Along with the production of the oil well, the casing damage has become more and more serious, which seriously affects the oil wells production, even resulting in the oil wells abandonment. The oil well casing damage usually occurs in the deep downhole place, and the imaging quality is generally low due to the complexity of downhole and the limitation of test equipment itself, it is difficult to identify the shape and parameter of the casing failure; therefore, how to accurately obtain the information of damaged parts becomes a big difficulty. Digital processing, image segmentation and edge tracing are carried out for the casing image by using image processing techniques. The physical dimension of the material object in the image is obtained by applying the image-forming principle, achieving the quantitative interpretation to the surface condition inside of the casing. The image recognition technology not only can quickly find the damaged parts but also can give the corresponding information for the damaged casing. In this paper, the image recognition technology of casing damages introduced.
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