Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Anna Maria Lyne"'
Publikováno v:
SPE Reservoir Evaluation & Engineering. 10:563-570
Summary Two techniques of preprocessing data from core plugs have been investigated to enhance the quality of synthetic permeability estimation from conventional logs by use of artificial neural networks (ANNs). A first technique consists of "cleanin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63789a60942a09ca0c0c09ce0b5efd5a
https://doi.org/10.2118/100748-pa
https://doi.org/10.2118/100748-pa
Autor:
Marco Cesaro, Franco Fonnesu, Anna Maria Lyne, Ilario Franco, Sandro Tommi, Livio Ruvo, Mirko Calderoni
Publikováno v:
IPTC 2008: International Petroleum Technology Conference.
Abstract Core data and logs - wireline and while-drilling - were processed and integrated with a sedimentological model to provide consistent log-facies classification and petrophysical characterization as input to a 3D geological model of an off-sho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4793b6c90d4af5f7691d90abfa582a39
https://doi.org/10.3997/2214-4609-pdb.148.iptc12444
https://doi.org/10.3997/2214-4609-pdb.148.iptc12444
Publikováno v:
All Days.
Two techniques of preprocessing data from core plugs have been investigated to enhance the quality of synthetic permeability estimation from conventional logs using Artificial Neural Networks (ANNs). A first technique consists of ‘cleaning’ the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07abd29b0106d6a7d19e896a63b5ddcf
https://doi.org/10.2118/100748-ms
https://doi.org/10.2118/100748-ms