Geology Sweet Spot of Shale Gas Optimization Evaluation Based on Analytic Hierarchy Process

doi:10.11885/j.issn.1674-5086.2024.12.27.03

Abstract

Abstract: Shale gas geological sweet spot evaluation is a comprehensive problem involving multiple parameters, and its prediction methods are diverse and the definition of the threshold of each index parameter is difficult to be unified. Based on clarifying the petrophysical properties of shale formations and integrating core experimental analysis results, this study systematically conducted optimization of geological sweet spot parameters for shale gas reservoirs. The prediction models of TOC content, porosity, gas saturation and gas content were established. And the weight coefficients of each key reservoir parameter were determined by analytic hierarchy process. Finally, the quantitative evaluation model of geological sweet spot index was established. The application results in Luzhou deep shale reservoir and Changning middle deep shale reservoir show that the correlation coefficients between the predicted values and the measured values of the four parameters are all above 0.85, which effectively improves the prediction accuracy of key parameters of shale gas reservoir. Both regions show higher geological sweet spot parameters at the bottom of Longmaxi Formation, which is highly consistent with the actual production situation. This study not only solves the contradiction of multi-parameter difficult to quantify in the evaluation process of geological sweet spot, provides a new comprehensive quantitative evaluation model of shale gas geological sweet spot, but also deepens the understanding and understanding of the complex mechanism of geological sweet spot, and provides scientific basis and theoretical support for the formulation of future shale gas exploration and development strategies.

Key words: shale gas, geological sweet spot, analytic hierarchy process, southern Sichuan, Longmaxi Formation

CLC Number:

TE121

LENG Yijiang, TANG Hongming, WANG Ying, SHI Xuewen, LIU Jia. Geology Sweet Spot of Shale Gas Optimization Evaluation Based on Analytic Hierarchy Process[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2025, 47(5): 62-74.

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References

[1] PRISE G J. Successful completion operations on ravenspurn north development[C]. SPE 26744-MS, 1993. doi:10.2118/26744-MS
[2] TER H J, ZIJP M, NELSKAMP S, et al. Sweet spot identification in underexplored shales using multidisciplinary reservoir characterization and key performance indicators:Example of the posidonia shale formation in the netherlands[J]. Journal of Natural Gas Science and Engineering, 2015, 27(2):558-577. doi:10.1016/j.jngse.2015.08.032
[3] CUDJOE S, VINASSA M, GOMES J H B, et al. A comprehensive approach to sweet-spot mapping for hydraulic fracturing and CO2 huff-n-puff injection in Chattanooga Shale Formation[J]. Journal of Natural Gas Science and Engineering, 2016, 33:1201-1218. doi:10.1016/j.jngse.2016.03.042
[4] TAHMASEBI P, JAVADPOUR F, SAHIMI M. Data mining and machine learning for identifying sweet spots in shale reservoirs[J]. Expert Systems with Applications, 2017, 88:435-447. doi:10.1016/j.eswa.2017.07.015
[5] 邹才能,杨智,张国生,等. 常规非常规油气"有序聚集"理论认识及实践意义[J]. 石油勘探与开发, 2014, 41(1):14-25. doi:10.11698/PED.2014.01.02 ZOU Caineng, YANG Zhi, ZHANG Guosheng, et al. Conventional and unconventional petroleum "orderly accumulation":Concept and practical significance[J]. Petroleum Exploration and Development, 2014, 41(1):14-25. doi:10.11698/PED.2014.01.02
[6] 刘国强,赵先然,袁超,等. 陆相页岩油宏观结构测井评价及其甜点优选[J]. 中国石油勘探, 2023, 28(1):120-134. doi:10.3969/j.issn.1672-7703.2023.01.011 LIU Guoqiang, ZHAO Xianran, YUAN Chao, et al. Logging evaluation of macro-structure of continental shale oil reservoir and sweet spots selection[J]. China Petroleum Exploration, 2023, 28(1):120-134. doi:10.3969/j.issn.1672-7703.2023.01.011
[7] 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. doi:10.11698/PED.2015.05.02 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. doi:10.11698/PED.2015.05.02
[8] 方辉煌,汪吉林,宫云鹏,等. 基于灰色模糊理论的页岩气储层评价——以重庆南川地区龙马溪组页岩为例[J]. 岩性油气藏, 2016, 28(5):76-81. doi:10.3969/j.issn.1673-8926.2016.05.009 FANG Huihuang, WANG Jilin, GONG Yunpeng, et al. Evaluation of shale gas reservoirs based on gray fuzzy theory:A case study from Longmaxi Formation in Nanchuan Area, Chongqing[J]. Lithologic Reservoirs, 2016, 28(5):76-81. doi:10.3969/j.issn.1673-8926.2016.05.009
[9] 夏宏泉,王瀚玮,赵昊. 测井多参数两向量法识别页岩气地质"甜点"[J]. 天然气工业, 2017, 37(11):36-42. doi:10.3787/j.issn.1000-0976.2017.11.005 XIA Hongquan, WANG Hanwei, ZHAO Hao. Logging multi-parameter two-vector method used for identifying geological "sweet spots" of shale gas[J]. Natural Gas Industry, 2017, 37(11):36-42. doi:10.3787/j.issn.1000- 0976.2017.11.005
[10] NIU Daming, LI Yilin, ZHANG Yunfeng, et al. Multiscale classification and evaluation of shale reservoirs and "sweet spot" prediction of the second and third members of the Qingshankou Formation in the Songliao Basin based on machine learning[J]. Journal of Petroleum Science and Engineering, 2022, 216:110678. doi:10.1016/j.petrol.2022.110678
[11] 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. doi:10.11698/PED.2016.02.02 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. doi:10.11698/PED.2016.02.02
[12] 唐洪明,唐园,郑马嘉,等. 页岩纹层与破裂方式实验研究[J]. 西南石油大学学报(自然科学版), 2022, 44(4):51-61. doi:10.11885/j.issn.1674-5086.2020.10.08.02 TANG Hongming, TANG Yuan, ZHENG Majia, et al. An experimental study on lamina and fracture mode of shale[J]. Journal of Southwest Petroleum University (Science & Technology Edition), 2022, 44(4):51-61. doi:10.11885/j.issn.1674-5086.2020.10.08.02
[13] 陈洋,唐洪明,廖纪佳,等. 基于埋深变化的川南龙马溪组页岩孔隙特征及控制因素分析[J]. 中国地质, 2022, 49(2):472-484. doi:10.12029/gc20220209 CHEN Yang, TANG Hongming, LIAO Jijia, et al. Analysis of shale pore characteristics and controlling factors based on variation of buried depth in the Longmaxi Formation, southern Sichuan Basin[J]. Geology in China, 2022, 49(2):472-484. doi:10.12029/gc20220209
[14] 王元,杨恒林,黄浩勇,等. 四川盆地泸州区块深层页岩气地质力学研究及应用[J]. 中国石油勘探, 2023, 28(5):68-83. doi:10.3969/j.issn.1672-7703.2023.05.006 WANG Yuan, YANG Henglin, HUANG Haoyong, et al. Geomechanical study of deep shale gas and application in Luzhou Block, Sichuan Basin[J]. China Petroleum Exploration, 2023, 28(5):68-83. doi:10.3969/j.issn.1672- 7703.2023.05.006
[15] 王高翔,赵圣贤,陈雷,等. 层序格架下页岩岩相非均质性及其储层品质差异性——以四川盆地川南长宁地区五峰组龙一段页岩为例[J]. 天然气地球科学, 2022, 33(10):1675-1690. doi:10.11764/j.issn.1672-1926.2022.05.006 WANG Gaoxiang, ZHAO Shengxian, CHEN Lei, et al. Shale lithofacies heterogeneity and the different of reservoir quality within sequence stratigraphic framework:Case study of Wufeng Formation-Lower Longmaxi Formation in Changning Area, south Sichuan Basin[J]. Natural Gas Geoscience, 2022, 33(10):1675-1690. doi:10.11764/j.issn.1672-1926.2022.05.006
[16] BERNARD S, HORSFIELD B, SCHULZ H M, et al. Geochemical evolution of organic-rich shales with increasing maturity:A STXM and TEM study of the Posidonia Shale (Lower Toarcian, northern Germany)[J]. Marine and Petroleum Geology, 2012, 31(1):70-89. doi:10.1016/j.marpetgeo.2011.05.010
[17] 谢军,赵圣贤,石学文,等. 四川盆地页岩气水平井高产的地质主控因素[J]. 天然气工业, 2017, 37(7):1-12. doi:10.3787/j.issn.1000-0976.2017.07.001 XIE Jun, ZHAO Shengxian, SHI Xuewen, et al. Main geological factors controlling high production of horizontal shale gas wells in the Sichuan Basin[J]. Natural Gas Industry, 2017, 37(7):1-12. doi:10.3787/j.issn.1000-0976.2017.07.001
[18] 唐洪明,刘贤,陈洋,等. 不同构造单元页岩孔隙结构差异及其油气地质意义——以四川盆地泸州地区深层页岩为例[J]. 天然气工业, 2024, 44(5):16-28. doi:10.3787/j.issn.1000-0976.2024.05.002 TANG Hongming, LIU Xian, CHEN Yang, et al. Pore structure difference of shale in different structural units and its petroleum geological implications:A case study on deep shale in the Luzhou Area, southern Sichuan Basin[J]. Natural Gas Industry, 2024, 44(5):16-28. doi:10.3787/j.issn.1000-0976.2024.05.002
[19] 冷钇江,唐洪明,冯于恬,等. 页岩水化作用及其对水相返排的影响——以四川盆地威远地区龙马溪组为例[J]. 中南大学学报(自然科学版), 2022, 53(9):3681-3693. doi:10.11817/j.issn.1672-7207.2022.09.030 LENG Yijiang, TANG Hongming, FENG Yutian, et al. Shale hydration and its influencing effect on water phase flowback:A case of Longmaxi Formation in Weiyuan Area, Sichuan Basin[J]. Journal of Central South University (Science and Technology), 2022, 53(9):3681-3693. doi:10.11817/j.issn.1672-7207.2022.09.030
[20] 张琳琳,王孔杰,赖枫鹏,等. 鄂尔多斯盆地西缘奥陶系乌拉力克组海相页岩气储层甜点分类评价[J]. 石油实验地质, 2024, 46(1):191-201. doi:10.11781/sysydz202401191 ZHANG Linlin, WANG Kongjie, LAI Fengpeng, et al. Cla ssification and evaluation of sweet spots of marine shale gas reservoir in Ordovician Wulalike Formation on the western margin of Ordos Basin[J]. Petroleum Geology & Experiment, 2024, 46(1):191-201. doi:10.11781/sysydz202401191
[21] 王长江,颜世翠,张娟,等. 基于模糊融合预测的页岩地质甜点识别技术——以胜利油区渤南洼陷为例[J]. 油气地质与采收率, 2024, 31(4):73-83. doi:10.13673/j.pgre.202405006 WANG Changjiang, YAN Shicui, ZHANG Juan, et al. Geological sweet spot identification technology of shale based on fuzzy fusionprediction:A case study of Bonan Subsag in Shengli Oilfield[J]. Petroleum Geology and Recovery Efficiency, 2024, 31(4):73-83. doi:10.13673/j.pgre.202405006
[22] 赵文智,卞从胜,蒲秀刚,等. 中国典型咸化湖盆页岩油富集与流动特征及在"甜点"评价中的意义[J]. 中国石油大学学报(自然科学版), 2023, 47(5):25-37. doi:10.3969/j.issn.1673-5005.2023.05.003 ZHAO Wenzhi, BIAN Congsheng, PU Xiugang, et al. Enrichment and flow characteristics of shale oil in typical salinized lake basins in China and its significance for "sweet spot" evaluation[J]. Journal of China University of Petroleum (Edition of Natural Science), 2023, 47(5):25-37. doi:10.3969/j.issn.1673-5005.2023.05.003
[23] 王成旺,刘新伟,李曙光,等. 大宁吉县区块深部煤层气富集主控因素分析及地质工程甜点区评价[J]. 西安石油大学学报(自然科学版), 2024, 39(4):1-9. doi:10.3969/j.issn.1673-064X.2024.04.001 WANG Chengwang, LIU Xinwei, LI Shuguang, et al. Analysis of main controlling factors of deep coalbed methane enrichment and evaluation of geological and engineering sweet areas in Daning-Jixian Block[J]. Journal of Xi'an Shiyou University (Natural Science Edition), 2024, 39(4):1-9. doi:10.3969/j.issn.1673-064X.2024.04.001
[24] 孟靖丰. 页岩气储层测井评价研究——以蜀南地区志留系龙马溪组为例[D]. 北京:中国石油大学(北京), 2018. MENG Jingfeng. Study on logging evaluation of shale gas reservoir:Take Silurian Longmaxi Formation in the southern region of Sichuan as an example[D]. Beijing:China University of Petroleum (Beijing), 2018.
[25] 黄莉莎,闫建平,胡兴中,等. 川南五峰组龙马溪组低阻页岩特征分析及启示[J]. 西南石油大学学报(自然科学版), 2024, 46(2):26-40. doi:10.11885/j.issn.1674-5086.2022.03.07.03 Huang Lisha, YAN Jianping, HU Xingzhong, et al. Characteristics analysis and its enlightenment of shale of low resistivity in Wufeng-Longmaxi Formation in southern Sichuan Basin[J]. Journal of Southwest Petroleum University (Science & Technology Edition), 2024, 46(2):26-40. doi:10.11885/j.issn.1674-5086.2022.03.07.03
[26] 王玉满,董大忠,程相志,等. 海相页岩有机质碳化的电性证据及其地质意义——以四川盆地南部地区下寒武统筇竹寺组页岩为例[J]. 天然气工业, 2014, 34(8):1-7. doi:10.3787/j.issn.1000-0976.2014.08.001 WANG Yuman, DONG Dazhong, CHENG Xiangzhi, et al. Electric property evidences of the carbonification of organic matters in marine shales and its geologic significance:A case of the Lower Cambrian Qiongzhusi Shale in southern Sichuan Basin[J]. Natural Gas Industry, 2014, 34(8):1-7. doi:10.3787/j.issn.1000-0976.2014.08.001
[27] 张成林,张鉴,李武广,等. 渝西大足区块五峰组龙马溪组深层页岩储层特征与勘探前景[J]. 天然气地球科学, 2019, 30(12):1794-1804. doi:10.11764/j.issn.1672-1926.2019.08.007 ZHANG Chenglin, ZHANG Jian, LI Wuguang, et al. Deep shale reservoir characteristics and exploration potential of Wufeng-Longmaxi Formations in Dazu Area, western Chongqing[J]. Natural Gas Geoscience, 2019, 30(12):1794-1804. doi:10.11764/j.issn.1672-1926.2019.08.007
[28] 李亚男. 页岩气储层测井评价及其应用[D]. 北京:中国矿业大学(北京), 2014. LI Ya'nan. Research on logging evaluation method of shale gas reservoir and its application[D]. Beijing:China University of Mining and Technology (Beijing), 2014.
[29] 王羿文. 泸州区块深层五峰龙马溪组页岩储层特征[D]. 徐州:中国矿业大学, 2022. WANG Yiwen. Deep shale reservoir characteristics of Wufeng-Longmaxi Formation in Luzhou Block[D]. Xuzhou:China University of Mining and Technology, 2022.
[30] 毛樊晶. 沁水盆地ZT区块山西组页岩气储层测井解释方法研究[D]. 西安:西安石油大学, 2023. MAO Fanjing. Study on logging interpretation method of shale gas reservoir in Shanxi Formation of ZT Block in Qinshui Basin[D]. Xi'an:Xi'an Shiyou University, 2023.
[31] 颜磊. 川南海相页岩气测井综合评价技术及应用研究[D]. 成都:成都理工大学, 2019. YAN Lei. Comprehensive logging evaluation technology and application research for marine shale gas in southern Sichuan[D]. Chengdu:Chengdu University of Technology, 2019.
[32] ZHANG Baoying, XU Jingling. Methods for the evaluation of water saturation considering TOC in shale reservoirs[J]. Journal of Natural Gas Science and Engineering, 2016, 36:800-810. doi:10.1016/j.jngse.2016.11.023
[33] 王安龙,孙小琴,李小龙,等. 南川区块五峰龙马溪组页岩气储层测井评价方法[J]. 科学技术与工程, 2020, 20(34):14046-14052. doi:10.3969/j.issn.1671- 1815.2020.34.014 WANG Anlong, SUN Xiaoqin, LI Xiaolong, et al. Logging evaluation method for shale gas reservoirs of Wufeng-Longmaxi Formation in Nanchuan Block[J]. Science Technology and Engineering, 2020, 20(34):14046-14052. doi:10.3969/j.issn.1671-1815.2020.34.014
[34] 石文睿,张占松,黄梓桑,等. 低阻页岩气储层含气饱和度计算方法——以涪陵地区焦石坝区块为例[J]. 断块油气田, 2022, 29(2):183-188. doi:10.60- 56/dkyqt202202007 SHI Wenrui, ZHANG Zhansong, HUANG Zisang, et al. Study on calculation method of gas saturation in lowresistivity shale gas reservoir:A case study of Jiaoshiba Block in Fuling Area[J]. Fault-Block Oil & Gas Field, 2022, 29(2):183-188. doi:10.6056/dkyqt202202007
[35] 齐宝权,杨小兵,张树东,等. 应用测井资料评价四川盆地南部页岩气储层[J]. 天然气工业, 2011, 31(4):44-47. doi:10.3787/j.issn.1000-0976.2011.04.010 QI Baoquan, YANG Xiaobing, ZHANG Shudong, et al. Logging evaluation of shale gas reservoirs in the southern Sichuan Basin[J]. Natural Gas Industry, 2011, 31(4):44-47. doi:10.3787/j.issn.1000-0976.2011.04.010
[36] 潘仁芳,陈亮,刘朋丞. 页岩气资源量分类评价方法探讨[J]. 石油天然气学报, 2011, 33(5):172-174. PAN Renfang, CHEN Liang, LIU Pengcheng. Discussion on classification and evaluation methods of shale gas resources[J]. Journal of Oil and Gas Technology, 2011, 33(5):172-174.
[37] LEWIS R, INGRAHAM D, SAWYER W. New evaluation techniques for gas shale reservoirs[C]. Oklahoma:Schlumberger Reservoir Symposium, 2004.
[38] 温康,闫建平,钟光海,等. 川南长宁地区五峰组龙马溪组页岩气评价新方法[J]. 岩性油气藏, 2022, 34(1):95-105. doi:10.12108/yxyqc.20220110 WEN Kang, YAN Jianping, ZHONG Guanghai, et al. New method of shale gas evaluation of Wufeng-Longmaxi Formation in Changning Area, southern Sichuan Basin[J]. Lithologic Reservoirs, 2022, 34(1):95-105. doi:10.12108/yxyqc.20220110
[39] SAATY T L. A scaling method for priorities in hierarchical structures[J]. Journal of Mathematical Psychology, 1977, 15(3):234-281. doi:10.1016/0022-2496(77)90033-5
[40] 王红岩,刘钰洋,张晓伟,等. 基于层次分析法的页岩气储层地质工程一体化甜点评价:——以昭通页岩气示范区太阳页岩气田海坝地区X井区为例[J]. 地球科学, 2023, 48(1):92-109. WANG Hongyan, LIU Yuyang, ZHANG Xiaowei, et al. Geology-engineering intergration shale gas sweet spot evaluation based on analytic hierarchy process:Application to Zhaotong Shale Gas demonstration district, Taiyang Shale Gas Field, Haiba Area, X Well Region[J]. Earth Science, 2023, 48(1):92-109.