A Cutting Recognition Algorithm Based on Support Vector Machine and Texture
Xiaohai He · Journal of Petrochemical Universities · 2009
In the cutting logging process,how to recognize the cuttings automatically,quickly and correctly is very important.A cutting recognition algorithm based on Gabor filter and SVM was proposed to resolve this problem.The algorithm used Gabor filter to get the cuttings' features.Then the features were used to train the support vector machine classifier and the cuttings were classified by using the trained support vector machine.Using the algorithm,after logged 4 wells of Luodai gas reservoir,a high recognition rate can be reached at 90%.The experimental results demonstrate the algorithm is feasible,robust and applicable.