Inferring interwell connectivity from injection and production data using frequency domain analysis
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.
Citation
Demiroren, Ayse Nazli (2003). Inferring interwell connectivity from injection and production data using frequency domain analysis. Master's thesis, Texas A&M University. Texas A&M University. Available electronically from https : / /hdl .handle .net /1969 .1 /5998.