岩性油气藏 ›› 2025, Vol. 37 ›› Issue (1): 13–23.doi: 10.12108/yxyqc.20250102

• 地质勘探 • 上一篇    下一篇

东营凹陷八面河地区古近系沙四段湖相白云岩测井识别及应用

胡心玲, 荣焕青, 杨伟, 张再昌, 漆智先   

  1. 中国石化江汉油田分公司 勘探开发研究院, 武汉 430223
  • 收稿日期:2024-07-11 修回日期:2024-08-15 出版日期:2025-01-01 发布日期:2025-01-04
  • 第一作者:胡心玲(1975—),女,硕士,教授级高级工程师,主要从事油气开发方面的研究工作。地址:(430223)湖北省武汉市东湖新技术开发区大学园路18号。Email:huxl.jhyt@sinopec.com。
  • 基金资助:
    国家自然科学基金“成岩流体演化对致密砂岩气藏储层质量的控制作用研究”(编号:41702158)与山东省自然科学基金“浅层砂岩油藏冷冻岩心物性与含油性变化及校正方法研究”(编号:ZR2022MD014)联合资助。

Logging identification and application of lacustrine dolomite in the fourth member of the Shahejie Formation in the Bamianhe area of Dongying Sag

HU Xinling, RONG Huanqing, YANG Wei, ZHANG Zaichang, QI Zhixian   

  1. Exploration and Development Research Institute of Sinopec Jianghan Oilfield Branch, Wuhan 433124, Chian
  • Received:2024-07-11 Revised:2024-08-15 Online:2025-01-01 Published:2025-01-04

摘要: 湖相白云岩储层岩石组分复杂、结构多样,利用测井资料对白云岩岩性进行识别具有重要意义。为了解决传统测井方法工作量大和识别精度低等问题,提出利用蛛网图-交会图-主成分分析法融合的方法,构建岩性敏感因子交会图,开展湖相白云岩岩性综合识别。研究结果表明:①东营凹陷八面河地区古近系沙四段主要由颗粒云岩、微晶云岩、泥晶云岩、砂岩和页岩等组成,其中,颗粒云岩、微晶云岩和页岩为主要岩石类型。②优选6类特征参数分析不同岩石类型蛛网图和交会图的差异,其中,GRAC可有效区分颗粒云岩,SP对砂岩具有较好的识别效果,在蛛网图与交会图的识别成果基础上,应用主成分分析法对测井参数进行标准化处理,构建出累计方差贡献率为90.75%的主成分F1和F2,建立岩性判别模型,综合识别岩性。③通过产能与取心井验证,岩性识别准确度高达85.4%,明确研究区颗粒云岩在西部以SW—NE走向呈条带状分布,向南部和北部过渡为微晶云岩和泥晶云岩,东部则以不规则分布的砂岩为主。

关键词: 湖相白云岩, 岩性测井识别, 蛛网图, 主成分分析法, 沙四段, 古近系, 八面河地区, 东营凹陷

Abstract: The rock composition and structure of lacustrine dolomite reservoirs are complex and diverse,and the use of logging data is of great significance for identifying dolomite lithology. In order to solve the problems of heavy workload and low recognition accuracy in traditional logging methods,a method of integrating spider web plot intersection plot principal component analysis is proposed to construct a lithology sensitive factor intersection plot and carry out comprehensive identification of lacustrine dolomite lithology. The results indicate that:(1)The fourth member of the Paleogene Shahejie Formation(Sha 4 Formation)in the Bamianhe area of Dongying Sag is mainly composed of granular dolomite,microcrystalline dolomite,mud crystalline dolomite, sandstone,and shale. Among them,granular dolomite,microcrystalline dolomite,and shale are the main rock types.(2)Selecting 6 types of feature parameters to analyze the differences between spider web diagrams and intersection diagrams of different rock types,among which GR and AC can effectively distinguish granular dolomite,and SP has a good distinguishing effect on sandstone. Based on the results of spider web diagrams and intersection diagrams,principal component analysis is applied to standardize the logging parameters,and principal components F1 and F2 with a cumulative variance contribution rate of 90.75% are constructed. A lithology discrimination model is established to comprehensively identify lithology.(3)Through the verification of production capacity and coring wells,the accuracy of lithology identification is as high as 85.4%. It is clear that the granular dolomite is distributed in a strip like pattern in the west along the SW-NE direction, transitioning to microcrystalline dolomite and mud crystal dolomite in the south and north,while irregularly distributed sandstone is dominant in the east. This fusion method can efficiently identify the lithology of dolomite and has strong guiding value for subsequent favorable reservoir evaluation and oil and gas exploration.

Key words: lacustrine dolomite reservoir, logging identification of lithology, Spiderweb diagram method, principal component analysis method, fourth member of Shahejie Formation(Sha 4 Formation), Paleogene, Bamianhe area, Dongying Sag

中图分类号: 

  • TE122.2
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