Inferring interwell connectivity from injection and production data using frequency domain analysis
dc.contributor.advisor | Jensen, Jerry L. | |
dc.creator | Demiroren, Ayse Nazli | |
dc.date.accessioned | 2007-09-17T19:41:09Z | |
dc.date.available | 2007-09-17T19:41:09Z | |
dc.date.created | 2003-05 | |
dc.date.issued | 2007-09-17 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/5998 | |
dc.description.abstract | 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 (FTâÂÂs) 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 FTâÂÂs 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. | en |
dc.format.extent | 7671239 bytes | en |
dc.format.medium | electronic | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | |
dc.publisher | Texas A&M University | |
dc.subject | Interwell Connectivity | en |
dc.subject | Fourier Transforms | en |
dc.title | Inferring interwell connectivity from injection and production data using frequency domain analysis | en |
dc.type | Book | en |
dc.type | Thesis | en |
thesis.degree.department | Petroleum Engineering | en |
thesis.degree.discipline | Petroleum Engineering | en |
thesis.degree.grantor | Texas A&M University | en |
thesis.degree.name | Master of Science | en |
thesis.degree.level | Masters | en |
dc.contributor.committeeMember | Blasingame, Tom | |
dc.contributor.committeeMember | Gibson, Richard | |
dc.type.genre | Electronic Thesis | en |
dc.type.material | text | en |
dc.format.digitalOrigin | born digital | en |
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Electronic Theses, Dissertations, and Records of Study (2002– )
Texas A&M University Theses, Dissertations, and Records of Study (2002– )