【摘要】 声测井资料和地震资料在纵向上尺度差异较大,因此实现二者的尺度匹配是声测井资料标定地震资料的前提。针对常规井震资料尺度匹配过程中可能会丢失声测井数据局部信息的缺点,在深时转换前采用最小速度差以及最小厚度原理对声测井数据进行精细分层处理:首先采用变时窗的中值滤波对声测井资料进行预处理,降低噪声的影响;然后根据最小速度差以及最小厚度原理对声测井资料进行分层,分层参数最小速度差由目的层的具体情况决定,最小厚度则由地震采样间隔以及最小单层双程旅行时决定;最后把分层后的声测井曲线进行深时转换,并按地震采样间隔进行重采样。对实际的声测井资料处理表明,该方法在保留声测井数据的局部信息上具有一定优势,为提高井震标定精度奠定了基础。更多还原

【Abstract】 There is a big scale difference between acoustic log data and seismic data in vertical,therefore,the comparison of synthetic seismogram and seismic data at well is on the premise of achieving scale matching.The conventional method for scale matching between acoustic log data and seismic data may result in losing the local information of acoustic log data.Aiming at the deficiencies of the conventional method,we employ the principle of minimum speed deviation and minimum thickness to stratify acoustic log data before depth-time conversion.Firstly,we employ the median filtering with variable scales windows to preprocess acoustic log data,which can reduce the effect of noise.Secondly,we stratify the acoustic log curve according to the principle of minimum speed deviation and minimum thickness;stratified parameters are determined by the specific objective layer,seismic sampling interval and minimum two-way travel time,respectively.Finally,we transform the stratified acoustic log curve from depth domain to time domain and resample the acoustic log data in time domain according to seismic sampling interval.The model test shows that the method in this paper can remain more thin-layer information than conventional method,and laying the foundation of improving the accuracy of well-seismic calibration.更多还原