岩石结构组分测井识别技术在白云岩地震岩相识别中的应用

中国石油勘探 ›› 2016, Vol. 21 ›› Issue (5): 90-95.

岩石结构组分测井识别技术在白云岩地震岩相识别中的应用

常少英^1,2,沈安江^1,2,李昌^1,2,3,周进高¹余异志⁴

1中国石油杭州地质研究院
2中国石油天然气集团公司碳酸盐岩储层重点实验室
3西南石油大学资源与环境学院
4 中国石油大学（北京）地球科学学院

出版日期:2016-09-12 发布日期:2016-09-12
基金资助:
国家科技重大专项“大型油气田及煤层气开发”（2016ZX05004-002）；中国石油天然气集团公司科技重大专项“深层油气勘探开发关键技术研究”（2014E-32-02）。

Application of rock structure component identification technology by well logging in dolomite seismic lithofacies identification

Chang Shaoying¹,², Shen Anjiang¹,², Li Chang¹,²,³, Zhou Jingao¹,Yu Yizhi⁴

1 PetroChina Hangzhou Institute of Geology
2 CNPC Key Laboratory of Carbonate Reservoirs
3 School of Resource & Environment, Southwest Petroleum University
4 College of Geosciences, China University of Petroleum

Online:2016-09-12 Published:2016-09-12

摘要/Abstract

摘要： 四川盆地川中寒武系龙王庙组发育颗粒滩相白云岩储层，该类储层具有埋藏深、地层薄、白云岩单井微相划分难、岩相横向变化大的问题。在改进Lucia岩石结构组分测井识别技术的基础上，利用“沉积多参数”地震岩相识别技术，对川中磨溪—高石梯地区寒武系龙王庙组白云岩岩相进行研究。识别出颗粒滩中—细晶白云岩相、滩后潟湖粉晶白云岩相、滩间海泥晶白云岩相3类岩相，并预测出优势相颗粒滩中—细晶白云岩相分布在研究区南部及中部区域。

关键词: 岩石结构数, 颗粒含量, 沉积多参数, 地震岩相

Abstract: The Cambrian Longwangmiao Formation in central Sichuan Basin contains dolomite reservoirs of grain shoal facies. Such reservoirs are characterized by large burial depth, thin formations, difficult classification of dolomite microfacies in single well, and variable lithofacies in lateral direction. On the basis of the improved Lucia rock structure component identification technology by well logging, this article discussed the lithofacies of dolomite in the Cambrian Longwangmiao Formation in the Moxi-Gaoshiti region in central Sichuan Basin by using the “sedimentary multi-parameter” seismic lithofacies identification technology. Three types of lithofacies were identified, i.e., medium-fine crystalline dolomite lithofacies in grain shoal, crystal powder dolomite lithofacies in lagoon behind the shoal, and micrite dolomite lithofacies in inter-shoal sea. Moreover, it was predicted that the predominant lithofacies (medium-fine crystalline dolomite lithofacies in grain shoal) is distributed in the south and middle parts of the study area.

Key words: rock structure, grain content, sedimentary multi-parameter, seismic lithofacies

常少英, 沈安江, 李昌, 周进高, 余异志. 岩石结构组分测井识别技术在白云岩地震岩相识别中的应用[J]. 中国石油勘探, 2016, 21(5): 90-95.

Chang Shaoying, Shen Anjiang, Li Chang, Zhou Jingao, Yu Yizhi. Application of rock structure component identification technology by well logging in dolomite seismic lithofacies identification[J]. China Petroleum Exploration, 2016, 21(5): 90-95.

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