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应用油气藏规模序列法预测四川盆地的天然气资源 被引量:1

Prediction of natural gas resource in Sichuan basin by means of reservoir scale sequence
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摘要 本文应用油气藏规模序列法对四川盆地终极天然气资源量进行预测。结果显示,四川盆地天然气存在236个气藏,总天然气资源量期望值为57718×108 m3;待发现气藏110个,待发现气藏地质资源量40392×108 m3,占总天然气资源量69.98%。其中,1000×108 m3以上待发现气藏17个,500~1000×108 m3待发现气藏13个,100~500×108 m3待发现气藏15个。待发现天然气资源主要分布与以下重点勘探领域:环开江-梁平陆棚区二三叠系礁滩储层和川西陆相须家河组深层超深层领域;川东北、川中等地区以须家河组为重点的中浅层领域;龙门山和米苍-大巴山山前带领域;川东、川南和川北地区嘉陵江组鲕滩领域及震旦系灯影组顶面、中上奥陶统、中石炭统顶面、二叠系阳新统顶面和雷口坡组顶面五套大型不整合领域。 The writers forecast the ultimate potential natural gas resource in Sichuan Basin by means of Reservoir Scale Sequence.The result reveals that there are about 236 natural gas reservoirs in Sichuan Basin whose expected natural gas resource are about 57718×108m3.Among it,there are 110 natural gas reservoirs with expected resource about 40392×108m3 yet undiscoved accounted for 69.98% of the expected total resource.It is predicted there are 17 yet-to-be-confirmed natural gas reservoirs with resource more than 1000×108m3,13 yet-to-be-confirmed natural gas reservoirs with resource from 500×108m3 to 1000×108m3,15 yet-tobe-confirmed natural gas reservoirs with resource from 100×108m3 to 500×108m3. The yet-to-be-confirmed resource are distributed in the following main areas: Permian-Triassic reef-beach reservoir around Kaijiang-Liangping continental shelf,deep to ultra-deep strata of Xujiahe formation in the west of Sichuan basin,shallow-middle strata mainly of Xujiahe formation in the middle and northeast of Sichuan Basin,piedmont zone of Longmen mountain and Micang-Daba mountain,oolitic beach reservoir of Jialingjiang formation in the east and south of Sichuan Basin,and five unconformity zones as the top surface of Dengying formation(Sinian),the Middle and Upper Ordovician strata,the top surface of Middle Carboniferous,the top surface of Yangxin Series of Permian and the top surface of Leikoupo formation of Triassic.
出处 《中国矿业》 北大核心 2010年第S1期138-141,153,共5页 China Mining Magazine
关键词 四川盆地 天然气 油气藏规模序列 资源量 预测 勘探方向 Sichuan basin natural gas reservoir scale sequence resources predict exploration direction
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