基于岩性扫描测井的混积岩岩性识别——以玛湖凹陷风城组为例

doi:10.7657/XJPG20220612

摘要/Abstract

摘要：

准噶尔盆地玛湖凹陷二叠系风城组发育富含油气的陆相混积岩，岩性变化快，矿物种类多，利用常规测井无法有效识别岩性。利用岩性扫描测井，获得地层中主要元素的质量分数，根据矿物敏感元素与矿物的关系计算矿物质量分数。利用长英质矿物含量与碳酸盐矿物含量的比值构建混积岩指数，利用中子孔隙度与核磁共振总孔隙度的差值构建泥质指数，将混积岩指数与泥质指数交会形成风城组混积岩岩性识别图版。结果表明，矿物含量计算精度高，平均相对误差仅为6.5%，岩性解释符合率为90.9%，满足测井评价的需求，可为混积岩型页岩油藏的测井岩性识别提供借鉴。

关键词: 玛湖凹陷, 风城组, 岩性扫描测井, 岩性识别, 混积岩, 交会图版, 矿物

Abstract:

Hydrocarbon-rich continental diamictite developed in the Permian Fengcheng formation of Mahu sag, Junggar basin is characterized by varieties of minerals and rapid variation of lithology. Conventional logging cannot be used to effectively identify the lithology of diamictite. By using lithology scan logging, the mass fractions of the main elements in the formation are obtained, and the mineral mass fraction is then calculated according to the relationship between mineral-sensitive elements and minerals. The diamictite index is constructed by using the ratio of felsic mineral content to carbonate mineral content, and the shale index is constructed by using the difference between neutron porosity and nuclear magnetic resonance total porosity. Then the lithology identification chart for the diamictite in the Fengcheng formation is formed by intersecting the diamictite index and the shale index. The results show that the calculation of mineral content is accurate with the average relative error of only 6.5%, and the lithology interpretation exhibits a coincidence rate of 90.9%, which meets the needs of logging evaluation. The proposed method provides a reference for logging lithology identification of diamictite shale reservoirs.

Key words: Mahu sag, Fengcheng formation, lithology scan logging, lithology identification, diamictite, cross plot chart, mineral

中图分类号:

P631

毛锐, 申子明, 张浩, 陈山河, 樊海涛. 基于岩性扫描测井的混积岩岩性识别——以玛湖凹陷风城组为例[J]. 新疆石油地质, 2022, 43(6): 743-749.

MAO Rui, SHEN Ziming, ZHANG Hao, CHEN Shanhe, FAN Haitao. Lithology Identification for Diamictite Based on Lithology Scan Logging: A Case Study on Fengcheng Formation, Mahu Sag[J]. Xinjiang Petroleum Geology, 2022, 43(6): 743-749.

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参考文献 20

[1]	薛桂玉, 菅红军, 赵永忠, 等. 吉木萨尔凹陷芦草沟组页岩油储层岩性识别方法[J]. 测井技术, 2021, 45(6):636-641.
	XUE Guiyu, JIAN Hongjun, ZHAO Yongzhong, et al. Lithology identification method for the shale oil reservoir of Lucaogou formation in Jimusar depression[J]. Well Logging Technology, 2021, 45(6):636-641.
[2]	郑建东, 王春燕, 章华兵, 等. 松辽盆地古龙页岩油储层七性参数和富集层测井评价方法[J]. 大庆石油地质与开发, 2021, 40(5):87-97.
	ZHENG Jiandong, WANG Chunyan, ZHANG Huabing, et al. Logging evaluating methods of seven property parameters and enriched layers for Gulong shale oil reservoir in Songliao basin[J]. Petroleum Geology & Oilfield Development in Daqing, 2021, 40(5):87-97.
[3]	韩成, 陈旋, 陈杰, 等. 三塘湖盆地芦草沟组页岩油测井评价技术进展[J]. 新疆石油地质, 2020, 41(6):740-747.
	HAN Cheng, CHEN Xuan, CHEN Jie, et al. Progress of well logging evaluation techniques for shale oil of Lucaogou formation in Santanghu basin[J]. Xinjiang Petroleum Geology, 2020, 41(6):740-747.
[4]	吴煜宇, 谢冰, 伍丽红, 等. 四川盆地二叠系基性火山岩测井评价技术:以永探1井区火山岩为例[J]. 天然气工业, 2019, 39(2):37-45.
	WU Yuyu, XIE Bing, WU Lihong, et al. Logging based lithology identification of Permian mafic volcanic rocks in the Sichuan basin:a case study from the Well Yongtan 1[J]. Natural Gas Industry, 2019, 39(2):37-45.
[5]	王培春, 吕洪志, 崔云江. 岩性扫描测井技术在渤海复杂砂岩储层的应用[J]. 测井技术, 2016, 40(2):184-188.
	WANG Peichun, LYU Hongzhi, CUI Yunjiang. Application of high‑definition spectroscopy to complex sandstone reservoir in Bohai oilfield[J]. Well Logging Technology, 2016, 40(2):184-188.
[6]	王濡岳, 冷济高, 丁文龙, 等. 上扬子地区下寒武统牛蹄塘组优质页岩储层测井识别:以贵州岑巩页岩气区块为例[J]. 天然气地球科学, 2015, 26(12):2395-2 407.
	WANG Ruyue, LENG Jigao, DING Wenlong, et al. Logging identification of Lower Cambrian Niutitang shale gas reservoir in Upper Yangtze region:a case study of the Cengong block,Guizhou province[J]. Natural Gas Geoscience, 2015, 26(12):2395-2 407.
[7]	张永庶, 张审琴, 吴颜雄, 等. 基于成像测井和岩性扫描测井的沉积相研究:以柴达木盆地黄瓜峁地区为例[J]. 新疆石油地质, 2019, 40(5):593-599.
	ZHANG Yongshu, ZHANG Shenqin, WU Yanxiong, et al. Study on sedimentary facies based on FMI logging and LS logging:a case study of Huangguamao area,Qaidam basin[J]. Xinjiang Petroleum Geology, 2019, 40(5):593-599.
[8]	张志杰, 袁选俊, 汪梦诗, 等. 准噶尔盆地玛湖凹陷二叠系风城组碱湖沉积特征与古环境演化[J]. 石油勘探与开发, 2018, 45(6):972-984.
	ZHANG Zhijie, YUAN Xuanjun, WANG Mengshi, et al. Alkaline-lacustrine deposition and paleoenvironmental evolution in Permian Fengcheng formation at the Mahu sag,Junggar basin,NW China[J]. Petroleum Exploration and Development, 2018, 45(6):972-984.
[9]	李学良, 张奎华, 林会喜, 等. 哈山及周缘二叠系风城组沉积环境及沉积相发育特征[J]. 西北大学学报(自然科学版), 2018, 48(5):699-708.
	LI Xueliang, ZHANG Kuihua, LIN Huixi, et al. Sedimentary environment and facies of Permian Fengcheng formation in Hashan and its adjacent areas[J]. Journal of Northwest University(Natural Science Edition), 2018, 48(5):699-708.
[10]	汪梦诗, 张志杰, 周川闽, 等. 准噶尔盆地玛湖凹陷下二叠统风城组碱湖岩石特征与成因[J]. 古地理学报, 2018, 20(1):147-162.
	WANG Mengshi, ZHANG Zhijie, ZHOU Chuanmin, et al. Lithological characteristics and origin of alkaline lacustrine of the Lower Permian Fengcheng formation in Mahu sag,Junggar basin[J]. Journal of Palaeogeography, 2018, 20(1):147-162.
[11]	支东明, 唐勇, 何文军, 等. 准噶尔盆地玛湖凹陷风城组常规-非常规油气有序共生与全油气系统成藏模式[J]. 石油勘探与开发, 2021, 48(1):38-51.
	ZHI Dongming, TANG Yong, HE Wenjun, et al. Orderly coexistence and accumulation models of conventional and unconventional hydrocarbons in Lower Permian Fengcheng formation,Mahu sag,Junggar basin[J]. Petroleum Exploration and Development, 2021, 48(1):38-51.
[12]	何文军, 钱永新, 赵毅, 等. 玛湖凹陷风城组全油气系统勘探启示[J]. 新疆石油地质, 2021, 42(6):641-655.
	HE Wenjun, QIAN Yongxin, ZHAO Yi, et al. Exploration implications of total petroleum system in Fengcheng formation,Mahu sag,Junggar basin[J]. Xinjiang Petroleum Geology, 2021, 42(6):641-655.
[13]	杨帆, 孟鑫, 王先虎, 等. 玛页1井风城组页岩微观孔隙特征及其影响因素[J]. 新疆石油地质, 2022, 43(1):1-10.
	YANG Fan, MENG Xin, WANG Xianhu, et al. Micro-pore characteristics and influencing factors of Fengcheng formation shale in Well Maye-1[J]. Xinjiang Petroleum Geology, 2022, 43(1):1-10.
[14]	许琳, 常秋生, 冯玲丽, 等. 准噶尔盆地玛湖凹陷二叠系风城组页岩油储层特征及控制因素[J]. 中国石油勘探, 2019, 24(5):649-660. doi: 10.3969/j.issn.1672-7703.2019.05.011
	XU Lin, CHANG Qiusheng, FENG Lingli, et al. The reservoir characteristics and control factors of shale oil in Permian Fengcheng formation of Mahu sag,Junggar basin[J]. China Petroleum Exploration, 2019, 24(5):649-660. doi: 10.3969/j.issn.1672-7703.2019.05.011
[15]	刘得光, 周路, 李世宏, 等. 玛湖凹陷风城组烃源岩特征与生烃模式[J]. 沉积学报, 2020, 38(5):946-955.
	LIU Deguang, ZHOU Lu, LI Shihong, et al. Characteristics of source rocks and hydrocarbon generation models of Fengcheng formation in Mahu depression[J]. Acta Sedimentologica Sinica, 2020, 38(5):946-955.
[16]	王小军, 王婷婷, 曹剑. 玛湖凹陷风城组碱湖烃源岩基本特征及其高效生烃[J]. 新疆石油地质, 2018, 39(1):9-15.
	WANG Xiaojun, WANG Tingting, CAO Jian. Basic characteristics and highly efficient hydrocarbon generation of alkaline-lacustrine source rocks in Fengcheng formation of Mahu sag[J]. Xinjiang Petroleum Geology, 2018, 39(1):9-15.
[17]	支东明, 唐勇, 郑孟林, 等. 准噶尔盆地玛湖凹陷风城组页岩油藏地质特征与成藏控制因素[J]. 中国石油勘探, 2019, 24(5):615-623. doi: 10.3969/j.issn.1672-7703.2019.05.008
	ZHI Dongming, TANG Yong, ZHENG Menglin, et al. Geological characteristics and accumulation controlling factors of shale reservoirs in Fengcheng formation,Mahu sag,Junggar basin[J]. China Petroleum Exploration, 2019, 24(5):615-623. doi: 10.3969/j.issn.1672-7703.2019.05.008
[18]	闫学洪, 曹春锋, 王慧. 岩性扫描测井资料处理解释方法研究与应用[J]. 测井技术, 2018, 42(5):503-508.
	YAN Xuehong, CAO Chunfeng, WANG Hui. Research and application on processing and interpretation of litho scanner logging data[J]. Well Logging Technology, 2018, 42(5):503-508.
[19]	陈世悦. 矿物岩石学[M]. 山东东营: 中国石油大学出版社, 2002.
	CHEN Shiyue. Mineralogy petrology[M]. Dongying,Shandong: China University of Petroleum Press, 2002.
[20]	毛锐, 许琳, 房涛, 等. 核磁共振测井在低渗砾岩储集层评价中的应用:以玛湖凹陷下三叠统百口泉组为例[J]. 新疆石油地质, 2018, 39(1):114-118.
	MAO Rui, XU Lin, FANG Tao, et al. Application of NMR technology in evaluation of low-permeability conglomerate reservoirs:a case study from the Lower Triassic Baikouquan formation in Mahu sag[J]. Xinjiang Petroleum Geology, 2018, 39(1):114-118.