Analysis of rate of penetration (ROP) prediction in drilling using physics-based and data-driven models-Reference-Cited by-同舟云学术

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Analysis of rate of penetration (ROP) prediction in drilling using physics-based and data-driven models

Published:2017-11 Issue: Volume:159 Page:295-306
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Hegde Chiranth,Daigle Hugh,Millwater Harry,Gray Ken

Funder

Wider Windows Industrial Affiliate Program

University of Texas at Austin

Wider Windows sponsors BHP Billiton

British Petroleum

Chevron

ConocoPhillips

Halliburton

Marathon

National Oilwell Varco

Occidental Oil and Gas

Shell

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference21 articles.

1. Investigation of various ROP models and optimization of drilling parameters for PDC and Roller-Cone bits in Shadegan Oil field;Bataee,2010

2. A New Approach for the Prediction of Rate of Penetration (ROP) Values. SPE Eastern Regional Meeting;Bilgesu,1997

3. A new approach to interpreting rock drillability;Bingham;Oil Gas J.,1965

4. Bagging predictors;Breiman;Mach. Learn.,1996

5. Learning classification trees;Buntine;Statistics Comput.,1992

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