Lithology Identification Methods Contrast Based on Support Vector Machines at Different Well Logging Parameters Set

摘要

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 parameters set was collected, joining with SVM, lithology identification was fulfilled, after that, to selecting the best well logging parameters set that suitable to used on lithology identification according to error minimum principle through contrasting the results. Results show that two of three different parameters set indicated the error minimum characteristic on the process, those are curve superposition value and curve characteristic value, the parameters sets of curve superposition value and curve characteristic value methods can be the preferable fundamental data to be used on lithology identification from well logging.