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Preliminary discussion and application of P-wave technique for prediction the gas-bearing property in CBM reservoir

机译:P波技术预测CBM储层中煤气轴承性能的初步探讨与应用

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The prediction for the gas-bearing property of coal beds becomes a new task for seismic technology. Based on international and domestic research results on the petro-physical and geophysical responses of the gasbearing coal beds, this paper proposes a prediction technique using P-wave data which mainly studies the variation of dynamic characteristics such as the amplitude, frequency, and attenuation of the coal bed reflected wave and discusses the theoretical basis and implementation method of the prediction technique for the gas-bearing property for coal beds which applies a constraint inversion by sonic waves fitted with Gamma, spectral decomposition, AVO inversion and El inversion. From the preliminary application to the seismic data from Qinshui Basin, the prediction results of the gas-bearing property basically coincide with the gas content obtained by wells, which is in accordance with the CBM high-permeability enrichment theory. This study has preliminarily proved the feasibility and validity of the prediction technique for the CBM-bearing property using P-wave data.
机译:对煤层的含气特性的预测成为抗震技术的新任务。基于对gasbearing煤层的石油物理和地球物理响应国际和国内的研究成果,提出了利用P波数据衰减的预测技术,它主要研究的动态特性,如振幅,频率的变化,和煤床反射波,并讨论了气体支承属性煤床施加由装配有伽马,频谱分解,AVO反演和El反转声波约束反演预测技术的理论基础和实现方法。从初步应用到从沁水盆地,气体轴承属性的预测结果基本上与由井获得的气体含量,这是按照与CBM高导磁率富集理论一致的地震数据。本研究初步证明了使用P波数据的CBM-轴承属性的预测技术的可行性和有效性。

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