Geomechanical parameter estimation from mechanical specific energy using artificial intelligence-Reference-Cited by-同舟云学术

Geomechanical parameter estimation from mechanical specific energy using artificial intelligence

Published:2019-04 Issue: Volume:175 Page:407-429
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Anemangely Mohammad,Ramezanzadeh Ahmad,Mohammadi Behboud Mohammad

Funder

National Iranian South Oil Company

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference44 articles.

1. Real-time monitoring of mechanical specific energy and bit wear using control engineering systems;Al-Sudani;J. Petrol. Sci. Eng.,2017

2. Neural networks: a new tool for the petroleum industry?;Ali,1994

3. Shear wave travel time estimation from petrophysical logs using ANFIS-PSO algorithm: a case study from Ab-Teymour Oilfield;Anemangely;J. Nat. Gas Sci. Eng.,2017

4. Determination of constant coefficients of bourgoyne and Young drilling rate model using a novel evolutionary algorithm;Anemangely;J. Min. Environ.,2017

5. Safe Mud weight window determination using log based methodology;Anemangely,2017

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