摘要
高分辨率声波测井对于划分薄油气储层具有重要作用。为解决通过增加声波接收探头提高常规声波测井仪器分辨率这种方法带来的工作模式复杂、投入成本高等问题,根据信号稀疏表示理论,在分析常规声波响应信号采集原理的基础上,构建相应的信号稀疏变换矩阵,在实际测量值构成的观测矩阵的约束下,采用基追踪优化算法,求解稀疏表示系数,得到反映原始薄地层的高分辨率声波测井信号。地层模型仿真与SL油田4口井实际资料处理的结果表明,高分辨率声波信号与地层模型的平均误差为2.41%,且与裸眼井微电极曲线具有良好的薄层对应性。同时,将软件算法植入SL6000型的地面数据采集处理DSP模块,形成新的高分辨率常规声波测井系统。结果表明,此方法较传统方法在不添加任何硬件装置的情况下,同样具备较强的薄层分辨能力,因此具备更大的推广应用价值。
High resolution conventional acoustic logging plays an important role in dividing thin oil and gas reservoirs.In order to solve the problems of complex working mode and high investment cost caused by increasing resolution of conventional acoustic logging instrument by adding acoustic receiving probe, according to the signal sparse representation theory, based on the analysis of the conventional acoustic response signal acquisition principle, the corresponding signal sparse transformation matrix is constructed.Under the constraint of the observation matrix composed of the actual measured values, the basis pursuit optimization algorithm is used to solve the sparse representation coefficient to obtain the high-resolution acoustic logging signal reflecting the original thin formation.The experimental results of formation model simulation and actual data processing of 4 wells in SL oilfield show that the average error between high-resolution acoustic signal and formation model is 2.41%,and it has good thin-layer correspondence with the microelectrode curve of open hole wells.At the same time, the software algorithm is implanted into the SL6000 surface data acquisition and processing DSP module to form a new high-resolution conventional acoustic logging system.The results show that this method also has stronger thin-layer resolution than the traditional method without adding any hardware device, so it has greater popularization and application value.
作者
刘博达
周荣波
郭绍生
田卫
苏卓超
罗明和
LIU Bo-da;ZHOU Rong-bo;GUO Shao-sheng;TIAN Wei;SU Zhuo-chao;LUO Ming-he(Production Logging Center,China National Logging Corporation,Xi'an 710200,China;Changqing Branch of CNPC Logging Co.,Ltd.,Xi'an 710200,China;Huabei Branch of CNPC Logging Co.,Ltd.,Renqiu 062550,China)
出处
《测控技术》
2022年第4期83-88,95,共7页
Measurement & Control Technology
关键词
常规声波测井
信号稀疏表示
高分辨处理
测井地面数据处理
conventional acoustic logging
signal sparse representation
high resolution processing
logging surface data processing