Void detection at an anthracite mine using an in-seam seismic method

Ge, Mao Chen; Wang, H.; Hardy, H. Reginald; Ramani, R.V.

doi:10.1016/j.coal.2007.05.004

Cited by 27 publications

(9 citation statements)

References 2 publications

(1 reference statement)

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“…From April 10 to April 14, amplified mine tremor activity was recorded which indicated increasing fracture activity in regions A, B, C, and D. Compared to preceding three periods, the larger mine tremors (yellow and red) indicated increased fractures occurrence in regions A, B, and C due to being a coal pillar [31][32][33].…”

Section: Mine Tremors Position: a 3d Location Approachmentioning

confidence: 99%

“…Additionally, several fractures were found out in floor, coal seam, and roof, but they were very few in the key stratum. Besides, several mine tremors, induced by syncline activities; coal pillar; and the first square (1303, 1305, and 1307 LCFs), were discovered in region D. The mine tremors (red) indicated fracturing and caving of key stratum [29][30][31][32][33].…”

Section: Mine Tremors Position: a 3d Location Approachmentioning

confidence: 99%

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Investigation into Mechanism of Floor Dynamic Rupture by Evolution Characteristics of Stress and Mine Tremors: A Case Study in Guojiahe Coal Mine, China

Liu

Javed

Gong

et al. 2018

Shock and Vibration

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In order to explore the mechanism of floor dynamic rupture, the current study adopts a thin plate model to further investigate the condition of floor failure. One of the possible explanations could be floor buckling due to high horizontal stress and dynamic disturbance ultimately leading to rapid and massive release of elastic energy thus inducing dynamic rupture. Seismic computed tomography and 3D location were employed to explore the evolution characteristics of floor stress distribution and positions of mine tremors. In the regions of floor dynamic rupture, higher P-wave velocity was recorded prior to the dynamic rupture. On the contrary, relatively lower reading was observed after the dynamic rupture thus depicting a high stress concentration condition. Meanwhile, evolution of mine tremors revealed the accumulation and subsequent release of energy during the dynamic rupture process. It was further revealed that dynamic rupture was induced due to the superposition of static and dynamic stresses: (i) the high static stress concentration due to frontal and lateral abutment stress from coal pillar and (ii) dynamic stress from the fracture and caving of coal pillar, hard roof, and key stratum. In the later part of this study, the floor dynamic rupture occurrence process would be reproduced through numerical simulations within a 0.6 sec time frame. The above-mentioned findings would be used to propose a feasible mechanism for prewarning and prevention of floor dynamic rupture using seismic computed tomography and mine tremors 3D location.

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Section: Mine Tremors Position: a 3d Location Approachmentioning

confidence: 99%

Section: Mine Tremors Position: a 3d Location Approachmentioning

confidence: 99%

Investigation into Mechanism of Floor Dynamic Rupture by Evolution Characteristics of Stress and Mine Tremors: A Case Study in Guojiahe Coal Mine, China

Liu

Javed

Gong

et al. 2018

Shock and Vibration

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“…; Ge et al . ), and transmitted (Grandjean ; Yordkayhun ) waves. Despite the diversity of approaches, active (with artificial sources) seismic methods have, in many cases, a limited application owing to the small sizes of cavities relative to the wavelength (Grandjean and Leparoux ).…”

Section: Introductionmentioning

confidence: 99%

Detecting underground cavities using microtremor data: physical modelling and field experiment

Kolesnikov

Fedin

2017

Geophysical Prospecting

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In this paper, we study the possibilities of the use of microtremor records in the detection and delineation of near‐surface underground cavities. Three‐dimensional physical modelling data showed that the averaging amplitude spectra of a large number of microtremor records makes it possible to evaluate the frequencies and amplitudes of compressional standing waves generated by microtremor in the space between the ground surface and underground cavities. We illustrate how these parameters can be used to estimate the shape of the underground cavity horizontal projection. If the compressional wave velocity in the enclosing rock is known, it is possible to evaluate the depth to the cavity top using the frequencies of the standing waves. The results of the field experiment confirmed the possibility of underground cavities detection using microtremor data.

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“…При этом могут использоваться разные типы волн: отраженные [Макаровский, 2009;Miller, Steeples, 1991], преломленные [Engelsfeld et al, 2008], поверхностные [Xu, Butt, 2006;Kaslilar et al, 2013], каналовые [Yancey et al, 2007;Ge et al, 2008], проходящие [Grandjean, 2006]. Несмотря на разнообразие применяемых подходов, возможности активных (с искусственными источника-ми) сейсмических методов во многих случаях ограни-чены из-за относительно малых в сравнении с длиной волны размеров неоднородностей [Grandjean, Leparoux, 2004].…”

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Detection of underground cavities using microtremor: physical modeling

2015

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На данных трехмерного физического моделирования исследованы возможности обнаружения под земных приповерхностных пустот, их оконтуривания в плане и оценки глубины залегания с исполь-зованием записей микросейсм. Показано, что накопление амплитудных спектров шумовых записей позволяет оценить частоты и амплитуды стоячих волн сжатия-растяжения, формирующихся в резуль-тате воздействия сейсмических шумов в пространстве между дневной поверхностью и подземными по лостями. Визуализация распределения этих параметров на поверхности наблюдений позволяет оце-нить форму подземных полостей в плане. При известной скорости продольных волн во вмещающей сре де по частотам стоячих волн можно оценить глубину до верхней границы полости.Подземные пустоты, микросейсмы, стоячие волны, физическое моделирование Acad. Koptyug prosp. 3, Novosibirsk, 630090, Russia, fedinkv@ipgg.sbras.ru With use of three-dimensional physical modelling, feasibility of underground near-surface cavities detection, delineation and depth estimation using records of microseisms is analyzed. It is shown that noise records amplitude spectra accumulation allows estimating frequencies and amplitudes of compression-dilatational standing waves generated by seismic noise between the ground surface and underground cavities. Visualization of these parameters distribution on map allows underground cavities delineation. When compressional waves velocity of the background medium is known, it is possible to assess the depth of the cavity top using frequencies of standing waves. DETECTION OF UNDERGROUND CAVITIES USING MICROTREMOR: PHYSICAL MODELLING Yu.I. Kolesnikov, K.V. Fedin Trofimuk Institute of Petroleum Geology and Geophysics SB RAS,

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Void detection at an anthracite mine using an in-seam seismic method

Cited by 27 publications

References 2 publications

Investigation into Mechanism of Floor Dynamic Rupture by Evolution Characteristics of Stress and Mine Tremors: A Case Study in Guojiahe Coal Mine, China

Investigation into Mechanism of Floor Dynamic Rupture by Evolution Characteristics of Stress and Mine Tremors: A Case Study in Guojiahe Coal Mine, China

Detecting underground cavities using microtremor data: physical modelling and field experiment

Detection of underground cavities using microtremor: physical modeling

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