Geostatistics guided Seismic inversion of 3D Seismic data in VTI media

Q. R. Ren, M. S. Sen, M. N. Naraghi, S. S. Srinivasan, K. T.S. Spikes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Seismic inversion is an important method to explore subsurface properties. In this paper, we report on the application of a new stochastic inversion method called Greedy Annealing Importance Sampling (GAIS) (Xue et al., 2011), which is a combination of global optimization methods and stochastic inference methods. This new method is designed for an optimal balance between computational efficiency and accuracy of estimation. In additional to the new inversion algorithm, we use geostatistics to draw initial models for inversion. We apply our inversion algorithm to a 3D seismic dataset from Eagle Ford. Unlike the conventional geostatistical simulation, our approach uses GAIS that is capable of estimating uncertainty and makes use of transversely isotropic media for synthetic seismogram calculation. The results show that this new method resolves the formation interfaces and the large impedance contrast between Eagle Ford and Buda. Also, GAIS provides better lateral continuity of and lateral variation in inverted impedances. In addition, the quality of inverted S-impedance is improved significantly, because the anisotropy is accounted for in our approach.

Original languageEnglish (US)
Title of host publication78th EAGE Conference and Exhibition 2016
Subtitle of host publicationEfficient Use of Technology - Unlocking Potential
PublisherEuropean Association of Geoscientists and Engineers, EAGE
ISBN (Electronic)9789462821859
StatePublished - Jan 1 2016
Event78th EAGE Conference and Exhibition 2016: Efficient Use of Technology - Unlocking Potential - Vienna, Austria
Duration: May 30 2016Jun 2 2016

Publication series

Name78th EAGE Conference and Exhibition 2016: Efficient Use of Technology - Unlocking Potential

Other

Other78th EAGE Conference and Exhibition 2016: Efficient Use of Technology - Unlocking Potential
CountryAustria
CityVienna
Period5/30/166/2/16

All Science Journal Classification (ASJC) codes

  • Geophysics
  • Geochemistry and Petrology

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