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3-D predrill overpressure prediction using prestack depth-migrated seismic velocity in a field of southwestern Malay Basin
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  • 作者:Iftikhar Ahmed Satti ; Deva Ghosh ; Wan Ismail Wan Yusoff
  • 关键词:Overpressure ; Interval velocity ; Anisotropy ; Depth migration ; Prediction
  • 刊名:Arabian Journal of Geosciences
  • 出版年:2015
  • 出版时间:September 2015
  • 年:2015
  • 卷:8
  • 期:9
  • 页码:7387-7398
  • 全文大小:6,464 KB
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  • 作者单位:Iftikhar Ahmed Satti (1)
    Deva Ghosh (1)
    Wan Ismail Wan Yusoff (1)

    1. Department of Geosciences, Universiti Teknologi PETRONAS, Perak, Malaysia
  • 刊物类别:Earth and Environmental Science
  • 出版者:Springer Berlin Heidelberg
  • ISSN:1866-7538
文摘
Quantitative predrill pore pressure prediction is very important for reducing the drilling hazards. In many Tertiary basins, generation of overpressure is mainly by compaction disequilibrium due to high deposition rate and low permeability in shale. In the Malay Basin, high geothermal gradient (i.e., 40-0 °C/km) and high heat flow also play an important role in generating overpressure at shallow depth. This study describes the utilization of 3-D prestack depth-migrated seismic interval velocity for predrill pore pressure prediction in a field of southwestern Malay Basin. The quality of 3-D prestack depth-migrated seismic interval velocity was enhanced by calibration with check-shot data. Modified Gardner’s equation was used to generate the 3-D density cube from the interval velocity. The Eaton and Bowers methods were used to compute and predict pore pressure values from the seismic velocity. The Eaton method with standard exponent for seismic velocity gave good prediction in the shallower zone where overpressure is caused by undercompaction mechanism, whereas underpredicted the high pore pressure at the greater depth where fluid expansion is the cause of overpressure. However, the overpressures were predicted quite well by applying correction on the Eaton method for fluid expansion mechanism. Keywords Overpressure Interval velocity Anisotropy Depth migration Prediction

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