Gas-bearing property evaluation by petrophysical logging in shale gas reservoirs: a case study in J area of Fuling shale gas field, Sichuan Basin
-
摘要: 页岩储层岩性较复杂、储集空间类型多样,现有的含气性测井综合评价方法体系还不够完善。为深化四川盆地涪陵页岩气田J区块页岩储层含气性评价认识,应用密度-中子叠合法、自然伽马-去铀伽马叠合法、铀-钍比值法开展含气储层定性识别,并对吸附气、游离气、孔隙度、含气饱和度等含气性参数进行了测井定量预测研究。在多参数对比研究的基础上,优选了有机碳含量、孔隙度、含气饱和度、硅质含量、埋深为影响含气性测井评价参数,采用灰色关联分析法构建出储层含气性测井评价指数GQ,建立了含气性评价标准,即Ⅰ类含气储层GQ ≥ 0.57,Ⅱ类含气储层0.37 < GQ < 0.57,Ⅲ类含气储层GQ ≤ 0.37。该方法应用于J区块表明,含气性参数定量预测模型精度较高,且含气性评价标准可以对储层含气性进行有效的评价和分类,具有很好的推广前景。Abstract: The lithology of shale reservoirs is complex and the types of storage porosity are diverse. The existing gas-bearing property evaluation system by petrophysical logging is not perfect. In order to deepen the understanding of the gas-bearing capacity evaluation of shale reservoirs in J area of the Fuling shale gas field in the Sichuan Basin, the density-neutron curve superposition method, natural gamma-de-uranium gamma curve superposition method, and uranium-thorium ratio method are applied in qualitative recognition. Quantitative logging research was carried out on gas-bearing parameters such as adsorbed gas, free gas, porosity, and gas saturation. Based on the multi-parameter comparative study, organic carbon content, porosity, gas saturation, siliceous content, and burial depth are selected as the logging evaluation parameters that affect gas-bearing properties. A logging evaluation index (GQ) for gas-bearing capacity is constructed using fuzzy correlation analysis. The gas-bearing evaluation criterion is established, that is, GQ ≥ 0.57 for type Ⅰ gas-bearing reservoirs, 0.37 < GQ < 0.57 for type Ⅱ gas-bearing reservoirs, and GQ ≤ 0.37 for type Ⅲ gas-bearing reservoirs. The application of this method in J area shows that the accuracy of the quantitative prediction model for gas-bearing parameters is high, and the gas-bearing evaluation criteria can effectively evaluate and classify the gas-bearing properties of the reservoir.
-
表 1 各项参数权重系数
Table 1. Weight coefficient of every parameter
参数 有机碳含量 孔隙度 含气饱和度 硅质含量 埋深 关联度ri 0.69 0.57 0.70 0.59 0.59 权重系数Wi 0.22 0.18 0.22 0.19 0.19 表 2 四川盆地涪陵页岩气田J区块含气性测井综合评价标准
Table 2. Comprehensive logging evaluation criteria of gas-bearing property of J area, Fuling shale gas field, Sichuan Basin
评价等级 GQ 有机碳含量/% 孔隙度/% 硅质含量/% Ⅰ ≥0.57 ≥4 ≥4.5 ≥60 Ⅱ 0.37~0.57 3.5~4 4~4.5 55~60 Ⅲ ≤0.37 ≤3.5 ≤4 ≤55 -
[1] 罗胜元, 刘安, 李海, 等. 中扬子宜昌地区寒武系水井沱组页岩含气性及影响因素[J]. 石油实验地质, 2019, 41(1): 56-67. doi: 10.11781/sysydz201901056LUO Shengyuan, LIU An, LI Hai, et al. Gas-bearing characte-ristics and controls of the Cambrian Shuijingtuo Formation in Yichang area, Middle Yangtze region[J]. Petroleum Geology & Experiment, 2019, 41(1): 56-67. doi: 10.11781/sysydz201901056 [2] 张洪洁, 王凤琴, 刘航, 等. 鄂尔多斯盆地东南部长7段页岩气含气量及影响因素[J]. 新疆石油地质, 2019, 40(6): 666-672. https://www.cnki.com.cn/Article/CJFDTOTAL-XJSD201906005.htmZHANG Hongjie, WANG Fengqin, LIU Hang, et al. Shale gas content and its influencing factors in Chang 7 member of Southeastern Ordos basin[J]. Xinjiang Petroleum Geology, 2019, 40(6): 666-672. https://www.cnki.com.cn/Article/CJFDTOTAL-XJSD201906005.htm [3] 严伟, 王建波, 刘帅, 等. 四川盆地焦石坝地区龙马溪组泥页岩储层测井识别[J]. 天然气工业, 2014, 34(6): 30-36. https://www.cnki.com.cn/Article/CJFDTOTAL-TRQG201406006.htmYAN Wei, WANG Jianbo, LIU Shuai, et al. Logging identification for the Longmaxi mud shale reservoir in the Jiaoshiba area, Sichuan Basin[J]. Natural Gas Industry, 2014, 34(6): 30-36. https://www.cnki.com.cn/Article/CJFDTOTAL-TRQG201406006.htm [4] 彭超, 唐军, 冯爱国, 等. 涪陵页岩气储层含气性测井评价[J]. 科学技术与工程, 2017, 17(2): 190-196. doi: 10.3969/j.issn.1671-1815.2017.02.033PENG Chao, TANG Jun, FENG Aiguo, et al. Gas content ability evaluation by logging technology in Fuling shale gas reservoir[J]. Science Technology and Engineering, 2017, 17(2): 190-196. doi: 10.3969/j.issn.1671-1815.2017.02.033 [5] 刘洪林, 王红岩, 方朝合, 等. 中国南方古老海相页岩气超压富集特征及勘探开发意义[J]. 非常规油气, 2014, 1(1): 11-16. https://www.cnki.com.cn/Article/CJFDTOTAL-FCYQ201401003.htmLIU Honglin, WANG Hongyan, FANG Chaohe, et al. The characte-ristics of over-pressure reservoir for older South China marine shale and its significance for exploration[J]. Unconventional Oil & Gas, 2014, 1(1): 11-16. https://www.cnki.com.cn/Article/CJFDTOTAL-FCYQ201401003.htm [6] 许露露, 张焱林, 陈程, 等. 鄂西地区黄陵背斜周缘五峰组-龙马溪组页岩气储层及含气性特征[J]. 特种油气藏, 2019, 26(5): 26-32. https://www.cnki.com.cn/Article/CJFDTOTAL-TZCZ201905005.htmXU Lulu, ZHANG Yanlin, CHEN Cheng, et al. Shale gas reservoir and gas-bearing properties of Wufeng-Longmaxi formations in the periphery of Huangling anticline of western Hubei province[J]. Special oil & Gas Reservoirs, 2019, 26(5): 26-32. https://www.cnki.com.cn/Article/CJFDTOTAL-TZCZ201905005.htm [7] 杨克兵, 王连君, 刘懿, 等. 阵列声波测井评价致密砂岩气层含气性[J]. 断块油气田, 2019, 26(4): 486-490. https://www.cnki.com.cn/Article/CJFDTOTAL-DKYT201904017.htmYANG Kebing, WANG Lianjun, LIU Yi, et al. Gas-bearing pro-perties evaluation of tight sandstone gas reservoir by array acoustic logging[J]. Fault-Block Oil and Gas Field, 2019, 26(4): 486-490. https://www.cnki.com.cn/Article/CJFDTOTAL-DKYT201904017.htm [8] 夏宏泉, 刘畅, 王瀚玮, 等. 页岩含气量的测井评价方法研究[J]. 特种油气藏, 2019, 26(3): 1-6. https://www.cnki.com.cn/Article/CJFDTOTAL-TZCZ201903001.htmXIA Hongquan, LIU Chang, WANG Hanwei, et al. Logging evaluation of shale gas content[J]. Special Oil & Gas Reservoirs, 2019, 26(3): 1-6. https://www.cnki.com.cn/Article/CJFDTOTAL-TZCZ201903001.htm [9] 方栋梁, 孟志勇. 页岩气富集高产主控因素分析: 以四川盆地涪陵地区五峰组-龙马溪组一段页岩为例[J]. 石油实验地质, 2020, 42(1): 37-41. doi: 10.11781/sysydz202001037FANG Dongliang, MENG Zhiyong. Main controlling factors of shale gas enrichment and high yield: a case study of Wufeng-Longmaxi formations in Fuling area, Sichuan Basin[J]. Petroleum Geology & Experiment, 2020, 42(1): 37-41. doi: 10.11781/sysydz202001037 [10] 魏力民, 王岩, 张天操, 等. 页岩气富集与高产主控因素: 以川南地区五峰组-龙马溪组为例[J]. 断块油气田, 2020, 27(6): 700-704. https://www.cnki.com.cn/Article/CJFDTOTAL-DKYT202006006.htmWEI Limin, WANG Yan, ZHANG Tiancao, et al. Main control factors of enrichment and high production of shale gas: a case study of Wufeng-Longmaxi Formation in Southern Sichuan[J]. Fault-Block Oil and Gas Field, 2020, 27(6): 700-704. https://www.cnki.com.cn/Article/CJFDTOTAL-DKYT202006006.htm [11] 梁学堂, 张祎然, 张海强. 鄂西地区页岩储层伽玛能谱特征与沉积环境及综合评价[J]. 资源环境与工程, 2018, 32(4): 576-583. https://www.cnki.com.cn/Article/CJFDTOTAL-HBDK201804012.htmLIANG Xuetang, ZHANG Yiran, ZHANG Haiqiang. Characteristics of gamma-ray spectroscopy, sedimentary environment and comprehensive evaluation of shale gas reservoir in western Hubei province[J]. Resources Environment & Engineering, 2018, 32(4): 576-583. https://www.cnki.com.cn/Article/CJFDTOTAL-HBDK201804012.htm [12] 张作清, 孙建孟. 页岩气测井评价进展[J]. 石油天然气学报, 2013, 35(3): 90-95. https://www.cnki.com.cn/Article/CJFDTOTAL-JHSX201303019.htmZHANG Zuoqing, SUN Jianmeng. Progress of logging evaluation on shale gas reservoirs[J]. Journal of Oil and Gas Technology, 2013, 35(3): 90-95. https://www.cnki.com.cn/Article/CJFDTOTAL-JHSX201303019.htm [13] 陈康, 张金川, 唐玄. 湘鄂西下志留统龙马溪组页岩含气性测井评价[J]. 特种油气藏, 2016, 23(1): 16-20. https://www.cnki.com.cn/Article/CJFDTOTAL-TZCZ201601004.htmCHEN Kang, ZHANG Jinchuan, TANG Xuan. Gas content logging evaluation of Lower Silurian Longmaxi Shale in western Hunan-Hubei[J]. Special Oil and Gas Reservoir, 2016, 23(1): 16-20. https://www.cnki.com.cn/Article/CJFDTOTAL-TZCZ201601004.htm [14] 郭怀志, 潘保芝, 张丽华, 等. 页岩吸附模型及吸附气含气量计算方法进展[J]. 地球物理学进展, 2016, 31(3): 1080-1087. https://www.cnki.com.cn/Article/CJFDTOTAL-DQWJ201603020.htmGUO Huaizhi, PAN Baozhi, ZHANG Lihua, et al. Progress in adsorption model and calculation method of absorbed gas content of shale[J]. Progress in Geophysics, 2016, 31(3): 1080-1087. https://www.cnki.com.cn/Article/CJFDTOTAL-DQWJ201603020.htm [15] 石文睿, 张占松, 张建平, 等. 建南东岳庙段页岩气常规测井解释模型研究: 以JYHF-1井为例[J]. 天然气勘探与开发, 2014, 37(2): 29-34. https://www.cnki.com.cn/Article/CJFDTOTAL-TRKT201402007.htmSHI Wenrui, ZHANG Zhansong, ZHANG Jianping, et al. Conventional well-logging interpretation model for shale gas in Dongyuemiao Member of Jiannan area: an example from JYHF-1 well[J]. Natural Gas Exploration and Development, 2014, 37(2): 29-34. https://www.cnki.com.cn/Article/CJFDTOTAL-TRKT201402007.htm [16] LEWIS R, INGRAHAM D, PEARCY M, et al. New evaluation Techniques for gas shale reservoirs[C]//Reservoir Symposium 2004. Schlumberger: [s. n. ], 2004. [17] 张晓明, 石万忠, 舒志国, 等. 涪陵地区页岩含气量计算模型及应用[J]. 地球科学, 2017, 42(7): 1157-1168. https://www.cnki.com.cn/Article/CJFDTOTAL-DQKX201707011.htmZHANG Xiaoming, SHI Wanzhong, SHU Zhiguo, et al. Calculation model of shale gas content and its application in Fuling area[J]. Earth Science, 2017, 42(7): 1157-1168. https://www.cnki.com.cn/Article/CJFDTOTAL-DQKX201707011.htm [18] 石文睿, 张超谟, 张占松, 等. 涪陵页岩气田焦石坝页岩气储层含气量测井评价[J]. 测井技术, 2015, 39(3): 357-362. https://www.cnki.com.cn/Article/CJFDTOTAL-CJJS201503023.htmSHI Wenrui, ZHANG Chaomo, ZHANG Zhansong, et al. Log evaluation of gas content from Jiaoshiba shale gas reservoir in Fuling gas field[J]. Well Logging Technology, 2015, 39(3): 357-362. https://www.cnki.com.cn/Article/CJFDTOTAL-CJJS201503023.htm [19] 李霞, 程相志, 周灿灿, 等. 页岩油气储层测井评价技术及应用[J]. 天然气地球科学, 2015, 26(5): 904-914. https://www.cnki.com.cn/Article/CJFDTOTAL-TDKX201505014.htmLI Xia, CHENG Xiangzhi, ZHOU Cancan, et al. Technology and application of well logging evaluation of shale oil and gas reservoirs[J]. Natural Gas Geoscience, 2015, 26(5): 904-914. https://www.cnki.com.cn/Article/CJFDTOTAL-TDKX201505014.htm [20] 李武广, 钟兵, 杨洪志, 等. 页岩储层含气性评价及影响因素分析: 以长宁-威远国家级试验区为例[J]. 天然气地球科学, 2014, 25(10): 1653-1660. https://www.cnki.com.cn/Article/CJFDTOTAL-TDKX201410022.htmLI Wuguang, ZHONG Bing, YANG Hongzhi, et al. Evaluation of gas-bearing property for shale reservoir and its influence factors analysis: taking Changning-Weiyuan national experimental zone as an example[J]. Natural Gas Geoscience, 2014, 25(10): 1653-1660. https://www.cnki.com.cn/Article/CJFDTOTAL-TDKX201410022.htm [21] 许宏龙, 刘建, 乔诚, 等. 灰色关联分析法在双河油田储层评价中的应用[J]. 油气藏评价与开发, 2015, 5(5): 17-21. https://www.cnki.com.cn/Article/CJFDTOTAL-KTDQ201505005.htmXU Honglong, LIU Jian, QIAO Cheng, et al. Application of gray correlative analysis method to reservoir evaluation of Shuanghe oilfield[J]. Reservoir Evaluation and Development, 2015, 5(5): 17-21. https://www.cnki.com.cn/Article/CJFDTOTAL-KTDQ201505005.htm [22] 王衍, 马俯波, 张海英, 等. 灰色关联分析法在页岩储层评价中的应用: 以湖南保靖页岩气区块为例[J]. 非常规油气, 2017, 4(6): 8-12. https://www.cnki.com.cn/Article/CJFDTOTAL-FCYQ201706002.htmWANG Yan, MA Fubo, ZHANG Haiying, et al. Application of grey relational analysis in shale gas reservoir evaluation: taking shale gas block in Baojing Hunan as an example[J]. Unconventional Oil & Gas, 2017, 4(6): 8-12. https://www.cnki.com.cn/Article/CJFDTOTAL-FCYQ201706002.htm [23] 王忠东, 王业博, 董红, 等. 页岩气水平井产量主控因素分析及产能预测[J]. 测井技术, 2017, 41(5): 577-582. https://www.cnki.com.cn/Article/CJFDTOTAL-CJJS201705018.htmWANG Zhongdong, WANG Yebo, DONG Hong, et al. Production main control factors analysis and productivity prediction for shale gas of horizontal well[J]. Well Logging Technology, 2017, 41(5): 577-582. https://www.cnki.com.cn/Article/CJFDTOTAL-CJJS201705018.htm [24] 郭彤楼, 张汉荣. 四川盆地焦石坝页岩气田形成与富集高产模式[J]. 石油勘探与开发, 2014, 41(1): 28-36. https://www.cnki.com.cn/Article/CJFDTOTAL-SKYK201401003.htmGUO Tonglou, ZHANG Hanrong. Formation and enrichment mode of Jiaoshiba shale gas field, Sichuan Basin[J]. Petroleum Exploration and Development, 2014, 41(1): 28-36. https://www.cnki.com.cn/Article/CJFDTOTAL-SKYK201401003.htm