Fractal models in exploration geophysics : application to hydrocarbon reservoirs /
Dimri, Vijay.
Fractal models in exploration geophysics : application to hydrocarbon reservoirs / created V.P. Dimri, R.P. Srivastava, Nimisha Vedantti. - First edition - Amsterdam ; Boston : Elsevier, 2012. - xvi, 165 pages. : illustrations ; 24 cm. - Handbook of geophysical exploration. Seismic exploration ; v. 41 . - Handbook of geophysical exploration. Section I, Seismic exploration ; v. 41. .
Includes bibliographical references (p. 149-157) and index.
Introduction of fractals: application to gravity and magnetic data -- Structural modeling using fractals -- Fractal inversion -- Seismic reservoir monitoring -- Reservoir geophysics: some basic concepts -- Fluid flow and recovery.
Researchers in the field of exploration geophysics have developed new methods for the acquisition, processing and interpretation of gravity and magnetic data, based on detailed investigations of bore wells around the globe. Fractal Models in Exploration Geophysics describes fractal-based models for characterizing these complex subsurface geological structures. The authors introduce the inverse problem using a fractal approach which they then develop with the implementation of a global optimization algorithm for seismic data: very fast simulated annealing (VFSA). This approach provides high-resolution inverse modeling results-particularly useful for reservoir characterization. Serves as a valuable resource for researchers studying the application of fractals in exploration, and for practitioners directly applying field data for geo-modelingDiscusses the basic principles and practical applications of time-lapse seismic reservoir monitoring technology-application rapidly advancing topicProvides the fundamentals for those interested in reservoir geophysics and reservoir simulation studyDemonstrates an example of reservoir simulation for enhanced oil recovery using CO2 injection
9780080451589 0080451586
Fractals.
Geophysics--Mathematics.
Hydrocarbon reservoirs.
Prospecting--Geophysical methods.
TN870.57 DIM
Fractal models in exploration geophysics : application to hydrocarbon reservoirs / created V.P. Dimri, R.P. Srivastava, Nimisha Vedantti. - First edition - Amsterdam ; Boston : Elsevier, 2012. - xvi, 165 pages. : illustrations ; 24 cm. - Handbook of geophysical exploration. Seismic exploration ; v. 41 . - Handbook of geophysical exploration. Section I, Seismic exploration ; v. 41. .
Includes bibliographical references (p. 149-157) and index.
Introduction of fractals: application to gravity and magnetic data -- Structural modeling using fractals -- Fractal inversion -- Seismic reservoir monitoring -- Reservoir geophysics: some basic concepts -- Fluid flow and recovery.
Researchers in the field of exploration geophysics have developed new methods for the acquisition, processing and interpretation of gravity and magnetic data, based on detailed investigations of bore wells around the globe. Fractal Models in Exploration Geophysics describes fractal-based models for characterizing these complex subsurface geological structures. The authors introduce the inverse problem using a fractal approach which they then develop with the implementation of a global optimization algorithm for seismic data: very fast simulated annealing (VFSA). This approach provides high-resolution inverse modeling results-particularly useful for reservoir characterization. Serves as a valuable resource for researchers studying the application of fractals in exploration, and for practitioners directly applying field data for geo-modelingDiscusses the basic principles and practical applications of time-lapse seismic reservoir monitoring technology-application rapidly advancing topicProvides the fundamentals for those interested in reservoir geophysics and reservoir simulation studyDemonstrates an example of reservoir simulation for enhanced oil recovery using CO2 injection
9780080451589 0080451586
Fractals.
Geophysics--Mathematics.
Hydrocarbon reservoirs.
Prospecting--Geophysical methods.
TN870.57 DIM