Analysis on the overpressure characterization with respect to depositional environment facies: Case Study in Miri Area, Baram Delta

Hanapiah, Nurhajeerah Mhd; Yusoff, Wan Ismail Wan; Zakariah, Muhammad Noor Amin

doi:10.1088/1755-1315/88/1/012018

Cited by 2 publications

(1 citation statement)

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“…It is known that overpressure is mainly generated by under compaction due to the fast rate of deposition of less permeable shales in many tertiary basins [6]. However, two types of overpressure mechanisms were suggested in the study area; the disequilibrium compaction in the pro-delta shales, and fluid expansion in the outer shelf of the region [11]. [12].…”

Section: B Distribution Of Overpressure In the Study Areamentioning

confidence: 91%

Pore Pressure Prediction using Well-Logging Data in the West Baram Delta, Offshore Sarawak Basin, Malaysia

Asfha*,

Gebretsadik,

Wan Yusoff

2019

IJRTE

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Abstract: Well-predicted pore pressure is vital throughout the lifetime of an oil and gas field starting from exploration to the production stage. Here, we studied a mature field where enhanced oil recovery is of high interest and pore pressure data is crucial. Moreover, the top of the overpressure zone in west Baram Delta starts at different depths. Hence, valid pore pressure prediction prior to drilling is a prerequisite for reducing drilling risks, increasing efficient reservoir modeling and optimizing costs. Petrophysical logs such as gamma-ray, density logs, and sonic transit time were used for pore pressure prediction in the studied field. Density logs were used to predict the overburden pressure, whereas sonic transit time, and gamma-ray logs were utilized to develop observed shale compaction trend line (OSCTL) and to establish a normal compaction trend line (NCTL). Pore pressure was predicted from a locally observed shale compaction trend line of 6 wells using Eaton's and Miller's methods. The predicted pore pressure using Eaton's DT method with Eaton's exponent 3 showed a better matching with the measured pressure acquired from the repeat formation test (RFT). Hence, Eaton's DT method with Eaton exponent 3 could be applied to predict pore pressure for drilling sites in the study area and vicinity fields with similar geological settings.

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Section: B Distribution Of Overpressure In the Study Areamentioning

confidence: 91%