In order to obtain stable interval Q factor, by analyzing the spectrum of monitoring wavelet and down-going wavelet of zero-offset VSP data and referring the spectrum expression of Ricker wavelet, we propose a new exp...In order to obtain stable interval Q factor, by analyzing the spectrum of monitoring wavelet and down-going wavelet of zero-offset VSP data and referring the spectrum expression of Ricker wavelet, we propose a new expression of source wavelet spectrum. Basing on the new expression, we present improved amplitude spectral fitting and spectral ratio methods for interval Q inversion based on zero-offset VSP data, and the sequence for processing the zero-offset VSP data. Subsequently, we apply the proposed methods to real zero-offset VSP data, and carry out prestack inverse Q filtering to zero-offset VSP data and surface seismic data for amplitude compensation with the estimated Q value.展开更多
Highly precise acoustic impedance inversion is a key technology for pre-drilling prediction by VSP data. In this paper, based on the facts that VSP data has high resolution, high signal to noise ratio, and the downgoi...Highly precise acoustic impedance inversion is a key technology for pre-drilling prediction by VSP data. In this paper, based on the facts that VSP data has high resolution, high signal to noise ratio, and the downgoing and upgoing waves can be accurately separated, we propose a method of predicting the impedance below the borehole in front of the bit using VSP data. First, the method of nonlinear iterative inversion is adopted to invert for impedance using the VSP corridor stack. Then, by modifying the damping factor in the iteration and using the preconditioned conjugate gradient method to solve the equations, the stability and convergence of the inversion results can be enhanced. The results of theoretical models and actual data demonstrate that the method is effective for pre-drilling prediction using VSP data.展开更多
INTRODUCTION The optical-fiber distributed acoustic sensing-vertical seismic profiling(DAS-VSP)acquisition system can record seismic data in wells continuously,thus providing several advantages such as dense spatial s...INTRODUCTION The optical-fiber distributed acoustic sensing-vertical seismic profiling(DAS-VSP)acquisition system can record seismic data in wells continuously,thus providing several advantages such as dense spatial sampling,high signal-to-noise ratio,high acoustic sensitivity,and broad bandwidth(Ellmauthaler et al.,2021;Spikes et al.,2019).展开更多
当地震波在地层中传播时,能量的衰减是传播介质非弹性性质的反映.这种介质所固有的衰减特性通常用品质因子(Quality Factor,Q)来描述.本文基于地震波在传播过程中主频降低的衰减特性,利用质心频率偏移法(Centrold Frequency Shift,简称C...当地震波在地层中传播时,能量的衰减是传播介质非弹性性质的反映.这种介质所固有的衰减特性通常用品质因子(Quality Factor,Q)来描述.本文基于地震波在传播过程中主频降低的衰减特性,利用质心频率偏移法(Centrold Frequency Shift,简称CFS)对零偏VSP正演模型进行Q值计算,分析薄层、上下行波场、频带宽度、反演波速、震源位置等因素的影响.模型结果显示:CFS法比频谱比法、振幅衰减法能更加准确识别薄层界面,可准确反演出厚度10m的地层;上行波场的加入降低反演结果准确度,尤其对高Q值层;当有效波频带增宽时,高频部分衰减明显,Q值反演结果接近理论值;反演波速误差对反演准确性影响很大.最后,利用CFS对实际井旁地面地震资料进行Q值反演,反Q滤波后其主频由25Hz提高到35Hz,分辨率得到改善,证明了CFS方法的实用性.展开更多
垂直地震剖面(Vertical Seismic Profiling,VSP)资料处理中波场分离是关键问题之一.随着属性提取技术的发展,新的属性参数(例如Q值)提取技术对波场分离的保真性要求越来越高.本文改进了传统奇异值分解(Singular Value Decomposition,SVD...垂直地震剖面(Vertical Seismic Profiling,VSP)资料处理中波场分离是关键问题之一.随着属性提取技术的发展,新的属性参数(例如Q值)提取技术对波场分离的保真性要求越来越高.本文改进了传统奇异值分解(Singular Value Decomposition,SVD)法,给出了一种对波场的动力学特征具有更好的保真性,可以作为Q值提取的预处理步骤的零偏VSP资料上下行波场分离方法.该方法通过两步奇异值分解变换实现:第一步,排齐下行波同相轴,利用SVD变换压制部分下行波能量;第二步,在剩余波场中排齐上行波同相轴,使用SVD变换提取上行波场.在该方法的实现过程中,压制部分下行波能量后的剩余波场中仍然存在较强的下行波干扰,使得上行波同相轴的排齐比较困难.本文给出了一种通过极大化多道数据线性相关程度(Maximize Coherence,MC)排齐同相轴的算法,在一定程度上解决了低信噪比下排齐同相轴的问题.将本文提出的方法用于合成数据和实际资料的处理,并与传统SVD法的处理结果进行对比,结果表明本文提出的波场分离方法具有良好的保真性,得到波场的质量明显优于传统SVD法.通过对本文方法和传统SVD法处理合成数据得到的下行波场提取Q值,然后进行对比可知,本文方法可以有效提高所提取Q值的准确性,适合作为Q值提取的预处理步骤.展开更多
基金sponsored by the National Nature Science Foundation of China(Nos.41174114 and 41274128)
文摘In order to obtain stable interval Q factor, by analyzing the spectrum of monitoring wavelet and down-going wavelet of zero-offset VSP data and referring the spectrum expression of Ricker wavelet, we propose a new expression of source wavelet spectrum. Basing on the new expression, we present improved amplitude spectral fitting and spectral ratio methods for interval Q inversion based on zero-offset VSP data, and the sequence for processing the zero-offset VSP data. Subsequently, we apply the proposed methods to real zero-offset VSP data, and carry out prestack inverse Q filtering to zero-offset VSP data and surface seismic data for amplitude compensation with the estimated Q value.
文摘Highly precise acoustic impedance inversion is a key technology for pre-drilling prediction by VSP data. In this paper, based on the facts that VSP data has high resolution, high signal to noise ratio, and the downgoing and upgoing waves can be accurately separated, we propose a method of predicting the impedance below the borehole in front of the bit using VSP data. First, the method of nonlinear iterative inversion is adopted to invert for impedance using the VSP corridor stack. Then, by modifying the damping factor in the iteration and using the preconditioned conjugate gradient method to solve the equations, the stability and convergence of the inversion results can be enhanced. The results of theoretical models and actual data demonstrate that the method is effective for pre-drilling prediction using VSP data.
基金supported by the Beijing Natural Science Foundation(No.8222030)the National Natural Science Foundation of China(Nos.62127815,42150201)+2 种基金the research project of the China National Petroleum Corporation(No.2021ZG02)sponsored by the Chinese“111”project(No.B20011)supported by the Highperformance Computing Platform of China University of Geosciences Beijing。
文摘INTRODUCTION The optical-fiber distributed acoustic sensing-vertical seismic profiling(DAS-VSP)acquisition system can record seismic data in wells continuously,thus providing several advantages such as dense spatial sampling,high signal-to-noise ratio,high acoustic sensitivity,and broad bandwidth(Ellmauthaler et al.,2021;Spikes et al.,2019).
文摘当地震波在地层中传播时,能量的衰减是传播介质非弹性性质的反映.这种介质所固有的衰减特性通常用品质因子(Quality Factor,Q)来描述.本文基于地震波在传播过程中主频降低的衰减特性,利用质心频率偏移法(Centrold Frequency Shift,简称CFS)对零偏VSP正演模型进行Q值计算,分析薄层、上下行波场、频带宽度、反演波速、震源位置等因素的影响.模型结果显示:CFS法比频谱比法、振幅衰减法能更加准确识别薄层界面,可准确反演出厚度10m的地层;上行波场的加入降低反演结果准确度,尤其对高Q值层;当有效波频带增宽时,高频部分衰减明显,Q值反演结果接近理论值;反演波速误差对反演准确性影响很大.最后,利用CFS对实际井旁地面地震资料进行Q值反演,反Q滤波后其主频由25Hz提高到35Hz,分辨率得到改善,证明了CFS方法的实用性.
