同步挤压广义S变换在南海油气识别中的应用
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摘要
受窗函数的影响,短时傅里叶变换、小波变换、S变换等传统时频分析方法的分辨率不高.为了提高信号时频变换分辨率,发展了同步挤压小波变换算法;该算法将信号的时频谱值向其中心频率位置挤压,改善了信号时频分析结果,使得信号时频分辨率得到了很大的提升.但由于传统算法时窗固定,处理缺乏灵活性;因此,本文对S变换窗函数进行扩展,提出了同步挤压广义S变换.通过自适应窗函数挤压信号在S域的时频谱值,提高了算法的灵活性和时频分析聚焦能力.运用同步挤压广义S变换对南海某工区实际地震数据进行分频处理,结果显示含油气层能量随着频率的增加而逐渐衰减.因此,使用同步挤压广义S变换对地震数据进行分析处理,不仅可以对储层含油气性进行准确的检测,还可以对地层进行精确的标定.
Influenced by the window function, the resolution of traditional time-frequency analysis methods such as short-time Fourier transform, wavelet transform, and S-transformation is not high. In order to improve the resolution of signal time-frequency transform, a synchronous squeeze wavelet transform algorithm is developed. The algorithm squeezes the time-frequency spectrum value of the signal to its center frequency position, which improves the time-frequency analysis result of the signal, so that the time-frequency resolution of the signal is greatly improved. However, due to the fixed time window of traditional algorithms, the processing lacks flexibility; therefore, this paper extends the S transform window function and proposes a synchronous squeeze generalized S transform. The adaptive window function squeezes the time-frequency spectrum value of the signal in the S-domain, which improves the flexibility of the algorithm and the focusing ability of the time-frequency analysis. Using the synchronous extrusion generalized S transform to Frequency division for seismic data of a certain work area in Nanhai. The results show that the energy of the oil and gas reservoir gradually decreases with the increase of frequency. Therefore, using the synchronous extrusion generalized S transform to analyze and process the seismic data can not only the reservoir oil and gas properties can be accurately detected., but also accurately calibrate the formation.
Influenced by the window function, the resolution of traditional time-frequency analysis methods such as short-time Fourier transform, wavelet transform, and S-transformation is not high. In order to improve the resolution of signal time-frequency transform, a synchronous squeeze wavelet transform algorithm is developed. The algorithm squeezes the time-frequency spectrum value of the signal to its center frequency position, which improves the time-frequency analysis result of the signal, so that the time-frequency resolution of the signal is greatly improved. However, due to the fixed time window of traditional algorithms, the processing lacks flexibility; therefore, this paper extends the S transform window function and proposes a synchronous squeeze generalized S transform. The adaptive window function squeezes the time-frequency spectrum value of the signal in the S-domain, which improves the flexibility of the algorithm and the focusing ability of the time-frequency analysis. Using the synchronous extrusion generalized S transform to Frequency division for seismic data of a certain work area in Nanhai. The results show that the energy of the oil and gas reservoir gradually decreases with the increase of frequency. Therefore, using the synchronous extrusion generalized S transform to analyze and process the seismic data can not only the reservoir oil and gas properties can be accurately detected., but also accurately calibrate the formation.
引文
Chen X H,He Z H,Huang D J,et al.2009.Low frequency shadow detection of gas reservoirs in time-frequency domain [J].Chinese Journal of Geophysics (in Chinese),52(01):215-221.
Chen X H,He Z H,Zhong W L,et al.2011.Numeric Simulation in the Relationship between Low Frequency Shadow and Reservoir Characteristic [J].Journal of China University of Mining & Technology (in Chinese),40(04):584-591.
Daubechies I,Lu J F,Wu H T.2011.Synchrosqueezed wavelet transforms:an empirical mode decomposition-like tool [J].Appl.Comput.Harmon.Anal.,30(2):243-261.
He P,Zhou Y B,Zhu S R.et al.2018.Extraction of Absorption Attenuation Parameters Based on Generalized S Transform [J].Technology Innovation and Application (in Chinese),(03):31-32.
He S.2017.Research and Application of Generalized S Transform in Thin Reservoir Identification [J].China Petroleum and Chemical Standard and Quality (in Chinese),37(01):38-39.
Huang Z L,Zhang J Z.et al.2016.Synchronous Squeezing S Transform [J].Chinese Science:Information Science (in Chinese),46(05):643- 650.
Li B.2015.Synchronous squeeze wavelet transform and its application in thin interbed [Master’s thesis].Qingdao:China University of Petroleum (East China).
Li B,Yue Y X,Wen M M.et al.2017.Application of Synchronous Extrusion Wavelet Transform in Reservoir Prediction [J].Natural Gas Geoscience (in Chinese),28(02):341-348.
Liu H,Zhang J Z,Huang Z L,et al.2017.Time-frequency analysis of seismic signals based on synchronous extrusion S transform [J].Oil Geophysical Prospecting (in Chinese),52(04):689- 695.
Niu C,Liu Z B.2008.Low frequency shadow detection technology based on spectral analysis [J].Offshore oil (in Chinese),28(02):58- 61,67.
Wang Y J,Zhou H L.2015.Research on Dynamic Deconvolution Method in Time-Frequency Domain [J].Journal of Southwest Petroleum University (Natural Science Edition)(in Chinese),37(01):1-10.
Zhang Y J,Wen X T,Cao Q Z,et al.2017.Seismic spectrum decomposition method based on deconvolution synchronous extrusion generalized S transform [A].Geophysical Exploration Committee of China Petroleum Institute.Proceedings of Geophysical Technology Symposium of China Petroleum Institute [C].Geophysical Exploration Committee of China Petroleum Institute.
陈学华,贺振华,黄德济,等.2009.时频域油气储层低频阴影检测[J].地球物理学报,52(01):215-221.
陈学华,贺振华,钟文丽.2011.低频阴影与储层特征关系的数值模拟[J].中国矿业大学学报,40(04):584-591.
何鹏,周钰邦,朱帅润.2018.基于广义S变换的吸收衰减参数提取[J].科技创新与应用,(03):31-32.
何胜.2017.广义S变换在薄储层识别中的研究与应用[J].中国石油和化工标准与质量,37(01):38-39.
黄忠来,张建中.2016 同步挤压S变换[J].中国科学:信息科学,46(05):643- 650.
李斌.2015.同步挤压小波变换及其在薄互层中的应用[硕士论文].青岛:中国石油大学(华东).
李斌,乐友喜,温明明.2017.同步挤压小波变换在储层预测中的应用[J].天然气地球科学,28(02):341-348.
刘晗,张建中,黄忠来.2017 基于同步挤压S变换的地震信号时频分析[J].石油地球物理勘探,52(04):689- 695.
牛聪,刘志斌.2008.基于谱分析的低频阴影检测技术[J].海洋石油,28(02):58- 61,67.
王元君,周怀来.2015.时频域动态反褶积方法研究[J].西南石油大学学报(自然科学版),37(01):1-10.
张懿疆,文晓涛,曹其壮,等.2017.基于反褶积同步挤压广义S变换的地震频谱分解方法 [A].中国石油学会物探专业委员会.中国石油学会2017年物探技术研讨会论文集 [C].中国石油学会物探专业委员会.
Chen X H,He Z H,Zhong W L,et al.2011.Numeric Simulation in the Relationship between Low Frequency Shadow and Reservoir Characteristic [J].Journal of China University of Mining & Technology (in Chinese),40(04):584-591.
Daubechies I,Lu J F,Wu H T.2011.Synchrosqueezed wavelet transforms:an empirical mode decomposition-like tool [J].Appl.Comput.Harmon.Anal.,30(2):243-261.
He P,Zhou Y B,Zhu S R.et al.2018.Extraction of Absorption Attenuation Parameters Based on Generalized S Transform [J].Technology Innovation and Application (in Chinese),(03):31-32.
He S.2017.Research and Application of Generalized S Transform in Thin Reservoir Identification [J].China Petroleum and Chemical Standard and Quality (in Chinese),37(01):38-39.
Huang Z L,Zhang J Z.et al.2016.Synchronous Squeezing S Transform [J].Chinese Science:Information Science (in Chinese),46(05):643- 650.
Li B.2015.Synchronous squeeze wavelet transform and its application in thin interbed [Master’s thesis].Qingdao:China University of Petroleum (East China).
Li B,Yue Y X,Wen M M.et al.2017.Application of Synchronous Extrusion Wavelet Transform in Reservoir Prediction [J].Natural Gas Geoscience (in Chinese),28(02):341-348.
Liu H,Zhang J Z,Huang Z L,et al.2017.Time-frequency analysis of seismic signals based on synchronous extrusion S transform [J].Oil Geophysical Prospecting (in Chinese),52(04):689- 695.
Niu C,Liu Z B.2008.Low frequency shadow detection technology based on spectral analysis [J].Offshore oil (in Chinese),28(02):58- 61,67.
Wang Y J,Zhou H L.2015.Research on Dynamic Deconvolution Method in Time-Frequency Domain [J].Journal of Southwest Petroleum University (Natural Science Edition)(in Chinese),37(01):1-10.
Zhang Y J,Wen X T,Cao Q Z,et al.2017.Seismic spectrum decomposition method based on deconvolution synchronous extrusion generalized S transform [A].Geophysical Exploration Committee of China Petroleum Institute.Proceedings of Geophysical Technology Symposium of China Petroleum Institute [C].Geophysical Exploration Committee of China Petroleum Institute.
陈学华,贺振华,黄德济,等.2009.时频域油气储层低频阴影检测[J].地球物理学报,52(01):215-221.
陈学华,贺振华,钟文丽.2011.低频阴影与储层特征关系的数值模拟[J].中国矿业大学学报,40(04):584-591.
何鹏,周钰邦,朱帅润.2018.基于广义S变换的吸收衰减参数提取[J].科技创新与应用,(03):31-32.
何胜.2017.广义S变换在薄储层识别中的研究与应用[J].中国石油和化工标准与质量,37(01):38-39.
黄忠来,张建中.2016 同步挤压S变换[J].中国科学:信息科学,46(05):643- 650.
李斌.2015.同步挤压小波变换及其在薄互层中的应用[硕士论文].青岛:中国石油大学(华东).
李斌,乐友喜,温明明.2017.同步挤压小波变换在储层预测中的应用[J].天然气地球科学,28(02):341-348.
刘晗,张建中,黄忠来.2017 基于同步挤压S变换的地震信号时频分析[J].石油地球物理勘探,52(04):689- 695.
牛聪,刘志斌.2008.基于谱分析的低频阴影检测技术[J].海洋石油,28(02):58- 61,67.
王元君,周怀来.2015.时频域动态反褶积方法研究[J].西南石油大学学报(自然科学版),37(01):1-10.
张懿疆,文晓涛,曹其壮,等.2017.基于反褶积同步挤压广义S变换的地震频谱分解方法 [A].中国石油学会物探专业委员会.中国石油学会2017年物探技术研讨会论文集 [C].中国石油学会物探专业委员会.