谱分解调谐体技术在薄储层定量预测中的应用
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摘要
谱分解调谐体技术是通过离散傅里叶变换或最大熵等方法,将地震资料从时间域转换到频率域,利用振幅谱及相位谱对地震资料在频率域进行地质解释的技术。将谱分解调谐体技术用于薄储层厚度定量研究,其对薄储层厚度预测精度与地震反演的储层厚度预测精度相当,能够客观地揭示薄储层厚度变化特征,同时具有计算速度快,对测井资料依赖程度低等特点,适用于在钻井资料较少探区进行储层预测。
The spectrum-decomposition tuning body technique is technique that transforms the seismic data from time domain to frequency domain by discrete Fourier transform or max entropy and uses amplitude spectrum and phase spectrum to carry out geologic interpretation of seismic data in frequency domain. Using the spectrum-decomposition tuning body technique to quantitatively study the thickness of thin reservoir makes the precision of predicted thickness of thin reservoir be equivalent to that by seismic inversion, which can objectively reveal the changing feature of thin-reservoir thickness and also is characterized by rapid computation and lowly relying on logging data that is suitable to carry out reservoir prediction in the prospecting zone where the drilling data is poorer.
引文
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