Coalbed Methane Production Parameter Prediction and Uncertainty Analysis of Coalbed Methane Reservoir with Artificial Neural Networks

2018 ◽  
Author(s):  
Harry Ramadhan Sumardi
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Uncertainty Analysis ◽  
Methane Production ◽  
Coalbed Methane ◽  
Production Parameter ◽  
Coalbed Methane Reservoir ◽  
Artificial Neural ◽  
Coalbed Methane Production ◽  
Parameter Prediction

Uncertainty analysis of streamflow drought forecast using artificial neural networks and Monte-Carlo simulation

2013 ◽  
Vol 34 (4) ◽  
pp. 1169-1180 ◽  
Author(s):  
Majid Dehghani ◽  
Bahram Saghafian ◽  
Farzin Nasiri Saleh ◽  
Ashkan Farokhnia ◽  
Roohollah Noori
Keyword(s):  
Neural Networks ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Artificial Neural Networks ◽  
Uncertainty Analysis ◽  
Artificial Neural

2D electromagnetic inversion using ANN solver for three–layer model with wall

2020 ◽  
Author(s):  
Anna S. Astrakova ◽  
◽  
Dmitry Yu. Kushnir ◽  
Nikolay N. Velker ◽  
Gleb V. Dyatlov ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Uncertainty Analysis ◽  
Computation Time ◽  
Model Parameters ◽  
Layer Model ◽  
Artificial Neural ◽  
Reconstructed Model

We propose an approach to inversion of induction LWD measurements based on calculation of the synthetic signals by artificial neural networks (ANN) specially trained on some database. The database for ANN training is generated by means of the proprietary 2D solver Pie2d. Validation of the proposed approach and estimation of computation time is performed for the problem of reconstruction of the three–layer model with a wall. Also, we make uncertainty analysis for the reconstructed model parameters for two tool configurations.

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