1. Separating Well Log Data to Train Support Vector Machines for Lithology Prediction in a Heterogeneous Carbonate Reservoir

Mohammad Ali Sebtosheikh; Reza Motafakkerfard; Mohammad Ali Riahi; Siyamak Moradi

Volume 4, Issue 2 , Spring 2015, , Pages 1-14


  The prediction of lithology is necessary in all areas of petroleum engineering. This means that to design a project in any branch of petroleum engineering, the lithology must be well known. Support vector machines (SVM’s) use an analytical approach to classification based on statistical learning ...  Read More