Classification method of coal and rock drillability based on Mechanical Specific Energy theory

XIE Zhijiang; CHANG Xue; YANG Lin; PI Yangjun

doi:10.3969/j.issn.1001-1986.2021.03.030

Volume 49 Issue 3

Jun. 2021

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COAL GEOLOGY & EXPLORATION > 2021 > 49(3): 236-243. > DOI: 10.3969/j.issn.1001-1986.2021.03.030

XIE Zhijiang, CHANG Xue, YANG Lin, PI Yangjun. Classification method of coal and rock drillability based on Mechanical Specific Energy theory[J]. COAL GEOLOGY & EXPLORATION, 2021, 49(3): 236-243. DOI: 10.3969/j.issn.1001-1986.2021.03.030

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Classification method of coal and rock drillability based on Mechanical Specific Energy theory

XIE Zhijiang^{1, 2,},
CHANG Xue^{1, 2},
YANG Lin^{2, 4},
PI Yangjun^{2, 3}

1.
School of Mechanical Engineering, Chongqing University, Chongqing 400044, China
2.
State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China
3.
School of Automotive Engineering, Chongqing University, Chongqing 400044, China
4.
Chongqing Research Institute Co. Ltd., China Coal Technology and Engineering Group Corp., Chongqing 400039, China

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Received Date: October 17, 2020
Revised Date: December 14, 2020
Published Date: June 24, 2021

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Abstract

Abstract

The drillability classification of the surrounding rock during the drilling process of coal mine gas drainage through the Mechanical Specific Energy(MSE) can provide a basis for the drilling rig to adjust the drilling parameters. Aiming at the problems of difficulty and low efficiency of manual layer identification in the process of gas drainage and drilling, a coal and rock drillability classification method based on MSE as the drillability evaluation index combined with Extreme Learning Machine(ELM) is proposed. A simulation model of PDC bit crushing rock was established by ABAQUS, and the changing law of drilling speed and MSE in the process of PDC bit crushing rock was studied from three aspects: material type, rotation speed and drilling pressure. At the same time, training data including drilling parameters and MSE were obtained. The ELM is used to learn the data such as drilling parameters and MSE. Finally, the classification accuracy under the two drillability classification indicators is compared. The results show that the accuracy rate of classification when the MSE is used as the index of drillability is over 90%, which is higher than the drilling parameters. The classification results can provide a theoretical basis for drilling rigs to adjust drilling parameters and realize adaptive drilling.
- coal mine drilling rig,
- PDC drill bit,
- Mechanical Specific Energy(MSE),
- Extreme Learning Machine(ELM),
- drillability

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Classification method of coal and rock drillability based on Mechanical Specific Energy theory

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