Rock-Type Definition and Pore Characterization of Tight Carbonate Rocks Based on Thin Sections and MICP and NMR Experiments

  • Fei Tian
  • Weimin Wang
  • Naigui Liu
  • Jiaqi Jiang
  • Congkai Niu
  • Yuandong Zhang
  • Yaxi Li
Original Paper
  • 26 Downloads

Abstract

Thick tight Ordovician carbonate rocks are present at depths exceeding 5300 m in the Tahe oilfield and their matrix is considered to contain no storage space. An integrated petrographical and petrophysical study was conducted on a set of 25 tight carbonate core samples from Ordovician strata, covering a wide range of lithologies and textures. Six carbonate rock types were characterized by integrating both petrographical and petrophysical data, including thin-section observations and porosity, permeability, mercury injection capillary pressure and nuclear magnetic resonance (NMR) measurements. We found that thick grainstone and limestone with half-filled fractures exhibited good reservoir properties. NMR testing is an invaluable tool for characterizing pore structures in tight carbonate rocks. For example, six rock types can be identified from the NMR T2 distributions and the changes in pore volume under different pressures (up to 20 MPa) can be calculated. NMR technology can be used to perform rapid and accurate rock-type identification and pore network evaluation in tight carbonate rocks. The results provide an experimental foundation for NMR logging interpretations and advance the understanding of geological and geophysical characteristics of ultra-deep carbonate reservoirs.

Notes

Acknowledgements

This study was supported by National Basic Research Program of China (973 Program, Grant No. 2015CB250902), the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA14040404), the Chinese National Major Fundamental Research Developing Project (Grant No. 2017ZX05008-004), the Chinese National Natural Science Foundation (Grant Nos. 41502149, and U1663204) and the China Postdoctoral Foundation Funded Project (Grant No. 2015M570148). We are deeply grateful to the Tahe Oilfield Branch Company SINOPEC for supplying the data and allowing this paper to be published. We thank two anonymous reviewers for their thorough and critical reviews and suggestions, which have improved the manuscript.

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Copyright information

© Springer-Verlag GmbH Austria, part of Springer Nature 2018

Authors and Affiliations

  • Fei Tian
    • 1
  • Weimin Wang
    • 2
  • Naigui Liu
    • 1
  • Jiaqi Jiang
    • 2
  • Congkai Niu
    • 3
  • Yuandong Zhang
    • 2
  • Yaxi Li
    • 3
  1. 1.Key Laboratory of Petroleum Resources Research, Institute of Geology and GeophysicsChinese Academy of SciencesBeijingChina
  2. 2.Institute of Quantum Electronics of Peking UniversityBeijingChina
  3. 3.College of GeosciencesChina University of PetroleumBeijingChina

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