EMPIRICAL VALIDATION OF THE PROPERTY ESTIMATION OF THE SEISMIC DATA USING PROBABILISTIC NEURAL NETWORK
</i><b>Abstract: </b><p align="justify"><i> Interpreters increasingly rely on neural network methods to predict reservoir properties at locations far from existing wells. When it is done in a field with scarce well control the validity of the method becomes in...
Saved in:
Main Author: | Widyantoro (NIM. 220 05 023), Adi |
---|---|
Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/5650 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
EMPIRICAL VALIDATION OF THE PROPERTY ESTIMATION OF THE SEISMIC DATA USING PROBABILISTIC NEURAL NETWORK
by: Widyantoro, Adi -
Probabilistic seismic loss estimation by stochastic simulation algorithms
by: Cheung, Sai Hung, et al.
Published: (2014) -
Pattern classification of overlapping data using probabilistic neural network
by: Roy Irawan
Published: (2011) -
Probabilistic neural-logic networks
by: Teh, H.H., et al.
Published: (2014) -
Structural damage detection by integrating data fusion and probabilistic neural network
by: Jiang, S.-F., et al.
Published: (2014)