H. Lin
University of New South Wales
Geothermal gradientMachine learningGeologyBoreholeArtificial intelligenceComposite materialDiscrete element methodRock boltGeotechnical engineeringKey (cryptography)Overburden pressureRange (statistics)Tension (physics)Data pointIn situEmpirical relationshipBreakoutSpan (engineering)Thermal effectScale effectHigh energyDifferential analysisHorizontal stressIn situ stressHole sizeMathematicsWord error rateCompression (geology)Computer simulationArtificial neural networkExperimental dataMechanicsFunction (mathematics)Gaussian processMagnitude (mathematics)Structural engineeringKrigingRadiusStress (mechanics)Shear (geology)
8Publications
3H-index
16Citations
Publications 8
Newest
#1H. Lin (UNSW: University of New South Wales)H-Index: 3
#2Joung Oh (UNSW: University of New South Wales)H-Index: 16
Last. Stuart D.C. Walsh (Monash University)H-Index: 24
view all 6 authors...
Abstract Borehole breakout initiation stress is critical for mining and geotechnical engineering as it indicates horizontal stress magnitudes and rock quality in a specific layer. This stress can be significantly intensified under laboratory conditions where the borehole size is small, although the specimen sizes in previous studies varied. This may result in inaccurate experimental results as the sample itself is affected by the scale effect. In this paper, two series of normal compression test...
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#1H. Lin (UNSW: University of New South Wales)H-Index: 3
#2Sarvesh Kumar Singh (UNSW: University of New South Wales)H-Index: 4
Last. T.R. Stacey (University of the Witwatersrand)H-Index: 2
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Abstract In this paper, a newly proposed approach on horizontal stress estimation from borehole breakout data is presented. In a previous study, a machine learning model was developed, capable of estimating maximum horizontal stress (σH) from breakout data accurately. However, due to the limitation in experimental data, it was difficult to obtain the minimum horizontal stress (σh) reliably. In this study, a series of breakout tests on Hydrostone-TB specimens was carried out to investigate the in...
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#1Bowen Wu (CUMT: China University of Mining and Technology)H-Index: 5
#2Wang Xiangyu (CUMT: China University of Mining and Technology)H-Index: 2
Last. H. Lin (UNSW: University of New South Wales)H-Index: 3
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High pre-tension bolt is an effective strata control technique and is the key to ensure the stability of anchorage and roadway. Based on the performances of high energy storage tension rock bolts i...
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#1H. Lin (UNSW: University of New South Wales)H-Index: 3
#2Won-Hee Kang (USYD: University of Sydney)H-Index: 16
Last. Bruce Hebblewhite (UNSW: University of New South Wales)H-Index: 20
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Abstract Estimation of horizontal stress magnitudes from borehole breakouts has been an attractive topic in the petroleum and mining industries, although there are critical research gaps that remain unfilled. In this paper, numerical simulation is conducted on Gosford sandstone to investigate the borehole breakout and its associated borehole size effect, including temperature influence. The discrete element method (DEM) model shows that the borehole breakout angular span is constant after the in...
Source
#1H. Lin (UNSW: University of New South Wales)H-Index: 3
#2Joung Oh (UNSW: University of New South Wales)H-Index: 16
Last. T.R. Stacey (University of the Witwatersrand)H-Index: 9
view all 4 authors...
Borehole breakout is a natural phenomenon in boreholes drilled in rock due to the induced stress concentration. Many researchers have attempted to correlate this phenomenon with in situ stress magnitudes. In this paper, a series of true triaxial tests on sandstone blocks (120 × 120 × 120 mm3) with different diameter pre-drilled holes have been carried out. Results confirmed that breakout geometries (angular span and depth) are dependent on the relative stress magnitudes. It is also noticed that ...
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#1H. Lin (UNSW: University of New South Wales)H-Index: 3
#2Won-Hee Kang (USYD: University of Sydney)H-Index: 16
Last. Ismet Canbulat (UNSW: University of New South Wales)H-Index: 12
view all 4 authors...
Abstract This paper presents a technique for in-situ horizontal stress prediction in vertical boreholes based on borehole breakout data using a machine learning-based meta-modelling technique, i.e. Kriging. This model is generated based on the deterministic mean function and a stationary Gaussian process function derived from the 106 data points from published experimental studies. To examine the reliability of the model, a leave-one-out cross-validation process is conducted against the publishe...
Source
#1H. Lin (UNSW: University of New South Wales)H-Index: 3
#2Joung Oh (UNSW: University of New South Wales)H-Index: 16
Last. Y. Zhang (CUMT: China University of Mining and Technology)
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#1H. LinH-Index: 3
#2Joung OhH-Index: 16
Last. Linming DouH-Index: 29
view all 6 authors...
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