An important application of spectral decomposition(SD)is to identify subsurface geological anomalies such as channels and karst caves,which may be buried in full-band seismic data.However,the classical SD methods incl...An important application of spectral decomposition(SD)is to identify subsurface geological anomalies such as channels and karst caves,which may be buried in full-band seismic data.However,the classical SD methods including the wavelet transform(WT)are often limited by relatively low time-frequency resolution,which is responsible for false high horizonassociated space resolution probably indicating more geological structures,especially when close geological anomalies exist.To address this issue,we impose a constraint of minimizing an lp(0<p<1)norm of time-frequency spectral coefficients on the misfit derived by using the inverse WT and apply the generalized iterated shrinkage algorithm to invert for the optimal coefficients.Compared with the WT and inverse SD(ISD)using a typical l1-norm constraint,the modified ISD(MISD)using an lp-norm constraint can yield a more compact spectrum contributing to detect the distributions of close geological features.We design a 3 D synthetic dataset involving frequency-close thin geological anomalies and the other3 D non-stationary dataset involving time-close anomalies to demonstrate the effectiveness of MISD.The application of 4 D spectrum on a 3 D real dataset with an area of approximately 230 km2 illustrates its potential for detecting deep channels and the karst slope fracture zone.展开更多
叠前地震反演在储层预测与流体识别中起到了非常重要的作用,但常规振幅随角度变化(Amplitude Variation with Angle,AVA)三参数反演结果由于分辨率的限制已满足不了隐蔽油气藏勘探的高精度要求。为此,提出了一种综合利用隐含在叠前地震...叠前地震反演在储层预测与流体识别中起到了非常重要的作用,但常规振幅随角度变化(Amplitude Variation with Angle,AVA)三参数反演结果由于分辨率的限制已满足不了隐蔽油气藏勘探的高精度要求。为此,提出了一种综合利用隐含在叠前地震道集中的AVA信息与振幅随频率变化(Amplitude Variation with Frequency,AVF)信息的AVA多频信息同时反演的方法。首先对各入射角地震道集进行谱分解,得到振幅随角度和频率变化(Amplitude Variation with Angle and Frequency,AVAF)三维数据体,然后利用该数据体进行AVA多频信息同时反演,得到高分辨率的岩性参数反演结果。模型和实际资料应用结果表明,叠前AVA多频信息同时反演结果比常规AVA反演具有更高的分辨率,能更精细地刻画砂泥岩薄互层等隐蔽油气藏。展开更多
基金financially supported by the National Key R&D Program of China(2018YFA0702504)the Fundamental Research Funds for the Central Universities(2462019QNXZ03)+2 种基金the Scientific Research and Technology Development Project of China National Petroleum Corporation(2017D-3504)the Major Scientific Research Program of Petrochina Science and Technology Management Department"Comprehensive Seismic Prediction Technology and Software Development of Natural Gas"(2019B-0607)the National Science and Technology Major Project(2017ZX05005-004)。
文摘An important application of spectral decomposition(SD)is to identify subsurface geological anomalies such as channels and karst caves,which may be buried in full-band seismic data.However,the classical SD methods including the wavelet transform(WT)are often limited by relatively low time-frequency resolution,which is responsible for false high horizonassociated space resolution probably indicating more geological structures,especially when close geological anomalies exist.To address this issue,we impose a constraint of minimizing an lp(0<p<1)norm of time-frequency spectral coefficients on the misfit derived by using the inverse WT and apply the generalized iterated shrinkage algorithm to invert for the optimal coefficients.Compared with the WT and inverse SD(ISD)using a typical l1-norm constraint,the modified ISD(MISD)using an lp-norm constraint can yield a more compact spectrum contributing to detect the distributions of close geological features.We design a 3 D synthetic dataset involving frequency-close thin geological anomalies and the other3 D non-stationary dataset involving time-close anomalies to demonstrate the effectiveness of MISD.The application of 4 D spectrum on a 3 D real dataset with an area of approximately 230 km2 illustrates its potential for detecting deep channels and the karst slope fracture zone.
文摘叠前地震反演在储层预测与流体识别中起到了非常重要的作用,但常规振幅随角度变化(Amplitude Variation with Angle,AVA)三参数反演结果由于分辨率的限制已满足不了隐蔽油气藏勘探的高精度要求。为此,提出了一种综合利用隐含在叠前地震道集中的AVA信息与振幅随频率变化(Amplitude Variation with Frequency,AVF)信息的AVA多频信息同时反演的方法。首先对各入射角地震道集进行谱分解,得到振幅随角度和频率变化(Amplitude Variation with Angle and Frequency,AVAF)三维数据体,然后利用该数据体进行AVA多频信息同时反演,得到高分辨率的岩性参数反演结果。模型和实际资料应用结果表明,叠前AVA多频信息同时反演结果比常规AVA反演具有更高的分辨率,能更精细地刻画砂泥岩薄互层等隐蔽油气藏。
