Hybrid wavelet transform with artificial neural network for forecasting of shear wave velocity from wireline log data: a case study

Shear wave velocity ( V s ) is an important variable for performing geomechanical and geophysical modeling and reservoir studies. Field tests to measure this variable directly are high costs and time consuming. Due to the operational difficulties mentioned above, it is more convenient estimating V s...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Environmental earth sciences 2021, Vol.80 (1), Article 5
Hauptverfasser:	Fattahi, Hadi, Zandy Ilghani, Nastaran
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Biogeosciences Bulk density Compressional wave velocities Earth and Environmental Science Earth Sciences Environmental Science and Engineering Field tests Geochemistry Geology Geomechanics Hydrology/Water Resources Model accuracy Neural networks Original Article Preprocessing Reservoirs S waves Shear wave velocities Terrestrial Pollution Velocity Wave velocity Wavelet transforms
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!