Hybrid machine learning for pullback force forecasting during horizontal directional drilling-Reference-Cited by-同舟云学术

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Hybrid machine learning for pullback force forecasting during horizontal directional drilling

Published:2021-09 Issue: Volume:129 Page:103810
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Lu Hongfang,Iseley Tom,Matthews John,Liao Wei

Funder

Fundamental Research Funds for the Central Universities

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference44 articles.

1. Trenchless construction technologies for oil and gas pipelines: state-of-the-art review;Lu;J. Const. Eng. Manage.,2020

2. Near real-time HDD pullback force prediction model based on improved radial basis function neural networks;Lu;J. Pipeline Syst. Eng. Pract.,2020

3. Determination of pipe pullback loads in horizontal directional drilling using an advanced computational dynamic model;Yang;J. Eng. Mech.,2014

4. Mechanical modelling for pipes in horizontal directional drilling;Polak;Tunn. Undergr. Space Technol.,2001

5. Horizontal directional drilling pulling forces prediction methods–a critical review;Cai;Tunn. Undergr. Space Technol.,2017

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