The Enhancement of Lump Coal Percentage by High-Pressure Pulsed Hydraulic Fracturing for Sustainable Development of Coal Mines

Yan, Hao; Zhang, Jixiong; Zhou, Nan; Chen, Junli

doi:10.3390/su11102731

Cited by 10 publications

(2 citation statements)

References 20 publications

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“…Coal will still be the main energy source for a long time. At present, the rapid growth of the economy puts forward higher requirements for the development of the coal industry [1][2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Coal Mine Safety Evaluation Based on Machine Learning: A BP Neural Network Model

Bai

2022

Computational Intelligence and Neuroscience

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As the core of artificial intelligence, machine learning has strong application advantages in multi-criteria intelligent evaluation and decision-making. The level of sustainable development is of great significance to the safety evaluation of coal mining enterprises. BP neural network is a classical algorithm model in machine learning. In this paper, the BP neural network is applied to the sustainable development level decision-making and safety evaluation of coal mining enterprises. Based on the analysis of the evaluation method for sustainable development of coal enterprises, the evaluation index system of sustainable development of coal enterprises is established, and a multi-layer forward neural network model based on error backpropagation algorithm is constructed. Based on the system theory of man, machine, environment, and management, and taking the four single elements and the whole system in a coal mine as the research object, this paper systematically analyzes and studies the evaluation and continuous improvement of coal mine intrinsic safety. The BP neural network evaluation model is used to analyze and study the intrinsic safety of coal mines, the shortcomings of the intrinsic safety construction of coal mines are found, and then improvement measures are put forward to effectively promote the safe production of coal mines and finally realize the intrinsic safety goal of the coal mine.

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Section: Introductionmentioning

confidence: 99%

Coal Mine Safety Evaluation Based on Machine Learning: A BP Neural Network Model

Bai

2022

Computational Intelligence and Neuroscience

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“…Although there are some experimental studies on HVPD technology, the experimental data are inadequate and mostly for the purpose of rock crushing [13][14][15]. ere is a big difference between rock and concrete in mechanical properties and material composition, so the research results obtained from rock crushing cannot be directly applied to concrete, and from the material composition of rock which can be considered to be composed of a single material; concrete material composition is more complex [16].…”

Section: Introductionmentioning

confidence: 99%

Research on Crushing Concrete Members by High‐Voltage Pulse Discharge Technology

Wang

2021

Advances in Civil Engineering

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High-voltage pulse discharge (HVPD) is an energy-saving, efficient, and green technique, which has broad prospects in concrete crushing. The finite element models of the concrete beam, slab, and column segments were established with ANSYS/LS-DYNA finite element software. Based on the principle of equal impact pressure, the shock wave generated by the fuse explosion caused by HVPD of 50 kJ is equivalent to the impact load of explosive blasting, and the stress of concrete beam segment was analyzed. The finite element models of the concrete beam sections were established to investigate the influence of diameter and spacing of the holes on the crushing effect of concrete beam segments. The width × height of each beam segment is 400 mm × 800 mm, and there are six types of beam segment length: 600 mm, 700 mm, 800 mm, 900 mm, 1000 mm, and 1100 mm. Two holes are drilled vertically on the surface of the width × length of each beam segment. The spacing of holes corresponding to beam segments of each length type is 200 mm, 300 mm, 400 mm, 500 mm, 600 mm, and 700 mm, respectively. The hole depth of each beam segment is 650 mm, and there are three types of aperture: 30 mm, 50 mm, and 70 mm. The analysis results show that the crushing effect of concrete beam segments increases with the increase of aperture and the decrease of hole spacing. According to the crushing effect of the beam segments, the aperture of 50 mm, the spacing of 400 mm, and the hole end (edge) spacing of 250 mm were determined as the optimal hole layout scheme. The finite element models of concrete slabs and columns were established. The square concrete slab thickness is 140 mm and side length is 700 mm, 800 mm, and 900 mm, respectively. Double-row holes were arranged in the slabs and the aperture is 50 mm and the hole spacing is 200 mm, 300 mm, and 400 mm, respectively. The section sizes of concrete columns are 500 mm × 500 mm, 600 mm × 600 mm, and 700 mm × 700 mm, respectively, and the aperture is 50 mm and the hole distance is 400 mm. According to the results of analysis, the optimal hole distribution scheme of concrete slab and column is chosen as the aperture of 50 mm and hole distance of 400 mm. The principle of the layout of multirow holes is that the spacing of row is not more than 400 mm, and the margin is not more than 250 mm.

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New insights on supercritical CO₂fracturing coal mass: a staged analysis method

Yan

Zhang

et al. 2019

Greenhouse Gases

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As a water‐less fracturing mining technology, supercritical CO2 fracturing has attracted increasing attention in the mining industry. Based on detailed analysis of CO2 phase behavior in the whole process of supercritical CO2 fracturing, the whole cycle of supercritical CO2 fracturing was divided into the supercritical CO2 fracturing stage and the CO2 phase transition–induced fracturing stage, and according to the characteristics of each fracturing stage, the fracturing mechanism of supercritical CO2 was analyzed in stages, and the roles of the two stages in the life cycle of the entire supercritical CO2 fracturing process were obtained. Through the laboratory test of supercritical CO2 fracturing coal mass, the pressure–time curves during the whole process of supercritical CO2 fluid fracturing were analyzed, and the rationality and correctness of the supercritical CO2 fracturing staged analysis method proposed in this paper were verified. Based on the energy conservation theory and the state function equation of classical thermodynamics, the burst energy of the CO2 phase transition–induced fracturing stage was estimated. By comparing the trinitrotoluene equivalent of phase‐transition energy with the trinitrotoluene amount of explosive explosion, it was proved that the CO2 phase transition–induced fracturing stage was not negligible. The research results of this paper are of considerable significance for the full understanding of the supercritical CO2 fracturing mechanism. © 2019 Society of Chemical Industry and John Wiley & Sons, Ltd.

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The Enhancement of Lump Coal Percentage by High-Pressure Pulsed Hydraulic Fracturing for Sustainable Development of Coal Mines

Cited by 10 publications

References 20 publications

Coal Mine Safety Evaluation Based on Machine Learning: A BP Neural Network Model

Coal Mine Safety Evaluation Based on Machine Learning: A BP Neural Network Model

Research on Crushing Concrete Members by High‐Voltage Pulse Discharge Technology

New insights on supercritical CO₂fracturing coal mass: a staged analysis method

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The Enhancement of Lump Coal Percentage by High-Pressure Pulsed Hydraulic Fracturing for Sustainable Development of Coal Mines

Cited by 10 publications

References 20 publications

Coal Mine Safety Evaluation Based on Machine Learning: A BP Neural Network Model

Coal Mine Safety Evaluation Based on Machine Learning: A BP Neural Network Model

Research on Crushing Concrete Members by High‐Voltage Pulse Discharge Technology

New insights on supercritical CO2fracturing coal mass: a staged analysis method

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New insights on supercritical CO₂fracturing coal mass: a staged analysis method