火山岩岩性的准确识别有助于建立区域的地质模型,划分火山的旋回,以及进行详细的地层对比。本文对成像测井所获图像资料进行傅立叶变换,构造频谱图,建立灰度共生矩阵并进行图像纹理特征参数的提取。通过选择提取4种火山岩成像测井图像的4种纹理参数达到对图像纹理的均匀性,粗细度,线性关系,平滑性等的描述,并进而分析纹理参数区分岩性的效果,最终能够提取识别能力最强的纹理描述符,并将获得的已知岩性纹理特征参数数据作为对比资料进行未知火山岩岩性的识别。实际的处理结果显示,成像测井图像纹理提取方法在火山岩识别方面效果较为理想。 Accurate identification of volcanic lithology helps to establish regional geological models, divide volcanic cycles, and conduct detailed stratigraphic correlations. In this paper, Fourier transform is applied to the image data obtained from imaging logging, the spectrum is constructed, the gray level co-occurrence matrix is ​​established, and the feature parameters of image texture are extracted. By selecting four texture parameters of four kinds of volcanic imaging logging images to describe the uniformity, thickness, linearity and smoothness of the image texture, and then analyzing the effect of texture parameters on distinguishing lithology, finally, it can extract and identify The strongest texture descriptor, and obtain the known lithology texture feature parameter data as contrast data for the identification of unknown volcanic lithology. The actual processing results show that the imaging log texture extraction method is more effective in volcanic rock identification.