Integration of well test analysis into naturally fractured reservoir simulation
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Naturally fractured reservoirs (NFR) represent an important percentage of the worldwide hydrocarbon reserves and production. Reservoir simulation is a fundamental technique in characterizing this type of reservoir. Fracture properties are often not available due to difficulty to characterize the fracture system. On the other hand, well test analysis is a well known and widely applied reservoir characterization technique. Well testing in NFR provides two characteristic parameters, storativity ratio and interporosity flow coefficient. The storativity ratio is related to fracture porosity. The interporosity flow coefficient can be linked to shape factor, which is a function of fracture spacing. The purpose of this work is to investigate the feasibility of estimating fracture porosity and fracture spacing from single well test analysis and to evaluate the use of these two parameters in dual porosity simulation models. The following assumptions were considered for this research: 1) fracture compressibility is equal to matrix compressibility; 2) no wellbore storage and skin effects are present; 3) pressure response is in pseudo-steady state; and 4) there is single phase flow. Various simulation models were run and build up pressure data from a producer well was extracted. Well test analysis was performed and the result was compared to the simulation input data. The results indicate that the storativity ratio provides a good estimation of the magnitude of fracture porosity. The interporosity flow coefficient also provides a reasonable estimate of the magnitude of the shape factor, assuming that matrix permeability is a known parameter. In addition, pressure tests must exhibit all three flow regimes that characterizes pressure response in NFR in order to obtain reliable estimations of fracture porosity and shape factor.
Perez Garcia, Laura Elena (2005). Integration of well test analysis into naturally fractured reservoir simulation. Master's thesis, Texas A&M University. Texas A&M University. Available electronically from