Estimation of shale volume from well logging data using Artificial Neural Network

The existence of shale has a major effect on reservoir quality because it reduces the rock’s both porosity and permeability. There are several types shale, they can be distributed in sand four different ways: laminated, structural, dispersed, or any combination these. Each them various features physical properties. Therefore, volume estimation is one most important challengin tasks to solved information evaluation. many equations proposed calculate from Gamma - ray log; however, none could considered best method that applied all case studies. This study aims propose new approach estimate well logging data. other logs were used as input data for an artificial neural network (ANN) predict volume. We apply this technique 1143 set ocean drilling program (ODP) East Sea. authors compared result core recognized utilization ANN gives better than conventional methods (more accurate reflect trend actual volume).