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Quantitative prediction of water content in porosity in coal measure strata using three-component seismic data
LU Jun; WANG Yun; ZHAO Wei
2010
发表期刊Chinese Journal of Geophysics
卷号53期号:7页码:1734-1740
摘要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.
关键词Water Content Porosity Saturation Coal Seam 3d3c Seismic Exploration
学科领域矿床地球化学
语种英语
文献类型期刊论文
条目标识符http://ir.gyig.ac.cn/handle/352002/6806
专题矿床地球化学国家重点实验室_矿床地球化学国家重点实验室_期刊论文
推荐引用方式
GB/T 7714
LU Jun,WANG Yun,ZHAO Wei. Quantitative prediction of water content in porosity in coal measure strata using three-component seismic data[J]. Chinese Journal of Geophysics,2010,53(7):1734-1740.
APA LU Jun,WANG Yun,&ZHAO Wei.(2010).Quantitative prediction of water content in porosity in coal measure strata using three-component seismic data.Chinese Journal of Geophysics,53(7),1734-1740.
MLA LU Jun,et al."Quantitative prediction of water content in porosity in coal measure strata using three-component seismic data".Chinese Journal of Geophysics 53.7(2010):1734-1740.
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