湖相碳酸盐岩测井岩相识别技术与应用——以柴达木盆地英西地区为例

doi:10.3969/j.issn.1672-7703.2023.01.012

摘要/Abstract

摘要： 我国湖相碳酸盐岩储层分布广泛，具有极大的油气勘探前景。但该类储层陆源碎屑含量高、岩相种类多，导致岩相识别困难且严重制约了该领域勘探拓展和高效开发，这在埋藏深度普遍大于4000m的柴达木盆地英西地区古近系下干柴沟组上段（E₃²）尤为典型。以英西地区为例，充分利用区内大量岩心、薄片和实验分析资料，系统分析湖相碳酸盐岩岩相特征及测井响应特征，并建立了识别方法和图版。分析结果表明，英西地区E₃²发育颗粒灰云岩、泥晶灰云岩、纹层状灰云岩、泥质膏岩和灰云质泥岩等5种类型的岩相。基于测井响应特征分析，确定自然伽马、骨架密度、体积密度为岩相识别敏感参数，进而首次提出岩石结构因子(RFF ) 技术；利用计算得到的RFF参数，结合元素测井资料建立了岩相识别图版，将其应用于研究区48口井，在12口取心井中岩相解释平均符合率达到80.2%，应用效果较好。岩石结构因子技术提高了湖相碳酸盐岩岩相识别符合率，对研究储层分布规律、指导勘探开发具重要意义。

关键词: 柴达木盆地, 湖相碳酸盐岩, 岩相识别, 测井评价

Abstract: In China, lacustrine carbonate rocks are widely distributed and show great prospects for petroleum exploration. The high-content terrigenous debris and diversified lithofacies lead to great difficulty in identifying lithofacies and severely restrict the exploration expansion and efficient development in this field, which is typically represented by the upper part of the Paleogene Lower Ganchaigou Formation (E₃²) in Yingxi area in Qaidam Basin with a burial depth of greater than 4000 m. Therefore, a large number of core data, thin section and experimental analysis data in Yingxi area are studied in detail, and lithofacies and logging response characteristics of lacustrine carbonate rocks are systematically analyzed to establish the lithofacies identification method and chart. The study results show that five types of lithofacies are identified in E₃² in Yingxi area, including granular lime-dolostone, micrite lime-dolostone, laminated lime-dolostone, argillaceous gypsum and lime-dolomitic mudstone. The analysis of logging response characteristics indicates that GR, matrix density and bulk density are sensitive parameters for lithofacies identification, and rock fabric factor ( RFF ) technology is proposed for the first time. The calculated RFF and element logging data are integrated to establish the lithofacies identification chart, which is applied to 48 wells in the study area. The average coincidence rate of lithofacies interpretation reaches up to 80.2% in 12 coring wells, showing good application results. RFF technology supports to improve the lithofacies identification accuracy of lacustrine carbonate rocks, and is of great significance to determine the reservoir distribution law and guide the petroleum exploration and development in practice.

中图分类号:

P631.8

田明智, 朱超, 李森明, 夏志远, 宋光永, 王艳清, 宫清顺, 李亚锋, 刘占国. 湖相碳酸盐岩测井岩相识别技术与应用——以柴达木盆地英西地区为例[J]. 中国石油勘探, 2023, 28(1): 135-143.

Tian Mingzhi, Zhu Chao, Li Senming, Xia Zhiyuan, Song Guangyong, Wang Yanqing, Gong Qingshun, Li Yafeng, Liu Zhanguo. Application of logging lithofacies identification technology of lacustrine carbonate rocks:a case study of Yingxi area, Qaidam Basin[J]. China Petroleum Exploration, 2023, 28(1): 135-143.

参考文献

[1] 杨智，侯连华，陶士振，等. 致密油与页岩油形成条件与“甜点区”评价[J]. 石油勘探与开发，2015,42(5):555-565.
Yang Zhi, Hou Lianhua, Tao Shizhen, et al . Formation conditions and“sweet spot”evaluation of tight oil and shale oil[J]. Petroleum Exploration and Development, 2015,42(5):555-565.
[2] 赵贤正，周立宏，蒲秀刚，等. 陆相湖盆页岩层系基本地质特征与页岩油勘探突破：以渤海湾盆地沧东凹陷古近系孔店组二段一亚段为例[J]. 石油勘探与开发，2018,45(3):361-372.
Zhao Xianzheng, Zhou Lihong, Pu Xiugang, et al . Geological characteristics of shale rock system and shale oil exploration in a lacustrine basin: a case study from the Paleogene 1st submember of Kong 2 member in Cangdong Sag, Bohai Bay Basin, China[J]. Petroleum Exploration and Development, 2018,45(3):361-372.
[3] 赵文智，沈安江，乔占峰，等. 中国碳酸盐岩沉积储层理论进展与海相大油气田发现[J]. 中国石油勘探，2022,27(4):1-15.
Zhao Wenzhi, Shen Anjiang, Qiao Zhanfeng, et al . Theoretical progress in carbonate reservoir and discovery of large marine oil and gas fields in China[J]. China Petroleum Exploration,2022,27(4):1-15.
[4] 沈安江，胡安平，梁峰，等. 碳酸盐岩储层模拟与地球化学实验技术进展及应用[J]. 中国石油勘探，2022,27(4):16-29.
Shen Anjiang, Hu Anping, Liang Feng, et al . Progress and application of carbonate reservoir simulation and geochemical experiment technology[J]. China Petroleum Exploration, 2022,27(4):16-29.
[5] 侯启军，何海清，李建忠，等. 中国石油天然气股份有限公司近期油气勘探进展及前景展望[J]. 中国石油勘探，2018,23(1):1-13.
Hou Qijun, He Haiqing, Li Jianzhong, et al . Recent progress and prospect of oil and gas exploration by PetroChina Company Limited[J]. China Petroleum Exploration, 2018,23(1):1-13.
[6] 张道伟，马达德，伍坤宇，等．柴达木盆地致密油“甜点区（段）”评价与关键技术应用：以英西地区下干柴沟组上段为例[J]．天然气地球科学，2019,30(8):1134-1149.
Zhang Daowei, Ma Dade, Wu Kunyu, et al . Evaluation and key technology application of tight oil areas/sections in Qaidam Basin: case of the upper member of the Lower Ganchaigou Formation in Yingxi area[J]. Natural Gas Geoscience, 2019,30(8):1134-1149.
[7] 卢炳雄，郑荣才，梁西文，等. 四川盆地东部地区大安寨段页岩气（油）储层特征[J]. 中国地质，2014,41(4):1387-1398.
Lu Bingxiong, Zheng Rongcai, Liang Xiwen, et al . Characteristics analysis of Da’anzhai shale gas(oil) reservoirs in eastern Sichuan Basin[J]. Geology in China, 2014,41(4):1387-1398.
[8] 彭传圣. 湖相碳酸盐岩有利储集层分布：以渤海湾盆地沾化凹陷沙四上亚段为例[J]. 石油勘探与开发，2011,38(4):435-443.
Peng Chuansheng. Distribution of favorable lacustrine carbonate reservoirs: a case from the Upper Es4 of Zhanhua Sag,Bohai Bay Basin[J]. Petroleum Exploration and Development,2011,38(4):435-443.
[9] 付金华，刘新社，魏柳斌，等. 鄂尔多斯盆地奥陶系盐下马家沟组四段天然气勘探突破及意义[J]. 中国石油勘探，2022,27(2):47-58.
Fu Jinhua, Liu Xinshe, Wei Liubin, et al . Breakthrough and significance of natural gas exploration in the fourth member of Majiagou Formation of subsalt Ordovician in Ordos Basin[J].China Petroleum Exploration, 2022,27(2):47-58.
[10] 何海清，范土芝，郭绪杰，等. 中国石油“十三五”油气勘探重大成果与“十四五”发展战略[J]. 中国石油勘探，2021,26(1):17-30.
He Haiqing, Fan Tuzhi, Guo Xujie, et al . PetroChina: Major achievements in oil and gas exploration during the 13th Five-Year Plan period and development strategy for the 14th Five-Year Plan period[J]. China Petroleum Exploration, 2021,26(1):17-30.
[11] 赵文智，贾爱林，王坤，等. 中国天然气“十三五”勘探开发理论技术进展与前景展望[J]. 石油科技论坛，2021,40(3):11-23.
Zhao Wenzhi, Jia Ailin, Wang Kun, et al . Theoretical and technological progress and development prospect of China’s natural gas exploration and development in the 13th Five-Year Plan period[J]. Petroleum Science and Technology Forum, 2021,40(3):11-23.
[12] 柳波，吕延防，孟元林，等. 湖相纹层状细粒岩特征、成因模式及其页岩油意义：以三塘湖盆地马朗凹陷二叠系芦草沟组为例[J]. 石油勘探与开发，2015,42(5):598-607.
Liu Bo, Lv Yanfang, Meng Yuanlin, et al . Petrologic characteristics and genetic model of lacustrine lamellar finegrained rock and its significance for shale oil exploration: a case study of Permian Lucaogou Formation in Malang Sag,Santanghu Basin, NW China[J]. Petroleum Exploration and Development, 2015,42(5):598-607.
[13] 葸克来，操应长，朱如凯，等. 吉木萨尔凹陷二叠系芦草沟组致密油储层岩石类型及特征[J]. 石油学报，2015,36(12):1495-1507.
Xi Kelai, Cao Yingchang, Zhu Rukai, et al . Rock types and characteristics of tight oil reservoir in Permian Lucaogou Formation,Jimsar Sag[J]. Acta Petrolei Sinica, 2015,36(12):1495-1507.
[14] 文华国，郑荣才，Qing H R，等. 青藏高原北缘酒泉盆地青西凹陷白垩系湖相热水沉积原生白云岩[J]. 中国科学：地球科学，2014,44(4):591-604.
Wen Huaguo, Zheng Rongcai, Qing H R, et al . Primary dolostone related to the Cretaceous lacustrine hydrothermal sedimentation in Qingxi Sag, Jiuquan Basin on the northern Tibetan Plateau[J]. Science China：Earth Science, 2014,44(4):591-604.
[15] 杨生超，邱隆伟，刘魁元，等. 邵家洼陷沙四段湖相碳酸盐岩岩性测井解释模型[J]. 新疆石油地质，2015,36(6):708-713.
Yang Shengchao, Qiu Longwei, Liu Kuiyuan, et al . Lithology logging interpretation model for lacustrine carbonate rocks of the Es4 in Shaojia Sub?Sag, Jiyang Depression, Bohai Bay Basin[J]. Xinjiang Petroleum Geology, 2015,36(6):708-713.
[16] 吴煜宇，张为民，田昌炳，等. 成像测井资料在礁滩型碳酸盐岩储集层岩性和沉积相识别中的应用：以伊拉克鲁迈拉油田为例[J]. 地球物理学进展，2013,28(3):1497-1506.
Wu Yuyu, Zhang Weimin, Tian Changbing, et al . Application of image logging in identifying lithologies and sedimental facies in reef-shoal carbonate reservoir: take Rumaila Oil Field in Iraq for example[J]. Progress in Geophysics, 2013,28(3):1497-1506.
[17] 成大伟，袁选俊，周川闽，等. 测井岩性识别方法及应用：以鄂尔多斯盆地中西部长7 油层组为例[J]. 中国石油勘探，2016,21(5):117-126.
Cheng Dawei, Yuan Xuanjun, Zhou Chuanmin, et al . Logginglithology identification methods and their application: a case study on Chang 7 member in central-western Ordos Basin,NW China[J]. China Petroleum Exploration, 2016, 21(5):117-126.
[18] 李昌，乔占峰，邓兴梁，等. 视岩石结构数技术在测井识别碳酸盐岩岩相中的应用[J]. 油气地球物理，2017,15(1):29-35.
Li Chang, Qiao Zhanfeng, Deng Xingliang, et al . Application of the apparent rock fabric number calculation technique in logging identification of the carbonate rock type[J]. Petroleum Geophysics, 2017,15(1):29-35.
[19] 张治国，杨毅恒，夏立显. 自组织特征映射神经网络在测井岩性识别中的应用[J]. 地球物理学进展，2005,20(2):332-336.
Zhang Zhiguo, Yang Yiheng, Xia Lixian. The application of self-organizing feature map neural network to logging lithological identification[J]. Progress in Geophysics, 2005,20(2):332-336.
[20] 田瀚，辛勇光，张豪，等. 基于常规测井资料的复杂岩性识别：以龙岗地区雷四3 亚段为例[J]. 天然气勘探与开发，2019,42(4):55-65.
Tian Han, Xin Yongguang, Zhang Hao, et al . Complex lithology identification based on conventional well logging:a case of the T2L43 in Longgang area[J]. Natural Gas Exploration and Development, 2019,42(4):55-65.
[21] 刘爱疆，左烈，李景景，等. 主成分分析法在碳酸盐岩岩性识别中的应用：以YH 地区寒武系碳酸盐岩储层为例[J]. 石油与天然气地质，2013,34(2):192-196.
Liu Aijiang, Zuo Lie, Li Jingjing, et al . Application of principal component analysis in carbonate lithology identification:a case study of the Cambrian carbonate reservoir in YH field[J]. Oil & Gas Geology, 2013,34(2):192-196.
[22] 汤小燕，刘之的，邹正银，等. 准噶尔盆地六九区火成岩岩性识别方法研究[J]. 西南石油大学学报( 自然科学版)，2009,31(1):29-32,184.
Tang Xiaoyan, Liu Zhidi, Zou Zhengyin, et al . The identification method of igneous rock lithology in 69 area of Junggar Basin[J]. Journal of Southwest Petroleum University （Science & Technology Edition）, 2009,31(1):29-32,184.
[23] 吴施楷，曹俊兴. 基于连续限制玻尔兹曼机的支持向量机岩性识别方法[J]. 地球物理学进展，2016,31(2):821-828.
Wu Shikai, Cao Junxing. Lithology identification method based on continuous restricted Boltzmann machine and support vector machine[J]. Progress in Geophysics, 2016,31(2):821-828.
[24] 袁照威，段正军，张春雨，等. 基于马尔科夫概率模型的碳酸盐岩储集层测井岩性解释[J]. 新疆石油地质，2017,38(1):96-102.
Yuan Zhaowei, Duan Zhengjun, Zhang Chunyu, et al .Interpretation of logging lithology in carbonate reservoirs based on Markov chain probability model[J]. Xinjiang Petroleum Geology, 2017,38(1):96-102.
[25] 刘占国，朱超，李森明，等. 柴达木盆地西部地区致密油地质特征及勘探领域[J]. 石油勘探与开发，2017,44(2):196-204.
Liu Zhanguo, Zhu Chao, Li Senming, et al . Geological features and exploration fields of tight oil in the Cenozoic of western Qaidam Basin, NW China[J]. Petroleum Exploration and Development, 2017,44(2):196-204.
[26] 夏志远，刘占国，李森明，等. 岩盐成因与发育模式：以柴达木盆地英西地区古近系下干柴沟组为例[J]. 石油学报，2017,38(1):55-66.
Xia Zhiyuan, Liu Zhanguo, Li Senming, et al . Origin and developing model of rock salt: a case study of Lower Ganchaigou Formation of Paleogene in the west of Yingxiong ridge, Qaidam Basin[J]. Acta Petrolei Sinica, 2017,38(1):55-66.