基于广义时频分析的储集层裂缝信息提取方法及应用

项目名称： 基于广义时频分析的储集层裂缝信息提取方法及应用

项目编号： No.40874059

项目类型： 面上项目

立项/批准年度： 2009

项目学科： 电工技术

项目作者： 王祝文

作者单位： 吉林大学

项目金额： 40万元

中文摘要： 阵列声波测井信号蕴涵着大量的有用信息，包括岩性、裂缝、孔隙、各向异性等。在实际生产中，只利用了时间域和频率域的部分信息，对于储集层裂缝性质的时频特征研究涉及不多，大量信息远远没有被充分有效利用。本项目利用广义的时频分析方法，克服以前一直沿用平稳信号的处理方法所存在的漏失大量有用信号的不足，把一维波列信号以二维的形式表示出来，揭示信号的频率及相位特征等随时间的变化情况，既能总体上把握信号，又能深入到信号局部中分析信号的非平稳性，能提取出更多的特征信息，这是单纯的时域分析或频域分析都办不到的；通过挖掘声波测井信号时频信息，并将其特征参数用于实际测井资料的处理分析和地层评价，采用更为客观的评价方法来研究声场参数与地层各向异性、裂缝构造之间的内在联系，充分利用所获取的波列信息，为油气储层评价提供更为准确的依据。

中文关键词： 时频分析；信息提取；阵列声波测井；油气储层；裂缝

英文摘要： There is a great amount of information, such as lithology, fracture, porosity and anisotropy, etc. were embedded in the array acoustic logging signal. In practice, just part of the information in time domain and frequency domain was used, but a few of research on time-frequency characteristics of the reservoir fracture properties were implemented, a lot of information had not made full utilization effectively. This research program is planning to make use of generalized time-frequency analysis method to overcome the insufficients of the stationary signal processing method losing some useful information, to display the 1D waveform signal with the form of 2D, try to probe the variation of the signal frequency and phase characteristics with time. This not only can grasping the signal in globe, and also can analyzing the non-stationary properties inside the signal, and this can extracting more character information. This is different to pute time domain or frequency domain analysis. By digging the time-frequency information out in the array acoustic logging signals and applying their characteristics parameters into the real logging data processing and formation evaluation, use more objectively evaluation method to study the relationship among sound-field parameters, formation anisotropy and structural fractures. Making full utilization of the obtained waveform information, this research program tried to providing more accurate basis for reservoir evaluation.

英文关键词： time-frequency analysis;imformation extration;Array Acoustic Logging;oil formation;fracture