A semi-empirical model for interpreting rock strain sensitivity in 4D seismic data

Colin MacBeth, Asiya Kudarova, Paul J. Hatchell, Jon Brain

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

Several models have been recently proposed to connect observations of velocity change with strain deformation in and around reservoirs undergoing production and recovery. In this work we show that a simple compliance-based model combined with the original conceptual understanding of Hatchell and Bourne (2005) can adequately explain the magnitude of R factor values currently observed from calibrated field data in a variety of settings. The model is also used to determine an expression for the gradient of overburden time-shift variation with incidence angle. This gradient is predicted to be low but may vary according to the ratio of tangential to normal compliance at the intergranular contacts. This factor could perhaps be used as an additional parameter to assess the post-production state of the overburden.
Original languageEnglish
DOIs
Publication statusPublished - 12 Jun 2017
Event79th EAGE Conference and Exhibition 2017 - Paris, France
Duration: 12 Jun 201715 Jun 2017
http://events.eage.org/en/2017/79th-eage-conference-and-exhibition-2017

Conference

Conference79th EAGE Conference and Exhibition 2017
CountryFrance
CityParis
Period12/06/1715/06/17
Internet address

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    MacBeth, C., Kudarova, A., Hatchell, P. J., & Brain, J. (2017). A semi-empirical model for interpreting rock strain sensitivity in 4D seismic data. Paper presented at 79th EAGE Conference and Exhibition 2017 , Paris, France. https://doi.org/10.3997/2214-4609.201700483