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Application of instantaneous spectral analysis and acoustic impedance wedge modeling for imaging the thin beds and fluids of fluvial sand systems of Indus Basin, Pakistan

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Abstract

Fluvial sand frameworks have magnificent oil and gas reservoirs far and wide. The reservoir sands are exceedingly compartmentalized by the broadened fault framework. So, to distinguish the thin beds of gas-bearing facies is an assessment for band-limited stratigraphic investigation. To conquest this issue, we execute the progressed seismic ascribe methods to the 3D seismic information of the Miano area of the Indus Basin, SW Pakistan. Apparatuses, for example, the seismic amplitude and coherence are discovered less exact for reservoir description. Sweetness analysis indicates the gas-bearing reservoir facies, which are compartmentalized by the NNW–SSE oriented normal fault system. Yet, the continuous wavelet transforms (CWT) of spectral decomposition (SD) separates the thick and thin sand beds of channel sand and point bars, which were not unsurprising utilizing the band-limited seismic properties. 22 Hz demonstrates the best amplitude tuning cube, which recognizes the profitable clastic (sand-filled barrier bars) sequences. The net-to-gross (N/G) examination uncovers the barrier bars as the chief hydrocarbon-bearing facies. 22 to 37 Hz frequencies confirm the occurrence of hydrocarbon sands. The acoustic impedance (AI) wedge model settles the thin beds of barrier bars sands, which are encased inside the shales, and affirm the suggestions for gas-bearing stratigraphic traps.

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References

  • Ahmed N, Paul F, Sturrock S, Mahmood T and Ibrahim M 2004 Sequence stratigraphy as a predictive tool in Lower Guru Fairway, Lower and Middle Indus Platform, Pakistan; Pakistan Association of Petroleum Geoscientist, Annual Technical Conference, October 8–9, pp. 17–18.

  • Ahmed W, Azeem A, Abid M F, Rasheed A and Aziz K 2013 Mesozoic structural architecture of the Middle Indus Basin, Pakistan – controls and implications; Pakistan Association of Petroleum Geoscientist/Society of Petroleum Engineers Annual Technical Conference, Islamabad, Pakistan, pp. 1–113.

  • Asim S, Zhu P, Naseer M T, Abbasi S A and Rehman M 2016 An integrated study to analyze the reservoir potential using stochastic inversion, model based inversion and petrophysical analysis: A case study from the Southern Indus Basin, Pakistan; J. Earth Sci., https://doi.org/10.1007/s12583-016-0903-1.

  • Castagna J P 2006 Comparison of spectral decomposition methods; First Break 24 75–79.

    Google Scholar 

  • Castagna J, Sun S and Siegfried R 2003 Instantaneous spectral analysis: Detection of low-frequency shadows associated with hydrocarbons; The Lead Edge 22 120–127, https://doi.org/10.1190/1.1559038/.

    Article  Google Scholar 

  • Chen G, Matteucci G, Fahmi B and Finn C 2008 Spectral decomposition response to reservoir fluids from a deep water West Africa reservoir; Geophysics 73 C23–C30.

    Article  Google Scholar 

  • Chopra S and Marfurt K 2005 SEG 75th Anniversary, Seismic attributes – a historical perspective; Geophysics 70 3–28.

    Article  Google Scholar 

  • Chopra S and Marfurt K J 2006 Seismic attribute mapping of structure and stratigraphy; Society of Exploration Geophysics.

  • Chopra S, Misra S and Marfurt K 2011 Coherence and curvature attributes on preconditioned seismic data; The Lead Edge 30(4) 386–393.

    Article  Google Scholar 

  • Evans W S 1996 Technologies for multidisciplinary reservoir characterization; J. Pet. Tech. 48(1) 24–25.

    Google Scholar 

  • Farfour M, Yoon W J and Jo Y 2012 Spectral decomposition in illuminating thin sand channel reservoir, Alberta, Canada; Canad. J. Pure Appl. Sci. 6(2) 1981–1990.

    Google Scholar 

  • Galloway W E and Hobday D K 1996 Terrigenous clastic depositional systems. Applications to fossil fuel and groundwater resources; Springer-Verlag, pp. 400–417.

  • Goloshubin G, Vanschuyver C, Korneev V, Silin D and Vingalov V 2006 Reservoir imaging using low frequencies of seismic reflections; The Lead Edge 25 527–531.

    Article  Google Scholar 

  • Hynes N J 1991 Dictionary of petroleum exploration, drilling, and production; Tulsa, Oklahoma: PennWell.

    Google Scholar 

  • Kadri I B 1995 Petroleum geology of Pakistan; Graphic Publishers, Karachi, pp. 93–108.

    Google Scholar 

  • Krois P, Mahmood T and Milan G 1998 Miano field, Pakistan, a case history of model driven exploration; Proceedings of the Pakistan Petroleum Convention, Pakistan Association of Petroleum Geologists, Islamabad, pp. 111– 131.

  • Landrø M 2011 Petroleum geoscience: From sedimentary environments to rock physics; Springer-Verlag, Berlin Heidelberg, Germany, pp. 360–373.

    Google Scholar 

  • Laughlin K, Garossino P and Partyka G 2003 Spectral decomposition for seismic stratigraphic patterns; Search and Discovery, article 40096, 4p.

  • Lynch S and Lines L 2004 Combined attributes displays; 72nd Annual International Meeting, SEG, expanded abstracts, pp. 1953–1956.

  • Miall A D 2006 The geology of fluvial deposits sedimentary facies, basin analysis, and petroleum geology; Springer, pp. 340–342.

  • Naseer M T and Asim S 2017a Continuous wavelet transforms of spectral decomposition analyses for fluvial reservoir characterization of Miano Gas Field, Indus Platform, Pakistan; Arab. J. Geosci. 10(210), https://doi.org/10.1007/s12517-017-2920-5.

  • Naseer M T and Asim S 2017b Detection of cretaceous incised-valley shale for resource play, Miano gas field, SW Pakistan: Spectral decomposition using continuous wavelet transform; J. Asian Earth. Sci147 358–377.

    Article  Google Scholar 

  • Naseer M T, Asim S and Ahmed S 2015 Spectral decomposition and seismic attributes for clastic reservoir analysis of Miano Gas Field, Southern Indus Basin, Pakistan; Sindh Univ. Res. J. (Sci. Ser.) 47(1) 35–40.

    Google Scholar 

  • Partyka G, Gridley J and Lopez J 1999 Interpretational applications of spectral decomposition in reservoir characterization; The Lead Edge 18(3) 353–360.

    Article  Google Scholar 

  • Puryear ChI and Castagna J P 2008 Layer-thickness determination and stratigraphic interpretation using spectral inversion: Theory and application; Geophysics 73(2) 37–48.

    Article  Google Scholar 

  • Radovich B J and Oliveros R B 1998 3-D sequence interpretation of seismic instantaneous attributes from the Gorgon field; The Lead Edge 17 1286–1293.

    Article  Google Scholar 

  • Rider M H 1986 The geological interpretation of well logs; Blackie, New York.

    Google Scholar 

  • Sahu S and Saha D 2014 Geomorphologic, stratigraphic and sedimentologic evidences of tectonic activity in Sone–Ganga alluvial tract in Middle Ganga Plain, India; J. Earth Syst. Sci. 123(6) 1335–1347.

    Article  Google Scholar 

  • Singavarapu A, Singh S K, Alvarez M, Al-Owihan H, Al-Ajmi A, and Al-Rashidi S 2014 Seismic attributes and wave form classification: An emerging tool for exploration of shallow oil play, Kuwait. In: SEG Technical Program Expanded Abstracts 2014 (pp. 1538–1542). Society of Exploration Geophysicists.

  • Sinha S, Routh P S, Anne P D and Castagna J P 2005 Spectral decomposition of seismic data with continuous-wavelet transform; Geophysics 70 19–25.

    Article  Google Scholar 

  • Tayyab M N and Asim S 2017 Application of spectral decomposition for the detection of fluvial sand reservoirs, Indus Basin, SW Pakistan; Geosci. J. 21(4) 595–605.

    Article  Google Scholar 

  • Tayyab M N, Asim S, Siddiqui M M, Naeem M, Solange S H and Babar F K 2017 Seismic attributes’ application to evaluate the Goru clastics of Indus Basin, Pakistan; Arab. J. Geosci. 10(7) 158.

    Article  Google Scholar 

  • Xiao Y, Zhou G and Yang F S 2016 2D numerical modeling of meandering channel formation; J. Earth Syst. Sci. 125 (2) 251–267.

    Article  Google Scholar 

  • http://petrowiki.org/2015/Reservoir_geology

  • http://wiki.aapg.org/Lithofacies_and_environmental_analyHrBsis_of_clastic_depositional_systemsHrB; 2016.

Download references

Acknowledgements

Authors are thankful to the Directorate General of Petroleum Concession (DGPC) for giving the permission to publish this paper. We are also thankful to Department of Earth Sciences, Quaid-I-Azam University and LMKR for providing the research data. We are highly grateful to the respected reviewers for their positive criticism, which made our manuscript in an excellent form. Seismic-micro-technology (SMT) Kingdom platform support is highly acknowledged during this research project.

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Correspondence to Muhammad Tayyab Naseer.

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Corresponding editor: N V Chalapathi Rao

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Naseer, M.T., Asim, S. Application of instantaneous spectral analysis and acoustic impedance wedge modeling for imaging the thin beds and fluids of fluvial sand systems of Indus Basin, Pakistan. J Earth Syst Sci 127, 97 (2018). https://doi.org/10.1007/s12040-018-0997-1

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  • DOI: https://doi.org/10.1007/s12040-018-0997-1

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