Total organic carbon prediction in shale gas reservoirs from well logs data using the multilayer perceptron neural network with levenberg marquardt training algorithm : application to barnett shale

dc.contributor.authorOuadfeul, Sid-Ali
dc.contributor.authorAliouane, Leila
dc.date.accessioned2015-11-15T09:56:13Z
dc.date.available2015-11-15T09:56:13Z
dc.date.issued2015
dc.identifier.issn13198025
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/2430
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofseriesArabian Journal for Science and Engineering/ Vol.40, N°11 (2015);pp. 3345-3349
dc.subjectLevenberg Marquardten_US
dc.subjectMLPen_US
dc.subjectNeural networken_US
dc.subjectPredictionen_US
dc.subjectTOCen_US
dc.titleTotal organic carbon prediction in shale gas reservoirs from well logs data using the multilayer perceptron neural network with levenberg marquardt training algorithm : application to barnett shaleen_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Total Organic Carbon Prediction in Shale Gas Reservoirs from Well Logs Data Using the Multilayer Perceptron Neural Network with Levenberg Marquardt Training Algorithm.pdf
Size:
25.53 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: