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- 저자 : Sayed S.R. Moustafa (검색결과 1 건)
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Muhammad Naeem,Muhammad Kamran Jafri,Sayed S.R. Moustafa,Nassir S. AL-Arifi,Shazia Asim,Farhan Khan,Nisar Ahmed 한국지질과학협의회 2016 Geosciences Journal Vol.20 No.1
The Sinjhoro concession is prolific gas-producing block situated on the eastern limb of the Lower Indus Basin in Pakistan. It contains several development and production (D & P) leases, which are producing gas from Cretaceous rocks. The present study aimed to evaluate the structural and petrophysical properties of the Lower Goru Formation using a 2D seismic and well-driven integrated study. A seismic driven time structure map of the Lower Goru Formation was generated, which depicted horst and graben structures oriented predominantly in a NNW-SSE direction. These normal faults are deep seated and potentially provide a vertical primary migration pathway to hydrocarbon flow. A prospective lead of 20 ms was identified in the northwestern portion of the structural map, which could be explored further. Besides this, a RMS amplitude map was generated within the target reservoir level to show the general sand body distribution within the reservoir. Our study revealed that the reservoir quality sands are deposited in the eastern portion of the study area. The identified lead is also located on a fair to good level of sand body which is producing from the well drilled to the south of the prospective area. Additionally, it is strongly recommended to conduct an infill seismic survey over and around the newly identified prospect in order to validate its existence and aerial outspreads. Well correlation, petrophysical data logs (PDLs) and cross-plot techniques were adopted to predict the petrophysical properties of the reservoir level. During the petrophysical study, two prospective zone were identified, with Zone-II showing more promising results for hydrocarbon presence than Zone-I. The present research has shown that integration of seismic attributes with petrophysical calculations can help to identify new prospective leads even in cases where there is less seismic data coverage.
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