岩屑描述的数字化是现代石油录井技术发展的一个趋势,本文提出了一套基于线阵CCD的岩屑识别系统。其中,通过线阵CCD的控制程序设计和它与微距镜头的各项参数调节,确定清晰采集岩屑图像的最佳参数;搭建软件识别系统对图像进行去除背景、提取边缘、特征值提取和分类识别等操作,有效完成对数字化岩屑的岩性识别,从而实现钻井岩屑的现场智能描述。实验数据表明,对细小岩屑的识别准确率达到95%以上,这套系统将有望应用在石油录井现场。
The description of cuttings is an important procedure in oil logging,and the digitization of cuttings′ description is a tendency for modern oil logging.A cuttings recognition system based on a linear CCD combined with a micro lens is introduced in this paper.To obtain clear images,the optimal configuration of the system was determined through designing the control program of linear CCD and adjusting parameters of the CCD and the micro lens.Image processing software was developed with the functions of background-removing,edge-extraction,featureextraction and classification.As such,the digitization of cuttings′ description has been realized.With this developed system,the cuttings′ lithology category has been well described with an average recognition rate about 95%.The obtained results suggest that the digital compact system has great potential to be used in oil field logging.