Evaluation of the Effects of Geomechanical Parameters on Drilling Rate Using MLP-PSO Algorithm

پديدآورندگان

Ahmad Ramezanzadeh , Behzad Tokhmechi

كليدواژه

Drilling rate prediction , Geomechanical parameters , Neural network , Bourgoyne and Young drilling rate model , @

كشور

ايران

نويسنده

Mohammad Anemangely

كلمات كليدي

Drilling rate prediction Geomechanical parameters Neural network Bourgoyne and Young drilling rate model @

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