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川西深层碳酸盐岩岩溶储层预测
引用本文:杜劲松,兰雪梅,黄天俊,张连进,文雯,王天琪,苏世为,温梦晗. 川西深层碳酸盐岩岩溶储层预测[J]. 科学技术与工程, 2021, 21(4): 1350-1361. DOI: 10.3969/j.issn.1671-1815.2021.04.015
作者姓名:杜劲松  兰雪梅  黄天俊  张连进  文雯  王天琪  苏世为  温梦晗
作者单位:北京阳光杰科科技股份有限公司,北京100192;西南油气田分公司勘探开发研究院,成都610041;西南油气田分公司勘探开发研究院,成都610041;西南油气田分公司勘探开发研究院,成都610041;西南油气田分公司勘探开发研究院,成都610041;西南油气田分公司勘探开发研究院,成都610041;西南油气田分公司勘探开发研究院,成都610041;西南油气田分公司勘探开发研究院,成都610041
摘    要:川西北部九龙山地区深层茅口组碳酸盐岩沉积后遭受剥蚀和淋滤溶蚀作用,岩溶体储层较发育.茅口组作为下二叠统重要产气层系,具有巨大的天然气勘探潜力.为了进一步提高岩溶体储层的预测精度,通过开展岩溶体上覆地层反射结构分析,茅二段岩溶体地震相研究,茅口组剥蚀后的微古地貌恢复,岩溶体地震属性特征分析等研究工作,对茅二段岩溶体分布情...

关 键 词:岩溶体  古地貌恢复  地震反射结构  地震属性  储层预测
收稿时间:2020-04-29
修稿时间:2020-11-17

Karst Reservoir Prediction In the Deep of Western Sichuan Basin
Du Jinsong,Lan Xuemei,Huang Tianjun,Zhang Lianjin,Wen Wen,Wang Tianqi,Su Shiwei,Wen Menghan. Karst Reservoir Prediction In the Deep of Western Sichuan Basin[J]. Science Technology and Engineering, 2021, 21(4): 1350-1361. DOI: 10.3969/j.issn.1671-1815.2021.04.015
Authors:Du Jinsong  Lan Xuemei  Huang Tianjun  Zhang Lianjin  Wen Wen  Wang Tianqi  Su Shiwei  Wen Menghan
Affiliation:Beijing Sunshine Geo-Tech Co,Ltd;Exploration and Production Research Institute,Southwest Oil Gas Field Company
Abstract:Carbonates of Maokou formation in the Jiulongshan area, western Sichuan basin, were subject to long-term weathering, denudation and dissolution, leading to karst developed. As an important lower Permian gas producer, Maokou formation has great potential for natural gas exploration. In order to improve the the prediction accuracy of karst reservoir, the distribution of karst body is predicted qualitatively by analyzing the seismic reflection structure of the overlying strata of karst body, studying the seismic facies of the 2nd Maokou member(P1m2), rebuilding the paleogeomorphology, analyzing the characteristics of the seismic attributes of karst body and so on. Gamma inversion was used to predict the biological beach thickness distribution of P1m2 member, and on this basis, multi-attributes inversion was used to quantitatively predict the karst reservoir. The result shows that the prediction method combined with qualitative and quantitative prediction is more effective and reliable for the characterization of karst reservoir, thus providing an important basis for the development of Maokou formation in Jiulongshan area.
Keywords:karst   paleogeomorphology rebuilding   seismic reflection structure   seismic attribute   reservoir prediction
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