Use of neural networks in log's data processing: prediction and rebuilding of lithologic facies
| Autor: | Frayssinet, Dominique, Thiria, Sylvie, Badran, Fouad, Briqueu, L. |
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| Přispěvatelé: | Laboratoire d'océanographie dynamique et de climatologie (LODYC), Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Centre d'études et de recherche en informatique et communications (CEDRIC), Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM), Unité de recherche Phytopharmacie et Médiateurs Chimiques (UPMC), Institut National de la Recherche Agronomique (INRA) |
| Jazyk: | angličtina |
| Rok vydání: | 2000 |
| Předmět: | |
| Zdroj: | Petrophysics meets Geophysics, Paris, 2000. Petrophysics meets Geophysics, Paris, 2000., Jan 2000, Paris, France Petrophysics meets Geophysics, Paris, 2000., Jan 2000, X, France |
| Popis: | When a log is missing in a drilling hole, geologists hope to deduce itfrom others logs available in another part of the hole or in aneighbouring hole, in order to define the lithologic facies of the hole.This paper presents a neural network method to predict the missing log'smeasure from the other available log's measures. This method, based onMulti-Layer Perceptron (MLP) acts as a non linear regression method forthe prediction task and as a probability density distributionapproximation for the outlier rejection task. The result obtained whenapplied to actual log's data for prediction and rejection are presentedin a separate section. The last section is dedicated to a non supervisedneural method in order to reconstruct the lithologic facies of theconcerned hole. This last experiment allows to validate and interpretthe different results of the proposed methods. |
| Databáze: | OpenAIRE |
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