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谱分解技术在营尔凹陷长沙岭地区薄储层预测中的应用 被引量:14

Spectrum decomposition application in thin-reservoir prediction in Changshaling belt,Yinger Depression
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摘要 谱分解技术就是通过对地震道进行特定的数学变换,形成相应的地震数据体(调谐体和共频体),通过调谐体和共频体的处理解释实现对特定地质目标的地质解释。本文针对营尔凹陷长沙岭构造带下沟组上段砂岩储层特点,采用谱分解薄层识别技术进行储层预测。实际应用时,利用沿层调谐体,确定了薄砂层调谐频率范围;利用共频体对薄层进行检测,预测了砂泥岩互层发育的三角洲、扇三角洲前缘砂体分布范围,预测结果与实际钻探情况较为吻合。 Spectral decomposition provides a novel means of utilizing seismic data and discrete Fourier transform(DFT) for imaging and mapping temporal bed thickness and geological discontinuities over large 3D seismic surveys.By transforming seismic data into frequency domain,processing and interpreting the tuning cube indicate lateral geologic discontinuities.This paper introduces reservoir prediction on upper Xiagou in Changshaling belt,Yinger depression with spectral decomposition.The frequency tuning range of thin sand is confirmed by tuning cube along the horizons.Delta sand body distribution and fan delta front sand body distribution are predicted to identify thin beds in practice and the predicted results coincide with the actual drilling data.Practical application results show spectral decomposition techniques are more accurate for thin sand bodies than the traditional full-band reservoir prediction.
出处 《石油地球物理勘探》 EI CSCD 北大核心 2011年第A01期72-75,163+169-170,共4页 Oil Geophysical Prospecting
关键词 谱分解 调谐体 共频体 薄砂体 spectral decomposition tuning cube common frequency data thin sand body
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