Výsledky vyhledávání - "Hassan M. Sbiga"

Prediction of Resistivity Index by Use of Neural Networks With Different Combinations of Wireline Logs and Minimal Core Data

Autor: David K. Potter, Hassan M. Sbiga

Publikováno v: SPE Reservoir Evaluation & Engineering. 20:240-250

Summary The measurement of special-core-analysis (SCAL) parameters in the laboratory can be a very time-consuming and costly process. The purpose of the present study was to see whether neural networks could be applied to predict a SCAL parameter, su

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0f3a4dc2de78df9967f94eb73ac95e22
https://doi.org/10.2118/181751-pa

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