Lithology identification methods contrast based on support vector machines at different well logging parameter

To finding the suitable well logging parameter set can use lithology identification through collecting the different well logging parameter set and contrasting the lithology identification results based on one against all support vector machines (SVM) and collected parameter set from well logging. Based on the coring well and well logging data, according to three methods, including M-N value, curve superposition and curve characteristic value, which are often be used on lithology identification, three different well logging curve parameter sets were collected, joining with SVM, lithology identification was fulfilled, after that, to selecting the best well logging parameter set that suitable to used on lithology identification according to error minimum principle through contrasting the results.Two of three different parameter sets indicated the error minimum characteristic on the process, those are curve superposition value and curve characteristic value.The parameter sets of curve superposition value and curve characteristic value methods can be the preferable fundamental data to used on lithology identification from well logging.