Rate of penetration prediction with uncertainty assessment: Case study of a middle-east oil field-Reference-Cited by-同舟云学术

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Rate of penetration prediction with uncertainty assessment: Case study of a middle-east oil field

Published:2024-03 Issue: Volume:21 Page:101793
ISSN:2590-1230
Container-title:Results in Engineering
language:en
Short-container-title:Results in Engineering

Author:

Jalakani Reza^ORCID,Tabatabaee Moradi Seyyed Shahab

Publisher

Elsevier BV

Reference25 articles.

1. A novel dynamic model for the online prediction of rate of penetration and its industrial application to a drilling process;Gan;J. Process Control,2022

2. Computational prediction of the drilling rate of penetration (ROP): a comparison of various machine learning approaches and traditional models;Brenjkar;J. Petrol. Sci. Eng.,2022

3. Real-time predictive capabilities of analytical and machine learning rate of penetration (ROP) models;Soares;J. Petrol. Sci. Eng.,2019

4. An approach for optimization of controllable drilling parameters for motorized bottom hole assembly in a specific formation;Yavari;Results in Engineering,2023

5. Rate of penetration (ROP) optimization in drilling with vibration control;Hegde;J. Nat. Gas Sci. Eng.,2019

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