苏北盆地溱潼凹陷阜宁组二段页岩油测井评价研究

doi:10.13809/j.cnki.cn32-1825/te.2024.03.006

Abstract

Abstract:

The efficient evaluation of the oil properties, capabilities, and compressibility of reservoirs using conventional logging data is essential for the large-scale development of shale oil in northern Jiangsu. Utilizing conventional logging data alongside core experiment data, this study develops a robust model to calculate several critical reservoir characteristics. These include total organic carbon content, effective porosity, bedding fracture density, and mineral composition content. The model employs a variety of mathematical methodologies such as physical concept analysis, optimization, fitting, and both forward and backward numerical simulations. Furthermore, this research classifies the sedimentary structure and lithofacies of the reservoir. Results indicate that the shale within the second member of Funing Formation in Qintong Sag predominantly consists of organic-rich layered/laminated mudstone and block mudstone. Among these, the layered or laminated mudstone represents the favorable lithofacies, intersecting vertically with non-favorable rock types. The “sweet spot” layers identified by the model correlate well with the layers analyzed using specialized logging techniques, and field applications have yielded positive outcomes. This technology has been successfully applied in identifying geological and engineering “sweet spots” within the shale oil reservoirs of the Subei Basin, offering significant guidance for the strategic development of shale oil in the region.

Key words: Subei Basin, shale oil, conventional logging, lithofacies, geological & engineering “sweet spots”

CLC Number:

TE122

WANG Xin,HAN Jianqiang,ZAN Ling, et al. Logging evaluation of shale oil in the second member of Funing Formation of Qintong Sag, Subei Basin[J]. Petroleum Reservoir Evaluation and Development, 2024, 14(3): 364-372.

Figures/Tables 10

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References 28

[1]	云露, 何希鹏, 花彩霞, 等. 苏北盆地溱潼凹陷古近系陆相页岩油成藏地质特征及资源潜力[J]. 石油学报, 2023, 44(1): 176-187. doi: 10.7623/syxb202301011
	YUN Lu, HE Xipeng, HUA Caixia, et al. Accumulation characteristics and resource potential of Paleogene continental shale oil in Qintong sag of Subei Basin[J]. Acta Petrolei Sinica, 2023, 44(1): 176-187.
[2]	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. doi: 10.11698/PED.20220177
	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.
[3]	石玉江, 张凤生, 李庆峰, 等. 页岩油全生命周期测井技术进展与发展方向[J]. 测井技术, 2022, 46(6): 643-650.
	SHI Yujiang, ZHANG Fengsheng, LI Qingfeng, et al. Progress and development direction of logging technology for shale oil life cycle[J]. Well Logging Technology, 2022, 46(6): 643-650.
[4]	卢双舫, 薛海涛, 王民, 等. 页岩油评价中的若干关键问题及研究趋势[J]. 石油学报, 2016, 37(10): 1309-1322. doi: 10.7623/syxb201610012
	LU Shuangfang, XUE Haitao, WANG Min, et al. Several key issues and research trends in evaluation of shale oil[J]. Acta Petrolei Sinica, 2016, 37(10): 1309-1322. doi: 10.7623/syxb201610012
[5]	陈桂华, 白玉湖, 陈晓智, 等. 页岩油气纵向综合甜点识别新方法及定量化评价[J]. 石油学报, 2016, 37(11): 1337-1342. doi: 10.7623/syxb201611002
	CHEN Guihua, BAI Yuhu, CHEN Xiaozhi, et al. A new identification method for the longitudinal integrated shale oil/gas sweet spot and its quantitative evaluation[J]. Acta Petrolei Sinica, 2016, 37(11): 1337-1342. doi: 10.7623/syxb201611002
[6]	姚东华, 周立宏, 王文革, 等. 页岩油综合甜点测井评价——以沧东凹陷孔店组二段为例[J]. 石油学报, 2022, 43(7): 912-924. doi: 10.7623/syxb202207003
	YAO Donghua, ZHOU Lihong, WANG Wenge, et al. Logging evaluation of composite sweet spots for shale oil: A case study of Member 2 of Kongdian Formation in Cangdong sag[J]. Acta Petrolei Sinica, 2022, 43(7): 912-924. doi: 10.7623/syxb202207003
[7]	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
[8]	匡立春, 侯连华, 杨智, 等. 陆相页岩油储层评价关键参数及方法[J]. 石油学报, 2021, 42(1): 1-14. doi: 10.7623/syxb202101001
	KUANG Lichun, HOU Lianhua, YANG Zhi, et al. Key parameters and methods of lacustrine shale oil reservoir characterization[J]. Acta Petrolei Sinica, 2021, 42(1): 1-14. doi: 10.7623/syxb202101001
[9]	李国欣, 刘国强, 候雨庭, 等. 陆相页岩油有利岩相优选与压裂参数优化方法[J]. 石油学报, 2021, 42(11): 1405-1416. doi: 10.7623/syxb202111001
	LI Guoxin, LIU Guoqiang, HOU Yuting, et al. Optimization method of favorable lithofacies and fracturing parameter for continental shale oil[J]. Acta Petrolei Sinica, 2021, 42(11): 1405-1416. doi: 10.7623/syxb202111001
[10]	李宁, 冯周, 武宏亮, 等. 中国陆相页岩油测井评价技术方法新进展[J]. 石油学报, 2023, 44(1): 28-44. doi: 10.7623/syxb202301003
	LI Ning, FENG Zhou, WU Hongliang, et al. New advances in methods and technologies for well logging evaluation of continental shale oil in China[J]. Acta Petrolei Sinica, 2023, 44(1): 28-44. doi: 10.7623/syxb202301003
[11]	李宁, 闫伟林, 武宏亮, 等. 松辽盆地古龙页岩油测井评价技术现状、问题及对策[J]. 大庆石油地质与开发, 2020, 39(3): 117-128.
	LI Ning, YAN Weilin, WU Hongliang, et al. Current situation, problems and countermeasures of the well-logging evaluation technology for Gulong shale oil[J]. Petroleum Geology & Oilfield Development in Daqing, 2020, 39(3): 117-128.
[12]	樊云峰, 安纪星, 岳爱忠, 等. 基于地层元素测井的页岩油储层评价[J]. 测井技术, 2022, 46(5): 563-571.
	FAN Yunfeng, AN Jixing, YUE Aizhong, et al. Evaluation of shale oil reservoir based on formation element logging[J]. Well Logging Technology, 2022, 46(5): 563-571.
[13]	李红斌, 王贵文, 王松, 等. 基于Kohonen神经网络的页岩油岩相测井识别方法——以吉木萨尔凹陷二叠系芦草沟组为例[J]. 沉积学报, 2022, 40(3): 626-640.
	LI Hongbin, WANG Guiwen, WANG Song, et al. Shale oil lithofacies identification by Kohonen neural network method: The case of the Permian Lucaogou Formation in Jimusaer Sag[J]. Acta Sedimentologica Sinica, 2022, 40(3): 626-640.
[14]	路菁, 李军, 武清钊, 等. 页岩油气储层有机碳含量测井评价方法研究及应用[J]. 科学技术与工程, 2016, 16(6): 143-147.
	LU Jing, LI Jun, WU Qingzhao, et al. A study and an application on logging evaluation method of TOC in shale oil and gas reservoir[J]. Science Technology and Engineering, 2016, 16(6): 143-147.
[15]	李潮流, 闫伟林, 武宏亮, 等. 富黏土页岩储集层含油饱和度计算方法——以松辽盆地古龙凹陷白垩系青山口组一段为例[J]. 石油勘探与开发, 2022, 49(6): 1168-1178. doi: 10.11698/PED.20220303
	LI Chaoliu, YAN Weilin, WU Hongliang, et al. Calculation of oil saturation in clay-rich shale reservoirs: A case study of Qing 1 Member of Cretaceous Qingshankou Formation in Gulong sag, Songliao Basin, NE China[J]. Petroleum Exploration and Development, 2022, 49(6): 1168-1178.
[16]	高辉, 张晓, 何梦卿, 等. 基于测井数据体的页岩油储层可压裂性评价研究[J]. 地球物理学进展, 2018, 33(2): 603-612.
	GAO Hui, ZHANG Xiao, HE Mengqing, et al. Study on evaluation of shale oil reservoir fracability based on well logging data volume[J]. Progress in Geophysics, 2018, 33(2): 603-612.
[17]	唐小梅, 曾联波, 岳锋, 等. 鄂尔多斯盆地三叠系延长组页岩油储层裂缝特征及常规测井识别方法[J]. 石油天然气学报, 2012, 34(6): 95-99.
	TANG Xiaomei, ZENG Lianbo, YUE Feng, et al. Fracture characterization and identification by conventional logs of shale reservoirs in Ordos Basin[J]. Journal of Oil and Gas Technology, 2012, 34(6): 95-99.
[18]	严锡. 泌阳凹陷核三段泥页岩储层含油性评价[J]. 石油地质与工程, 2023, 37(4): 25-28.
	YAN Xi. Oil-bearing evaluation of shale reservoir in He-3 member of Biyang Sag[J]. Petroleum Geology & Engineering, 2023, 37(4): 25-28.
[19]	张晋言, 孙建孟. 利用测井资料评价泥页岩油气“五性”指标[J]. 测井技术, 2012, 36(2): 146-153.
	ZHANG Jinyan, SUN Jianmeng. Log evaluation on shale hydrocarbon reservoir[J]. Well Logging Technology, 2012, 36(2): 146-153.
[20]	郑建东, 王春燕, 章华兵, 等. 松辽盆地古龙页岩油储层七性参数和富集层测井评价方法[J]. 大庆石油地质与开发, 2021, 40(5): 87-97.
	ZHENG Jiandong, WANG Chunyan, ZHANG Huabing, et al. Logging evaluating methods of seven property parameters and enriched layers for Gulong shale oil reservoir in Songliao Basin[J]. Petroleum Geology & Oilfield Development in Daqing, 2021, 40(5): 87-97.
[21]	蒋云箭, 刘惠民, 柴春艳, 等. 济阳坳陷页岩油测井评价[J]. 油气地质与采收率, 2023, 30(1): 21-34.
	JIANG Yunjian, LIU Huimin, CHAI Chunyan, et al. Logging evaluation of shale oil in Jiyang Depression[J]. Petroleum Geology and Recovery Efficiency, 2023, 30(1): 21-34.
[22]	李霞, 周灿灿, 赵杰, 等. 泥页岩油藏测井评价新方法——以松辽盆地古龙凹陷青山口组为例[J]. 中国石油勘探, 2014, 19(3): 57-65.
	LI Xia, ZHOU Cancan, ZHAO Jie, et al. New logging evaluation method for shale reservoirs: Taking Qingshankou Formation in Gulong Sag of Songliao Basin for instance[J]. China Petroleum Exploration, 2014, 19(3): 57-65.
[23]	唐鑫萍, 许泓, 曹宇畅, 等. 三水盆地布二段灰岩夹层型页岩油地质特征[J]. 石油地质与工程, 2022, 36(2): 42-48.
	TANG Xinping, XU Hong, CAO Yuchang, et al. Geological characteristics of limestone interbedded shale oil in Bu 2 member of Sanshui Basin[J]. Petroleum Geology & Engineering, 2022, 36(2): 42-48.
[24]	王世禄. 松辽盆地古龙页岩油水平井压裂施工参数优化[J]. 石油地质与工程, 2023, 37(5): 94-99.
	WANG Shilu. Optimization of fracturing construction parameters for Gulong shale oil with horizontal wells in Songliao Basin[J]. Petroleum Geology & Engineering, 2023, 37(5): 94-99.
[25]	彭紫燕, 谢斐, 王炜肖, 等. 页岩储层压裂裂缝形态描述及流动模拟方法研究现状[J]. 石油地质与工程, 2023, 37(5): 120-126.
	PENG Ziyan, XIE Fei, WANG Weixiao, et al. Research status of fracture morphology description and flow simulation method in shale reservoirs[J]. Petroleum Geology & Engineering, 2023, 37(5): 120-126.
[26]	王俊超, 陶先高, 李佳琦, 等. 吉木萨尔凹陷芦草沟组“上甜点段”页岩裂缝发育主控因素及评价[J]. 中国海上油气, 2022, 34(6): 80-92.
	WANG Junchao, TAO Xiangao, LI Jiaqi, et al. Main controlling factors and evaluation of “upper dessert section” shale fracture development in Lucaogou Formation, Jimsar sag[J]. China Offshore Oil and Gas, 2022, 34(6): 80-92.
[27]	张雪龄, 谷军恒, 叶强, 等. 分子模拟技术在页岩油气吸附和流动特性研究中的应用进展[J]. 中国海上油气, 2023, 35(3): 103-115.
	ZHANG Xueling, GU Junheng, YE Qiang, et al. Application progress of molecular simulation technology in the study of adsorption and flow characteristics of shale oil and gas[J]. China Offshore Oil and Gas, 2023, 35(3): 103-115.
[28]	林腊梅, 程付启, 刘骏锐, 等. 济阳坳陷渤南洼陷沙一段页岩油资源潜力评价[J]. 中国海上油气, 2022, 34(4): 85-96.
	LIN Lamei, CHENG Fuqi, LIU Junrui, et al. Evaluation of shale oil resource potential in the Es1 Member in Bonan sag, Jiyang depression[J]. China Offshore Oil and Gas, 2022, 34(4): 85-96.

矿物组分	含量计算公式
石英	Q_ua=-0.085G_GR-0.197R_RT-0.138A_AC+4.623D_DEN+0.303C_CNL+79.715
长石	F_el=0.151G_GR-0.094R_RT-0.112A_AC-9.377D_DEN-0.198C_CNL+56.555
方解石	C_al=-0.427G_GR-0.177R_RT+0.157A_AC+66.105D_DEN-0.225C_CNL-150.178
白云石	D_ol=0.162G_GR+0.833R_RT-0.045A_AC-4.66D_DEN+0.882C_CNL-6.373
黄铁矿	P_yr=0.009G_GR-0.039R_RT+0.025A_AC-4.677D_DEN-0.126C_CNL+9.621
黏土	C_la=0.191G_GR-0.326R_RT+0.114A_AC-42.77D_DEN-0.636C_CNL+110.66

岩相类型	总有机碳含量/%	沉积构造类型	岩性类型
富有机质层状或纹层状泥岩	≥0.7	层状或纹层状	泥岩
富有机质层状或纹层状含灰质泥岩	≥0.7	层状或纹层状	含灰质泥岩
富有机质块状泥岩	≥0.7	块状	泥岩
富有机质块状含灰质泥岩	≥0.7	块状	含灰质泥岩
层状或纹层状泥岩	<0.7	层状或纹层状	泥岩
层状或纹层状含灰质泥岩	<0.7	层状或纹层状	含灰质泥岩

储层类型	电性			含油性		储集性	可压性		岩相
储层类型	自然伽马/ API	深感应电阻率/ （Ω·m）	测井声波时差/ （μs/m）	总有机碳含量/ %	原始含油饱和度/ %	孔隙度/ %	层理缝密度/ （条/m）	脆性/ %	岩相
Ⅰ类层	≥95	≥20	≥215	≥0.7	≥45	≥3	≥500	≥60	富有机质层状或纹层状（含灰质）泥岩
Ⅱ类层	≥75	≥15	≥205	≥0.7	≥20	≥2	≥0	≥50	富有机质块状（含灰质）泥岩
Ⅲ类层	≥45	≥5	≥195	≥0	≥0	≥1	≥500	≥45	层状或纹层状（含灰质）泥岩

Logging evaluation of shale oil in the second member of Funing Formation of Qintong Sag, Subei Basin

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