Determining Pay Zone Using Clustering of Petro-physical Log Data and Cut-off Methods in a Carbonate Gas Reservoir

Document Type : Research Paper

Authors

1 Petrophysical study section, Geology department, National Iranian Drilling Company (NIDC), Tehran, Iran

2 Department of Reservoir Study and Field Development, Research Institute of Petroleum Industry (RIPI), Tehran, Iran

Abstract

The best reservoir intervals, i.e. pay zone in a well interval, include some sections of a reservoir formation with the highest hydrocarbon volume and the lowest water volume. In the present study, in the interval of a carbonate gas reservoir, pay zones were determined using two completely different methods. In the first method of pay zone determination, i.e. cut-off method, intervals were specified by determining cut off for two petro-physical parameters of porosity (PHIE) and effective water saturation (SWE). In the second method, namely clustering method, the zones were determined by combining clustering log data and new method of multi-reference graph cut (MRGC). Based on National Iranian Oil Company (NIOC) standards, in the first method, cut offs were considered 3 and 55 for PHIE and SWE of a gas reservoir respectively. In the clustering method, two models were applied; in one model, raw data were considered, while in the other one the evaluated logs were taken into account. With respect to the accumulation of hydrocarbon in the isolated facies in the two models, the model with evaluated logs showed higher accuracy. Finally, the accuracy of determining pay zones in the two models was investigated and compared. Given that the two methods were completely different, the accuracy of both methods to determine pay zones was observed at a very high level; the two methods were also highly consistent. As a result, in addition to cut-off method, clustering method can also be used to determine pay zones.

Keywords

References

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Journal of Petroleum Research
Volume 25, Issue 81 - Serial Number 81
May and June 2015
Pages 97-111

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