Date of Award
Summer 8-2016
Degree Type
Thesis-Restricted
Degree Name
M.S.
Degree Program
Physics
Department
Physics
Major Professor
Dr Abu K.M. Sarwar
Second Advisor
Dr Juliette W. Ioup
Third Advisor
Dr Ashok Puri
Fourth Advisor
Dr Arslan Tashmukhambetov
Abstract
Seismic inversion using a global optimization algorithm is a non-linear, model-driven process. It yields an optimal solution of the cost function – reflectivity/acoustic impedance, when prior information is sparse. The inversion result offers detailed interpretations of thin layers, internal stratigraphy, and lateral continuity and connectivity of sand bodies. This study compared two stable and robust global optimization techniques, Simulated Annealing (SA) and Basis Pursuit Inversion (BPI) as applied to post-stack seismic data from the Gulf of Mexico.
Both methods use different routines and constraints to search for the minimum error energy function. Estimation of inversion parameters in SA is rigorous and more reliable because it depends on prior knowledge of subsurface geology. The BPI algorithm is a more robust deterministic process. It was developed as an alternative method to incorporating a priori information. Results for the Gulf of Mexico show that BPI gives a better stratigraphic and structural actualization due to its capacity to delineate layers thinner than the tuning thickness. The SA algorithm generates both absolute and relative impedances, which provide both qualitative and quantitative characterization of thin-bed reservoirs.
Recommended Citation
Adedeji, Elijah A., "3D Post-stack Seismic Inversion using Global Optimization Techniques: Gulf of Mexico Example" (2016). University of New Orleans Theses and Dissertations. 2231.
https://scholarworks.uno.edu/td/2231
Rights
The University of New Orleans and its agents retain the non-exclusive license to archive and make accessible this dissertation or thesis in whole or in part in all forms of media, now or hereafter known. The author retains all other ownership rights to the copyright of the thesis or dissertation.