Comprehensive Evaluation Method of Shale Oil Sweet Spot Based on Grey Correlation Analysis: A Case Study of Bonan Sag in Bohai Bay Basin
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摘要:
国内页岩油以中国陆相沉积为主,地质条件复杂多变,且地质工程甜点评价要素多元,为页岩油甜点综合评价带来了困难。以渤海盆地渤南洼陷为例,基于灰色关联理论,筛选出了页岩厚度、总有机碳含量、镜质体反射率、孔隙度、热解游离烃含量、原油密度、原油黏度、地层压力和脆性指数等9个评价指标,分析了评价指标间的相关性,优化了各评价指标的权重,计算了综合评价指数,实现了页岩油甜点的综合性、定量化精准评价。分析结果显示:渤南洼陷页岩油综合评价指数高值主要分布于XYS9—Y182—Y187井区、Y283井区南部及L42井区周围,整体向南、向北综合评价指数逐渐降低,综合评价指数与单井产量具有较好的相关性,能够较好地匹配渤南洼陷页岩油单井产量;BYP5井综合评价指数自上而下整体减小,与示踪剂监测的产量贡献率趋势一致,两者具有较好的相关性。研究结果表明,页岩油水平井完井后,通过计算综合评价指数,可以及时、准确地评价水平段的甜点段,指导页岩油水平井压裂施工。
Abstract:The geological conditions of shale oil in China, which is dominated by continental deposits, are complex and changeable, and the evaluation factors of geological engineering sweet spots are multiple, which brings difficulties to the comprehensive evaluation of shale oil sweet spots. With Bonan Sag in Bohai Bay Basin as an example, nine evaluation indexes were selected based on the grey correlation theory, including shale thickness, total organic carbon (TOC), vitrinite reflectance, porosity, pyrolysis free hydrocarbon content, crude oil density, crude oil viscosity, formation pressure, and brittleness index, and correlation analysis and weight optimization among these evaluation indexes were carried out to calculate a comprehensive evaluation index, so as to realize the comprehensive, quantitative, and accurate assessment of shale oil sweet spots. The results revealed that high values of the comprehensive evaluation index for shale oil in Bonan Sag were mainly concentrated in the XYS9, Y182, and Y187 well areas, as well as in the southern part of the Y283 well area and the surrounding vicinity of the L42 well area. The overall comprehensive evaluation index gradually decreased in the south and north directions. The comprehensive evaluation index had a good correlation with the single well production, which allowed for a good matching of shale oil production in Bonan Sag. The overall decline in the comprehensive evaluation index of the Well BYP5 from top to bottom, aligned with the trend of production contribution rates monitored by tracers, demonstrating a significant correlation between the two. The research indicate that after the completion of a shale oil horizontal well, by calculating the comprehensive evaluation index, the sweet spots of the horizontal section can be evaluated promptly and accurately to guide the fracturing measures of the shale oil horizontal well.
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Keywords:
- shale oil /
- sweet spot /
- grey correlation theory /
- comprehensive evaluation /
- Bonan Sag
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表 1 渤南洼陷页岩油井的评价指标
Table 1 Evaluation indexes of shale oil wells in Bonan Sag
井号 日产油
量/t含油性 储集性 可动性 可压性 页岩厚度/m 总有机碳
含量,%镜质体反
射率,%孔隙度,% 热解游离烃
含量/(mg·g−1)原油密度/
(kg·L−1)原油黏度/
(mPa·s)地层压力/
MPa脆性指数,% Y187 156.0 64.1 0.90 6.0 0.88 12.4 68 Y182 140.0 50.6 3.80 0.90 6.1 2.78 0.88 15.2 58.8 73 L42 79.9 32.9 8.58 0.78 1.6 6.89 0.87 28.4 45.2 69 L19 43.5 26.0 1.81 0.67 1.0 1.76 0.73 38.2 44.2 66 Y186 41.5 44.2 2.33 0.92 2.5 2.85 0.88 12.7 47.1 75 XYS9 38.5 80.2 3.13 0.86 6.6 5.13 0.87 8.4 60.0 58 BS8 12.2 15.9 3.2 0.92 0.7 39.7 62 L20 9.2 10.2 4.63 0.72 2.2 3.92 0.93 208.0 37.0 Y283 7.6 59.5 1.75 0.85 6.3 2.61 0.90 14.5 56.9 63 Y57 2.6 25.9 0.65 1.9 0.93 192.0 66 BYP1 2.5 0.85 1.6 0.91 58.6 48.9 70 L67 2.1 23.0 3.04 0.81 5.8 3.58 0.91 47.0 60 BYP2 1.1 0.66 1.2 0.93 476.0 64 L69 0.9 26.0 3.44 0.82 4.7 1.15 0.89 66 L16 0.1 39.0 2.19 0.68 1.7 2.52 0.93 42.0 Y9 0 26.6 0.62 1.7 2.96 L52 0 20.0 0.76 1.5 Y289 0 0.92 1.10 表 2 渤南洼陷页岩油井评价指标归一化处理结果
Table 2 Normalization of evaluation indexes of shale oil wells in Bonan Sag
井号 日产油 含油性 储集性 可动性 可压性 页岩厚度 总有机碳含量 镜质体反射率 孔隙度 热解游离烃含量 原油密度 原油黏度 地层压力 脆性指数 Y187 1.00 0.77 0.93 0.89 0.24 0.97 0.59 Y182 0.90 0.58 0.10 0.93 0.91 0.29 0.23 0.97 0.95 0.88 L42 0.51 0.32 1.00 0.53 0.11 1.00 0.30 0.94 0.36 0.65 L19 0.28 0.23 0.01 0.17 0 0.11 1.00 0.92 0.31 0.47 Y186 0.27 0.49 0.08 1.00 0.27 0.30 0.27 0.97 0.44 1.00 XYS9 0.25 1.00 0.20 0.80 1.00 0.70 0.32 0.98 1.00 0 BS8 0.08 0.08 0.39 0.05 1.00 0.12 0.24 L20 0.06 0.42 0.33 0.21 0.49 0.56 0 Y283 0.05 0.70 0 0.77 0.95 0.26 0.15 0.97 0.86 0.29 Y57 0.02 0.22 0.10 0.16 0 0.60 0.47 BYP1 0.02 0.77 0.11 0.12 0.88 0.52 0.71 L67 0.01 0.18 0.19 0.63 0.86 0.43 0.10 0.43 0.12 BYP2 0.01 0.13 0.04 0 0 0.35 L69 0.01 0.23 0.25 0.67 0.66 0.01 0.19 0.47 L16 0 0.41 0.06 0.20 0.13 0.25 0.02 0.91 Y9 0 0.23 0 0.13 0.32 L52 0 0.14 0.47 0.09 Y289 0 1.00 0 表 3 渤南洼陷页岩油井评价指标相关度及权重
Table 3 Correlation and weight of evaluation indexes of shale oil wells in Bonan Sag
参数 页岩厚度 总有机碳含量 镜质体反射率 孔隙度 热解游离烃含量 原油密度 原油黏度 地层压力 脆性指数 相关度 校正前 0.66 0.70 0.66 0.69 0.61 0.80 0.51 0.72 0.62 校正后 0.66 0.70 0.66 0.69 0.23 0.80 0.51 0.72 0.62 权重 0.12 0.13 0.12 0.12 0.04 0.14 0.09 0.13 0.11 表 4 渤南洼陷页岩油井的综合评价指数
Table 4 Comprehensive evaluation indexes of shale oil wells in Bonan Sag
井号 综合评价指数 井号 综合评价指数 Y187 0.47 Y57 0.16 Y182 0.61 BYP1 0.32 L42 0.52 L67 0.33 L19 0.39 BYP2 0.05 Y186 0.55 L69 0.28 XYS9 0.69 L16 0.17 BS8 0.19 Y9 0.04 L20 0.20 L52 0.08 Y283 0.60 Y289 0.11 -
[1] 李阳,赵清民,吕琦,等. 中国陆相页岩油开发评价技术与实践[J]. 石油勘探与开发,2022,49(5):955–964. LI Yang, ZHAO Qingmin, LYU Qi, et al. Evaluation technology and practice of continental shale oil development in China[J]. Petroleum Exploration and Development, 2022, 49(5): 955–964.
[2] 包书景, 葛明娜, 徐兴友, 等. 我国陆相页岩油勘探开发进展与发展建议[J/OL]. 中国地质: 1–14. [2023-05-14]. http://kns.cnki.net/kcms/detail/11.1167.P.20230510.1545.006.html. BAO Shujing, GE Mingna, XU Xingyou, et al. Progress and suggestions on exploration and development of continental shale oil in China[J/OL]. Geology in China: 1–14. [2023-05-14]. http://kns.cnki.net/kcms/detail/11.1167.P.20230510.1545.006.html.
[3] 闫林,陈福利,王志平,等. 我国页岩油有效开发面临的挑战及关键技术研[J]. 石油钻探技术,2020,48(3):63–69. YAN Lin, CHEN Fuli, WANG Zhiping, et al. Challenges and technical countermeasures for effective development of shale oil in China[J]. Petroleum Drilling Techniques, 2020, 48(3): 63–69.
[4] 郭秋麟,白雪峰,何文军,等. 页岩油资源评价方法、参数标准及典型评价实例[J]. 中国石油勘探,2022,27(5):27–41. GUO Qiulin, BAI Xuefeng, HE Wenjun, et al. Shale oil resource assessment methods, parameter standards and typical case studies[J]. China Petroleum Exploration, 2022, 27(5): 27–41.
[5] 宋明水,刘惠民,王勇,等. 济阳坳陷古近系页岩油富集规律认识与勘探实践[J]. 石油勘探与开发,2020,47(2):225–235. SONG Mingshui, LIU Huimin, WANG Yong, et al. Enrichment rules and exploration practices of Paleogene shale oil in Jiyang Depression, Bohai Bay Basin, China[J]. Petroleum Exploration and Development, 2020, 47(2): 225–235.
[6] 朱德顺. 东营、沾化凹陷页岩油有利目标综合评价方法[J]. 地质论评, 2019, 65(增刊1): 205−206. ZHU Deshun. Comprehensive evaluation method for favorable targets of shale oil in Dongying and Zhanhua Sag[J]. Geological Review, 2019, 65 (supplement1): 205−206.
[7] 何希鹏. 四川盆地东部页岩气甜点评价体系与富集高产影响因素[J]. 天然气工业,2021,41(1):59–71. HE Xipeng. Sweet spot evaluation system and enrichment and high yield influential factors of shale gas in Nanchuan area of eastern Sichuan Basin[J]. Natural Gas Industry, 2021, 41(1): 59–71.
[8] 李映艳,陈轩,高阳,等. 井震结合分析页岩油“甜点”沉积特征及分布:以吉木萨尔凹陷芦草沟组“下甜点”为例[J]. 断块油气田,2023,30(2):186–195. LI Yingyan, CHEN Xuan, GAO Yang, et al. Sedimentary morphologys and distributions of shale oil “sweet spot” by the data of well to seismic analysis: a case study of the lower sweet pot in Lucaogou Formation of Jimsar Sag[J]. Fault-Block Oil & Gas Field, 2023, 30(2): 186–195.
[9] 熊雄,肖佃师,雷祥辉,等. 吉木萨尔凹陷芦草沟组页岩油录井响应及“甜点”快速评价技术[J]. 特种油气藏,2023,30(4):35–43. XIONG Xiong, XIAO Dianshi, LEI Xianghui, et al. Response of well logging and “sweet spot” rapid evaluation technology for shale oil in the Lucaogou Formation of Jimsar Sag[J]. Special Oil & Gas Reservoirs, 2023, 30(4): 35–43.
[10] 黄天镜,刘钰洋,吴英强,等. 基于层次分析法的致密砂岩双甜点评价方法[J]. 科学技术与工程,2021,21(5):1773–1782. HUANG Tianjing, LIU Yuyang, WU Yingqiang, et al. Evaluation method of comprehensive sweet spots in tight sandstone reservoir based on analytical hierarchy process[J]. Science Technology and Engineering, 2021, 21(5): 1773–1782.
[11] 王敏生,光新军,耿黎东. 页岩油高效开发钻井完井关键技术及发展方向[J]. 石油钻探技术,2019,47(5):1–10. WANG Minsheng, GUANG Xinjun, GENG Lidong. Key drilling/completion technologies and development trends in the efficient development of shale oil[J]. Petroleum Drilling Tecniques, 2019, 47(5): 1–10.
[12] 李志明,钱门辉,黎茂稳,等. 盐间页岩油形成有利条件与地质甜点评价关键参数:以潜江凹陷潜江组潜34-10韵律为例[J]. 石油实验地质,2020,42(2):513–523. LI Zhiming, QIAN Menhui1, LI Maowen, et al. Favorable conditions of inter-salt shale oil formation and key parameters for geological sweet spots evaluation: a case study of Eq34-10 rhythm of Qianjiang Formation in Qianjiang Sag, Jianghan Basin[J]. Petroleum Geology & Experiment, 2020, 42(2): 513–523.
[13] 赵贤正, 周立宏, 蒲秀刚, 等. 歧口凹陷歧北次凹沙河街组三段页岩油地质特征与勘探突破[J]. 石油学报, 2020, 41(6): 643−657. ZHAO Xianzheng, ZHOU Lihong, PU Xiugang, et al. Geological characteristics and exploration breakthrough of shale oil in Member 3 of Shahejie Formation of Qibei Subsag, Qikou Sag[J]. Acta Petrolei Sinica, 2020, 41(6): 643−657.
[14] 周立宏,赵贤正,柴公权,等. 陆相页岩油效益勘探开发关键技术与工程实践:以渤海湾盆地沧东凹陷古近系孔二段为例[J]. 石油勘探与开发,2020,47(5):1059–1066. ZHOU Lihong, ZHAO Xianzheng, CHAI Gongquan, et al. Key exploration & development technologies and engineering practice of continental shale oil: a case study of Member 2 of Paleogene Kongdian Formation in Cangdong Sag, Bohai Bay Basin, East China[J]. Petroleum Exploration and Development, 2020, 47(5): 1059–1066.
[15] 魏永波,李俊乾,卢双舫,等. 湖相页岩油甜点综合评价方法及应用:以饶阳凹陷沙一下亚段页岩油为例[J]. 中国矿业大学学报,2021,50(5):813–824. WEI Yongbo, LI Junqian, LU Shuangfang, et al. Comprehensive evaluation method of sweet spot zone in lacustrine shale oil reservoir and its application: a case study of shale oil in lower 1st member of the Shahejie Formation in the Raoyang Sag[J]. Journal of China University of Mining & Technology, 2021, 50(5): 813–824.
[16] 张继伟. 基于主成分分析的页岩油有利区评价: 以仪陇—平昌地区大安寨段为例[J]. 断块油气田, 2021, 28(1): 28−32. ZHANG Jiwei. Evaluation of favorable areas of shale oil based on principal component analysis: taking Daanzhai member of Yilong-Pingchang Area as an example[J]. Fault-Block Oil & Gas Field, 201, 28(1): 28−32.
[17] 苟启洋,徐尚,郝芳,等. 基于灰色关联的页岩储层含气性综合评价因子及应用:以四川盆地焦石坝区块为例[J]. 天然气地球科学,2019,30(7):1045–1052. GOU Qiyang, XU Shang, HAO Fang, et al. A comprehensive evaluation index of gas-bearing property of shale reservoirs based on grey relation and its application: case study of Jiaoshiba Area, Sichuan Basin[J]. Natural Gas Geoscience, 2019, 30(7): 1045–1052.
[18] 彭丽,陆永潮,彭鹏,等. 渤海湾盆地渤南洼陷沙三下亚段泥页岩非均质性特征及演化模式:以罗69井为例[J]. 石油与天然气地质,2017,38(2):219–229. PENG Li, LU Yongchao, PENG Peng, et al. Heterogeneity and evolution model of the lower Shahejie Member 3 mud-shale in the Bonan Subsag, Bohai Bay Basin: an example from Well Luo 69[J]. Oil & Gas Geology, 2017, 38(2): 219–229.
[19] 刘鹏,刘加旭,李应美,等. 渤海湾盆地济阳坳陷渤南洼陷沙河街组三段页岩油-常规油相关分布成因机理与分布模式[J]. 中南大学学报(自然科学版),2022,53(9):3434–3448. LIU Peng, LIU Jiaxu, LI Yingmei, et al. Genetic mechanism and distribution model of correlation between shale oil and conventional oil about the third member of Shahejie Formation in Bonan Sag, Jiyang Depression, Bohai Bay Basin[J]. Journal of Central South University(Science and Technology), 2022, 53(9): 3434–3448.
[20] 李志鹏,杨勇,杜玉山,等. 渤南洼陷“济阳”夹层型页岩油评价及水平井一体化设计[J]. 中国石油大学学报(自然科学版),2023,47(2):24–35. LI Zhipeng, YANG Yong, DU Yushan, et al. Integrated design of horizontal wells and evaluation in Jiyang interlayer shale oil of Bonan Sag[J]. Journal of China University of Petroleum (Edition of Natural Science), 2023, 47(2): 24–35.
[21] 王雨菡,丁伟铭,刘璇,等. 渤海湾盆地渤南洼陷沙河街组三段下亚段岩相特征及有机质富集成因[J]. 石油与天然气地质,2019,40(5):1106–1114. WANG Yuhan, DING Weiming, LIU Xuan, et al. Lithofacies and causal mechanism of organic matter enrichment in the lower submember of the 3rd member of Shahejie Formation, Bonan Sag, Bohai Bay Basin[J]. Oil & Gas Geology, 2019, 40(5): 1106–1114.
[22] 彭绪涛,王仪,贾程,等. 基于麻雀搜索算法与BP 神经网络的压裂效果预测[J]. 石油钻采工艺,2022,44(4):522–528. PENG Xutao, WANG Yi, JIA Cheng, et al. Fracturing effect prediction based on sparrow search algorithm and BP neural network[J]. Oil Drilling & Production Technology, 2022, 44(4): 522–528.
[23] 左代容. 灰色关联分析法在剩余可采储量品位评价中的应用[J]. 断块油气田,2010,17(3):354–356. ZUO Dairong. Application of gray correlation analysis method in quality evaluation of remaining recoverable reserves[J]. Fault-Block Oil & Gas Field, 2010, 17(3): 354–356.
[24] 周志杰, 张小莉, 杨振, 等. 基于优化熵权的储层非均质性定量表征新方法研究: 以鄂尔多斯盆地志丹油区F井区长611储层为例[J/OL]. 地球物理学进展: 1−11. [2023-05-14]. http://kns.cnki.net/kcms/detail/11.2982.P.20221228.1416.032.html. ZHOU Zhijie, ZHANG Xiaoli, YANG Zhen, et al. A new quantitative characterization method of reservoir heterogeneity based on optimized entropy weight: a case study of Chang 611 reservoir in Well F of Zhidan oil area, Ordos Basin[J/OL]. Progress in Geophysics: 1−11. [2023-05-14]. http://kns.cnki.net/kcms/detail/11.2982.P.20221228.1416.032.html.
[25] 赵迪斐,郭英海,朱炎铭,等. 深层海相页岩储层精准评价与开发选层的评价体系问题评述[J]. 非常规油气,2022,9(2):1–7. ZHAO Difei, GUO Yinghai, Zhu Yanming, et al. Comments on the evaluation system of accurate evaluation and selection of deep marine shale reservoirs[J]. Unconventional Oil & Gas, 2022, 9(2): 1–7.
[26] 赵迪斐,张家明,郭英海,等. 储层精细评价潜在关键关联指标:页岩沉积构造及其量化问题研究评述[J]. 非常规油气,2023,10(1):11–20. ZHAO Difei, ZHANG Jiaming, GUO Yinghai, et al. Potential key correlation index for fine reservoir evaluation: Review on shale sedimentary structure and its quantification[J]. Unconventional Oil & Gas, 2023, 10(1): 11–20.
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