摘要
利用蚁群聚类算法及蚁群边缘提取算法针对FMI成像测井数据进行裂缝的识别和提取,在传统的蚁群算法基础上进行了一些改进,使得算法稳定性更好,更能适应于实际图像处理,结合HOUGH变换,对松南气田实际成像测井资料进行处理,拾取裂缝效果良好。
The paper mainly introduce fracture recognization and extraction by FMI image processing. Cluster algorithm and edge detecting algorithm based on ant colony algorithm are brought in and improved. The actual FMI images from Songnan gas reservoir were processed and the results proved that the algorithm is stable and pratical for the actual oilfield production.
出处
《电子测量技术》
2015年第4期55-57,共3页
Electronic Measurement Technology
关键词
蚁群算法
成像测井
裂缝识别
裂缝提取
聚类算法
ant colony algorithm
image iogging
fracture recognization
fracture extraction
cluster algorithm
