Horizontal directional drilling (HDD) alignment optimization using ant colony optimization

Patino-Ramirez, Fernando; Layhee, Carrie; Arson, Chloé

doi:10.1016/j.tust.2020.103450

Cited by 16 publications

(12 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To find the tip shapes that minimise drag and lift forces during horizontal penetration, we coupled the DEM model with an implementation of ant colony optimisation (ACO), a heuristic algorithm inspired by the behavior of ant colonies. The decision to use ACO was not supported by a review of candidate genetic algorithms for optimization, rather it was based on knowledge that it would enable optimization based on the earlier study [28]. ACO is a genetic algorithm, which sequentially improves the knowledge of the optimisation domain, similar to the way ant colonies explore their habitat to find the best path to nearby resources [9].…”

Section: Tip Shape Optimisationmentioning

confidence: 99%

“…Initially proposed for discrete combinatorial optimization problems, ACO has been modified to solve countless different optimisation problems, from common benchmark problems such as the traveling salesman problem [9], to problems with continuous domains, multi-objective optimisation, among many others [10]. In the following we describe the implementation adopted in this study, which is adapted from [28] and [42].…”

Section: Tip Shape Optimisationmentioning

confidence: 99%

See 1 more Smart Citation

Optimal tip shape for minimum drag and lift during horizontal penetration in granular media

Patino-Ramirez

O’Sullivan

2023

Acta Geotech.

View full text Add to dashboard Cite

Horizontal penetration in granular media is ubiquitous, from tunneling and geotechnical site investigation, to root growth and the locomotion of burrowing animals in nature. This contribution couples the discrete element method (DEM) with ant colony optimisation, a heuristic optimisation algorithm, to find the optimal tip shapes to minimise drag and lift forces during horizontal penetration. The tip which minimizes drag has a slender profile with a low tip curvature, to give a drag force that is $$15.6\%$$ 15.6 % lower compared to a conventional CPT intruder, however this shape induces a downwards force that increases with intruder depth. Conversely, the tip that minimizes lift is blunt, with a high tip curvature and short width, and reduces the drag and lift forces by $$4.5\%$$ 4.5 % and $$30.8\%$$ 30.8 % (respectively) compared to the CPT. The lift and drag forces are competing optimisation objectives, thus the tip shape with the optimal trade-off between drag and lift forces can be established using Pareto optimality. The Pareto optimal tip shape reduces the drag and lift forces by $$10.7\%$$ 10.7 % and $$19.4\%$$ 19.4 % respectively, and is strikingly similar to the profile of a sandfish. This contribution shows that when a common goal exists, bio-inspired solutions can offer an optimal solution to engineering applications. We also show the potential to integrate DEM simulations within an optimization framework to develop innovative design solutions.

show abstract

Section: Tip Shape Optimisationmentioning

confidence: 99%

Section: Tip Shape Optimisationmentioning

confidence: 99%

Optimal tip shape for minimum drag and lift during horizontal penetration in granular media

Patino-Ramirez

O’Sullivan

2023

Acta Geotech.

View full text Add to dashboard Cite

show abstract

“…Article 1.4 of ASTM F1962-11 speci cally states that this speci cation does not involve the application safety of horizontal directional drilling, and the application safety is the responsibility of users [6]. Now there are many theoretical studies on horizontal directional drilling; these studies mainly focus on mud pressure [7], HDD pull loads [8,9], ground collapse [10], cuttings transport mechanism [11][12][13], and the alignment optimization of the pilot bore [14,15]. Some people also used the nite element method to simulate the stability of the borehole [16,17] and FLAC3D to simulate the land subsidence [18,19].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Influence of Whipstock Point Position of Directional Drilling through Embankment on the Stability of Embankment Slope against Sliding

Liu

Jiang

et al. 2022

Advances in Civil Engineering

View full text Add to dashboard Cite

With the increasing number of river-crossing pipeline projects, many studies have focused on the safety and stability of embankment slopes in horizontal directional drilling crossing embankment construction. In addition, it is challenging to study the influence of key processes in directional drilling construction on the antisliding stability of embankment slopes. A model of horizontal directional drilling crossing the Shaying River embankment was developed by using the numerical simulation software FLAC3D, and the strength reduction method is used to analyze the antisliding stability of the embankment after crossing the embankment. In this study, the effect of the position of the whipstock point on the antisliding stability of the embankment slope was considered. The analysis shows that when the inclined point is located below the center of the embankment, the anti-sliding stability of the embankment is the most unfavorable, and the construction should try to avoid the whipstock point below the center of the embankment. It was also determined that when the vertical distance between the oblique point and the crest of the embankment is exceeding 13 m, the impact on the antisliding stability of the embankment can be ignored.

show abstract

“…Based on the trajectory and characteristics of well, the digging methods fall into vertical, horizontal and directional technologies. Digging or drilling in a horizontal direction (HDD) is a technique which is gaining enormous attention because of its cost-effective and environment-friendly nature, time involved and land use features of the earth [2]. From its conception till now, HDD is well adopted to geology conditions.…”

Section: Introductionmentioning

confidence: 99%

“…However, management of groundwater and optimization of digging well process requires estimation or prediction of hydrological parameters such as next borehole depth. Groundwater borehole's depth point prediction has become a very challenging task [2]. Increased water and drilling demand caused depletion of groundwater resources leading towards abrupt changes in in-depth points.…”

Section: Introductionmentioning

confidence: 99%

Boreholes Data Analysis Architecture Based on Clustering and Prediction Models for Enhancing Underground Safety Verification

et al. 2021

View full text Add to dashboard Cite

During the last decade, substantial resources have been invested to exploit massive amounts of boreholes data collected through groundwater extraction. Furthermore, boreholes depth can be considered one of the crucial factors in digging borehole efficiency. Therefore, a new solution is needed to process and analyze boreholes data to monitor digging operations and identify the boreholes shortcomings. This research study presents a boreholes data analysis architecture based on data and predictive analysis models to improve borehole efficiency, underground safety verification, and risk evaluation. The proposed architecture aims to process and analyze borehole data based on different hydrogeological characteristics using data and predictive analytics to enhance underground safety verification and planning of borehole resources. The proposed architecture is developed based on two modules; descriptive data analysis and predictive analysis modules. The descriptive analysis aims to utilize data and clustering analysis techniques to process and extract hidden hydrogeological characteristics from borehole history data. The predictive analysis aims to develop a bi-directional long short-term memory (BD-LSTM) to predict the boreholes depth to minimize the cost and time of the digging operations. Furthermore, different performance measures are utilized to evaluate the performance of the proposed clustering and regression models. Moreover, our proposed BD-LSTM model is evaluated and compared with conventional machine learning (ML) regression models. The R 2 score of the proposed BD-LSTM is 0.989, which indicates that the proposed model accurately and precisely predicts boreholes depth compared to the conventional regression models. The experimental and comparative analysis results reveal the significance and effectiveness of the proposed borehole data analysis architecture. The experimental results will improve underground safety management and the efficiency of boreholes for future wells.

show abstract

Horizontal directional drilling (HDD) alignment optimization using ant colony optimization

Cited by 16 publications

References 17 publications

Optimal tip shape for minimum drag and lift during horizontal penetration in granular media

Optimal tip shape for minimum drag and lift during horizontal penetration in granular media

Analysis of the Influence of Whipstock Point Position of Directional Drilling through Embankment on the Stability of Embankment Slope against Sliding

Boreholes Data Analysis Architecture Based on Clustering and Prediction Models for Enhancing Underground Safety Verification

Contact Info

Product

Resources

About