Cuttings transport modeling in underbalanced oil drilling operation using radial basis neural network-Reference-Cited by-同舟云学术

Cuttings transport modeling in underbalanced oil drilling operation using radial basis neural network

Published:2017-06 Issue:2 Volume:26 Page:541-546
ISSN:1110-0621
Container-title:Egyptian Journal of Petroleum
language:en
Short-container-title:Egyptian Journal of Petroleum

Author:

Rooki Reza,Rakhshkhorshid Masoud

Publisher

Elsevier BV

Subject

Organic Chemistry,Process Chemistry and Technology,Geochemistry and Petrology,Fuel Technology,Renewable Energy, Sustainability and the Environment,Catalysis

Reference30 articles.

1. Simple correlations and analysis of cuttings transport with newtonian and non-newtonian fluids in horizontal and deviated wells;Sorgun;ASME J. Energy Resour. Technol.,2013

2. An experimental study of hole cleaning under simulated downhole conditions;Yu,2007

3. T. Nazari, G. Hareland, J.J. Azar, 2010. Reviw of cuttings transport in directional well drilling, systematic approach. SPE 132372, California, USA.

4. Annular frictional pressure losses during drilling— predicting the effect of drillstring rotation;Saasen;ASME J. Energy Resour. Technol.,2014

5. Real-time evaluation of hole cleaning conditions using a transient cuttings transport model;Cayeux;SPE Drill. Complet.,2014

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dimensionless Data-Driven Model for Cuttings Concentration Prediction in Eccentric Annuli: Statistical and Parametric Approach;Arabian Journal for Science and Engineering;2024-01-28

2. Prediction of Cutting Concentration in Horizontal wells for Different well Inclination Sections;Chemistry and Technology of Fuels and Oils;2023-11

3. Variable interaction empirical relationships and machine learning provide complementary insight to experimental horizontal wellbore cleaning results;Advances in Geo-Energy Research;2023-09-13

4. Multiphase Flow Systems and Potential of Machine Learning Approaches in Cutting Transport and Liquid Loading Scenarios;Machine Learning and Flow Assurance in Oil and Gas Production;2023

5. Cuttings Bed Height Prediction in Microhole Horizontal Wells with Artificial Intelligence Models;Energies;2022-11-10