测井评价技术在威荣深层页岩气田中的应用

doi:10.13809/j.cnki.cn32-1825/te.2021.01.006

摘要/Abstract

摘要：

页岩气储层的岩性、物性、含气性等特征与常规油气藏相比有明显的不同,因此,传统的常规测井技术和解释评价方法不能完全适用。针对威荣深层页岩气田储层地质特征和测井技术系列,在分析龙马溪组页岩储层测井响应特征及“六性”关系研究的基础上,运用“岩心刻度测井”技术以及岩石物理最优化体积模型和回归分析等技术方法,开展了页岩储层地质和工程参数的测井计算方法研究,形成了威荣深层页岩气储层关键参数的计算方法并建立页岩储层测井识别标准,在威荣深层页岩储层评价中取得了较好效果。

关键词: 测井解释评价, 页岩储层参数, 测井响应特征, 测井系列, 威荣深层页岩气田

Abstract:

The lithology, physical property, gas bearing property and other characteristics of shale gas reservoir are obviously different from those of conventional oil and gas reservoir, so the traditional conventional logging technology and the method of log interpretation can not be fully applicable. According to the geological characteristics and logging technology series of Weirong Deep Shale Gas Field, and based on the research on the logging response characteristics and “six-property” relation of the Longmaxi Formation shale reservoir, using core calibration log technique and petrophysical optimization volume model and regression analysis to carry out the research on the logging calculation method of shale reservoir geological and engineering parameters, form the calculation method of shale gas reservoir key parameters and establish the logging identification standard of shale reservoirs. The application shows that the proposed logging evaluation method has achieved good results in the evaluation of Weirong Deep Shale Reservoir.

Key words: log interpretation evaluation, shale reservoir parameters, logging response characteristics, logging series, Weirong Deep Shale Gas Field

中图分类号:

TE37

钟文俊,熊亮,黎鸿,董晓霞,周静. 测井评价技术在威荣深层页岩气田中的应用[J]. 油气藏评价与开发, 2021, 11(1): 38-46.

Zhong Wenjun,Xiong Liang,Li Hong,Dong Xiaoxia,Zhou Jing. Application of log evaluation technology in Weirong Deep Shale Gas Field[J]. Reservoir Evaluation and Development, 2021, 11(1): 38-46.

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参考文献 28

[1]	GB/T 31483—2015.页岩气地质评价方法[S]. 北京: 中国标准出版社, 2015.
	GB/T 31483—2015. Geological evaluating methods for shale gas[S]. Beijing: China Standard Press, 2015.
[2]	樊晓伊, 姚光庆, 赵乾辰, 等. 页岩储层有机碳含量测井定量评价方法对比研究——以X地区研究为例[J]. 石油地质与工程, 2017,31(2):48-52.
	Fan Xiaoyi, Yao Guangqing, Zhao Qianchen, et al. Comparative study on logging quantitative evaluation methods of organic carbon content in shale reservoir: A case from area X[J]. Petroleum Geology and Engineering, 2017,31(2):48-52.
[3]	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.
[4]	李军, 武清钊, 路菁, 等. 页岩气储层总孔隙度与有效孔隙度测量及测井评价——以四川盆地龙马溪组页岩气储层为例[J]. 石油与天然气地质, 2017,38(3):602-609.
	Li Jun, Wu Qingzhao, Lu Jing, et al. Measurement and logging evaluation of total porosity and effective porosity of shale gas reservoirs: A case from the Silurian Longmaxi Formation shale in the Sichuan Basin[J]. Oil & Gas Geology, 2017,38(3):602-609.
[5]	王燕, 冯明刚, 严伟, 等. 计算页岩气储层矿物成分含量的新方法:黏土视骨架密度法——以涪陵页岩气田为例[J]. 海相油气地质, 2016,21(4):67-72.
	Wang Yan, Feng Minggang, Yan Wei, et al. A method of calculating percent of mineral composition in gas reservoir by apparent skeleton density of clays: A case of Lower Silurian Longmaxi Gas-bearing Shale Reservoir in Fuling Gas Field, Sichuan Basin[J]. Marine Origin Petroleum Geology, 2016,21(4):67-72.
[6]	Wang H Y, Shi Z S, Zhao Q, et al. Stratigraphic framework of the Wufeng-Longmaxi shale in and around the Sichuan Basin, China: Implications for targeting shale gas[J]. Energy Geoscience, 2020,1(3-4):124-133. doi: 10.1016/j.engeos.2020.05.006
[7]	闫学洪, 曹春锋, 王慧. 岩性扫描测井资料处理解释方法研究与应用[J]. 测井技术, 2018,42(5):503-508.
	Yan Xuehong, Cao Chunfeng, Wang Hui. Research and application on processing and interpretation of litho scannner logging data[J]. Well Logging Technology, 2018,42(5):503-508.
[8]	Nie H K, Li D H, Liu G X, et al. An overview of the geology and production of the Fuling shale gas field, Sichuan Basin, China[J]. Energy Geoscience, 2020,1(3-4):147-164. doi: 10.1016/j.engeos.2020.06.005
[9]	熊亮, 魏力民, 史洪亮. 川南龙马溪组储层分级综合评价技术及应用——以四川盆地威荣深层页岩气田为例[J]. 天然气工业, 2019,39(S1):60-65.
	Xiong Liang, Wei Limin, Shi Hongliang. Reservoir classification comprehensive evaluation technology and application of Longmaxi formation in southern Sichuan: A case from in Weirong Shale Gas Field,Sichuan Basin[J]. Natural Gas Industry, 2019,39(S1):60-65.
[10]	魏斌, 邹长春, 李军, 等. 页岩气测井方法与评价[M]. 上海: 华东理工大学出版社, 2016.
	Wei Bin, Zou Changchun, Li Jun, et al. Shale gas logging method and evaluation[M]. Shanghai: East China University of Science and Technology Press, 2016.
[11]	孙建孟, 刘坤, 王艳, 等. 泥页岩储层裂缝识别与有效性评价研究[J]. 测井技术, 2015,39(5):611-616.
	Sun Jianmeng, Liu Kun, Wang Yan, et al. Fracture identification and effectiveness evaluation research of shale reservoir[J]. Well Logging Technology, 2015,39(5):611-616.
[12]	李启翠, 楼一珊, 史文专, 等. FMI成像测井在四川盆地页岩气地层中的应用[J]. 石油地质与工程, 2013,27(6):58-60.
	Li Qicui, Lou Yishan, Shi Wenzhuan, et al. Application of FMI imaging logging in shale gas formation of Sichuan Basin[J]. Petroleum Geology and Engineering, 2013,27(6):58-60.
[13]	陶小锋, 潘仁芳. 长宁地区龙马溪组页岩气储层测井解释评价[J]. 重庆科技学院学报(自然科学版), 2016,18(2):22-26.
	Tao Xiaofeng, Pan Renfang. Logging interpretation of gas shale reservoir in Longmaxi Formation of Changning Area[J]. Journal of Chongqing University of Science and Technology(Natural Sciences Edition), 2016,18(2):22-26.
[14]	陈四平, 谭判, 石文睿, 等. 涪陵页岩气优质储层测井综合评价方法[J]. 石油钻探技术, 2020,48(4):131-138.
	Chen Siping, Tan Pan, Shi Wenrui, et al. A comprehensive logging evaluation method for high quality shale gas reservoirs in Fuling[J]. Petroleum Drilling Techniques, 2020,48(4):131-138.
[15]	鞠玮, 牛小兵, 冯胜斌, 等. 页岩油储层现今地应力场与裂缝有效性评价——以鄂尔多斯盆地延长组长7油层组为例[J]. 中国矿业大学学报, 2020,49(5):931-940.
	Ju Wei, Niu Xiaobing, Feng Shengbin, et al. The present-day in-situ stress state and fracture effectiveness evaluation in shale oil reservoir:A case study of the Yanchang formation Chang 7 oil-bearing layer in the Ordos Basin[J]. Journal of China University of Mining & Technology, 2020,49(5):931-940.
[16]	钟光海, 陈丽清, 廖茂杰, 等. 页岩气储层品质测井综合评价[J]. 天然气工业, 2020,40(2):54-60.
	Zhong Guanghai, Chen Liqing, Liao Maojie, et al. A comprehensive logging evaluation method of shale gas reservoir quality[J]. Natural Gas Industry, 2020,40(2):54-60.
[17]	冷玥, 赵迪斐, 郭英海, 等. 页岩气储层测井评价技术研究与应用现状[J]. 非常规油气, 2019,6(6):117-123.
	Leng Yue, Zhao Difei, Guo Yinghai, et al. The application status of shale gas reservoir logging evaluation[J]. Unconventional Oil & Gas, 2019,6(6):117-123.
[18]	夏宏泉, 刘畅, 王瀚玮, 等. 页岩含气量测井评价方法研究[J]. 特种油气藏, 2019,26(3):1-6.
	Xia Hongquan, Liu Chang, Wang Hanwei, et al. Logging evaluation of shale gas content[J]. Special Oil and Gas Reservior, 2019,26(3):1-6.
[19]	张梦吟. 页岩气水平井含气性定量评价方法研究——以涪陵页岩气田为例[J]. 海相油气地质, 2019,24(1):78-84.
	Zhang Mengyin. Quantitative evaluation method of gas content for shale gas horizontal well: A case study of Fuling shale gas field, Sichuan Basin[J]. Marine Origin Petroleum Geology, 2019,24(1):78-84.
[20]	廖东良, 路保平, 陈延军. 页岩气地质甜点评价方法——以四川盆地焦石坝页岩气田为例[J]. 石油学报, 2019,40(2):144-151.
	Liao Dongliang, Lu Baoping, Chen Yanjun. An evaluation method of geological sweet spots of shale gas reservoir: A case study of the Jiaoshiba gas field, Sichuan Basin[J]. Acta Petrolei Sinica, 2019,40(2):144-151.
[21]	何羽飞, 万金彬, 于小龙, 等. 基于测井资料的页岩含气量定量评价[J]. 测井技术, 2018,42(6):667-671.
	He Yufei, Wan Jinbin, Yu Xiaolong, et al. Quantitative evaluation of shale gas content based on logging data[J]. Well Logging Technology, 2018,42(6):667-671.
[22]	Sondergeld C H, Newshan K E, Comisky J T, et al. Petrophysical considerations in evaluating and producing shalegas resources[C]// paper SPE-131768-MS presented at the SPE Unconventional Gas conference, 23-25 February, 2010, Pittsburgh, Pennsylvania, USA.
[23]	Li Y Z. Mechanics and fracturing techniques of deep shale from the Sichuan Basin, SW China[J]. Energy Geoscience, 2021,2(1):1-9. doi: 10.1016/j.engeos.2020.06.002
[24]	Mohammad R K, Ahad A M. Total organic carbon content determined from well logs using ΔlogR and neuro fuzzy techniques[J]. Journal of Petroleum Science and Engineering, 2004,45(3):141-148. doi: 10.1016/j.petrol.2004.08.005
[25]	Lucier A M, Hofmann R, Bryndzia L T. Evaluation of variable gas saturation on acoustic log data from the Haynesville shale gas play, NW Louisiana, USA[J]. The Leading Edge, 2011,30(3):300-311. doi: 10.1190/1.3567261
[26]	Kethireddy N, Heidari Z, Chen H Y. Quantifying the effect of kerogen on electrical resistivity measurements on organic-rich source rocks[C]// paper SPWLA-2013-NN presented at the SPWLA 54^th Annual Logging Symposium, 22-26 June, 2013, Orleans, Louisiana.
[27]	Panjaitan M L, Moriyama A, Mcmillan D, et al. Qualifying diversion in multi clusters horizontal well hydraulic fracturing in Haynesville Shale using water hammer analysis, step-down test and microseismic data[C]// paper SPE-189850-MS presented at the SPE Hydraulic Fracturing Technology Conference and Exhibition, 23-25 January, 2018, The Woodlands, Texas, USA.
[28]	Jiang YQ, Fu YH, Xie J, et al. Development trend of marine shale gas reservoir evaluation and a suitable comprehensive evaluation system[J]. Natural Gas Industry B, 2020,7(3):205-214. doi: 10.1016/j.ngib.2019.10.003

储层类别	自然伽马（API）	铀（mg/L）	铀/钾	电阻率（Ω·m）	钍/铀	密度（g/cm³）	中子（%）	备注
Ⅰ	≥130	≥10	≥4	≥20	≤2	≤2.50	≤17	中子有明显挖掘效应,中子、密度有较大的包络面积, 电阻率呈高低阻相间的锯齿状
Ⅱ	110~130	2~10	1~4	13~20	2~4	2.50~2.65	17~20	中子有挖掘效应,中子、密度有一定的包络面积,但小于Ⅰ类页岩储层段,电阻率变化较小
Ⅲ	<110	<2	<1	<13	>4	>2.65	>20	与Ⅰ、Ⅱ类页岩相比,中子、密度包络关系反转,电阻率值较低且相对稳定