THERMAL SCIENCE

International Scientific Journal

Mingzhu Chen

,

Zihao Liu

,

Peng Gao

,

Cordelia Palihati

,

Xianzhi Song

,

Zhen Li

,

Zhaopeng Zhu

INTELLIGENT OPTIMIZATION METHOD OF SCREW DRILL ASSEMBLY BASED ON BOREHOLE TRAJECTORY PREDICTION

ABSTRACT
This study constructs an intelligent wellbore trajectory prediction and BHA optimization process, which ensures efficient optimization of the BHA on the premise of high wellbore trajectory prediction accuracy, the MAE of deviation and azimuth angles of the borehole trajectory model was 0.35° and 0.55°. The optimized BHA can effectively improve the deflection effect. It also has obvious advantages in calculation efficiency and can provide effective guidance and theoretical support for on-site BHA optimization.
KEYWORDS
Wellbore trajectory prediction, BHA, Screw drill assembly, Intelligent optimization, sensitivity analysis
PAPER SUBMITTED: 2023-07-11
PAPER REVISED: 2023-08-13
PAPER ACCEPTED: 2023-11-19
PUBLISHED ONLINE: 2024-02-18
DOI REFERENCE: https://doi.org/10.2298/TSCI230711027C
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2024, VOLUME 28, ISSUE Issue 2, PAGES [1073 - 1078]
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Intelligent optimization method of screw drill assembly based on borehole trajectory prediction

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence