应用三分量地震数据反演煤系地层孔隙含水量
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摘要
地层孔隙水含量的计算主要受地层孔隙度与孔隙含水饱和度的影响.通过实验室煤层及其顶底板岩芯物理测试与孔隙度测量,可以获得煤系地层岩芯的孔隙度与岩芯纵、横波速度的经验公式;结合三分量地震勘探获得的纵波与横波速度,能够计算出煤系地层的孔隙度;含水饱和度的计算通过实验室岩电参数测试和阿尔奇公式可以计算得到.结合淮南某矿区三维三分量地震勘探和地球物理测井及岩样的岩电试验,实现了三维空间煤系地层孔隙含水体积百分比的精确计算.该预测方法与传统的、钻孔控制的地下水评价方法相比可以提供相对精细的、三维空间的、定量化的煤系地层孔隙相对含水量,对煤炭与煤层气资源开采中所涉及的地下水分布规律预测有一定的参考意义.
The calculation of water content of subsurface formations is mainly influenced by the porosity and saturation.Through laboratory tests of core samples of coal seam and its roof and floor, the relations between porosity and compressional and shear wave velocities are statistically set up.Then combined with the P-and S-wave velocities inversed from 3-component seismic exploration, 3-dimensional porosity data of the coal measure strata are calculated.By the lithological-electrical parameters testing results and Archie Formula, the water saturation of subsurface formations is derived.With the methods above, predictions of comparative water content in three coal seams were tried in Huainan Coal Field;with the help of 3D three-component seismic data, well logging and samples tests, quantitative prediction of 3-dimensional water content of the coal seam is realized.Compared with conventional methods such as borehole controlled evaluation, the new method can calculate 3-dimensional water content in a relatively fine and quantitative way, and the method may provide useful references for estimating water content distribution in coal and gas exploitation.
The calculation of water content of subsurface formations is mainly influenced by the porosity and saturation.Through laboratory tests of core samples of coal seam and its roof and floor, the relations between porosity and compressional and shear wave velocities are statistically set up.Then combined with the P-and S-wave velocities inversed from 3-component seismic exploration, 3-dimensional porosity data of the coal measure strata are calculated.By the lithological-electrical parameters testing results and Archie Formula, the water saturation of subsurface formations is derived.With the methods above, predictions of comparative water content in three coal seams were tried in Huainan Coal Field;with the help of 3D three-component seismic data, well logging and samples tests, quantitative prediction of 3-dimensional water content of the coal seam is realized.Compared with conventional methods such as borehole controlled evaluation, the new method can calculate 3-dimensional water content in a relatively fine and quantitative way, and the method may provide useful references for estimating water content distribution in coal and gas exploitation.
引文
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[4] 赵玉琳,尹世才,王海泉.奥陶系灰岩富水区带划分的综合水文地质研究.煤炭技术,2008,27(11) :114～116 Zhao Y L,Yin S C,Wang H Q.Hydro-geological study of water abundant area division in ordovician limestone aquifer.Coal Technology(in Chinese),2008,27(11) :114～116
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[10] 罗娜.阿尔奇公式数值分析及其意义.石油学报,2007,28(1) :111～114 Luo N.Numerical analysis of Archie formulae and its meaning.Acta Petrolei Sinica(in Chinese),2007,28(1) :111～114
[11] 张振城,孙建孟,马建海等.阿尔奇公式中a,m值对饱和度计算结果的影响.石油大学学报(自然科学版),2004,28(6) :27～34 Zhang Z W,Sun J M,Ma J H,et.al.Effect of different values of a and m in Archie formula on water saturation.Journal of the University of Petroleum(in Chinese),2004,28(6) :27～34
[12] 张 喜,乔向阳.王玉艳等.神经网络多属性分析技术.油气田地面工程,2007,26(8) :1～3 Zhang X,Qiao X Y,Wang Y M,et.al.Neural network multi-attribute analysis technology.Oil field Surface Engineering(in Chinese),2007,26(8) :1～3
[13] 侯俊胜,王颖.神经网络方法在煤层气测井资料解释中的应用.地质与勘探,1999,35(3) :41～44 Hou J S,Wang Y.Interpretation of well logging data for coalbed methane using neural network.Geology and Prespecting(in Chinese),1999,35(3) :41～44
[14] 赵发展,王赟,王界益等.准噶尔和塔里木盆地不同岩性岩电参数研究.地球物理学进展,2006,21(4) :1258～1265 Zhao F Z,Wang Y,Wang J Y,et.al.Rock-electro parameters variant lithologic characters in Junggar and Tarim basin.Process of Geophysics(in Chinese),2006,21(4) :1258～1265
[15] 朱广生.地震双波速法预测孔隙度.江汉石油学院学报,1992,14(1) :27～32 Zhu G S.Use of P-wave and S-wave in porosity prediction with seismic data.Journal of Jianghan Petroleum Institute(in Chinese),1992,14(1) :27～32
[16] Stewart R R.Joint P and P-SV inversion.CREWES Project Research Report ,1990,2:112～115
[17] Vestrum R W,Stewart R R.Joint P and P-SV inversion:Application and testing.CREWES Research Report,1993． 13
[2] 张占存.水份对煤的瓦斯吸附特性影响的实验研究[硕士学位论文].北京:煤炭科学研究总院,2004 Zhang Z C.Experimental Research on Moisture Effects on the Gas Absorption Specialty of Coal[Master's degree thesis].Beijing:China Coal Research Institute ,2004
[3] 王国玲,秦勇.煤储层含气性特征及其地质动力学控制因素.中国煤炭地质,2009,21(2) :18～23 Wang G L,Qin Y.Gas-bearing characteristics of coal reservoirs and their geological dynamic controlling factors.Coal Geology of China(in Chinese),2009,21(2) :18～23
[4] 赵玉琳,尹世才,王海泉.奥陶系灰岩富水区带划分的综合水文地质研究.煤炭技术,2008,27(11) :114～116 Zhao Y L,Yin S C,Wang H Q.Hydro-geological study of water abundant area division in ordovician limestone aquifer.Coal Technology(in Chinese),2008,27(11) :114～116
[5] 吴钦宝,王秀东,宁方助.煤田三维地震勘探的应用及效果分析.地球物理学进展,2005,20(2) :377～380 Wu Q B,Wang X D,Ning F Z.Application and analysis of 3D seismic exploration in coal mine.Process in Geophysics(in Chinese),2005,20(2) :377～380
[6] 段铁梁.中国煤田测井技术发展历程及前景展望.中国煤田地质,2003,15(6) :65～67 DuanT L.Course and prospect of China coalfield well logging technology.Coal Geology of China(in Chinese),2003,15(6) :65～67
[7] 葛祥,李 涛.煤层物性测井评价方法初探.测井技术,2003,27(2) :129～131 Ge X,Li T.On well logging evaluation method for the physical property of coalbed.WLT(in Chinese),2003,27(2) :129～131
[8] 余宝柱.煤矿地质与测量.北京:煤炭工业出版社,1992 Yu B Z.Mine Geology and Measurement(in Chinese).Beijing:China Coal Industry Publishing House.1992
[9] W.H.弗特尔,沈志成.根据测井资料预测含水量.测井技 术,1980,1 :19～24 FuTeer W H,Shen Z C.Water content prediction according to well logging data.Well Logging Technology(in Chinese),1980,1:19～24
[10] 罗娜.阿尔奇公式数值分析及其意义.石油学报,2007,28(1) :111～114 Luo N.Numerical analysis of Archie formulae and its meaning.Acta Petrolei Sinica(in Chinese),2007,28(1) :111～114
[11] 张振城,孙建孟,马建海等.阿尔奇公式中a,m值对饱和度计算结果的影响.石油大学学报(自然科学版),2004,28(6) :27～34 Zhang Z W,Sun J M,Ma J H,et.al.Effect of different values of a and m in Archie formula on water saturation.Journal of the University of Petroleum(in Chinese),2004,28(6) :27～34
[12] 张 喜,乔向阳.王玉艳等.神经网络多属性分析技术.油气田地面工程,2007,26(8) :1～3 Zhang X,Qiao X Y,Wang Y M,et.al.Neural network multi-attribute analysis technology.Oil field Surface Engineering(in Chinese),2007,26(8) :1～3
[13] 侯俊胜,王颖.神经网络方法在煤层气测井资料解释中的应用.地质与勘探,1999,35(3) :41～44 Hou J S,Wang Y.Interpretation of well logging data for coalbed methane using neural network.Geology and Prespecting(in Chinese),1999,35(3) :41～44
[14] 赵发展,王赟,王界益等.准噶尔和塔里木盆地不同岩性岩电参数研究.地球物理学进展,2006,21(4) :1258～1265 Zhao F Z,Wang Y,Wang J Y,et.al.Rock-electro parameters variant lithologic characters in Junggar and Tarim basin.Process of Geophysics(in Chinese),2006,21(4) :1258～1265
[15] 朱广生.地震双波速法预测孔隙度.江汉石油学院学报,1992,14(1) :27～32 Zhu G S.Use of P-wave and S-wave in porosity prediction with seismic data.Journal of Jianghan Petroleum Institute(in Chinese),1992,14(1) :27～32
[16] Stewart R R.Joint P and P-SV inversion.CREWES Project Research Report ,1990,2:112～115
[17] Vestrum R W,Stewart R R.Joint P and P-SV inversion:Application and testing.CREWES Research Report,1993． 13
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