基于AVO反演技术的赵家寨煤矿煤层瓦斯含量分布预测
Distribution Predicting of Coal Seam Gas Content Based on AVO Inversion Technology in Zhaojiazhai Coal Mine
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摘要: 为预测赵家寨煤矿14采区煤层瓦斯含量分布,结合赵家寨煤矿14采区勘探地震资料,基于截距和梯度属性,得到纵波阻抗、横波阻抗、极化参数、密度和伪泊松比等地震属性。地震属性与煤层含气量之间具有相关性,瓦斯含量高的煤层一般能形成较强的AVO 异常,瓦斯含量低的煤层AVO异常较弱。利用AVO反演技术，建立不同地震属性与煤层瓦斯含量之间的相关关系,从而获得赵家寨煤矿14采区煤层瓦斯含量分布。研究表明,煤层瓦斯含量预测结果与实测瓦斯含量误差小,吻合性好,说明AVO 反演技术在一定条件下适用于预测煤层瓦斯含量分布。Abstract: To predict gas content distribution in No.14 mining area of Zhaojiazhai Coal Mine, combined with the exploration seismic data, based on intercept and gradient properties, seismic attributes of P-wave impedance, shear impedance, polarization parameters, density and pseudo-Poisson's ratio are obtained. There is a correlation between seismic attributes and coalbed gas, high gas content of coal seam generally forms a strong AVO anomaly, low gas content of coal seam AVO anomaly is weak. By AVO inversion technique, a correlation between the different seismic attributes and coal seam gas content is established, and Zhaojiazhai coal seam gas distribution content of No.14 mining area is obtained. The study shows that the prediction error between predicted gas content and measured gas content at the coal seam of borehole is low, which indicates that the prediction of coal-bed gas content by the AVO inversion technique is a valid approach.
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