Centre d'Etude et De Recherche en Informatique et Communications (EA4629) |
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Use of neural networks in log's data processing: prediction and rebuilding of lithologic facies
[FTB00] Use of neural networks in log's data processing: prediction and rebuilding of lithologic facies
Conférence Internationale avec comité de lecture : Petrophysics meets Geophysics, Paris, 2000., January 2000,
motcle:
Résumé:
When a log is missing in a drilling hole, geologists hope to deduce it
from others logs available in another part of the hole or in a
neighbouring hole, in order to define the lithologic facies of the hole.
This paper presents a neural network method to predict the missing log's
measure from the other available log's measures. This method, based on
Multi-Layer Perceptron (MLP) acts as a non linear regression method for
the prediction task and as a probability density distribution
approximation for the outlier rejection task. The result obtained when
applied to actual log's data for prediction and rejection are presented
in a separate section. The last section is dedicated to a non supervised
neural method in order to reconstruct the lithologic facies of the
concerned hole. This last experiment allows to validate and interpret
the different results of the proposed methods.
| @inproceedings { | |||
| FTB00, | |||
| title | = | "{Use of neural networks in log's data processing: prediction and rebuilding of lithologic facies }", | |
| author | = | " D. Frayssinet and S. Thiria and F. Badran and L. Briqueu ", | |
| booktitle | = | "{Petrophysics meets Geophysics, Paris, 2000.}", | |
| year | = | 2000, | |
| month | = | "January", | |
| } | |||
Agenda
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ContactsCNAM-CEDRIC ENSIIE-CEDRIC |