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Monitoring System of rock stability in mines based on Advanced 4D seismic analysis.

Project description

Advanced seismic analysis for mining activity

Ground collapse during mining operations can be catastrophic for both the safety of workers and the mining industry. It is necessary to monitor rock mass during underground activity to foresee eventual ground collapse. The 3D LET (Local Earthquake Tomography) method provides computational analysis of data collected by active seismographic systems once per month. However, this method is time consuming, costly and not entirely reliable because of the semimanual analysis made by experts. The EU-funded Mines-In-Time (MIT) project proposes an automatic system that monitors in real time the eventual alterations of the rock mass during mining activity. The system is based on an advanced 4D LET algorithm that can analyse natural and artificial microseismicity arising from mining or other operations.

Objective

PROBLEM
Catastrophic ground collapse in mines is the main hazard for safety of workers and for the mining activity. Monitoring the alteration of the state of the rock mass during underground mining operations plays a key-role to forecast the failure of the rocks. This is currently done through 3D LET (Local Earthquake Tomography) computational analysis on data provided by existing seismographic networks once every month and through quasi-manual analysis of experts: the procedure is time-consuming and expensive, and the results are difficult to be interpreted by the mine’s decision makers and not fully reliable (high possibility of error).

SOLUTION: MINES-IN-TIME
Mines-In-Time (MIT) is an automatic solution for monitoring in real time the stress alteration of the rock mass during mining operations, to be integrated in a traffic-light Decision Support System (DSS) to avoid risks and cost related to mines collapse. The system is based on the innovative 4D LET algorithm (three spatial dimensions + time), able to analyze both natural and induced micro-seismicity such as movements due to drilling or other mining operations. The solution was validated in relevant environment thanks to its application in Garpenberg mine (owned by Boliden Group - Sweden), the world's most productive and automated underground zinc mine (1250 m depth), demonstrating outstanding monitoring capability, reliability and low cost (no hardware needed).

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Topic(s)

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Funding Scheme

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SME-1 - SME instrument phase 1

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Call for proposal

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(opens in new window) H2020-EIC-SMEInst-2018-2020

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Coordinator

SPACEARTH TECHNOLOGY SRL
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 50 000,00
Address
Via di Vigna Murata 605
00143 Roma
Italy

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Centro (IT) Lazio Roma
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 71 429,00
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