DETERMINING PAY ZONE USING CLUSTERING OF PETRO-PHYSICAL LOG DATA AND CUT-OFF METHODS IN A CARBONATE GAS RESERVOIR

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BAQHERI HASSAN; KHOSHBAKHT FARHAD

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Journal: PETROLEUM RESEARCH Year:2015 | Volume:25 | Issue:81 Page(s): 97-111

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Information Journal Paper

Title

DETERMINING PAY ZONE USING CLUSTERING OF PETRO-PHYSICAL LOG DATA AND CUT-OFF METHODS IN A CARBONATE GAS RESERVOIR

Author(s)

BAQHERI HASSAN | KHOSHBAKHT FARHAD | Issue Writer Certificate

Keywords

PAY ZONEQ2

LOG DATAQ2

CLUSTERINGQ1

CUT OFFQ2

CARBONATE RESERVOIRQ2

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 satu- ration (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.

Cites

USING LOG CLUSTERING TO ZONE FAHLIYAN LIMESTONE FORMATION RESERVOIR IN ONE OF IRAN SOUTHWEST RESERVOIRS

References

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APA: Copy

BAQHERI, HASSAN, & KHOSHBAKHT, FARHAD. (2015). DETERMINING PAY ZONE USING CLUSTERING OF PETRO-PHYSICAL LOG DATA AND CUT-OFF METHODS IN A CARBONATE GAS RESERVOIR. PETROLEUM RESEARCH, 25(81), 97-111. SID. https://sid.ir/paper/114644/en

Vancouver: Copy

BAQHERI HASSAN, KHOSHBAKHT FARHAD. DETERMINING PAY ZONE USING CLUSTERING OF PETRO-PHYSICAL LOG DATA AND CUT-OFF METHODS IN A CARBONATE GAS RESERVOIR. PETROLEUM RESEARCH[Internet]. 2015;25(81):97-111. Available from: https://sid.ir/paper/114644/en

IEEE: Copy

HASSAN BAQHERI, and FARHAD KHOSHBAKHT, “DETERMINING PAY ZONE USING CLUSTERING OF PETRO-PHYSICAL LOG DATA AND CUT-OFF METHODS IN A CARBONATE GAS RESERVOIR,” PETROLEUM RESEARCH, vol. 25, no. 81, pp. 97–111, 2015, [Online]. Available: https://sid.ir/paper/114644/en

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