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Eight casing failure modes and 32 risk factors in oil and gas wells are given in this paper. According to the quantitative analysis of the infl uence degree and occurrence probability of risk factors, the Borda counts for failure modes are obtained with the Borda method. The risk indexes of failure modes are derived from the Borda matrix. Based on the support vector machine (SVM), a casing life prediction model is established. In the prediction model, eight risk indexes are defi ned as inputdoi:10.1007/s12182-010-0087-8 fatcat:4dtfgqtxsfdd7eqbzso46bulsq