A machine learning approach to predict drilling rate using petrophysical and mud logging data-Reference-Cited by-同舟云学术

A machine learning approach to predict drilling rate using petrophysical and mud logging data

Published:2019-03-25 Issue:3 Volume:12 Page:319-339
ISSN:1865-0473
Container-title:Earth Science Informatics
language:en
Short-container-title:Earth Sci Inform

Author:

Sabah Mohammad,Talebkeikhah Mohsen,Wood David A.,Khosravanian Rasool,Anemangely Mohammad,Younesi Alireza

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Link

http://link.springer.com/content/pdf/10.1007/s12145-019-00381-4.pdf

Reference82 articles.

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5. Anemangely M, Ramezanzadeh A, Tokhmechi B (2017) Shear wave travel time estimation from petrophysical logs using ANFIS-PSO algorithm: a case study from Ab-Teymour Oilfield. J Nat Gas Sci Eng 38:373–387

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