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    Zhong Guangjian, Qiang Kunsheng, Yang Jianli, Sun Ming, Zhao Jing, Feng Changmao, Wang Chao, Yi Hai, Zhao Zhongquan, Yan Pin, Liu Dameng. 2024. Hydrocarbon prediction of Mesozoic target structure in Chaoshan Depression based on pre−stack elastic parameter inversion[J]. Geology in China, 51(5): 1748−1760. DOI: 10.12029/gc20200729001
    Citation: Zhong Guangjian, Qiang Kunsheng, Yang Jianli, Sun Ming, Zhao Jing, Feng Changmao, Wang Chao, Yi Hai, Zhao Zhongquan, Yan Pin, Liu Dameng. 2024. Hydrocarbon prediction of Mesozoic target structure in Chaoshan Depression based on pre−stack elastic parameter inversion[J]. Geology in China, 51(5): 1748−1760. DOI: 10.12029/gc20200729001

    Hydrocarbon prediction of Mesozoic target structure in Chaoshan Depression based on pre−stack elastic parameter inversion

    • This paper is the result of oil and gas exploration engineering.
      Objective The structural uplift of Chaoshan depression is controlled by the development degree of sandstone reservoir and tectonic conditions. It’s flank depression provides a source of hydrocarbon, which is the most favorable area for zones of hydrocarbon accumulation. The Mesozoic sandstone reservoirs in the Chaoshan Depression have obvious low−density characteristics based on the elastic parameters of seismic inversion to predict the oil and gas properties, while the density of other lithologies is high.
      Methods The elastic parameters such as density and Poisson's ratio were directly inverted from the pre−stack seismic data, and the development of sandstone reservoirs and the distribution of hydrocarbons were predicted through the density inversion results, so as to realize the prediction of the Mesozoic oil and gas content.
      Results The Poisson's ratio is sensitive to hydrocarbons, and the reservoir has obvious characteristics of low Poisson's ratio after hydrocarbons.
      Conclusions The elastic parameters of seismic inversion are used to predict the oil and gas properties, and the hydrocarbon anomalies are obvious, and the predicted structural uplift has good oil and gas properties. The pre−stack elastic parameter inversion technology greatly reduces the multi−solution and uncertainty of reservoir prediction in well−free areas, and improves the accuracy and reliability of inversion results.
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