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叠前反演方法在致密砂岩气储层预测中的应用

薛明喜 陈开远 田泽华 贾曙光

薛明喜, 陈开远, 田泽华, 等, 2018. 叠前反演方法在致密砂岩气储层预测中的应用. 地质力学学报, 24 (1): 42-50. DOI: 10.12090/j.issn.1006-6616.2018.24.01.005
引用本文: 薛明喜, 陈开远, 田泽华, 等, 2018. 叠前反演方法在致密砂岩气储层预测中的应用. 地质力学学报, 24 (1): 42-50. DOI: 10.12090/j.issn.1006-6616.2018.24.01.005
XUE Mingxi, CHEN Kaiyuan, TIAN Zehua, et al., 2018. APPLICATION OF PRESTACK INVERSION METHOD IN THE PREDICTION OF TIGHT SANDSTONE GAS RESERVOIR. Journal of Geomechanics, 24 (1): 42-50. DOI: 10.12090/j.issn.1006-6616.2018.24.01.005
Citation: XUE Mingxi, CHEN Kaiyuan, TIAN Zehua, et al., 2018. APPLICATION OF PRESTACK INVERSION METHOD IN THE PREDICTION OF TIGHT SANDSTONE GAS RESERVOIR. Journal of Geomechanics, 24 (1): 42-50. DOI: 10.12090/j.issn.1006-6616.2018.24.01.005

叠前反演方法在致密砂岩气储层预测中的应用

doi: 10.12090/j.issn.1006-6616.2018.24.01.005
基金项目: 

国家"十三五"重大专项"薄层地震波场特征与反演研究"专题 2016ZX05002-005-008

详细信息
    作者简介:

    薛明喜(1986-), 男, 博士研究生, 主要从事石油天然气勘探及储层预测工作。E-mail:xuemingxi@163.com

  • 中图分类号: P618.13;P628.2

APPLICATION OF PRESTACK INVERSION METHOD IN THE PREDICTION OF TIGHT SANDSTONE GAS RESERVOIR

  • 摘要: 以鄂尔多斯东缘A区块为例,通过岩石物理正演分析,论证了储层岩石物理参数的敏感性,确定利用纵波阻抗与纵横波速度比参数进行储层的识别。在此基础上进行正演模拟,研究了地震的极限分辨率及不同厚度砂体的地震响应特征,确定了运用叠前地质统计学反演为核心的储层预测技术对该研究区太原组进行储层预测研究,以解决该区储层薄、横向变化快、单一岩石物理参数无法区分岩性等问题。地质统计学反演结果表明,该方法能有效的预测厚度大于3 m的储层。对比研究区内11口测井解释厚度与储层反演厚度表明,储层反演预测厚度平均误差为7.5%,其中5口盲井的平均误差为10.2%,一口新钻井的砂体厚度预测误差为1.73%,为该区的井位部署提供了可靠的资料参考。

     

  • 图  1  鄂尔多斯东缘A区块太原组连井对比剖面

    Figure  1.  Correlation section of Taiyuan formation in A block, eastern margin of the Ordos basin

    图  2  太原组岩石弹性参数分岩性统计结果

    Figure  2.  Lithology statistics of rock elastic parameters of Taiyuan formation

    图  3  地震资料品质分析

    Figure  3.  Seismic data quality analysis

    图  4  井地震正演模拟剖面

    a—地质模型; b—实际地震剖面; c—正演地震剖面; d—正演同时反演剖面

    Figure  4.  Section of seismic forward modeling

    图  5  道集优化处理

    Figure  5.  Optimization progress of gathers

    图  6  太原组岩相概率(a)及所占比例(b)

    Figure  6.  Lithofacies probability and ratio of Taiyuan formation

    图  7  A-5、A-4、A-6井纵、横波速度比对比剖面

    a—叠前同时反演剖面; b—叠前地质统计学反演剖面

    Figure  7.  Correlation profiles of Vp/Vs in A-5, A-4, A-6 well

    图  8  过A-6井地质统计学反演剖面

    Figure  8.  Pre-stack geostatistical inversion section of A-6 well

    图  9  A区块叠前地质统计学反演厚度验证

    Figure  9.  Thickness verification of pre-stack geostatistical inversion in A block

    表  1  正演模型参数表

    Table  1.   Forward model parameters

    编号 厚度/m 纵波阻抗/g·cm-3·m·s-1 纵横波速度比 密度/g·cm-3
    1号砂体 3.2 10220 1.71 2.52
    2号砂体 12 9855 1.69 2.50
    3号砂体 4.1 10060 1.70 2.51
    泥岩 12600 1.90 2.69
    下载: 导出CSV

    表  2  研究区太原组各岩性弹性参数XYZ方向变程

    Table  2.   X/Y/Z direction variable range of different lithologies of Taiyuan formation

    岩性 X/m Y/m Z/ms
    砂岩 1200 1200 1
    泥岩 1600 1600 2
    1000 1000 4
    下载: 导出CSV

    表  3  A-6井太原组砂体预测精度对比

    Table  3.   Sand body prediction accuracy comparison in Taiyuan formation of A-6 well

    砂体编号 测井厚度/m 反演厚度/m 误差/% 备注
    1 4.26 3.2 24.8 含0.4 m泥岩夹层
    2 2.2 0
    3 5.0 4.3 14
    4 2.8 0
    5 1.4 0
    6 1.3 0
    7 5.0 5.6 12 含0.1 m泥岩夹层
    8 1.5 0
    9 1.5 0
    下载: 导出CSV

    表  4  叠前地质统计学反演误差统计表

    Table  4.   Error statistics of pre-stack geostatistical inversion

    井名 层位 钻井砂厚/m 预测砂厚/m 误差率/%
    A-4 T2 23.20 21.66 6.64
    A-5 T2 6.40 6.37 0.50
    A-6 T2 15.00 14.85 1.02
    A-8 T2 3.80 4.86 27.95
    A-15 T2 4.10 4.31 5.18
    A-16 T2 3.40 3.11 8.50
    A-20 T2 20.70 20.40 1.46
    A-26 T2 9.90 9.81 0.94
    A-28 T2 24.00 22.46 6.40
    A-101 T2 22.40 22.01 1.73
    A-105 T2 13.40 15.45 15.29
    误差均值: 7.5
    注:A-8、A-15、A-26、A-101、A-105井均未参与反演约束
    下载: 导出CSV
  • [1] 国家能源局. SY/T 6832~2011致密砂岩气地质评价方法[S]. 北京: 石油工业出版社, 2011.

    National Energy Bureau. SY/T 6832~2011 Geological evaluating methods of tight sandstone gas[S]. Beijing: Petroleum Industry Press, 2011. (in Chinese)
    [2] American Association of Petroleum Geologists, Energy Minerals Division. Unconventional energy resources:2013 review[J]. Natural Resources Research, 2014, 23(1):19~98. doi: 10.1007/s11053-013-9224-6
    [3] Khlaifat A, Qutob H, Barakat N, et al. Tight gas sands development is critical to future world energy resources[R]. SPE 142049. Dubai, UAE: SPE, 2011.
    [4] 马新华, 贾爱林, 谭健, 等.中国致密砂岩气开发工程技术与实践[J].石油勘探与开发, 2012, 39(5):572~579. https://www.wenkuxiazai.com/doc/d25ab72bba1aa8114431d9b2-2.html

    MA Xinhua, JIA Ailin, TAN Jian, et al. Tight sand gas development technologies and practices in China[J]. Petroleum Exploration and Development, 2012, 39(5):572~579. (in Chinese with English abstract) https://www.wenkuxiazai.com/doc/d25ab72bba1aa8114431d9b2-2.html
    [5] 邱中建, 方辉.中国天然气大发展——中国石油工业的二次创业[J].天然气工业, 2009, 29(10):1~4. doi: 10.3787/j.issn.1000-0976.2009.10.001

    QIU Zhongjian, FANG Hui. Surging of natural gas in China:A new journey of China's petroleum industry[J]. Natural Gas Industry, 2009, 29(10):1~4. (in Chinese with English abstract) doi: 10.3787/j.issn.1000-0976.2009.10.001
    [6] 邹才能, 陶士振, 侯连华, 等.非常规油气地质[M].北京:地质出版社, 2011.

    ZOU Caineng, TAO Shizhen, HOU Lianhua, et al. Unconventional oil and gas geology[M]. Beijing:Geological Publishing House, 2011. (in Chinese)
    [7] 赵林.马尔可夫链蒙特卡罗模拟在储层反演中的应用[J].石油天然气学报(江汉石油学院学报), 2010, 32(2):249~252, 266. http://kns.cnki.net/KCMS/detail/detail.aspx?filename=jhsx201002064&dbname=CJFD&dbcode=CJFQ

    ZHAO Lin. Application of Monte Carlo simulation of Markov Chain in seismic inversion[J]. Journal of Oil and Gas Technology (Journal of Jianghan Petroleum Institute), 2010, 32(2):249~252, 266. http://kns.cnki.net/KCMS/detail/detail.aspx?filename=jhsx201002064&dbname=CJFD&dbcode=CJFQ
    [8] 高云, 朱应科, 赵华, 等.叠前同时反演技术在砂砾岩体有效储层预测中的应用[J].石油物探, 2013, 52(2):223~228. doi: 10.3969/j.issn.1006-1436.2015.02.017

    GAO Yun, ZHU Yingke, ZHAO Hua, et al. Application of prestack simultaneous inversion technique in effective reservoir prediction of sand-gravel body[J]. Geophysical Prospecting for Petroleum, 2013, 52(2):223~228. (in Chinese with English abstract) doi: 10.3969/j.issn.1006-1436.2015.02.017
    [9] Rothman D H. Geostatistical inversion of 3D seismic data for thinsand delineation[J]. Geophysics, 1998, 51(2):332~346. https://faculty.engr.utexas.edu/formation/formation/publications/trace-based-and-geostatistical-inversion-3-d-seismic-data-thin-sand-0
    [10] Dubrule O, Thibaut M, Lamy P, et al. Geostatistical reservoir characterization constrained by 3D seismic data[J]. Petroleum Geoscience, 1998, 4(2):121~128. doi: 10.1144/petgeo.4.2.121
    [11] 王文香, 刘红, 滕彬彬, 等.地质统计学反演技术在薄储层预测中的应用[J].石油与天然气地质, 2012, 33(5):730~735. doi: 10.11743/ogg20120509

    WANG Wenxiang, LIU Hong, TENG Binbin, et al. Application of geostatistical inversion to thin reservoir prediction[J]. Oil & Gas Geology, 2012, 33(5):730~735. (in Chinese with English abstract) doi: 10.11743/ogg20120509
    [12] 薛怀艳, 李熙盛, 曾友良, 等.精细刻画南海古近系油藏的叠前地质统计学反演[J].石油天然气学报(江汉石油学院学报), 2013, 35(2):92~95. http://www.cqvip.com/qk/94420A/201302

    XUE Huaiyan, LI Xisheng, ZENG Youliang, et al. Fine depiction of South China sea paleogene reservoir from prestack geostatistical inversion[J]. Journal of Oil and Gas Technology (Journal of Jianghan Petroleum Institute), 2013, 35(2):92~95. (in Chinese with English abstract) http://www.cqvip.com/qk/94420A/201302
    [13] 马东旭, 许勇, 吕剑文, 等.鄂尔多斯盆地临兴地区下石盒子组物源特征及其与储层关系[J].天然气地球科学, 2016, 27(7):1215~1224. doi: 10.11764/j.issn.1672-1926.2016.07.1215

    MA Dongxu, XU Yong, LÜ Jianwen, et al. Relationship between provenance and formation of Lower Shihezi Formation in Linxing area, Ordos Basin, China[J]. Natural Gas Geoscience, 2016, 27(7):1215~1224. (in Chinese with English abstract) doi: 10.11764/j.issn.1672-1926.2016.07.1215
    [14] 赵达, 许浩, 汪雷, 等.临兴地区山西组致密砂岩储层特征及成因探讨[J].岩性油气藏, 2016, 28(4):51~58. http://d.old.wanfangdata.com.cn/Periodical/yxyqc201604007

    ZHAO Da, XU Hao, WANG Lei, et al. Characteristics and genesis of tight sandstone reservoir of Shanxi Formation in Linxing area, Ordos[J]. Lithologic Reservoirs, 2016, 28(4):51~58. (in Chinese with English abstract) http://d.old.wanfangdata.com.cn/Periodical/yxyqc201604007
    [15] 杨宁, 王贵文, 赖锦, 等.岩石物理相的控制因素及其定量表征方法研究[J].地质评论, 2013, 59(3):563~574. http://d.old.wanfangdata.com.cn/Periodical/dzlp201303018

    YANG Ning, WANG Guiwen, LAI Jin, et al. Researches of the control factors and the quantitatively characterization method of reservoir petrophysical facies[J]. Geological Review, 2013, 59(3):563~574. (in Chinese with English abstract) http://d.old.wanfangdata.com.cn/Periodical/dzlp201303018
    [16] 成志刚, 宋子齐, 何羽飞, 等.岩石物理相分类与致密储层含气层评价——以苏里格气田东区致密储层老井复查为例[J].油气地质与采收率, 2013, 20(5):23~27, 32. https://mall.cnki.net/lunwen-1014389758.html

    CHENG Zhigang, SONG Ziqi, HE Yufei, et al. Classification of petrophysical facies and gas evaluation in tight reservoir-case of re-evaluation of old wells in eastern Sulige[J]. Petroleum Geology and Recovery Efficiency, 2013, 20(5):23~27, 32. (in Chinese with English abstract) https://mall.cnki.net/lunwen-1014389758.html
    [17] 赵铭海, 傅爱兵, 关丽, 等.罗家地区页岩油气测井评价方法[J].油气地质与采收率, 2012, 19(6):20~24. doi: 10.3969/j.issn.1009-9603.2012.06.005

    ZHAO Minghai, FU Aibing, GUAN Li, et al. Logging evaluation method of shale oil and gas reservoir in Luojia area[J]. Petroleum Geology and Recovery Efficiency, 2012, 19(6):20~24. (in Chinese with English abstract) doi: 10.3969/j.issn.1009-9603.2012.06.005
    [18] 王贤, 杨永生, 陈家琪, 等.地震正演模型在预测薄储层中的应用[J].新疆地质, 2007, 25(4):432~435. http://d.old.wanfangdata.com.cn/Periodical/xjdz200704020

    WANG Xian, YANG Yongsheng, CHEN Jiaqi, et al. Application of seismic forward modeling to prediction of thin reservoir[J]. Xinjiang Geology, 2007, 25(4):423~435. (in Chinese with English abstract) http://d.old.wanfangdata.com.cn/Periodical/xjdz200704020
    [19] Nowak E J, Swan H W, Lane D. Quantitative thickness estimates from the spectral response of AVO measurements[J]. Geophysics, 2007, 73(1):C1~C6. https://pubs.geoscienceworld.org/geophysics/article-abstract/73/1/C1/302056/quantitative-thickness-estimates-from-the-spectral
    [20] Kallweit R S, Wood L C. The limits of resolution of zero-phase wavelets[J]. Geophysics, 1982, 47(7):1035~1046. doi: 10.1190/1.1441367
    [21] 云美厚.地震分辨率[J].勘探地球物理进展, 2005, 28(1):12~18. http://www.docin.com/p-1131144679.html

    YUN Meihou. On seismic resolution[J]. Progress in Exploration Geophysics, 2005, 28(1):12~18. (in Chinese with English abstract) http://www.docin.com/p-1131144679.html
    [22] 沈财余, 阎向华.测井约束地震反演的分辨率与地震分辨率的关系[J].石油物探, 1999, 38(4):96~106. http://kns.cnki.net/KCMS/detail/detail.aspx?filename=sywt199904013&dbname=CJFD&dbcode=CJFQ

    SHEN Caiyu, YAN Xianghua. Relation between the resolution of well log constrained seismic inversion and seismic resolution[J]. Geophysical Prospecting for Petroleum, 1999, 38(4):96~106. (in Chinese with English abstract) http://kns.cnki.net/KCMS/detail/detail.aspx?filename=sywt199904013&dbname=CJFD&dbcode=CJFQ
    [23] 张雅君, 侯斌, 陈岭.叠前地震反演道集数据的预处理[J].复杂油气藏, 2014, 7(1):34~37. http://d.old.wanfangdata.com.cn/Periodical/fzyqc201401012

    ZHANG Yajun, HOU Bin, CHEN Ling. The gather data preprocessing of prestack seismic inversion[J]. Complex Hydrocarbon Reservoirs, 2014, 7(1):34~37. (in Chinese with English abstract) http://d.old.wanfangdata.com.cn/Periodical/fzyqc201401012
    [24] 马良涛, 范廷恩, 王宗俊, 等.不确定性反演关键参数的地质含义及正演模型反演研究——以渤海海域W油田为例[J].地球物理学进展, 2017, 32(1):224~230. doi: 10.6038/pg20170131

    MA Liangtao, FAN Ting'en, WANG Zongjun, et al. Key parameter's geologic meanings and its forward model inversion study for geostatistics inversion-take W oilfield in the Bohai bay for example[J]. Progress in Geophysics, 2017, 32(1):224~230. (in Chinese with English abstract) doi: 10.6038/pg20170131
    [25] 肖义越.应用贝叶斯最佳二次型判别函数识别油气水层[J].地质科学, 1982, 15(1):88~95. http://kns.cnki.net/KCMS/detail/detail.aspx?filename=dzkx198201011&dbname=CJFD&dbcode=CJFQ

    XIAO Yiyue. The use of Bayes best quadratic discriminant function to recognize oil-and water-bearing bed[J]. Scientia Geologica Sinica, 1982, 15(1):88~95. (in Chinese with English abstract) http://kns.cnki.net/KCMS/detail/detail.aspx?filename=dzkx198201011&dbname=CJFD&dbcode=CJFQ
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  • 收稿日期:  2017-09-15
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