Seismic reservoir prediction using Bayesian integration of rock physics and Markov random fields: A North Sea example
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THE LEADING EDGE
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Seismic reservoir prediction using Bayesian integration of rock physics and Markov random fields: A North Sea example

The Leading Edge 21, 290 (2002); doi:10.1190/1.1463780

Issue Date: March 2002

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Jo Eidsvik and Henning Omre
Norweigian University of Science and Technology, Trondheim, Norway

Tapan Mukerji and Gary Mavko
Stanford University, Stanford, California, U.S.

Per Avseth and Norsk Hydro
Bergen, Norway
Quantitative interpretation of seismic data for reservoir rock and fluid properties commonly relies on deterministic rock physics relations and may often neglect statistical variability or spatial correlation. Geostatistical methods, on the other hand, take into account spatial dependence but results are often obtained without properly formalizing rock physics relations between seismic measurements and rock and fluid properties. This paper presents a strategy for integrating deterministic rock physics relations and spatial, statistical representations within a Bayesian framework. ©2002 Society of Exploration Geophysicists
Permalink: http://dx.doi.org/10.1190/1.1463780

KEYWORDS and PACS

Keywords
PACS
  • 91.65.Rg
    Solid Earth physics Geophysical aspects of geology, mineralogy, and petrology Mineral occurrences and deposits
  • 91.30.Rz
    Solid Earth physics Seismology Explosion seismology
  • 93.30.Rp
    Geophysical observations, instrumentation, and techniques Information related to geographical regions Regional seas
  • YEAR: 2002

PUBLICATION DATA

ISSN:
1070-485X (print)  
Publisher:
AIP is a member of CrossRef SEG
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