查干凹陷苏红图组火山岩特征及测井识别

Characteristics and logging identification of volcanic rocks in Suhongtu Formation of Chagan Depression

庞尚明 李杪 彭君 周艳 史大海 王睿4

中国石化中原油田分公司内蒙探区勘探开发指挥部，河南 濮阳 457001 中国石化中原油田分公司勘探开发研究院，河南 濮阳 457001 中国石化中原油田分公司油气勘探管理部，河南 濮阳 457001 中海油能源发展股份有限公司工程技术分公司监督中心，天津 300452

Exploration and Development Headquarters in Inner Mongolia, Zhongyuan Oilfield Company, SINOPEC, Puyang 457001, China Exploration and Development Research Institute, Zhongyuan Oilfield Company, SINOPEC, Puyang 457001, China Petroleum Exploration Management Department, Zhongyuan Oilfield Company, SINOPEC, Puyang 457001, China Supervisory Center of Engineering Technology, CNOOC Energy Technology & Service Limited, Tianjin 300452, China

查干凹陷苏红图组火山岩是一个潜在的含油岩系，但岩性识别不准，未形成工区内有效的火山岩岩性识别技术。通过对研究区火山岩典型井的岩心观察，结合岩石薄片及测井资料，厘定了查干凹陷苏红图组火山岩的岩性分类，明确了火山岩的喷发岩相模式，分析了火山岩的测井响应特征，提出了火山岩岩性测井识别方法。研究表明，查干凹陷苏红图组火山岩可细分为6种岩性，发育4种岩相，喷发岩相模式为火山通道相—爆发相—溢流相—火山沉积相。根据识别出的岩性标定测井，分析每种岩性的测井响应特征，利用交会图法，综合多曲线、多元信息判别火山岩岩性。

The volcanic rocks of the Suhongtu Formation in Chagan Depression are a potential petroliferous rock series, but the lithology identification of volcanic rocks is still a problem to be solved, with no effective identification technology in the work area till now. Based on core observation and detailed analysis of thin sections and logging data of the typical wells of the Suhongtu Formation in Chagan Depression, this article defines the lithology classification of volcanic rocks, ascertains the eruptive lithofacies pattern of volcanic rocks, analyzes the logging response characteristics of volcanic rocks, and presents the logging identification methods of volcanic rocks. The research shows that the lithologies of volcanic rocks of the Suhongtu Formation in Chagan Depression can be classified into six types. At the same time, it develops four types of petrofacies in this study area, from the volcanic vent facies to explosive facies to overflow facies to volcanic-sedimentary facies. According to the identified lithological calibration and well logs, each of the lithologic logging response characteristics can be identified. Using cross plots, composite curve and multivariate information, the lithology of volcanic rocks can be judged synthetically.

10.6056/dkyqt201903009