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Inferring interwell connectivity from injection and production data using frequency domain analysis

This project estimates interwell connectivity, a characteristic that is crucial to determine reservoir
continuity while developing a waterflooding project. It tests the combination of Fourier transforms (FT’s)
of the flow rate data and analytical solutions from analog electrical circuits to infer the inverse diffusivity
coefficient (IDC). I solved the transmission line equation analytically for 0D, 1D, and 2D
resistance/capacitance (RC) network models and used those solutions to compare with the flow rate FT’s
to determine the diffusivity parameters. I used the analogy between the electrical response of RC
networks and the fluid response of permeable reservoirs on the basis of the similarities in the governing
equations.
I conclude that the analogy works accurately in simple reservoirs, where the assumptions of an analytical
solution are met, i.e. single-phase fluid and a homogeneous system. For two-phase liquid cases, I
determined that the analogy remains applicable because we still could produce accurate interwell
connectivity information. When I investigated cases with dissolved-gas production around the wellbore,
however, the analogy broke down and the results were not as good as the liquid systems.

Identiferoai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/5998
Date17 September 2007
CreatorsDemiroren, Ayse Nazli
ContributorsJensen, Jerry L.
PublisherTexas A&M University
Source SetsTexas A and M University
Languageen_US
Detected LanguageEnglish
TypeBook, Thesis, Electronic Thesis, text
Format7671239 bytes, electronic, application/pdf, born digital

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