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A Method for Well Logging Identification and Evaluation of Low-Resistivity Gas Hydrate Layers

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Abstract

The Muli area has dense lithology, high hardness, poor porosity and permeability, and well-developed micro-fractures, which is different from other gas hydrate regions with unconsolidated sediment characteristics. With the gradual deepening of gas hydrate scientific research in the Muli area, some unique low-resistivity gas hydrate phenomena have been discovered. The understanding of the genesis mechanism of low-resistivity gas hydrate is not clear, which makes it difficult to identify gas hydrate layers and adversely affects the evaluation of reservoir parameters and reserves prediction. In this investigation, the well logging response law of pore-filling and fracture-filling gas hydrate reservoirs is systematically combined and the associated reservoir characteristics relationships are evaluated as a function of lithology, physical properties, reservoir space, gas hydrate and fluid distribution characteristics. Then, the correlation between cementation index and pore structure complexity index was fitted. Finally, a new gas hydrate saturation calculation model is proposed. The results show that the new saturation calculation model is in good agreement with the well logging interpretation of gas hydrate, which can identify low-resistivity gas hydrate effectively. The results of this study thus assist in terms of reliable gas hydrate exploration in the Muli area.

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Funding

This work was supported by the National Natural Science Foundation of China (grant number 41874138) and China Postdoctoral Science Foundation Funded Project (grant number 2021M700525).

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Authors and Affiliations

  1. School of Geological Engineering and Geomatics, Chang’an University, Xi’an, 710054, China

    Huaimin Dong

  2. National Engineering Research Center of Offshore Oil and Gas Exploration, Beijing, 100028, China

    Huaimin Dong

  3. School of Geosciences, China University of Petroleum, Qingdao, 266580, China

    Jianmeng Sun

  4. Department of Petroleum Engineering, Khalifa University, 127788, Abu Dhabi, United Arab Emirates

    Muhammad Arif

  5. College of Science, China University of Petroleum, Qingdao, 266580, China

    Xuefeng Liu

  6. College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao, 266590, China

    Naser Golsanami

  7. Key Lab of Submarine Geosciences and Prospecting Techniques, Ministry of Education, Ocean University of China, Qingdao, 266100, China

    Weichao Yan

  8. Institute of Unconventional Oil and Gas, Northeast Petroleum University, Daqing, 163318, China

    Likai Cui

  9. Department of Earth Science and Engineering, Imperial College London, London, SW7 2BP, UK

    Yihuai Zhang

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  1. Huaimin Dong
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Contributions

The authors’ detailed responsibilities are as follows: HD: methodology, writing-original draft preparation, funding acquisition; JS: conceptualization, supervision, funding acquisition; MA: writing-reviewing and editing; XL: writing-review, data curation; NG: writing-reviewing and editing; WY: methodology, data processing; LC: investigation, validation; YZ: supervision, writing-reviewing and editing.

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Correspondence to Huaimin Dong.

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Dong, H., Sun, J., Arif, M. et al. A Method for Well Logging Identification and Evaluation of Low-Resistivity Gas Hydrate Layers. Pure Appl. Geophys. 179, 3357–3376 (2022). https://doi.org/10.1007/s00024-022-03120-x

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