Full text loading...
-
Nonlinear Petrophysical Inversion with Mixture Density Neural Networks
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 71st EAGE Conference and Exhibition incorporating SPE EUROPEC 2009, Jun 2009, cp-127-00186
- ISBN: 978-90-73781-67-2
Abstract
We extend mixture density neural networks to estimate the a posteriori joint probability density function (PDF) of model parameters in a multi-dimensional inverse problem. We applied this neural network to estimate a posteriori joint PDF of clay content a