基于岩石物理分析的页岩气叠前预测方法在川南威远地区的应用

doi:10.7623/syxb202010005

石油学报 ›› 2020, Vol. 41 ›› Issue (10): 1209-1218.DOI: 10.7623/syxb202010005

基于岩石物理分析的页岩气叠前预测方法在川南威远地区的应用

何昌龙¹, 吕龑¹, 黄天俊¹, 李益², 郗诚¹, 钟光海³, 吴仕虎¹, 杨广广¹, 干大勇¹

1. 中国石油西南油气田公司勘探开发研究院四川成都 610093;
2. 中石油昆仑燃气有限公司四川分公司四川成都 610100;
3. 中国石油西南油气田公司页岩气研究院四川成都 610051

收稿日期:2019-07-08 修回日期:2020-06-13 出版日期:2020-10-25 发布日期:2020-11-05
通讯作者: 何昌龙,男,1985年10月生,2009年获中国石油大学(华东)学士学位,2012年获中国石油大学(华东)硕士学位,现为中国石油西南油气田公司勘探开发研究院工程师,主要从事地震资料解释及储层预测工作。
作者简介:何昌龙,男,1985年10月生,2009年获中国石油大学(华东)学士学位,2012年获中国石油大学(华东)硕士学位,现为中国石油西南油气田公司勘探开发研究院工程师,主要从事地震资料解释及储层预测工作。Email:hechangl@petrochina.com.cn
基金资助:
国家科技重大专项"长宁—威远页岩气开发示范工程——页岩气地质评价及开发优化技术研究与应用"（2016ZX05062-002）和中国石油天然气股份有限公司科技重大专项"西南油气田天然气上产300亿立方米关键技术研究与应用"（2016E-0611）资助。

Application of pre-stack prediction method of shale gas based on petrophysical analysis in Weiyuan area of the southern Sichuan Basin

He Changlong¹, Lü Yan¹, Huang Tianjun¹, Li Yi², Xi Cheng¹, Zhong Guanghai³, Wu Shihu¹, Yang Guangguang¹, Gan Dayong¹

1. Exploration and Development Research Institute, PetroChina Southwest Oil&Gasfield Company, Sichuan Chengdu 610093, China;
2. Sichuan Branch, PetroChina Kunlun Gas Co., Ltd., Sichuan Chengdu 610100, China;
3. Research Institute of Shale Gas, PetroChina Southwest Oil&Gasfield Company, Sichuan Chengdu 610051, China

Received:2019-07-08 Revised:2020-06-13 Online:2020-10-25 Published:2020-11-05

摘要/Abstract

摘要：

在页岩气勘探开发中，地球物理技术发挥着不可替代的重要作用。为了探索地震参数与页岩气储层评价参数之间的关系，对四川盆地长宁—威远地区五峰组—龙马溪组岩石物理实验的分析结果表明，岩心总有机碳（TOC）含量和岩心总含气量与纵横波速度比的相关性相对最好。当纵横波速度比逐渐增大时，岩心TOC含量和岩心总含气量整体呈逐渐减小的趋势，这一结果可以指导页岩气储层TOC含量和总含气量的预测。结合测井评价对多种岩石物理参数开展页岩气储层的敏感性分析认为，纵横波速度比是识别页岩气储层最有效的参数。基于岩石物理分析结果建立页岩气储层TOC含量、总含气量与纵横波速度比之间的对应关系，并利用叠前反演技术和岩石力学脆性评价方法对四川盆地南部威远地区W4井区五峰组—龙马溪组页岩气储层厚度、TOC含量、总含气量和脆性指数等评价参数进行定量预测，根据预测结果对研究区页岩气储层开展综合评价，可为确定页岩气核心建产区及其开发方案提供有力技术支撑。

关键词: 页岩气, 评价参数, 岩石物理实验, 总含气量, 纵横波速度比, 叠前反演, 四川盆地

Abstract:

In shale gas exploration and development, geophysical technology is of indispensable significance. To explore the relationship between the seismic parameters and the evaluation parameters of shale gas reservoirs, the analysis results of petrophysical experiments conducted on Wufeng Formation-Longmaxi Formation in the Changning-Weiyuan area of Sichuan Basin show that the correlations between the total organic carbon (TOC)contents of cores, the total gas contents of core and the P- to S- wave velocity ratios are relatively best. When the P- to S-wave velocity ratio gradually increases, the TOC contents and the total gas contents of cores gradually decrease. This result can guide the prediction of TOC contents and total gas contents of shale gas reservoirs. The sensitivity analysis of shale gas reservoirs on a variety of petrophysical parameters combined with logging evaluation suggests that the P- to S-wave velocity ratio is the most effective parameter for identifying shale gas reservoirs. Based on the petrophysical analyses, this paper establishes the corresponding relationship between the TOC contents, the total gas contents and the P- to S-wave velocity ratios of shale gas reservoirs, and by using the pre-stack inversion technique and the evaluation method of rock brittleness, quantitatively predicts the evaluation parameters such as shale gas reservoir thickness, TOC content, total gas content, and brittleness index of the Wufeng Formation-Longmaxi Formation of Well W4 in Weiyuan area in the southern Sichuan Basin. According to the prediction results, a comprehensive evaluation of shale gas reservoirs in the study area is performed, which can provide powerful technical support for determining the core production area of shale gas and its development program.

Key words: shale gas, evaluation parameter, petrophysical experiment, total gas content, P- to S-wave velocity ratio, pre-stack inversion, Sichuan Basin

中图分类号:

TE122.2

何昌龙, 吕龑, 黄天俊, 李益, 郗诚, 钟光海, 吴仕虎, 杨广广, 干大勇. 基于岩石物理分析的页岩气叠前预测方法在川南威远地区的应用[J]. 石油学报, 2020, 41(10): 1209-1218.

He Changlong, Lü Yan, Huang Tianjun, Li Yi, Xi Cheng, Zhong Guanghai, Wu Shihu, Yang Guangguang, Gan Dayong. Application of pre-stack prediction method of shale gas based on petrophysical analysis in Weiyuan area of the southern Sichuan Basin[J]. Acta Petrolei Sinica, 2020, 41(10): 1209-1218.

参考文献

[1] 陈更生,董大忠,王世谦,等.页岩气藏形成机理与富集规律初探[J].天然气工业,2009,29(5):17-21.
CHEN Gengsheng,DONG Dazhong,WANG Shiqian,et al.A preliminary study on accumulation mechanism and enrichment pattern of shale gas[J].Natural Gas Industry,2009,29(5):17-21.
[2] 王世谦,王书彦,满玲,等.页岩气选区评价方法与关键参数[J].成都理工大学学报:自然科学版,2013,40(6):609-620.
WANG Shiqian,WANG Shuyan,MAN Lin,et al.Appraisal method and key parameters for screening shale gas play[J].Journal of Chengdu University of Technology:Science & Technology Edition,2013,40(6):609-620.
[3] 刘伟,贺振华,李可恩,等.地球物理技术在页岩气勘探开发中的应用和前景[J].煤田地质与勘探,2013,41(6):68-73.
LIU Wei,HE Zhenhua,LI Keen,et al.Application and prospective of geophysics in shale gas development[J].Coal Geology & Exploration,2013,41(6):68-73.
[4] 王志刚.涪陵大型海相页岩气田成藏条件及高效勘探开发关键技术[J].石油学报,2019,40(3):370-382.
WANG Zhigang.Reservoir formation conditions and key efficient exploration & development technologies for marine shale gas fields in Fuling area,South China[J].Acta Petrolei Sinica,2019,40(3):370-382.
[5] 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.
[6] 王鹏万,邹辰,李娴静,等.昭通示范区页岩气富集高产的地质主控因素[J].石油学报,2018,39(7):744-753.
WANG Pengwan,ZOU Chen,LI Xianjing,et al.Main geological controlling factors of shale gas enrichment and high yield in Zhaotong demonstration area[J].Acta Petrolei Sinica,2018,39(7):744-753.
[7] 郭旭升,尹正武,李金磊.海相页岩含气量地震定量预测技术及其应用——以四川盆地焦石坝地区为例[J].石油地球物理勘探,2015,50(1):144-149.
GUO Xusheng,YIN Zhengwu,LI Jinlei.Quantitative seismic prediction of marine shale gas content:a case study in Jiaoshiba area,Sichuan Basin[J].Oil Geophysical Prospecting,2015,50(1):144-149.
[8] 陈超,屈大鹏,王明飞,等.川东南焦石坝地区海相泥页岩含气量预测方法探讨[J].石油物探,2016,55(4):597-605.
CHEN Chao,QU Dapeng,WANG Mingfei,et al.Prediction method of gas content in marine mud shale at JSB area in southeast Sichuan Basin[J].Geophysical Prospecting for Petroleum,2016,55(4):597-605.
[9] 陈胜,赵文智,欧阳永林,等.利用地球物理综合预测方法识别页岩气储层甜点——以四川盆地长宁区块下志留统龙马溪组为例[J].天然气工业,2017,37(5):20-30.
CHEN Sheng,ZHAO Wenzhi,OUYANG Yonglin,et al.Comprehensive prediction of shale gas sweet spots based on geophysical properties:a case study of the Lower Silurian Longmaxi Fm in Changning block,Sichuan Basin[J].Natural Gas Industry,2017,37(5):20-30.
[10] 曾庆才,陈胜,贺佩,等.四川盆地威远龙马溪组页岩气甜点区地震定量预测[J].石油勘探与开发,2018,45(3):406-414.
ZENG Qingcai,CHEN Sheng,HE Pei,et al.Quantitative seismic prediction of shale gas sweet spots in Lower Silurian Longmaxi Formation,Weiyuan area,Sichuan Basin,SW China[J].Petroleum Exploration and Development,2018,45(3):406-414.
[11] 李武广,杨胜来,殷丹丹,等.页岩气开发技术与策略综述[J].天然气与石油,2011,29(1):34-37.
LI Wuguang,YANG Shenglai,YIN Dandan,et al.Development technology and strategy of shale gas[J].Natural Gas and Oil,2011,29(1):34-37.
[12] 夏一军,胡向阳,魏水健.页岩气勘探开发中地球物理技术的应用[J].地球物理学进展,2015,30(4):1798-1803.
XIA Yijun,HU Xiangyang,WEI Shuijian.Applications of geophysics in shale gas exploration and exploitation[J].Progress in Geophysics,2015,30(4):1798-1803.
[13] HARTMAN R C,LASSWELL P,BHATTA N.Recent advances in the analytical methods used for shale gas reservoir gas-in-place assessment[C].//AAPG Annual Convention & Exhibition.San Antonio,Texas:AAPG,2008:20-23.
[14] 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.
[15] 马波,黄天俊,邹定永,等.海相页岩含气量地震定量预测方法研究——以川南长宁地区为例[J].天然气勘探与开发,2018,41(1):23-29.
MA Bo,HUANG Tianjun,ZOU Dingyong,et al.A seismic-based quantitative method to predict gas content of marine shales:examples from Changning area,southern Sichuan Basin[J].Natural Gas Exploration and Development,2018,41(1):23-29.
[16] 杨小兵,杨争发,谢冰,等.页岩气储层测井解释评价技术[J].天然气工业,2012,32(9):33-36.
YANG Xiaobing,YANG Zhengfa,XIE Bing,et al.Log interpretation and evaluation of shale gas reservoirs[J].Natural Gas Industry,2012,32(9):33-36.
[17] ZHU Yaping,LIU Enru,MARTINEZ A,et al.Understanding geophysical responses of shale-gas plays[J].The Leading Edge,2011,30(3):332-338.
[18] 中华人民共和国国土资源部.页岩气资源/储量计算与评价技术规范:DZ/T 0254-2014[S].北京:中国标准出版社,2014.
Ministry of Land and Resources of the People's Republic of China.Regulation of shale gas resources/reserves estimation:DZ/T 0254-2014[S].Beijing:Standards Press of China,2014.
[19] 钟光海,谢冰,周肖,等.四川盆地页岩气储层含气量的测井评价方法[J].天然气工业,2016,36(8):43-51.
ZHONG Guanghai,XIE Bing,ZHOU Xiao,et al.A logging evaluation method for gas content of shale gas reservoirs in the Sichuan Basin[J].Natural Gas Industry,2016,36(8):43-51.
[20] 王振涛,王玉梅,慎国强,等.叠前高精度反演方法在复杂岩性储层预测中的应用[J].油气地球物理,2020,18(1):9-15.
WANG Zhentao,WANG Yumei,SHEN Guoqiang,et al.Prestack high precision inversion method and its application in complex lithologic reservoir prediction[J].Petroleum Geophysics,2020,18(1):9-15.
[21] ZHU Yaping,LIU Enru,MARTINEZ A,et al.Understanding geophysical responses of shale-gas plays[J].The Leading Edge,2011,30(3):332-338.
[22] 许杰,何治亮,董宁,等.含气页岩有机碳含量地球物理预测[J].石油地球物理勘探,2013,48(增刊1):64-68.
XU Jie,HE Zhiliang,DONG Ning,et al.Total organic carbon content prediction of gas-bearing shale with geophysical methods[J].Oil Geophysical Prospecting,2013,48(S1):64-68.
[23] 徐立恒,宋宝权,韩嵩,等.变尺度构造模型在地质统计学反演储层预测中的应用[J].石油学报,2019,40(2):190-196.
XU Liheng,SONG Baoquan,HAN Song,et al.Application of variable-scale structure model on geo-statistics inversion reservoir prediction[J].Acta Petrolei Sinica,2019,40(2):190-196.
[24] 秦晓艳,王震亮,于红岩,等.基于岩石物理与矿物组成的页岩脆性评价新方法[J].天然气地球科学,2016,27(10):1924-1932.
QIN Xiaoyan,WANG Zhenliang,YU Hongyan,et al.A new shale brittleness evaluation method based on rock physics and mineral compositions[J].Natural Gas Geoscience,2016,27(10):1924-1932.
[25] 董宁,许杰,孙赞东,等.泥页岩脆性地球物理预测技术[J].石油地球物理勘探,2013,48(增刊1):69-74.
DONG Ning,XU Jie,SUN Zandong,et al.Shale brittleness prediction by geophysical methods[J].Oil Geophysical Prospecting,2013,48(S1):69-74.

基于岩石物理分析的页岩气叠前预测方法在川南威远地区的应用

Application of pre-stack prediction method of shale gas based on petrophysical analysis in Weiyuan area of the southern Sichuan Basin

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