致密地层岩石脆性指数的测井优化建模

doi:10.7623/syxb201511010

石油学报 ›› 2015, Vol. 36 ›› Issue (11): 1411-1420.DOI: 10.7623/syxb201511010

致密地层岩石脆性指数的测井优化建模

范卓颖¹, 林承焰¹, 王天祥², 葛新民^1,3

1. 中国石油大学地球科学与技术学院山东青岛 266580;
2. 中国石油青海油田公司勘探开发研究院甘肃敦煌 736202;
3. 中国石油大学CNPC测井重点实验室山东青岛 266580

收稿日期:2015-07-26 修回日期:2015-10-12 出版日期:2015-11-25 发布日期:2015-12-05
通讯作者: 范卓颖,女,1987年4月生,2009年获中国石油大学(华东)地球科学与技术学院学士学位,现为中国石油大学(华东)地球科学与技术学院博士研究生,主要从事储层测井评价及油藏描述研究。Email:114531680@qq.com
作者简介:范卓颖,女,1987年4月生,2009年获中国石油大学(华东)地球科学与技术学院学士学位,现为中国石油大学(华东)地球科学与技术学院博士研究生,主要从事储层测井评价及油藏描述研究。Email:114531680@qq.com
基金资助:
中国博士后基金面上项目(2014M560591)、国家自然科学基金项目(No.41404086)、国家重大科技专项(2011ZX05020-008)、山东省自然科学基金项目(ZR2014DQ007)和中国石油天然气股份有限公司重大科技专项(2012E-34-12)资助。

Logging optimization modeling on brittleness index of tight formation rocks

Fan Zhuoying¹, Lin Chengyan¹, Wang Tianxiang², Ge Xinmin^1,3

1. School of Geosciences, China University of Petroleum, Shandong Qingdao 266580, China;
2. Research Institute of Exploration and Development, PetroChina Qinghai Oilfield Company, Gansu Dunhuang 736202, China;
3. CNPC Key Well Logging Laboratory, China University of Petroleum, Shandong Qingdao 266580, China

Received:2015-07-26 Revised:2015-10-12 Online:2015-11-25 Published:2015-12-05

摘要/Abstract

摘要：

脆性评价是页岩油气、致密油气等非常规油气藏的大型压裂、开发等储层改造工程中的关键工作。根据岩石力学、动态弹性参数和岩石物理、X-射线衍射、地球化学等资料,分析了国内外几种常用脆性指数之间的相互关系,研究了弹性参数法脆性指数与岩石矿物组分及含量的关系,明确了矿物及组分对脆性的影响并应用多元回归法建立了基于权重矿物组分的脆性指数模型。构建新的岩石物理体积模型,应用最优化测井方法得到岩石的矿物和孔隙含量,实现了基于常规测井资料的脆性指数精确计算。研究表明:岩石脆性指数与矿物组分及含量有关,不同区块、不同地层的矿物具有不同的脆性特征;该工区方解石是使岩石脆性增强和裂缝产生的主要矿物,有机碳、黏土、石英和斜长石是降低脆性的重要矿物;基于常规测井资料的优化计算所得岩石组分及含量与实验数据一致性高;将处理结果与矿物组分模型相结合得到的脆性指数与弹性参数法脆性指数基本一致,为无横波资料井的岩石脆性评价奠定了基础。

关键词: 脆性指数, 岩石力学, 矿物组分, 方解石, 常规测井

Abstract:

Brittleness evaluation is a key parameter for massive fracturing, development and other reconstruction engineering of unconventional hydrocarbon reservoirs such as shale and tight oil and gas. Based on rock mechanics, dynamic elastic parameters, rock physics, X-ray diffraction and geochemical data, this study analyzes the correlations among several brittle indices at home and abroad, carries out researches on the relationship between the brittleness index obtained by elastic parameter method and rock mineral components as well as contents, and clarifies the influences of minerals and components on brittleness. Meanwhile, the brittleness index model based on weighted mineral components is built using multiple regression method. A new rock physics volume model was established to obtain rock mineral and pore contents with the use of optimization logging method, based on which brittleness index can be precisely calculated based on conventional logging data. The results show that rock brittleness index is related to mineral components and contents. The minerals in different formations of various blocks had diversified brittle characteristics. Calcites in this work area are the main mineral produced through enhancement of rock brittleness and fissure generation, while the important minerals such as organic carbon, clay, quartz and plagioclase are formed due to brittleness reduction. Rock components and contents obtained by optimization calculation based on conventional logging data are highly consistent with experimental data. The brittleness index obtained through combination of processing results and mineral component model was basically consistent with that obtained by elastic parameter method, laying a foundation for evaluating rock brittleness of wells in lack of shear wave data.

Key words: brittleness index, rock mechanics, mineral component, calcite, conventional logging

中图分类号:

TE311

范卓颖, 林承焰, 王天祥, 葛新民. 致密地层岩石脆性指数的测井优化建模[J]. 石油学报, 2015, 36(11): 1411-1420.

Fan Zhuoying, Lin Chengyan, Wang Tianxiang, Ge Xinmin. Logging optimization modeling on brittleness index of tight formation rocks[J]. Acta Petrolei Sinica, 2015, 36(11): 1411-1420.

参考文献

[1] 杨正明,张仲宏,刘学伟,等.低渗/致密油藏分段压裂水平井渗流特征的物理模拟及数值模拟[J].石油学报,2014,35(1):85-92.
Yang Zhengming,Zhang Zhonghong,Liu Xuewei,et al.Physical and numerical simulation of porous flow pattern in multi-stage fractured horizontal wells in low permeability/tight oil reservoirs[J].Acta Petrolei Sinica,2014,35(1):85-92.
[2] 张士诚,郭天魁,周彤,等.天然页岩压裂裂缝扩展机理试验[J].石油学报,2014,35(3):496-503.
Zhang Shicheng,Guo Tiankui,Zhou Tong,et al.Fracture propagation mechanism experiment of hydraulic fracturing in natural shale[J].Acta Petrolei Sinica,2014,35(3):496-503.
[3] 袁俊亮,邓金根,张定宇,等.页岩气储层可压裂性评价技术[J].石油学报,2013,34(3):523-527.
Yuan Junliang,Deng Jingen,Zhang Dingyu,et al.Fracability evaluation of shale-gas reservoirs[J].Acta Petrolei Sinica,2013,34(3):523-527.
[4] Goktan R M,Yilmaz N G.A new methodology for the analysis of the relationship between rock brittleness index and drag pick cutting efficiency[J].The Journal of the South African Institute of Mining and Metallurgy,2005,105(10):727-734.
[5] Tiryaki B.Evaluation of the indirect measures of rock brittleness and fracture toughness in rock cutting[J].The Journal of the South African Institute of Mining and Metallurgy,2006,106(6):407-423.
[6] Yagiz S.Assessment of brittleness using rock strength and density with punch penetration test[J].Tunnelling and Underground Space Technology,2009,24(1):66-74.
[7] Sondergeld C H,Newsham K E,Comisky J T,et al.Petrophysical considerations in evaluating and producing shale gas resources[R].SPE 131768,2010:23-25.
[8] 张新华,邹筱春,赵红艳,等.利用X荧光元素录井资料评价页岩脆性的新方法[J].石油钻探技术,2012,40(5):92-95.
Zhang Xinhua,Zou Xiaochun,Zhao Hongyan,et al.A new method of evaluation shale brittleness using X-ray fluorescence element logging data[J].Petroleum Drilling Techniques, 2012,40(5):92-95.
[9] Sone H.Mechanical properties of shale gas reservoir rocks and its relation to the in-situ stress variation observed in shale gas reservoirs[D].PaloAlto:Standford University,2012.
[10] 郭海萱,郭天魁.胜利油田罗家地区页岩储层可压性实验评价[J].石油实验地质,2013,35(3):339-346.
Guo Haixuan,Guo Tiankui.Experimental evaluation of crushability of shale reservoirs in Luojia area,Shengli Oilfield[J].Petroleum Geology & Experiment,2013,35(3):339-346.
[11] 夏宏泉,杨双定,弓浩浩,等.岩石脆性实验及压裂缝高度与宽度测井预测[J].西南石油大学学报:自然科学版,2013,35(4):81-89.
Xia Hongquan,Yang Shuangding,Gong Haohao,et al.Research on rock brittleness experiment and logging prediction of hydraulic fracture height & width[J].Journal of Southwest Petroleum University:Science & Technology Edition,2013,35(4):81-89.
[12] Kahramana S,Altindag R.A brittleness index to estimate fracture toughness[J].International Journal of Rock Mechanics and Mining Sciences,2004,41(2):343-348.
[13] Morley.A Strength of material[M].London:Longman,Green,1944:35.
[14] Hentenyi M.Handbook of experimental stress analysis[M].New York:John Wiley,1966:23-25.
[15] Altindag R.Correlation of specific energy with rock brittleness concepts on rock cutting[J].The Journal of the South African Institute of Mining and Metallurgy,2003,103(4):163-172.
[16] Ramsay J G.Folding and fracturing of rocks[M].London:McGraw-Hill,1967.
[17] Gong Q M,Zhao J.Influence of rock brittleness on TBM penetration rate in Singapore granite[J].Tunnelling and Underground Space Technology,2007,22(3):317-324.
[18] 李庆辉,陈勉,金衍,等.页岩脆性的室内评价方法及改进[J].岩石力学与工程学报,2012,31(8):1680-1685.
Li Qinghui,Chen Mian,Jin Yan,et al.Indoor evaluation method for shale brittleness and improvement[J].Chinese Journal of Rock Mechanics and Engineering,2012,31(8):1680-1685.
[19] Hucka V,Das B.Brittleness determination of rocks by different methods[J].International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts,1974,11(10):389-392.
[20] Kahraman S.Correlation of TBM and drilling machine performances with rock brittleness[J].Engineering Geology,2002,65(4):269-283.
[21] Altindag R.The evaluation of rock brittleness concept on rotary blast hole drills[J].The Journal of the South African Institute of Mining and Metallurgy,2002,102(1):61-66.
[22] 冯涛,谢学斌,王文星,等.岩石脆性及描述岩爆倾向的脆性系数[J].矿冶工程,2000,20(4):18-19.
Feng Tao,Xie Xuebin,Wang Wenxing,et al.Brittleness of rocks and brittleness indexes for describing rockburst proneness[J].Mining and Metallurgical Engineering,2000,20(4):18-19.
[23] Goodway B,Perez M,Varsek J,et al.Seismic petrophysics and Isotropic-anisotropic AVO methods for unconventional gas exploration[J].The Leading Edge,2010,29(12):1500-1508.
[24] Fjaer E,Holt R M,Horsrud P,et al.Petroleum related rock mechanics[M].2nd ed.Developments in Petroleum Science,1992:43-46.
[25] Rickman R,Mullen M,Petre E,et al.A Practical use of shale petrophysics for stimulation design optimization:all shale plays are not clones of the barnett shale[R].SPE 115258,2008.
[26] Guo Z,Chapman M,Li X.Exploring the effect of fractures and microstructure on brittleness index in the Barnett Shale[J].SEG Technical Program Expanded Abstracts,2012:1-5.
[27] Goodway B,Perez M,Varsek J,et al.Seismic petrophysics and isotropic-anisotropic AVO methods for unconventional gas exploration[J].The Leading Edge,2010,29(12):1500-1580.
[28] Ersoy A,Waller M D.Textural characterization of rocks[J].Engineering Geology,1995,39(3/4):123-136.
[29] Åkesson U,Stigh J,Lindqvist J E,et al.The influence of foliation on the fragility of granitic rocks,image analysis and quantitative microscopy[J].Engineering Geology,2003,68(3/4):275-288.
[30] Mathews H L,Schein G,Malone M.Stimulation of gas shales:they're all the same-right?[R].SPE Hydraulic Fracturing Technology Conference,2007:29-31.
[31] 蒋裕强,董大忠,漆麟,等.页岩气储层的基本特征及其评价[J].天然气工业,2010,30(10):7-12.
Jiang Yuqiang,Dong Dazhong,Qi Lin,et al.Basic features and evaluation of shale gas reservoirs[J].Natural Gas Industry,2010,30(10):7-12.
[32] Slatt R M.Important geological properties of unconventional resource shales[J].Central European Journal of Geosciences,2011,3(4):435-448.
[33] Slatt R M,Abousleiman Y.Multi-scale,brittle-ductile couplets in unconventional gas shales:merging sequence stratigraphy and geomechanics[C].Presentation at AAPG Annual Convention and Exhibition,Houston,Texas,USA,2011,4:10-13.
[34] Glorioso J C,Rattia A J.Unconventional reservoirs:basic petrophysical concepts for shale gas[R].SPE 153004,2012:20-22.
[35] Gargouri M.Multicomponent 3D seismic interpretation of the marcellus shale bradford county,pennsylvania[D].Houston:University of Houston,2012.
[36] 雍世和,张超谟.测井数据处理与综合解释[M].东营:中国石油大学出版社,2002.
Yong Shihe,Zhang Chaomo.Logging data processing and compregensive interpretation[M].Dongying:China University of Petroleum Press,2002.
[37] 刘俊华,金云智,龚时雨.最优化方法在复杂岩性储层测井解释中的应用[J].测井技术,2008,32(6):542-544.
Liu Junhua,Jin Yunzhi,Gong Shiyu.Application of the optimization method to complex lithology reservoir log interpretation[J].Well Logging Technology,2008,32(6):542-544.
[38] 王拥军,夏宏泉,陈科贵,等.塔里木碳酸盐岩储层最优化测井解释方法[J].西南石油学院学报,2000,22(4):18-21.
Wang Yongjun,Xia Hongquan,Chen Kegui,et al.Optimized log interpretation for carbonate reservoirs in Tarim basin[J].Journal of Southwest Petroleum Institute,2000,22(4):18-21.
[39] 冯周,李宁,武宏亮,等.缝洞储集层测井最优化处理[J].石油勘探与开发,2014,41(2):176-181.
Feng Zhou,Li Ning,Wu Hongliang,et al.Logging optimization processing method for fractured-vuggy reservoirs[J].Petroleum Exploration and Development,2014,41(2):176-181.
[40] Ge Xinmin,Wang Yang,Fan Yiren,et al.Determination of Total Organic Carbon (TOC) in tight reservoir using Empirical Mode Decomposition-Support Vector Regression (EMD-SVR):a case study from XX-1 Basin,Western China[J].ASEG Extended Abstracts,2015(1):1-10.

致密地层岩石脆性指数的测井优化建模

Logging optimization modeling on brittleness index of tight formation rocks

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	桑树勋, 郑司建, 王建国, 周效志, 刘世奇, 韩思杰, 赵伟光, 黄华州, 王冉, 汪吉林, 张志镇, 赵立明, 潘冬明, 陈同俊. 岩石力学地层新方法在深部煤层气勘探开发“甜点”预测中的应用[J]. 石油学报, 2023, 44(11): 1840-1853.
[2]	蒋龙, 杜玉山, 张云蛟, 王冠民, 任敏华, 程紫燕, 孟维新, 侯植耀. 牛庄洼陷沙河街组四段上亚段—沙河街组三段下亚段细粒沉积岩纹层状亮晶方解石脉的发育机理与模式[J]. 石油学报, 2023, 44(10): 1637-1649.
[3]	郭小文, 陈家旭, 袁圣强, 何生, 赵建新. 含油气盆地激光原位方解石U-Pb年龄对油气成藏年代的约束——以渤海湾盆地东营凹陷为例[J]. 石油学报, 2020, 41(3): 284-291.
[4]	卞青, 陈琰, 张国卿, 刘润超, 王振东, 郭召杰. 柴达木盆地膏盐层岩石物理特征及其对构造变形的影响[J]. 石油学报, 2020, 41(2): 197-204.
[5]	魏国齐, 郑雅丽, 邱小松, 孙军昌, 石磊, 赖欣. 中国地下储气库地质理论与应用[J]. 石油学报, 2019, 40(12): 1519-1530.
[6]	张顺, 刘惠民, 宋国奇, 王永诗, 陈世悦, 张守鹏. 东营凹陷页岩油储集空间成因及控制因素[J]. 石油学报, 2016, 37(12): 1495-1507,1527.
[7]	程敬华, 李荣西, 覃小丽, 李得路, 赵帮胜, 李佳佳, 吴小力, 王宁. 成岩相对低渗透储层砂岩岩石力学性质的控制——以鄂尔多斯盆地东部上古生界天然气储层为例[J]. 石油学报, 2016, 37(10): 1256-1264.
[8]	金强, 康逊, 田飞. 塔河油田奥陶系古岩溶径流带缝洞化学充填物成因和分布[J]. 石油学报, 2015, 36(7): 791-798,836.
[9]	王秀平, 牟传龙, 葛详英, 陈小炜, 周恳恳, 王启宇, 梁薇. 川南及邻区龙马溪组黑色岩系矿物组分特征及评价[J]. 石油学报, 2015, 36(2): 150-162.
[10]	孙建孟, 韩志磊, 秦瑞宝, 张晋言. 致密气储层可压裂性测井评价方法[J]. 石油学报, 2015, 36(1): 74-80.
[11]	曹正林, 袁剑英, 黄成刚, 魏志福, 张世铭, 王莹, 佘敏. 高温高压碎屑岩储层中石膏溶解对方解石沉淀的影响[J]. 石油学报, 2014, 35(3): 450-454.
[12]	俞杨烽, 康毅力, 游利军, 陈强, 杨斌. 碱液侵蚀：一种泥页岩井壁失稳新机理[J]. 石油学报, 2013, 34(5): 983-988.
[13]	袁俊亮, 邓金根, 张定宇, 李大华, 闫伟, 陈朝刚, 程礼军, 陈子剑. 页岩气储层可压裂性评价技术[J]. 石油学报, 2013, 34(3): 523-527.
[14]	张　莹　潘保芝. 松辽盆地火山岩岩性识别中测井数据的选择及判别方法[J]. 石油学报, 2012, 33(5): 830-834.
[15]	曹剑, 胡文瑄, 姚素平, 张义杰, 王绪龙, 张越迁, 唐勇, 石新璞. 准噶尔盆地储层中的锰元素及其原油运移示踪作用[J]. 石油学报, 2009, 30(5): 705-710.