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Fractal Models in Exploration Geophysics
Seismic Modeling and Interpretation
2nd Edition - March 1, 2023
Authors: V.P. Dimri, R.P. Srivastava, Nimisha Vedanti
Paperback ISBN:
9 7 8 - 0 - 0 8 - 1 0 2 8 4 0 - 7
eBook ISBN:
9 7 8 - 0 - 0 8 - 1 0 2 8 4 1 - 4
Fractal Models in Geophysics: Seismic Modeling and Interpretation, Second Edition, describes fractal-based models for characterizing and interpreting complex, subsurface… Read more
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Fractal Models in Geophysics: Seismic Modeling and Interpretation, Second Edition, describes fractal-based models for characterizing and interpreting complex, subsurface geological structures based on gravity and magnetic data. The book introduces the inverse problem using a fractal approach, which is then developed with the implementation of a global optimization algorithm for seismic data (VFSA), aka, very fast simulated annealing. It discusses applications in seismic exploration, modeling, interpretation and rock property estimation. In addition, the book demonstrates how fractal theory has challenged the concept of random distribution of source’s properties, such as reflectivity, density, porosity.
As such, it is a valuable resource for geophysicists and exploration geologists, as well as those interested in the study of seismicity and reservoirs.
- Serves as a valuable resource for researchers studying the application of fractals in exploration, modeling, and interpretation, and for practitioners directly applying field data for geophysical modeling and estimating reservoir rock properties
- Discusses the basic principles and practical applications of time-lapse seismic reservoir monitoring technology
- Demonstrates how the fractal theory can be used in the processing and inversion of seismic data and seismic reservoir characterization
- Includes updates throughout to reflect advances in the field and technology
Researchers, practitioners, and students in geophysics and exploration geology; oil and gas industry engineers
1. Introduction to Fractals: Some geophysical examples of fractal behavior
2. Structural modelling using Fractals
2.1 Introduction
2.2 Tessellation
2.3 Model perturbation: creating geological models
2.4 Use in geomodelling
2.5 Conclusions
3. Seismic modelling and Fractal theory
3.1 Seismic wave propagation in a media
3.2 Wave equation modelling: FD approximation
3.3 Seismic modelling of complex geological structures
3.4 Further developments in seismic modelling
4. Fractal based stochastic seismic inversion
5.1 Introduction
5.2 Setting up fractal based background model
5.3 Very fast simulated annealing
5.4 Analysis of results
5.5 Conclusions
5. Seismic reservoir monitoring
This chapter is retained as published in the earlier version with new updates
6. Reservoir property modelling using fractals
6.1 Reservoir Rock properties
6.2 Porosity and Permeability
6.3 Fractal based estimation of permeability from porosity
6.4 Reservoir property modelling
7. Use of fractal spectrum in colored inversion: a fast track product for quick seismic interpretation.
7.1 Introduction to Colored inversion
7.2 Understanding link between rock physics and litho-facies
7.3 Seismic data pre-conditioning
7.4 Wavelet from seismic
7.5 Fitting a power law to spectrum from Acoustic/ EEI well log
7.6 Estimate colored inversion operator: effect of low frequencies
7.7 Colored inversion analysis
7.8 Conclusions
2. Structural modelling using Fractals
2.1 Introduction
2.2 Tessellation
2.3 Model perturbation: creating geological models
2.4 Use in geomodelling
2.5 Conclusions
3. Seismic modelling and Fractal theory
3.1 Seismic wave propagation in a media
3.2 Wave equation modelling: FD approximation
3.3 Seismic modelling of complex geological structures
3.4 Further developments in seismic modelling
4. Fractal based stochastic seismic inversion
5.1 Introduction
5.2 Setting up fractal based background model
5.3 Very fast simulated annealing
5.4 Analysis of results
5.5 Conclusions
5. Seismic reservoir monitoring
This chapter is retained as published in the earlier version with new updates
6. Reservoir property modelling using fractals
6.1 Reservoir Rock properties
6.2 Porosity and Permeability
6.3 Fractal based estimation of permeability from porosity
6.4 Reservoir property modelling
7. Use of fractal spectrum in colored inversion: a fast track product for quick seismic interpretation.
7.1 Introduction to Colored inversion
7.2 Understanding link between rock physics and litho-facies
7.3 Seismic data pre-conditioning
7.4 Wavelet from seismic
7.5 Fitting a power law to spectrum from Acoustic/ EEI well log
7.6 Estimate colored inversion operator: effect of low frequencies
7.7 Colored inversion analysis
7.8 Conclusions
- No. of pages: 250
- Language: English
- Edition: 2
- Published: March 1, 2023
- Imprint: Elsevier Science
- Paperback ISBN: 9780081028407
- eBook ISBN: 9780081028414
VD
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, IndiaRS
R.P. Srivastava
Dr. Ravi Prakash Srivastava is a Scientist for CSIR, National Geophysical Research Institute. He has more than 10 years of research experience in processing and interpretation of geophysical data. Currently, he works on the simulation of reservoir models using geophysical and geological and petrophysical data. He is a co-project leader of the Indo-Norwegian project on “Reservoir modelling and simulation study for enhanced oil recovery using gas injection.” His research interests include the application of fractals in modelling of complex geological structures, inversion of geophysical data, and reservoir modelling and simulation. He has received the National Geoscience Award in 2012, the CSIR Young Scientist Award in 2010, and the Indian Science Congress Association Young Scientist Award in 2008.
Affiliations and expertise
CSIR-National Geophysical Research Institute, Hyderabad, IndiaNV
Nimisha Vedanti
Nimisha Vedanti is a Principal Scientist for CSIR-NGRI and received an M.Sc.Tech (2000) in Exploration Geophysics from Banaras Hindu University, India and Ph.D. (2007) from Osmania University while working at CSIR-National Geophysical Research Institute, India. She held a postdoctoral position (2007-2008) at the University of Texas at Austin, USA under the BOYSCAST fellowship of the Govt. of India. She worked as a visiting scientist at the Department of Geoscience, University of Calgary, Canada, SINTEF Petroleum Research, Trondheim, Norway and Department of Geoscience & Petroleum, Norwegian University of Science and Technology, Trondheim Norway. Dr. Vedanti is a recipient of the Krishnan Gold Medal-2017 (Indian Geophysical Union), K.R. Gupta Award (2015) of the Geological Society of India, National Geoscience Award (2012), CSIR-Young Scientist Award (2009) and Indian Science Congress Association -Young Scientist Award (2008). Her primary research interests are hydrocarbon exploration and reservoir geophysics, which includes seismic data analysis, reservoir monitoring and geophysical inversion.
Affiliations and expertise
CSIR-National Geophysical Research Institute, Hyderabad, India