岩性油气藏 ›› 2022, Vol. 34 ›› Issue (3): 117–130.doi: 10.12108/yxyqc.20220311

• 地质勘探 • 上一篇    下一篇

四川盆地泸州地区奥陶系五峰组—志留系龙马溪组页岩沉积微相划分及测井识别

邱晨1, 闫建平1,2, 钟光海3, 李志鹏4, 范存辉1,2, 张悦5, 胡钦红6, 黄毅7   

  1. 1. 西南石油大学 地球科学与技术学院, 成都 610500;
    2. 油气藏地质及开发工程国家重点实验室·西南石油大学, 成都 610500;
    3. 中国石油西南油气田公司 页岩气研究院, 成都 610500;
    4. 中国石化胜利油田分公司 勘探开发研究院, 山东 东营 257015;
    5. 河北省地球物理勘查院, 河北 廊坊 065000;
    6. 德克萨斯大学阿灵顿分校 地球与环境科学系, 美国 76019;
    7. 中国石油集团测井有限公司 西南分公司, 重庆 400021
  • 收稿日期:2021-09-13 修回日期:2021-11-28 出版日期:2022-05-01 发布日期:2022-05-12
  • 第一作者:邱晨(1993-),男,西南石油大学在读硕士研究生,研究方向为测井地质学。地址:(610500)四川省成都市新都区西南石油大学地球科学与技术学院。Email:121511488@qq.com
  • 通信作者: 闫建平(1980-),男,博士,教授,主要从事测井地质学及非常规储层测井评价方面的教学与研究工作。Email:yanjp_tj@163.com。
  • 基金资助:
    中国石油-西南石油大学创新联合体科技合作项目“川南深层与昭通中浅层海相页岩气规模效益开发关键技术研究”（编号：2020CX020000）、国家自然科学基金项目“陆相页岩油在基质-裂缝体系中的多尺度运移机理研究”（编号：41830431）和高等学校学科创新引智计划（111计划）“深层海相页岩气高效开发学科创新引智基地”（编号：D18016）联合资助

Sedimentary microfacies division and logging identification of Ordovician Wufeng-Silurian Longmaxi shale in Luzhou area，Sichuan Basin

QIU Chen1, YAN Jianping1,2, ZHONG Guanghai3, LI Zhipeng4, FAN Cunhui1,2, ZHANG Yue5, HU Qinhong6, HUANG Yi7   

  1. 1. School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China;
    2. State Key Laboratory of Oil & Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China;
    3. Shale Gas Research Institute, PetroChina Southwest Oil and Gas Field Company, Chengdu 610500, China;
    4. Research Institute of Exploration and Development, Shengli Oilfield Company, Sinopec, Dongying 257015, Shandong, China;
    5. Hebei Institute of Geophysical Exploration, Langfang 065000, Hebei, China;
    6. Department of Earth and Environmental Sciences, University of Texas at Arlington, Arlington, TX 76019, USA;
    7. Southwest Branch, CNPC Logging Company Limited, Chongqing 400021, China
  • Received:2021-09-13 Revised:2021-11-28 Online:2022-05-01 Published:2022-05-12

PDF (PC)

272

摘要： 通过X射线衍射分析、物性测试、薄片鉴定、地球化学分析以及测井资料，对川南泸州地区奥陶系五峰组—志留系龙马溪组深层页岩地层开展了沉积微相细分，明确了其测井响应特征及识别方法。研究结果表明：①泸州地区页岩沉积微相可细分为5个大类、8个小类，其中强还原富有机质富硅深水陆棚相物性好、含气量高、TOC含量高、脆性矿物含量高，是最优微相细分类型，主要分布于龙一段一亚段一小层； ②利用无铀伽马、自然伽马、钍含量、声波时差、中子、横波时差及钍铀比等7条敏感曲线，通过K-means的贝叶斯判别法划分的页岩地层微相细分类型，与取心结果的吻合率高于90.0%。

关键词: 深层页岩气, 微相细分, 测井识别, 贝叶斯判别法, “甜点”预测, 奥陶系五峰组—志留系龙马溪组, 泸州地区, 四川盆地

Abstract: Based on the data of XRD，physical properties，thin section， geochemistry and well logging，the microfacies subdivision of Ordovician Wufeng-Silurian Longmaxi shale in Luzhou area of southern Sichuan Basin was carried out，and the logging response characteristics and identification methods were defined. The results show that： （1）The microfacies of shale in Luzhou area can be subdivided into five categories and eight sub categories. Among them，the strong reduction rich organic matter and silicon-rich deep-water shelf facies is the best microfacies subdivision type with the characteristics of good physical properties and high contents of gas，TOC and brittle minerals，which is mainly distributed in the lower sublayer of Long-11 submember.（2）Using seven sensitive curves such as KTH，GR，Th， AC，CNL，DTS and Th/U，the microfacies subdivision types divided by the Bayesian discrimination method based on K-means are consistent with coring results with a coincidence rate greater than 90.0%.

Key words: deep shale gas, microfacies subdivision, logging identification, Bayesian discriminant method, sweet spot prediction, Ordovician Wufeng- Silurian Longmaxi Formation, Luzhou area, Sichuan Basin

中图分类号: 

  • TE122
[1] 邹才能,赵群,丛连铸,等.中国页岩气开发进展,潜力及前景[J].天然气工业, 2021, 41(1):1-14. ZOU Caineng, ZHAO Qun, CONG Lianzhu, et al. Development progress, potential and prospect of shale gas in China[J]. Natural Gas Industry, 2021, 41(1):1-14.
[2] 何治亮,聂海宽,蒋廷学.四川盆地深层页岩气规模有效开发面临的挑战与对策[J].油气藏评价与开发, 2021, 11(2):1-11. HE Zhiliang, NIE Haikuan, JIANG Tingxue. Challenges and countermeasures of effective development with large scale of deep shale gas in Sichuan Basin[J]. Reservoir Evaluation and Development, 2021, 11(2):1-11.
[3] CHEN Kongquan, LI Junjun, TANG Xiehua, et al. Key geological factors for shale gas accumulation in the Wufeng-Longmaxi Fms in the central Yangtze area[J]. Natural Gas Industry B, 2021, 8(1):1-12.
[4] 马新华.四川盆地南部页岩气富集规律与规模有效开发探索[J].天然气工业, 2018, 38(10):1-10. MA Xinhua. Enrichment laws and scale effective development of shale gas in the southern Sichuan Basin[J]. Natural Gas Industry, 2018, 38(10):1-10.
[5] 张成林,赵圣贤,张鉴,等.川南地区深层页岩气富集条件差异分析与启示[J].天然气地球科学, 2021, 32(2):248-261. ZHANG Chenglin, ZHAO Shengxian, ZHANG Jian, et al. Analysis and enlightenment of the difference of enrichment conditions for deep shale gas in southern Sichuan Basin[J]. Natural Gas Geoscience, 2021, 32(2):248-261.
[6] 邱振,邹才能.非常规油气沉积学:内涵与展望[J].沉积学报, 2020, 38(1):1-29. QIU Zhen, ZOU Caineng.Unconventional petroleum sedimentology:Connotation and prospect[J]. Acta Sedimentologica Sinica, 2020, 38(1):1-29.
[7] 蔡进,刘莉,张梦吟,等.涪陵页岩气田焦石坝区块五峰-龙马溪组沉积微相研究:以JYX-4井为例[J].石家庄经济学院学报, 2019, 42(3):48-54. CAI Jin, LIU Li, ZHANG Mengyin, et al. The sedimentary microfacies study of Wufeng-Longmaxi Formation in Jiaoshiba area, Fuling shale gas field:An example from well JYX-4[J]. Journal of Shijiazhuang University of Economics, 2019, 42(3):48-54.
[8] 蒲泊伶,董大忠,王凤琴,等.川南地区龙马溪组沉积亚相精细划分及地质意义[J].中国石油大学学报(自然科学版), 2020, 44(3):15-25. PU Boling, DONG Dazhong, WANG Fengqin, et al. Re-division and evolution of sedimentary subfacies of Longmaxi shale in southern Sichuan Basin[J]. Journal of China University of Petroleum (Edition of Natural Sciences), 2020, 44(3):15-25.
[9] 欧成华,梁成钢,罗利,等.页岩岩相分类表征及对建产区产能的影响[J].沉积学报, 2021, 39(2):269-280. OU Chenghua, LIANG Chenggang, LUO Li, et al. The lithofacies classification and its influence on the gas production capacity in the shale gas production area[J]. Acta Sedimentologica Sinica, 2021, 39(2):269-280.
[10] 王玉满,董大忠,李新景,等.四川盆地及其周缘下志留统龙马溪组层序与沉积特征[J].天然气工业, 2015, 35(3):12-21. WANG Yuman, DONG Dazhong, LI Xinjing, et al. Stratigraphic sequence and sedimentary characteristics of Lower Silurian Longmaxi Formation in the Sichuan Basin and its peripheral areas[J]. Natural Gas Industry, 2015, 35(3):12-21.
[11] 赵圣贤,杨跃明,张鉴,等.四川盆地下志留统龙马溪组页岩小层划分与储层精细对比[J].天然气地球科学, 2016, 27(3):470-487. ZHAO Shengxian, YANG Yueming, ZHANG Jian, et al. Microlayers division and fine reservoirs contrast of Lower Silurian Longmaxi Formation shale, Sichuan Basin, SW China[J]. Natural Gas Geoscience, 2016, 27(3):470-487.
[12] 刘忠宝,高波,张钰莹,等.上扬子地区下寒武统页岩沉积相类型及分布特征[J].石油勘探与开发, 2017, 44(1):21-31. LIU Zhongbao, GAO Bo, ZHANG Yuying, et al. Types and distribution of the shale sedimentary facies of the Lower Cambrian in Upper Yangtze area, South China[J]. Petroleum Exploration and Development, 2017, 44(1):21-31.
[13] 谭玉涵,崔式涛,牛伟,等.昭通页岩气区块龙马溪组下段海相页岩气储层沉积微相与测井识别[J].测井技术, 2019, 43(1):62-67. TAN Yuhan, CUI Shitao, NIU Wei, et al. Sedimentary micro-facies and log identification of marine shale gas reservoirs in the lower part of the Longmaxi Formation of Zhaotong shale gas block[J]. Well Logging Technology, 2019, 43(1):62-67.
[14] 邓瑞,孟凡顺.利用测井曲线精细分层识别沉积微相的方法研究[J].测井技术, 2010, 34(6):554-558. DENG Rui, MENG Fanshun.On logging curves fine delamination to identify sedimentary microfacies[J]. Well Logging Technology, 2010, 34(6):554-558.
[15] 张红英,谢冰,袁倩,等.四川盆地大猫坪构造长兴组测井沉积微相识别[J].天然气勘探与开发, 2020, 43(2):38-44. ZHANG Hongying, XIE Bing, YUAN Qian, et al. Logging-based sedimentary microfacies identification of Changxing Formation, Damaoping structure, Sichuan Basin[J]. Natural Gas Exploration and Development, 2020, 43(2):38-44.
[16] 赵忠军,刘烨,王凤琴,等.基于支持向量机的辫状河测井沉积微相识别[J].测井技术, 2016, 40(5):637-642. ZHAO Zhongjun, LIU Ye, WANG Fengqin, et al. Classification of borehole braided river sedimentary microfacies based on support vector machine[J]. Well Logging Technology, 2016, 40(5):637-642.
[17] 郭旭升,蔡勋育,刘金连,等.中国石化"十三五"天然气勘探进展与前景展望[J].天然气工业, 2021, 41(8):12-22. GUO Xusheng, CAI Xunyu, LIU Jinlian, et al. Natural gas exploration progress of Sinopec during the 13th Five-Year Plan and prospect forecast during the 14th Five-Year Plan[J]. Natural Gas Industry, 2021, 41(8):12-22.
[18] 龙胜祥,冯动军,李凤霞,等.四川盆地南部深层海相页岩气勘探开发前景[J].天然气地球科学, 2018, 29(4):443-451. LONG Shengxiang, FENG Dongjun, LI Fengxia, et al. Prospect of the deep marine shale gas exploration and development in the Sichuan Basin[J]. Natural Gas Geoscience, 2018, 29(4):443-451.
[19] 杨洪志,赵圣贤,刘勇,等.泸州区块深层页岩气富集高产主控因素[J].天然气工业, 2019, 39(11):55-63. YANG Hongzhi, ZHAO Shengxian, LIU Yong, et al. Main controlling factors of enrichment and high-yield of deep shale gas in the Luzhou block, southern Sichuan Basin[J]. Natural Gas Industry, 2019, 39(11):55-63.
[20] 李敏,庞雄奇,罗冰,等.生烃潜力法在深层页岩气资源评价中的应用:以四川盆地五峰-龙马溪组优质烃源岩为例[J].中国矿业大学学报, 2021, 50(6):1134-1145. LI Min, PANG Xiongqi, LUO Bing, et al. Application of hydrocarbon generation potential method to deep shale gas resource evaluation:A case study of high-quality source rocks of the WufengLongmaxi Formation in the Sichuan Basin[J]. Journal of China University of Mining&Technology, 2021, 50(6):1134-1145.
[21] 卢畅,陈雷,杨扬,等.页岩地球化学特征及沉积环境分析:以川南长宁地区五峰组-龙马溪组为例[J].断块油气田, 2021, 28(6):721-726. LU Chang, CHEN Lei, YANG Yang, et al. Geochemical characteristics and sedimentary environment of shale reservoir:A case study of the Wufeng-Longmaxi Formation in the Changning area, southern Sichuan Basin[J]. Fault-Block Oil&Gas Field, 2021, 28(6):721-726.
[22] 易定鑫.长宁地区五峰组-龙马溪组黑色页岩段沉积微相及沉积环境演化[D].成都:成都理工大学, 2020. YI Dingxin. Sedimentary microfacies and sedimentary environment evolution of the black shale section of Wufeng FormationLongmaxi Formation in Changning area[D]. Chengdu:Chengdu University of Technology, 2020.
[23] 丛平,闫建平,井翠,等.页岩气储层可压裂性级别测井评价及展布特征:以川南X地区五峰组-龙马溪组为例[J].岩性油气藏, 2021, 33(3):177-188. CONG Ping, YAN Jianping, JING Cui, et al. Logging evaluation and distribution characteristics of fracturing grade in shale gas reservoir:A case study from Wufeng Formation and Longmaxi Formation in X area, southern Sichuan Basin[J]. Lithologic Reservoirs, 2021, 33(3):177-188.
[24] 邹才能,董大忠,王玉满,等.中国页岩气特征、挑战及前景(二)[J].石油勘探与开发, 2016, 43(2):166-178. ZOU Caineng, DONG Dazhong, WANG Yuman, et al. Shale gas in China:Characteristics, challenges and prospects (Ⅱ)[J]. Petroleum Exploration and Development, 2016, 43(2):166-178.
[25] YAN Jianping, HE Xu, HU Qinhong, et al. Lower Es3 in Zhanhua Sag, Jiyang Depression:A case study for lithofacies classification in lacustrine mud shale[J]. Applied Geophysics, 2018, 15(2):151-164.
[26] 车世琦.测井资料用于页岩岩相划分及识别:以涪陵气田五峰组-龙马溪组为例[J].岩性油气藏, 2018, 30(1):121-132. CHE Shiqi. Shale lithofacies identification and classification by using logging data:A case of Wufeng-Longmaxi Formation in Fuling gas field, Sichuan Basin[J]. Lithologic Reservoirs, 2018, 30(1):121-132.
[27] 熊亮.川南威荣页岩气田五峰组-龙马溪组页岩沉积相特征及其意义[J].石油实验地质, 2019, 41(3):326-332. XIONG Liang. Characteristics and significance of sedimentary facies of Wufeng-Longmaxi Formation shale in Weirong shale gas field, southern Sichuan Basin[J]. Petroleum Geology&Experiment, 2019, 41(3):326-332.
[28] 伍翊嘉,王滢,黎菁.四川盆地深层页岩沉积特征及储层主控因素:以威东地区龙马溪组为例[J].天然气工业, 2021, 42(5):55-65. WU Yijia, WANG Ying, LI Jing. Sedimentary characteristics and main reservoir control factors of deep shale in the Sichuan Basin:A case study on the Longmaxi Formation in the eastern Weiyuan area[J]. Natural Gas Industry, 2021, 42(5):55-65.
[29] 杨洋,石万忠,张晓明,等.页岩岩相的测井曲线识别方法:以焦石坝地区五峰组-龙马溪组为例[J].岩性油气藏, 2021, 33(2):135-146. YANG Yang, SHI Wanzhong, ZHANG Xiaoming, et al. Identification method of shale lithofacies by logging curve:A case study from Wufeng-Longmaxi Formation in Jiaoshiba area, SW China[J]. Lithologic Reservoirs, 2021, 33(2):135-146.
[30] NIE Haikuan, HE Zhiliang, LIU Guangxiang, et al. Genetic mechanism of high-quality shale gas reservoirs in the Wufeng-Longmaxi Fms in the Sichuan Basin[J]. Natural Gas Industry B, 2021, 8(1):24-34.
[31] 闫建平,蔡进功,赵铭海,等.运用测井信息研究烃源岩进展及其资源评价意义[J].地球物理学进展, 2009, 24(1):270-279. YAN Jianping, CAI Jingong, ZHAO Minghai, et al. Advances in the study of source rock evaluation by geophysical logging and its significance in resource assessment[J]. Progress in Geophysics (in Chinese), 2009, 24(1):270-279.
[32] 闫建平,梁强,耿斌,等.湖相泥页岩地球化学参数测井计算方法及应用:以沾化凹陷渤南洼陷沙三下亚段为例[J].岩性油气藏, 2017, 29(4):108-116. YAN Jianping, LIANG Qiang, GENG Bin, et al. Log calculation method of geochemical parameters of lacustrine shale and its application:A case of lower Es3 in Bonan subsag, Zhanhua Sag[J]. Lithologic Reservoirs, 2017, 29(4):108-116.
[33] 祝迎春.二阶聚类模型及其应用[J].市场研究, 2005(1):40-42. ZHU Yingchun.Second-order clustering model and its application[J]. Market Research, 2005(1):40-42.
[34] 王千,王成,冯振元,等. K-means聚类算法研究综述[J].电子设计工程, 2012, 20(7):21-24. WANG Qian, WANG Cheng, FENG Zhenyuan, et al. Review of K-means clustering algorithm[J]. Electronic Design Engineering, 2012, 20(7):21-24.
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