Monitoring of coal-mine goaf based on 4D seismic technology

Zhang, Xian-Xu; Ma, Jinfeng; Li, Lin

doi:10.1007/s11770-020-0807-9

Cited by 8 publications

(5 citation statements)

References 18 publications

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“…rough the construction of data model, the standard of risk degree is determined, and the purpose of early warning is nally achieved [3]. Some scholars take the model as the breakthrough point, propose how to establish the enterprise nancial early warning system, and design the process and content of the system; its purpose is to reduce the damage caused by nancial risks to enterprises [4]. When monitoring problems, managers can take decisive action against the relevant data and quickly nd countermeasures to curb the occurrence of nancial crisis.…”

Section: Literature Reviewmentioning

confidence: 99%

Using Decision Tree Classification and AdaBoost Classification to Build the Abnormal Data Monitoring System of Financial Accounting in Colleges and Universities

Jiang

2022

Computational Intelligence and Neuroscience

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In order to better solve the problems of low efficiency, large consumption of human resources, and relatively low degree of intelligence in the abnormal data monitoring system of financial accounting in colleges and universities under the background of current accounting computerization, this article takes data mining and neural network algorithm as the technical basis to build the abnormal data monitoring system of financial accounting in colleges and universities. This article uses data mining algorithm and neural network analysis technology to process the original accounting information of colleges and universities, effectively eliminate invalid data, retain valuable data, and improve the detection efficiency of abnormal accounting data. The system test results show that the accuracy of identifying 50 abnormal situations in the original accounting data of colleges and universities is more than 90% by using data mining and neural network model.

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Section: Literature Reviewmentioning

confidence: 99%

Using Decision Tree Classification and AdaBoost Classification to Build the Abnormal Data Monitoring System of Financial Accounting in Colleges and Universities

Jiang

2022

Computational Intelligence and Neuroscience

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“…The geophysical characteristics of the goaf and its upper strata have changed com pared with those before mining, including differences in density, velocity and other elasti parameters, which provide the physical basis for detecting goafs by the seismic method [24]. A large amount of data proves that the existence of goafs changes the characteristic of coal-seam reflection waves, which is manifested in the distortion, dislocation, and even…”

Section: Attribute-based Predicted Multiparameter Analysis For Goaf P...mentioning

confidence: 99%

“…The geophysical characteristics of the goaf and its upper strata have changed compared with those before mining, including differences in density, velocity and other elastic parameters, which provide the physical basis for detecting goafs by the seismic method [24]. A large amount of data proves that the existence of goafs changes the characteristics of coal-seam reflection waves, which is manifested in the distortion, dislocation, and even disappearance of coal-seam reflection-wave groups, the reduction in seismic amplitude, frequency, phase reversal, and waveform changes.…”

Section: Attribute-based Predicted Multiparameter Analysis For Goaf P...mentioning

confidence: 99%

Integrated Geophysical Prediction of Goaf and Water Accumulation in Pingshuo Dong Open-Cut Mine with Ultrashallow and High Drops

et al. 2023

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To address safety problems caused by goaf and water accumulation in open-pit mines, the shallow three-dimensional seismic method and transient electromagnetic method were integrated and applied to detect the mining goaf distribution scope and the water accumulation conditions. In view of the special topographic conditions of an ultrashallow layer and high drop in an open-pit mine, we proposed utilizing bin homogenization and multidomain joint denoising to improve the reliability of seismic data. By using seismic-sensitive attributes to predict the goaf, the transient electromagnetic method was employed to further predict the water accumulation in the goaf. The results show that the shallow seismic method could clearly reflect the reflected-wave variation features of the goaf. The features of a junction between a normal seam and goaf vary obviously, and the prediction effect of the goaf boundary with high resolution is in line with the actual situation. Furthermore, taking the goaf scope prediction with the shallow three-dimensional seismic method as a base, targeted transient electromagnetic detection was deployed, with a detailed analysis of the survey-line repeated areas of the shallow seismic and transient electromagnetic methods. Making full use of the advantages of the shallow seismic and transient electromagnetic methods, we propose a reasonable data interpretation method in combination with the special topographic conditions of open-pit mines, which greatly improves the prediction effect of goaf and water accumulation conditions.

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“…Seismic methods are sometimes used in time-lapse mode to observe the mining process and detect methane accumulations and gas leakages. In some countries, this is becoming a common practice or even a legal requirement [ 6 , 7 ]. Borehole seismic methods using conventional downhole seismic receivers, on the other hand, are less popular in mining due to the relative cost of borehole seismic acquisition.…”

Section: Introductionmentioning

confidence: 99%

3D DAS VSP for Coal Seam Exploration: A Case Study from Queensland, Australia

Tertyshnikov,

Yurikov,

Bona

et al. 2024

Sensors

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Seismic methods are extensively used in coal mining for expanding resource discoveries and definition as well as for mine monitoring. However, the use of borehole seismic methods is relatively uncommon due to the high cost of borehole seismic acquisition using conventional downhole tools. The introduction of distributed acoustic sensing (DAS), which uses optical fibres to record seismic data, has dramatically increased the cost-effectiveness of borehole seismic methods. Fibre-optic cables are inexpensive and, once deployed in a borehole, can be abandoned or used later for further monitoring of the subsurface. The case study presented here concerns the use of DAS to record a 3D VSP (vertical seismic profiling) for coal seam exploration in Queensland, Australia. This study trialled effective strategies for deploying cables into boreholes and demonstrated how this technology could be incorporated into the standard coal exploration process. The final processing results produced a high-resolution 3D seismic cube where the coal seams below the basalt cover are clearly identifiable around the boreholes. Permanent installation of the fibre-optic cables into a set of boreholes provides immediate benefits of 3D seismic imaging and can create additional value in utilising these sensors for further discrete or continuous subsurface measurements, including stability monitoring of underground workings and detection of methane accumulations.

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Monitoring of coal-mine goaf based on 4D seismic technology

Cited by 8 publications

References 18 publications

Using Decision Tree Classification and AdaBoost Classification to Build the Abnormal Data Monitoring System of Financial Accounting in Colleges and Universities

Using Decision Tree Classification and AdaBoost Classification to Build the Abnormal Data Monitoring System of Financial Accounting in Colleges and Universities

Integrated Geophysical Prediction of Goaf and Water Accumulation in Pingshuo Dong Open-Cut Mine with Ultrashallow and High Drops

3D DAS VSP for Coal Seam Exploration: A Case Study from Queensland, Australia

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