Alizadeh, Mostafa and Junin, Radzuan and Mohsin, Rahmat and Movahed, Zohreh and Alizadeh, Mehdi and Alizadeh, Mohsen (2015) Application of artificial neural networks in fracture characterization and modeling technology. In: 17th International Conference on Mathematical and Computational Methods in Science and Engineering (MACMESE '15), 23-25 April, 2015, Kuala Lumpur, Malaysia.
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Abstract
Fracture characterization and modeling technology can characterize the fractures of naturally fractured reservoirs. In this work, a novel application of Artificial Neural Networks (ANNs) will be introduced which can be used to improve this technology. The new technique by using the feed-forward ANN with backpropagation learning rule can predict the fractures dip inclination degree of the third well using the data from the other two wells nearby. The result obtained showed that the ANNs model can simulate the relationship between fractures dips in these three wells which the multiple R of training and test sets for the ANN model are 0.95099 and 0.912197, respectively.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | neural networks, technology |
| Subjects: | T Technology > TP Chemical technology |
| Divisions: | Petroleum and Renewable Energy Engineering |
| ID Code: | 60765 |
| Deposited By: | Fazli Masari |
| Deposited On: | 28 Feb 2017 01:38 |
| Last Modified: | 02 Aug 2017 08:13 |
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