of Western Ontario, London, Canada in 1987. From 1989 to 2001, he was a geophysicist with PETRONAS Research & Scientific Services Sdn Bhd working on specialized seismic processing projects that include velocity model building, depth migration and AVO analysis. In 2001, he joined Veritas DGC Sdn Bhd as a Processing Manager. CGG merged with Veritas in 2007. Abdul Rahim remained with CGG until 2016 when he left the company as a Geophysical Supervisor. He was an Adjunct Lecturer with the Department of Geosciences, Universiti Teknologi PETRONAS (UTP) from 2014-2016. Abdul Rahim is currently pursuing a PhD with UTP. His research interests include demultiple, non-linear imaging, velocity modeling and Marchenko redatuming. En Abdul Rahim is an Active Member of SEG since 2001 and a Member of EAGE since 2006.
Affiliations and expertise
Research Scientist, Center of Subsurface Imaging (CSI), Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Perak, MalaysiaSA
Seyed Yaser Moussavi Alashloo
Seyed Yaser Moussavi Alashloo is an assistant professor in Institute of Geophysics, Polish Academy of Sciences. He worked as a postdoctoral research fellow at the Centre of Seismic Imaging (CSI), Universiti Teknologi PETRONAS (UTP) for two years. He obtained his Ph.D. in petroleum geosciences from UTP in 2017, with focus on seismic imaging, seismic anisotropy and wave propagation. He received his MSc. in applied geophysics from Universiti Sains Malaysia. He collaborated with PETONAS R&D department in different projects to develop anisotropic wave modeling and anisotropic traveltime computing algorithms to improve the resolution and imaging capabilities. His current research deals with the wave propagation and wavefield continuation imaging techniques, and application of least squares RTM in near surface and complex crustal scale geologies. He is a member of EAGE, SEG, and EGU.
Affiliations and expertise
Assistant Professor, Institute of Geophysics, Polish Academy of Sciences, PolandAL
Abdul Halim Latiff
Abdul Halim Abdul Latiff is currently leading the Centre for Subsurface Seismic Imaging (CSI), an oil and gas industry-oriented research centre in Universiti Teknologi PETRONAS (UTP). He obtained his MSc and Doctorate from UTP and Universiti Sains Malaysia (USM) respectively with special interest in seismic acquisition and deep-earth seismology. His main area of expertise is in seismic processing and imaging, both for active and passive seismic (including earthquake seismology). With several years as an industry practitioner with CGG Malaysia as well as researcher and academician with UTP, Halim is on a mission to spread the knowledge in geosciences and nurturing more earth scientist for a sustainable and better future.
Affiliations and expertise
Researcher, Center of Subsurface Imaging (CSI), Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Perak, MalaysiaRH
Rosita Hamidi
Rosita Hamidi is Research Geophysicist at Center of Subsurface Imaging (CSI), Universiti Teknologi PETRONAS (UTP). Rosita’s research is mainly focused on development of Deep Learning based algorithms in seismic data analysis. With background in seismic attributes studies and reservoir characterisation, she implements Deep Neural Network architectures for seismic auto-interpretation and property prediction. The results have been presented in several international journals, conferences and meetings. Rosita received her Ph.D. in Petroleum Engineering- Exploration from Amirkabir University of Technology (Tehran Polytechnic). Prior to joining UTP, she worked at National Iranian Oil Company (NIOC) as an Exploration Engineer and was involved in the exploration activities in offshore and onshore prospects in Iran.
Affiliations and expertise
Research Geophysicist, Center of Subsurface Imaging (CSI), Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Perak, MalaysiaSR
Shiba Rezaei
Shiba Rezaei is an Exploration Geophysicist and she received the B.Tech. and M.Sc. degree in Petroleum Geoscience from Universiti Teknologi PETRONAS in 2017 and 2020, respectively. She has worked as an intern at PETRONAS Carigali prior to completing her undergraduate studies where she focused on reservoir static modelling project. During master’s program she served as a graduate research assistant at the Centre of Seismic Imaging (CSI), where she was responsible for “Time-lapse seismic reservoir monitoring for pore pressure and water saturation estimation” project. Her current research interests are time-lapse seismic reservoir monitoring, seismic data analysis and inversion, and artificial intelligence field which motivates her to pursue her studies in earth sciences.
Affiliations and expertise
Former Graduate research assistant at the Centre of Seismic Imaging (CSI)TR
Teresa Ratnam
Teresa Ratnam Obtained a Bachelor of Engineering in Petroleum Engineering majoring in Reservoir Engineering from Universiti Teknologi PETRONAS (UTP). Proceeded to obtain her Master's in Petroleum Geoscience by research. Her research covered the topics of reservoir modeling, seismic inversion, and machine learning
CS
Chico Sambo
Chico Sambo is a Ph.D candidate in petroleum engineering at Louisiana State University, USA. He completed his master from university of Louisiana at Lafayette, USA. He graduated in 2017 with bachelor’s degree from university Technology PETRONAS, Malaysia. He worked at center of seismic and hydrocarbon prediction for more than two years as research officer. His research interest includes the application of machine learning and artificial intelligence technology in oil and gas industry. He has published more than 10 international conferences and peer review articles. Currently, he serves as editor of international journal of Advances in Geo-Energy (AGER) and serves as a reviewer to the journal of natural gas science and engineering, petroleum science and engineering
Affiliations and expertise
Ph.D candidate in petroleum engineering at Louisiana State University, USA.DG
Deva Prasad Ghosh
The late Deva Prasad Ghosh was a Professor in Geophysics at Universiti Teknologi PETRONAS, appointed in 2011, and teaches the undergraduate and postgraduate course in geophysics. He is appointed Head of the Centre of Seismic Imaging (CSI), where innovative research in seismic, development of state-of-the-art algorithms are undertaken for use by the industry, particularly PETRONAS. His center has produced to date 10 PhD and several masters students by research. Prior to that he was Custodian of geophysics and research advisor for PETRONAS research. Dr. Ghosh in his early years (1974-1999) was with Shell International working in Europe, USA and West Africa in various technological and management position. He has BSc and master’s degree from Banaras University India and PhD from Delft University, Holland. He is both EAGE and SEG Honorary Lecturer
Affiliations and expertise
Professor in Geophysics at Universiti Teknologi PETRONAS (Deceased)Read Seismic Imaging Methods and Applications for Oil and Gas Exploration on ScienceDirect