1887
Volume 38, Issue 11
  • ISSN: 0263-5046
  • E-ISSN: 1365-2397

Abstract

Abstract

The Lower Goru (LG) sandstone formation of Cretaceous age is a widely distributed proven hydrocarbon producing reservoir in the Lower Indus Basin, Pakistan. The tight early Cretaceous LG massive-sand (MAS) sandstone unit has low porosity and low permeability, which makes lithologies and litho-facies discrimination difficult. Based on a rock physics-driven quantitative seismic reservoir characterization approach, we accurately predict lithology and fluid saturations defined through litho-facies image mapping for the MAS sandstone reservoir unit. The workflow starts by preparing data for consistent petrophysical interpretation and rock physics analysis. Rock physics modelling generates a consistent set of elastic logs and establishes the link between reservoir properties and seismic amplitudes via elastic properties. Fluid substitution analysis indicates that gas sand separation from seismic data is difficult to achieve by conventional inversion methods due to very low porosity and stiffness of the rock frame which exhibits an AVO class I response. Therefore, we employed a novel joint impedance and facies inversion (Ji-Fi®) technology and jointly inverted for acoustic impedance and seismic litho-facies images. Ji-Fi produced a significantly better facies (gas sand) image and identified a potential sweet spot for a future appraisal and development well location.

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2020-11-01
2024-03-28
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References

  1. Ahmad, N., Fink, P., Sturrock, S., Mahmood, T. and Ibrahim, M.
    [2004] Sequence Stratigraphy as Predictive Tool in Lower Goru Fairway, Lower and Middle Indus Platform, Pakistan.PAPG, Annual Technical Conference (ATC), 85–104.
    [Google Scholar]
  2. Alam, S.
    [2011] Potential of Tight Gas in Pakistan: Productive, Economic and Policy Aspects.PAPG – Annual Technical Conference Islamabad Pakistan, November 10–11.
    [Google Scholar]
  3. Ali, A., Younas, A., Ullah, M., Hussain, M., Toqeer, M., Bhatti, S.A. and Khan, A.
    [2019] Characterization of secondary reservoir potential via seismic inversion and attributes analysis; A case study. Journal Petroleum Science and Engineering, 178, 27–293.
    [Google Scholar]
  4. Anwar, H.M., Ali, A. and Alves, T.M.
    [2017] Bayesian inversion of synthetic AV O data to assess fluid and shale content in sand-shale media. Journal of Earth System Science, 126(42), 1–13.
    [Google Scholar]
  5. Baig, M.O., Harris, N.B., Ahmed, H. and Baig, M.O.A.
    [2016] Controls on reservoir diagenesis in the Lower Goru Sandstone Formation, Lower Indus basin, Pakistan. Journal of Petroleum Geology, 39, 29–47.
    [Google Scholar]
  6. Batzle, M. and Wang, Z.
    [1992] Seismic properties of pore fluids. Geophysics, 57, 1396–1408.
    [Google Scholar]
  7. Bhakta, T. and Landrø, M.
    [2014] Estimation of pressure-saturation changes for unconsolidated reservoir rocks with high VP/VS ratio. Geophysics, 79, M35–M54.
    [Google Scholar]
  8. Chiburis, E., Leaney, S., Skidmore, C., Franck, C. and McHugo, S.
    [1993] Hydrocarbon detection with AVO. Oil Field Review5, 42–50.
    [Google Scholar]
  9. Durrani, M.Z.A.
    [2015] Quantitative Seismic Reservoir Characterization of Tight Sands (Granite Wash) Play at Stiles Ranch Field in the Anadarko Basin, Texas (USA). PhD thesis, The University of Tulsa, USA.
    [Google Scholar]
  10. Gardner, G.H.F., Gardner, L.W. and Gregory, A.R.
    [1974] Formation velocity and density – the diagnostic basics for stratigraphic traps: Geophysics, 39, 770–780.
    [Google Scholar]
  11. Gassman, F.
    [1951] Elastic wave through a packing of spheres, Geophysics, 16, 673–685.
    [Google Scholar]
  12. González, E.F.
    [2006] Physical and quantitative interpretation of seismic attributes for rocks and fluids identification. Ph.D. Thesis, Stanford University.
    [Google Scholar]
  13. Greenberg, M.L. and Castagna, J.P.
    [1992] Shear-wave velocity estimation in porous rocks: theoretical formulation, preliminary verification and applications. J. Geophysical Prospecting, 40, 195–209.
    [Google Scholar]
  14. Han, D.H. and Batzle, M.
    [2000] Velocity, density, modulus of hydrocarbon fluids – empirical models, 70th Annual International Meeting: Society of Exploration Geophysics, 1867–1870.
    [Google Scholar]
  15. Jiang, Z., Li, Z., Li, F, Pang, X., Yang, W., Liu, F. and Jiang, F.
    [2015] Tight sandstone gas accumulation mechanism and development models. Petroleum Science. 12, 587–605.
    [Google Scholar]
  16. Kadri, I.B.
    [1994] Petroleum Geology of Pakistan. Pakistan Petroleum Limited. Karachi.
    [Google Scholar]
  17. Kawata, Y.
    and F.Kazuo [2001] Some Predictions of Possible Unconventional Hydrocarbons Availability Until 2100: SPE 68755-MS, SPE Asia Pacific Oil and Gas Conference and Exhibition, April 17–19, Jakarta, Indonesia.
    [Google Scholar]
  18. Kazmi, A.H. and Jan, M.Q.
    [1997] Geology and Tectonics of Pakistan. Graphic Publishers, Karachi, Pakistan.
    [Google Scholar]
  19. Kemper, M. and Gunning, J.
    [2014] Joint Impedance and Facies Inversion – Seismic inversion redefined. First Break, 32, 89–95.
    [Google Scholar]
  20. McLaughlan, G. J.
    [2000] Finite Mixture Models. Wiley.
    [Google Scholar]
  21. Munir, K., Iqbal, M.A., Farid, A. and Shabih, S.M.
    [2011] Mapping the productive sands of Lower Goru Formation by using seismic stratigraphy and rock physical studies in Sawan area, southern Pakistan: a case study. Journal of Petroleum Exploration and Production Technology, 1, 33–42.
    [Google Scholar]
  22. Naeini, E.Z. and Exley, R.
    [2016] Quantitative interpretation using facies-based seismic inversion.SEG international exposition and 86th annual meeting, 2906–2910.
    [Google Scholar]
  23. Ødegaard, E. and Avseth, P.
    [2003] Interpretation of elastic inversion results using rock physics templates Proc. of the 65th EAGE Ann. Conf. and Exhibition.
    [Google Scholar]
  24. Pelham, A.
    [2015] Modeling processed seismic data to improve seismic facies prediction. Interpretation, 3, 1N–Y1.
    [Google Scholar]
  25. Qayyum, F., Hanif, M., Mujtaba, M., Wahid, S. and Ali, F.
    [2016] Evaluation of source rocks using one dimensional maturity modeling in Lower Indus Basin, Pakistan. Arabian Journal of Geosciences, 9, 252.
    [Google Scholar]
  26. Rasolovoahangy, R. E.
    [2002] Rock Physics of Low-Porosity Sandstones for Seismic Reservoir Characterization. Ph.D. Thesis, Stanford University.
    [Google Scholar]
  27. Raza, A., Gholami, R., Meiyu, G., Rasouli, V., Bhatti, A.A. and Rezaee, R.
    [2019] A review on the natural gas potential of Pakistan for the transition to a low-carbon future, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 41, 1149–1159.
    [Google Scholar]
  28. Sams, M. and Carter, D.
    [2017] Stuck between a rock and a reflection: A tutorial on low-frequency models for seismic inversion. Interpretation, 5, 1M–T277.
    [Google Scholar]
  29. Smith, T.M.
    [2011] Practical Seismic Petrophysics: The effective use of log data for seismic analysis. The Leading Edge, 30, 1128–1141.
    [Google Scholar]
  30. Talib, M., Durrani, M.Z.A., Mathur, A., Bekti, R.P.A. and Ting, J.
    [2020] Integrated Petrophysics and Rock Physics Workflow Validated by Well to Seismic Tie and AVO Modelling.Fifth EAGE workshop on Rock physics, Milan Italy, February 10–12, 2020.
    [Google Scholar]
  31. Veeken, P.C.H. and Silva, M.D.
    [2004] Seismic inversion methods and some of their constraints. First break, 22, 15–38.
    [Google Scholar]
  32. Wandrey, C.J., Law, B.E. and Shah, H.A.
    [2004] Sembar Goru/Ghazij composite total petroleum system, Indus and Sulaiman-Kirthar geologic provinces, Pakistan and India.U.S. Geological Survey Bulletin 2208-C.
    [Google Scholar]
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