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Well logging evaluation of fine-grained hydrate-bearing sediment reservoirs: Considering the effect of clay content

Petroleum Science 2023年第2期20卷 879-892页

作者： Lin-Qi Zhu Jin Sun Xue-Qing Zhou Qing-Ping Li Qi Fan Song-Lin Wu Shi-Guo Wu Laboratory of Marine Geophysics and Georesources of Hainan Province Institute of Deep-sea Science and EngineeringChinese Academy of SciencesSanya572000HainanChina Laboratory for Marine Geology Qingdao National Laboratory for Marine Science and TechnologyQingdao266061ShandongChina Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) ZhuhaiGuangdong519000China State Key Laboratory of Natural Gas Hydrates Beijing100028China China National Offshore Oil Corporation Research Institute Co.Ltd. Beijing100028China

Hydrate reservoirs are different from the host reservoirs of all other fossil energy sources because the characteristics of hydrate reservoirs are generally controlled by deep-sea fine-grained sedimentation. In such reservoirs, the reliability of the classical logging evaluation models established for diagenetic reservoirs is questionable. This study used well W8 in the Qiongdongnan Basin to explore the clay content, porosity, saturation, and hydrate-enriched layer identification of a logging-based hydrate reservoir, and it was found that considering the effect of the clay content on the log response is necessary in the logging evaluation of hydrate reservoirs. In the evaluation of clay content, a method based on the optimization inversion method can obtain a more reliable clay content than other methods. Fine-grained sediment reservoirs have a high clay content, and the effect of clay on log responses must be considered when calculating porosity. In addition, combining density logging and neutron porosity logging data can obtain the best porosity calculation results, and the porosity calculation method based on sonic logging predicted that the porosity of the studied reservoir was low. It was very effective to identify hydrate layers based on resistivity, but the clay distribution and pore structure will also affect the relationship between resistivity, porosity and saturation, and it was suggested that the factors effecting the resistivity of different layers should be considered in the saturation evaluation and that a suitable model should be selected. This study also considered the lack of clarity of the relationships among the lithology, physical properties, hydrate-bearing occurrence properties, and log response properties of hydrate reservoirs and the lack of specialized petrophysical models. This research can directly help to improve hydrate logging evaluation.

关键词： Gas hydrate Well logging Porosity Saturation shale distribution form

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