4.7 Article

Prediction of Permian karst reservoirs in the Yuanba gas field, northern Sichuan Basin, China

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MARINE AND PETROLEUM GEOLOGY
卷 154, 期 -, 页码 -

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ELSEVIER SCI LTD
DOI: 10.1016/j.marpetgeo.2023.106319

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Karst reservoir; Sichuan Basin; Trend surface analysis; Yuanba gas field

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By utilizing combined geological and geophysical methods, the characteristics, distribution, and controlling factors of karst reservoirs in the Yuanba gas field of the northern Sichuan Basin were studied. It was found that the seismic attributes, geophysical response, and karst distribution exhibited a strong correlation with paleo geomorphology, fault distribution, and gas contents.
Karst reservoir has great hydrocarbon potential, however karst reservoir prediction is inhibited by the strong lateral and vertical heterogeneity of karstification which in turn results in recognition difficulty when geological and geophysical methods are used in isolation. Combined geological and geophysical methods, including core observation, thin section analysis, well log interpretation, seismic attributes and seismic inversion are applied to understand the depositional environment, types of karstification, the geophysical response and distribution of karst reservoir and the controls over and evolution model of karst reservoir in Permian Yuanba gas field, northern Sichuan Basin. The results show that there are four types of major seismic facies recognized in the study area, which correspond to platform margin reef, carbonate platform, platform margin inter-bay and platform margin slope. Karstification can be divided into three zones: the supergene karst zone, the vertical seepage zone and the horizontal underflow zone, among which the supergene karst zone have the strongest karstification. Karstification is highlighted with low seismic impedance, low Poisson's ratio, and high seismic attenuation on seismic inversion as well as micro scale paleo geomorphology recognized by trend surface analysis. By comparing the distribution of karstification with paleo geomorphology, fault distribution and gas contents, it can be observed that the karstification have a good matching relationship with these factors. The dominant type of karstification is epigenic karst, which is strongly influenced by depositional facies and paleo geomorphology. Fracture networks have contributed to karstification but are not the dominant factor of karst formation. The integration of geological and geophysical methods can predict karst reservoir with high accuracy within large area and can be applied to karst reservoir hydrocarbon exploration of similar geological setting.

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