Reservoir Characterization, Modeling and Quantitative Interpretation
Recent Workflows to Emerging Technologies
- 1st Edition, Volume 6 - October 24, 2023
- Imprint: Elsevier
- Editors: Shib Sankar Ganguli, V.P. Dimri
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 9 5 9 3 - 1
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 9 7 1 8 - 8
Reservoir Characterization, Modeling and Quantitative Interpretation: Recent Workflows to Emerging Technologies offers a wide spectrum of reservoir characterization technique… Read more
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Request a sales quoteReservoir Characterization, Modeling and Quantitative Interpretation: Recent Workflows to Emerging Technologies offers a wide spectrum of reservoir characterization techniques and technologies, focusing on the latest breakthroughs and most efficient methodologies in hydrocarbon exploration and development. Topics covered include 4D seismic technologies, AVAz inversion, fracture characterization, multiscale imaging technologies, static and dynamic reservoir characterization, among others. The content is delivered through an inductive approach, which will help readers gain comprehensive insights on advanced practices and be able to relate them to other subareas of reservoir characterization, including CO2 storage and data-driven modeling.
This will be especially useful for field scientists in collecting and analyzing field data, prospect evaluation, developing reservoir models, and adopting new technologies to mitigate exploration risk. They will be able to solve the practical and challenging problems faced in the field of reservoir characterization, as it will offer systematic industrial workflows covering every aspect of this branch of Earth Science, including subsurface geoscientific perspectives of carbon geosequestration. This resource is a 21st Century guide for exploration geologists, geoscience students at postgraduate level and above, and petrophysicists working in the oil and gas industry.
- Covers the latest and most effective technologies in reservoir characterization, including Avo analysis, AVAz inversion, wave field separation and Machine Learning techniques
- Provides a balanced blend of both theoretical and practical approaches for solving challenges in reservoir characterization
- Includes detailed industry-standard practical workflows, along with code structures for algorithms and practice exercises
Exploration geologists, geoscience students at postgraduate level and above, and petrophysicists working in the oil and gas industry, Academics and researchers in Geology and Exploration Geophysics
1. Reservoir Characterization, State of the art, challenges and ways forward
2. 3D Seismic attribute visualization and analysis for fault characterization
3. Modeling Natural Fracture Networks and Data Assimilation using multipoint geostatistics and machine learning based geomechanical inferences
4. Enhanced artificial intelligence workflow for predicting production within the Bakken formation
5. Relative seismic inversion: A quick way to understand quantitative potential of the data
6. Striking a balance: Seismic inversion with model- and data-driven priors
7. AVAz inversion of 4D seismic data for fracture characterization in the Stocker field
8. Modeled AVAZ responses of multiple fractured medium
9. Seismic AVO analysis for reservoir characterization
10. 4D Seismic for Reservoir Management
11. Rock physics bridging the gap between seismic data and reservoir properties
12. Effective Elastic Medium Properties Using Digital Rocks: Existing Practice and Emerging Trends
13. Role of critical data for Geomechanical Modeling & Characterization of Future CO₂ Storage Sites
14. Geoscientific Approach for Carbon Sequestration Evaluation: A Pragmatic Perspective
15. Source rock characterization: Implications to hydrocarbon potential
16. Multiscale imaging technologies for shale reservoir characterization
2. 3D Seismic attribute visualization and analysis for fault characterization
3. Modeling Natural Fracture Networks and Data Assimilation using multipoint geostatistics and machine learning based geomechanical inferences
4. Enhanced artificial intelligence workflow for predicting production within the Bakken formation
5. Relative seismic inversion: A quick way to understand quantitative potential of the data
6. Striking a balance: Seismic inversion with model- and data-driven priors
7. AVAz inversion of 4D seismic data for fracture characterization in the Stocker field
8. Modeled AVAZ responses of multiple fractured medium
9. Seismic AVO analysis for reservoir characterization
10. 4D Seismic for Reservoir Management
11. Rock physics bridging the gap between seismic data and reservoir properties
12. Effective Elastic Medium Properties Using Digital Rocks: Existing Practice and Emerging Trends
13. Role of critical data for Geomechanical Modeling & Characterization of Future CO₂ Storage Sites
14. Geoscientific Approach for Carbon Sequestration Evaluation: A Pragmatic Perspective
15. Source rock characterization: Implications to hydrocarbon potential
16. Multiscale imaging technologies for shale reservoir characterization
- Edition: 1
- Volume: 6
- Published: October 24, 2023
- No. of pages (Paperback): 516
- Imprint: Elsevier
- Language: English
- Paperback ISBN: 9780323995931
- eBook ISBN: 9780323997188
SG
Shib Sankar Ganguli
Dr. Shib Sankar Ganguli is a Scientist at the CSIR-National Geophysical Research Institute and received his Master’s degree in Applied Geophysics (2011) from Indian School of Mines and PhD (2016) from Academy of Scientific and Innovative Research, India. He is a graduate of the SEG/ExxonMobil Student Education Program. Prior to joining CSIR as a Scientist, he served as Inspire Faculty at IIT Kanpur after receiving the highly competitive DST Inspire Faculty Award from the Government of India. He also worked as a visiting scientist at SINTEF Petroleum Research, Norway. He is a recipient of the NASI Platinum Jubilee Young Scientist Medal 2020 from the National Academy of Sciences, the Young Scientist Award from the Ministry of Mines, the TAS Young Scientist Award 2019 and the Springer Outstanding Thesis Prize 2017. His research interests are not limited to but include exploration geophysics, reservoir characterization, seismic, rock physics.
Affiliations and expertise
Scientist, Council of Scientific and Industrial Research -National Geophysical Research Institute, IndiaVD
V.P. Dimri
Dr. Vijay Prasad Dimri completed his post-graduation and PhD from the Indian School of Mines, Dhanbad. He joined the National Geophysical Research Institute (NGRI), where he was the Director from 2001-2010. He was also previously the Director of GERMI, Gandhinagar, Gujarat and CSIR-Distinguished Scientist in CSIR-NGRI, Hyderabad. He was a post-doctoral Fellow in Norway (1986-88) and held the Senior DAAD Fellowship (2001). He was also Adjunct Professor of the University of Hyderabad; IIT, Kharagpur; and Honorary Professor of Andhra University, Visakhapatnam. He has about 125 international and national publications, three filed patents, and nine authored/edited books. Dr. Dimri has received the PadmaShri award in 2010 from the Govt. of India. He is the first Asian recipient of the prestigious Lorenz Award of the American Geophysical Union. He also received Axford Lecture Award in 2010 from Asia Oceania Geosciences Society, Singapore.
Affiliations and expertise
CSIR-National Geophysical Research Institute, Hyderabad, IndiaRead Reservoir Characterization, Modeling and Quantitative Interpretation on ScienceDirect