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Integration Study of Reservoir Rock Typing and Reservoir Prediction in TM Oil Field

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Proceedings of the International Field Exploration and Development Conference 2017

Part of the book series: Springer Series in Geomechanics and Geoengineering ((SSGG))

Abstract

Reservoir rock typing and reservoir prediction are very important in reservoir characterization. Understanding the distribution of different types of reservoir plays an important role in successful prediction of reservoir performance. This paper focuses on the integration study of rock typing and reservoir prediction. A detailed workflow has been demonstrated through a case study for a highly heterogeneous reservoir in TM oil field. Three different reservoir types have been distinguished by their distinct storage and flow capacity characteristics summarized from mercury injection capillary pressure curves and combining rock-pore-throat size distribution curves. Acoustic impedance of these three different types of reservoirs has been analyzed, and their distribution characteristics have been predicted through geostatistical inversion calibrated by core and logging data. All this provide an effective and perspective geological reference for reservoir characterization in TM field. And it also can be used in other similar reservoirs.

Copyright 2017, Shaanxi Petroleum Society.

This paper was prepared for presentation at the 2017 International Field Exploration and Development Conference in Chengdu, China, 21–22 September 2017.

This paper was selected for presentation by the IFEDC&IPPTC Committee following review of information contained in an abstract submitted by the author(s). Contents of the paper, as presented, have not been reviewed by the IFEDC&IPPTC Committee and are subject to correction by the author(s). The material does not necessarily reflect any position of the IFEDC&IPPTC Committee, its members. Papers presented at the Conference are subject to publication review by Professional Committee of Petroleum Engineering of Shaanxi Petroleum Society. Electronic reproduction, distribution, or storage of any part of this paper for commercial purposes without the written consent of Shaanxi Petroleum Society is prohibited. Permission to reproduce in print is restricted to an abstract of not more than 300 words; illustrations may not be copied. The abstract must contain conspicuous acknowledgment of IFEDC&IPPTC. Contact email: paper@ifedc.org or paper@ipptc.org.

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References

  1. Gunter GW, Finneran JM, Hartmann DJ, Miller JD (1997) Early determination of reservoir flow units using an integrated petrophysical method. In: Paper SPE 38679 presented at the SPE annual technical conference and exhibition in San Antonio, Texas, 5–8 Oct 1997. https://doi.org/10.2118/38679-ms

  2. Gomes JS, Ribeiro MT, Strohmenger CJ, Negahban S, Kalam MZ (2008) Carbonate reservoir rock typing—the link between geology and SCAL. In: Paper SPE 118284, international petroleum exhibition and conference, Abu Dhabi, UAE, 3–6 Nov 2008

    Google Scholar 

  3. Rushing JA, Newsham KE, Blasingame TA (2008) Rock typing: keys to understanding productivity in tight gas sands. In: Paper SPE 114164, SPE unconventional reservoirs conference, Keystone, Colorado, 10–12 Feb 2008

    Google Scholar 

  4. Basioni M, Negahban S, Dawood A, Mahdi AE, Bahamaish J (2008) Reservoir rock typing from crest to flank. In: Paper SPE 117728, international petroleum exhibition and conference, Abu Dhabi, UAE, 3–6 Nov 2008

    Google Scholar 

  5. Chen Z, Zhu G (1997) Research progress on the method of seismic reservoir prediction. Prog Geophys 4:006

    Google Scholar 

  6. Sun S, Peng S (2007) Geostatistical inversion method and application in the prediction of thin reservoirs. J Xi’an Shiyou Univ Nat Sci Edit 22(1):41–44

    Google Scholar 

  7. Bian S, Di B, Dong Y et al (2011) Application of geostatistical inversion in reservoir prediction in the third member of Shahejie Formation, Baimiao Gas-field, Dongpu Depression. Oil Geophys Prospect 45(3):399–405

    Google Scholar 

  8. Torres VC, Victoria M (1999) Trace-based and geostatistical inversion of 3D seismic data for thin-sand delineation: an application in San Jorge Basin, Argentina. Lead Edge 18(9):1070–1077

    Article  Google Scholar 

  9. Carlos TV, Raghu K, Chunduru A (2003) Integrated interpretation of wireline and 3d seismic data to delineate thin oil producing sands in San Jorge Basin. SPE 87304

    Google Scholar 

  10. Li F, Ji Z, Zhao G et al (2007) Methodology and application of stochastic seismic inversion. Pet Explor Dev 34(4):451–455

    Google Scholar 

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Correspondence to Rutai Duan .

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Duan, R., Fan, L., Han, G. (2019). Integration Study of Reservoir Rock Typing and Reservoir Prediction in TM Oil Field. In: Qu, Z., Lin, J. (eds) Proceedings of the International Field Exploration and Development Conference 2017. Springer Series in Geomechanics and Geoengineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-7560-5_36

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  • DOI: https://doi.org/10.1007/978-981-10-7560-5_36

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  • Online ISBN: 978-981-10-7560-5

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