基于不同岩性的总有机碳分段预测方法——以东营凹陷始新统沙河街组三段下亚段为例

赵琳洁; 陆建林; 王保华; 李浩; 宋振响; 张彦霞

doi:10.11781/sysydz202104721

基于不同岩性的总有机碳分段预测方法——以东营凹陷始新统沙河街组三段下亚段为例

doi: 10.11781/sysydz202104721

中国石化石油勘探开发研究院无锡石油地质研究所, 江苏无锡 214126

基金项目:

中国石化科技部项目“油气战略选区评价与决策支持技术” P21086-1

国家科技重大专项 2017ZX05049001-006

详细信息

作者简介:
赵琳洁(1992-), 女, 硕士, 助理工程师, 从事石油地质研究。E-mail: zhaolj.syky@sinopec.com

中图分类号: TE122.115
计量
- 文章访问数: 440
- HTML全文浏览量: 167
- PDF下载量: 52
- 被引次数: 0
出版历程
- 收稿日期: 2020-04-28
- 修回日期: 2021-06-04
- 刊出日期: 2021-07-28

Segmented prediction of TOC based on lithology: a case study of the lower sub-member of the third member of the Eocene Shahejie Formation, Dongying Sag, Bohai Bay Basin

Wuxi Research Institute of Petroleum Geology, SINOPEC, Wuxi, Jiangsu 214126, China

摘要

摘要: 陆相泥页岩具有非均质性强的特征，矿物组分、总有机碳含量（TOC）等参数的分布预测是陆相页岩油气资源评价与选区研究的基础。为获取陆相页岩地层上述关键参数纵向分布特征，克服测试实验周期长、成本高、取样难等现实问题，开展了相应关键参数测井预测方法研究。以渤海湾盆地东营凹陷始新统沙河街组三段下亚段为例，结合XRD实测数据以及测录井等资料，具体针对不同岩性选取不同TOC预测模型，建立了不同岩性的TOC识别模板。运用所构建的模型对Fy1井沙三下亚段的岩性、TOC进行典型预测，分段预测TOC方法得到的预测值与实测值之间的相关系数较高，约为0.84，表明该方法可行性较强，可为开展陆相页岩油资源评价及目标评价提供有效的技术支撑。
- 有机碳含量 /
- 泥页岩 /
- 沙三下亚段 /
- 沙河街组 /
- 始新统 /
- 东营凹陷 /
- 渤海湾盆地
Abstract: The continental mud shale has a strong heterogeneity, and the prediction of its mineral composition, TOC (total organic carbon content) and other parameters is critical for the evaluation and optimization of continental shale oil and gas abundance. To obtain the vertical distribution characteristics of these key parameters of the continental shale formation, and to ovoid the practical problems such as time-consuming experiments, high cost, and sampling difficulty etc., a research of the logging prediction method for key parameters was carried out. The lower sub-member of the third member of the Eocene Shahejie Formation (Es₃) in the Dongying Sag of the Bohai Bay Basin was employed as an example, XRD measurements and logging were carried out based on which, various TOC prediction models were selected for different lithologies, and some TOC identification templates of different lithologies were established.The constructed model was then used to perform typical predictions on the lithology and TOC of the lower sub-member of the Shahejie Formation in well Fy1.The correlation coefficient between the predicted values obtained by the segmented prediction method for TOC and the measured values appeared to be relatively high (about 0.84), indicating that the method developed here is highly feasible and can provide effective technical support for the evaluation and target optimization of continental shale oil resources.
- organic carbon content /
- shale /
- the lower submember of the third member of Shahejie Formation /
- Eocene /
- Shahejie Formation /
- Dongying Sag /
- Bohai Bay Basin

HTML全文

图 1 渤海湾盆地东营凹陷始新统沙河街组三段下亚段细粒沉积岩岩相分布

据参考文献[15]。

Figure 1. Lithofacies of lamellar fine-grained sedimentary rocks in the lower sub-member of Es₃, Dongying Sag, Bohai Bay Basin

下载: 全尺寸图片幻灯片

图 2 渤海湾盆地东营凹陷始新统沙河街组三段下亚段岩性三角图

Figure 2. Lithology triangular chart of the lower sub-member of Es₃, Dongying Sag, Bohai Bay Basin

下载: 全尺寸图片幻灯片

图 3 渤海湾盆地东营凹陷始新统沙河街组三段下亚段预测岩性三角图

Figure 3. Prediction of lithology of the lower sub-member of Es₃, Dongying Sag, Bohai Bay Basin

下载: 全尺寸图片幻灯片

图 4 渤海湾盆地东营凹陷始新统沙河街组三段下亚段主要岩性不同方法TOC的预测值与实测值交会图

Figure 4. Predicted and measured values of TOC with different methods, lower sub-member of Es₃, Dongying Sag, Bohai Bay

下载: 全尺寸图片幻灯片

图 5 渤海湾盆地东营凹陷始新统沙河街组三段下亚段黏土岩中AC、DEN曲线与TOC实测值交会图

Figure 5. AC, DEN and measured TOC values in clay rocks, lower sub-member of Es₃, Dongying Sag, Bohai Bay Basin

下载: 全尺寸图片幻灯片

图 6 渤海湾盆地东营凹陷始新统沙河街组三段下亚段不同预测方法预测TOC与实际值交会图

Figure 6. Measured and predicted TOC values with different methods, lower sub-member of Es₃, Dongying Sag, Bohai Bay Basin

下载: 全尺寸图片幻灯片

图 7 渤海湾盆地东营凹陷Fy1井始新统沙河街组三段下亚段柱状图

Figure 7. Histogram of lower sub-member of Es₃, well Fy1, Dongying Sag, Bohai Bay Basin

下载: 全尺寸图片幻灯片

表 1 渤海湾盆地东营凹陷不同岩性的测井响应特征

Table 1. Logging responses of different lithologies, Dongying Sag, Bohai Bay Basin

岩性	测井响应特征	GR/API范围(峰值)	AC/(μs·ft^-1)范围(峰值)	NPHI/%范围(峰值)
粉砂岩	低GR、低AC、低NPHI	46.49~68.08(59.13)	77.54~95.03(83.55)	0.16~0.26(0.19)
黏土岩	高GR、高AC、高NPHI	58.08~73.65(64.34)	79.46~97.98(92.92)	0.17~0.25(0.22)
碳酸盐岩(灰岩)	低GR、中AC、低NPHI	37.81~79.67(59.02)	66.62~113.57(86.15)	0.12~0.33(0.19)
混合细粒岩	中GR、中AC、中NPHI	36.99~87.06(60.17)	66.04~111.01(88.91)	0.12~0.33(0.20)

下载: 导出CSV

表 2 渤海湾盆地东营凹陷始新统沙河街组三段下亚段不同岩性TOC预测模型

Table 2. Prediction models of TOC of different lithologies, lower sub-member of Es₃, Dongying Sag, Bohai Bay Basin

岩性	TOC预测方法	预测模型及参数
混合细粒岩	密度曲线法	$ \omega(\mathrm{TOC})=a_1 D E N+b_1$
灰岩	密度曲线法	$ \omega(\mathrm{TOC})=a_2 D E N+b_2$
粉砂岩	ΔlogR法	$ \Delta \lg R=\lg \left(\frac{R}{2.213}\right)+0.02(\Delta t-75.013)$
粉砂岩	ΔlogR法	$ \omega(\mathrm{TOC})=10^{(2.297-0.1688 \mathrm{LOM})} \Delta \lg R+c_3$
泥岩	多元回归法	$ \omega(\mathrm{TOC})=a_4 D E N+b_4 A C+c_4 G R+d_4$
注：DEN为密度曲线；R为电阻率曲线；Δt为声波时差曲线；LOM为成熟度指数；a₁、a₂、a₄、b₄、c₄为斜率；b₁、b₂、c₃、d₄为截距。

下载: 导出CSV

参考文献(22)

[1]	陈宗清. 四川盆地下寒武统九老洞组页岩气勘探[J]. 中国石油勘探, 2012, 17(5): 71-78. https://www.cnki.com.cn/Article/CJFDTOTAL-KTSY201205012.htm CHEN Zongqing. Shale gas exploration in Jiulaodong Formation of Lower Cambrian, Sichuan Basin[J]. China Petroleum Exploration, 2012, 17(5): 71-78. https://www.cnki.com.cn/Article/CJFDTOTAL-KTSY201205012.htm
[2]	陈康, 张金川, 唐玄, 等. 大民屯凹陷沙四段页岩含油率影响因素分析[J]. 中国石油勘探, 2015, 20(6): 22-28. https://www.cnki.com.cn/Article/CJFDTOTAL-KTSY201506003.htm CHEN Kang, ZHANG Jinchuan, TANG Xuan, et al. Analysis of influence factors for shale oil contents in 4th member of Shahejie Formation in Damintun Sag[J]. China Petroleum Exploration, 2015, 20(6): 22-28. https://www.cnki.com.cn/Article/CJFDTOTAL-KTSY201506003.htm
[3]	贺君玲, 邓守伟, 陈文龙, 等. 利用测井技术评价松辽盆地南部油页岩[J]. 吉林大学学报(地球科学版), 2006, 36(6): 909-914. https://www.cnki.com.cn/Article/CJFDTOTAL-CCDZ200606006.htm HE Junling, DENG Shouwei, CHEN Wenlong, et al. Evaluation of oil shale in the southern Songliao Basin using logging techniques[J]. Journal of Jilin University(Earth Science Edition), 2006, 36(6): 909-914. https://www.cnki.com.cn/Article/CJFDTOTAL-CCDZ200606006.htm
[4]	王清辉, 冯进. 烃源岩TOC测井评价方法及应用: 以珠江口盆地文昌组为例[J]. 天然气地球科学, 2018, 29(2): 251-258. https://www.cnki.com.cn/Article/CJFDTOTAL-TDKX201802011.htm WANG Qinghui, FENG Jin. The TOC logging evaluation methods and application of source rock: a case study of Wenchang Formation in Pearl River Mouth Basin[J]. Natural Gas Geoscience, 2018, 29(2): 251-258; https://www.cnki.com.cn/Article/CJFDTOTAL-TDKX201802011.htm
[5]	胡慧婷, 卢双舫, 刘超, 等. 测井资料计算源岩有机碳含量模型对比及分析[J]. 沉积学报, 2011, 29(6): 1199-1205. https://www.cnki.com.cn/Article/CJFDTOTAL-CJXB201106023.htm HU Huiting, LU Shuangfang, LIU Chao, et al. Models for calculating organic carbon content from logging information: comparison and analysis[J]. Acta Sedimentologica Sinica, 2011, 29(6): 1199-1205. https://www.cnki.com.cn/Article/CJFDTOTAL-CJXB201106023.htm
[6]	宋占东, 查明, 张小莉, 等. 烃源岩有机碳测井定量评价及在高邮凹陷永安地区的应用[J]. 西安石油大学学报(自然科学版), 2009, 24(2): 18-20. https://www.cnki.com.cn/Article/CJFDTOTAL-XASY200902006.htm SONG Zhandong, ZHA Ming, ZHANG Xiaoli, et al. A method for the quantitative evaluation of the organic carbon content of the hydrocarbon source rock from well logging information and its application in Yong'an Oilfield in Gaoyou Sag[J]. Journal of Xi'an Shiyou University (Natural Science Edition), 2009, 24(2): 18-20. https://www.cnki.com.cn/Article/CJFDTOTAL-XASY200902006.htm
[7]	毛永强, 李宁, 曹开芳, 等. 松南地区陆相泥页岩TOC定量预测技术[J]. 断块油气田, 2020, 27(3): 313-334. https://www.cnki.com.cn/Article/CJFDTOTAL-DKYT202003010.htm MAO Yongqiang, LI Ning, CAO Kaifang, et al. Quantitative prediction technology of TOC of continental mud shale in Songnan area[J]. Fault-Block Oil and Gas Field, 2020, 27(3): 313-334. https://www.cnki.com.cn/Article/CJFDTOTAL-DKYT202003010.htm
[8]	边雷博, 柳广弟, 孙明亮, 等. 优化的ΔlogR技术及其在中-深层烃源岩总有机碳含量预测中的应用[J]. 油气地质与采收率, 2018, 25(4): 40-45. https://www.cnki.com.cn/Article/CJFDTOTAL-YQCS201804007.htm BIAN Leibo, LIU Guangdi, SUN Mingliang, et al. Improved ΔlogR technique and its application to predicting total organic carbon of source rocks with middle and deep burial depth[J]. Petroleum Geology and Recovery Efficiency, 2018, 25(4): 40-45. https://www.cnki.com.cn/Article/CJFDTOTAL-YQCS201804007.htm
[9]	王敏. 页岩油评价的关键参数及求取方法研究[J]. 沉积学报, 2014, 32(1): 174-181. https://www.cnki.com.cn/Article/CJFDTOTAL-CJXB201401020.htm WANG Min. Key parameter and calculation in shale oil reservoir evaluation[J]. ActaSedimentologica Sinica, 2014, 32(1): 174-181. https://www.cnki.com.cn/Article/CJFDTOTAL-CJXB201401020.htm
[10]	吴靖, 姜在兴, 王欣. 湖相细粒沉积岩三-四级层序地层划分方法与特征: 以渤海湾盆地东营凹陷古近系沙四上亚段为例[J]. 天然气地球科学, 2018, 29(2): 199-210. https://www.cnki.com.cn/Article/CJFDTOTAL-TDKX201802006.htm WU Jing, JIANG Zaixing, WANG Xin. Sequence stratigraphy characteristics of lacustrine fine-grained sedimentary rocks: a case study of the upper fourth member of Paleogene Shahejie Formation, Dongying Sag, Bohai Bay Basin[J]. Natural Gas Geoscience, 2018, 29(2): 199-210. https://www.cnki.com.cn/Article/CJFDTOTAL-TDKX201802006.htm
[11]	刘惠民, 孙善勇, 操应长, 等. 东营凹陷沙三段下亚段细粒沉积岩岩相特征及其分布模式[J]. 油气地质与采收率, 2017, 24(1): 1-10. https://www.cnki.com.cn/Article/CJFDTOTAL-YQCS201701001.htm LIU Huimin, SUN Shanyong, CAO Yingchang, et al. Lithofacies characteristics and distribution model of fine-grained sedimentary rock in the lower Es₃ member, Dongying Sag[J]. Petroleum Geology and Recovery Efficiency, 2017, 24(1): 1-10. https://www.cnki.com.cn/Article/CJFDTOTAL-YQCS201701001.htm
[12]	李继岩. 局限湖盆滨浅湖滩坝砂体沉积特征: 以东营凹陷青南洼陷沙四上亚段为例[J]. 断块油气田, 2020, 27(2): 160-164. https://www.cnki.com.cn/Article/CJFDTOTAL-DKYT202002006.htm LI Jiyan. Sedimentary characteristics of shore-shallow lake-beach bar in limited lacustrine basin: taking upper part of fourth Member of Shahejie Formation of Qingnan Sag in Dongying Depression as an example[J]. Fault-Block Oil and Gas Field, 2020, 27(2): 160-164. https://www.cnki.com.cn/Article/CJFDTOTAL-DKYT202002006.htm
[13]	王勇, 宋国奇, 刘惠民, 等. 济阳坳陷细粒沉积岩形成环境及沉积构造[J]. 东北石油大学学报, 2015, 39(3): 7-14. https://www.cnki.com.cn/Article/CJFDTOTAL-DQSY201503003.htm WANG Yong, SONG Guoqi, LIU Huimin, et al. Formation environment and sedimentary structures of fine-grained sedimentary rock in Jiyang Depression[J]. Journal of Northeast Petroleum University, 2015, 39(3): 7-14. https://www.cnki.com.cn/Article/CJFDTOTAL-DQSY201503003.htm
[14]	逄淑伊, 操应长, 梁超. 渤海湾盆地东营凹陷沙四上亚段-沙三下亚段岩相特征及沉积环境: 以樊页1井为例[J]. 石油与天然气地质, 2019, 40(4): 799-809. https://www.cnki.com.cn/Article/CJFDTOTAL-SYYT201904011.htm PANG Shuyi, CAO Yingchang, LIANG Chao. Lithofacies characteristics and sedimentary environment of Es^4U and Es^3L: a case study of Well FY1 in Dongying sag, Bohai Bay Basin[J]. Oil & Gas Geology, 2019, 40(4): 799-809. https://www.cnki.com.cn/Article/CJFDTOTAL-SYYT201904011.htm
[15]	王苗, 陆建林, 左宗鑫, 等. 纹层状细粒沉积岩特征及主控因素分析: 以渤海湾盆地东营凹陷沙四上-沙三下亚段为例[J]. 石油实验地质, 2018, 40(4): 470-478. doi: 10.11781/sysydz201804470 WANG Miao, LU Jianlin, ZUO Zongxin, et al. Characteristics and dominating factors of lamellar fine-grained sedimentary rocks: a case study of the upper Es₄ member-lower Es₃ member, Dongying Sag, Bohai Bay Basin[J]. Petroleum Geology & Experiment, 2018, 40(4): 470-478. doi: 10.11781/sysydz201804470
[16]	杜学斌, 刘辉, 刘惠民, 等. 细粒沉积物层序地层划分方法初探: 以东营凹陷樊页1井沙三下-沙四上亚段泥页岩为例[J]. 地质科技情报, 2016, 35(4): 1-11. https://www.cnki.com.cn/Article/CJFDTOTAL-DZKQ201604002.htm DU Xuebin, LIU Hui, LIU Huimin, et al. Methods of sequence stratigraphy in the fine-grained sediments: a case from the upper fourth sub-member and the lower third sub-member of the Shahejie Formation in well Fanye 1 of Dongying Depression[J]. Geological Science and Technology Information, 2016, 35(4): 1-11. https://www.cnki.com.cn/Article/CJFDTOTAL-DZKQ201604002.htm
[17]	邹才能, 杨智, 崔景伟, 等. 页岩油形成机制、地质特征及发展对策[J]. 石油勘探与开发, 2013, 40(1): 14-26. https://www.cnki.com.cn/Article/CJFDTOTAL-SKYK201301003.htm ZOU Caineng, YANG Zhi, CUI Jingwei, et al. Formation mechanism, geological characteristics and development strategy of nonmarine shale oil in China[J]. Petroleum Exploration and Deve-lopment, 2013, 40(1): 14-26. https://www.cnki.com.cn/Article/CJFDTOTAL-SKYK201301003.htm
[18]	朱日房, 张林晔, 李政, 等. 陆相断陷盆地页岩油资源潜力评价: 以东营凹陷沙三段下亚段为例[J]. 油气地质与采收率, 2019, 26(1): 129-136. https://www.cnki.com.cn/Article/CJFDTOTAL-YQCS201901014.htm ZHU Rifang, ZHANG Linye, LI Zheng, et al. Evaluation of shale oil resource potential in continental rift basin: a case study of Lower Es₃ Member in Dongying Sag[J]. Petroleum Geology and Recovery Efficiency, 2019, 26(1): 129-136. https://www.cnki.com.cn/Article/CJFDTOTAL-YQCS201901014.htm
[19]	姜在兴, 梁超, 吴靖, 等. 含油气细粒沉积岩研究的几个问题[J]. 石油学报, 2013, 34(6): 1031-1039. https://www.cnki.com.cn/Article/CJFDTOTAL-SYXB201306001.htm JIANG Zaixing, LIANG Chao, WU Jing, et al. Several issues in sedimentological studies on hydrocarbon-bearing fine-grained sedimentary rocks[J]. Acta Petrolei Sinica, 2013, 34(6): 1031-1039. https://www.cnki.com.cn/Article/CJFDTOTAL-SYXB201306001.htm
[20]	张顺, 陈世悦, 谭明友, 等. 东营凹陷西部沙河街组三段下亚段泥页岩沉积微相[J]. 石油学报, 2014, 35(4): 633-645. https://www.cnki.com.cn/Article/CJFDTOTAL-SYXB201404003.htm ZHANG Shun, CHEN Shiyue, TAN Mingyou, etal. Characterization of sedimentary microfacies of shale in the lower third sub-member of Shahejie Formation, western Dongying Sag[J]. Acta Petrolei Sinica, 2014, 35(4): 633-645. https://www.cnki.com.cn/Article/CJFDTOTAL-SYXB201404003.htm
[21]	王濡岳, 丁文龙, 王哲, 等. 页岩气储层地球物理测井评价研究现状[J]. 地球物理学进展, 2015, 30(1): 228-241. https://www.cnki.com.cn/Article/CJFDTOTAL-DQWJ201501034.htm WANG Ruyue, DING Wenlong, WANG Zhe, et al. Progress of geophysical well logging in shale gas reservoir evaluation[J]. Progress in Geophysics, 2015, 30(1): 228-241. https://www.cnki.com.cn/Article/CJFDTOTAL-DQWJ201501034.htm
[22]	朱定伟, 王香增, 丁文龙, 等. 测井资料在优质页岩气储层识别中的应用: 以鄂尔多斯盆地东南部长7段黑色页岩为例[J]. 西安石油大学学报(自然科学版), 2013, 28(2): 25-29. https://www.cnki.com.cn/Article/CJFDTOTAL-XASY201302006.htm ZHU Dingwei, WANG Xiangzeng, DING Wenlong, et al. Application of logging data in the identification of high quality shale gas reservoirs: an example from the Chang-7 black shale in southeastern Ordos Basin[J]. Journal of Xi'an Shiyou University(Natural Science Edition), 2013, 28(2): 25-29. https://www.cnki.com.cn/Article/CJFDTOTAL-XASY201302006.htm