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Recognition of Sand Bodies Based on Their Characteristics and Lithology

  • INNOVATIVE TECHNOLOGIES OF OIL AND GAS
  • Published:
Chemistry and Technology of Fuels and Oils Aims and scope

With the deepening of oil and gas exploration and development, the conventional seismic inversion technology has certain limitations for the fine research of complex reservoirs, and the actual production has high requirements for seismic resolution. The waveform indication technology is based on the waveform phase control mode, and uses the seismic waveform instead of the variogram. It can not only invert the wave impedance curve and realize high-precision prediction of the reservoir, but also simulate the characteristic curve reflecting the sensitivity of the reservoir to realize the reservoir under different parameters. characterization. Taking the second member of the Sangonghe Formation in the L block of the Manan slope in the Junggar Basin as an example, the sandstone changes rapidly laterally, has a small thickness, and has low conventional inversion resolution, making it unsuitable for predicting thin reservoirs. The waveform indication inversion was carried out to describe the distribution of the sandstone in the target layer, and the results were in line with geological understanding. After analyzing the relationship between the four properties of the reservoir, the oiliness of the sandstone in the target layer has a certain fitting relationship with the amplitude difference of the spontaneous potential curve. The reservoir indication simulation with the spontaneous potential curve as the characteristic curve was carried out. On the basis of the waveform indication inversion of the sandstone, further Oily sandstones were identified, and the simulation results were in good agreement with the drilling data.

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Authors and Affiliations

  1. School of Geosciences, Yangtze University, Wuhan, China

    Jinqiang Ma, Lijuan Liu, Yuan Qi & Fuhua Gong

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  1. Jinqiang Ma
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  2. Lijuan Liu
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  3. Yuan Qi
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  4. Fuhua Gong
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Correspondence to Fuhua Gong.

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Translated from Khimiya i Tekhnologiya Topliv i Masel, No. 3, pp. 113–117 May – June, 2023

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Ma, J., Liu, L., Qi, Y. et al. Recognition of Sand Bodies Based on Their Characteristics and Lithology. Chem Technol Fuels Oils 59, 569–576 (2023). https://doi.org/10.1007/s10553-023-01557-x

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  • DOI: https://doi.org/10.1007/s10553-023-01557-x

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