Full text loading...
-
Applying Neuro-fuzzy Model to Predict Reservoir Properties from Seismic Attributes – A Case Study in an Oil Field in Iran
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 71st EAGE Conference and Exhibition incorporating SPE EUROPEC 2009, Jun 2009, cp-127-00100
- ISBN: 978-90-73781-67-2
Abstract
We applied neuro-fuzzy model to predict reservoir properties from seismic attributes. We used local linear neuro-fuzzy model tree (LOLIMOT) algorithm to train our model. This model uses well log data and seismic attributes in a well location for training.