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Since the publication of the Global Industry Standard on Tailings Management (GISTM), there has been a concerted effort to implement more robust monitoring and surveillance solutions to better understand and manage the risks associated with Tailings Storage Facilities (TSFs). With advancements in technology, increased adoption of digital instrumentation, and the integration of digital software platforms, the monitoring of TSFs is evolving, enhancing our ability to manage and assess risk through improved visualisation and interpretation of monitoring data.
The use of digital platforms offers significant benefits in this regard, transforming traditional manual readings into continuous, reliable data streams. These platforms enable the seamless integration of proven technologies, such as vibrating wire piezometers and inclinometers, into a digital framework that enhances data accessibility and usability. The high frequency of data collection and the use of advanced digital dashboards facilitate the visualisation of near-real-time data, providing stakeholders with intuitive insights into TSF performance. By leveraging these platforms, mining professionals can better monitor performance, identify potential risks, and make informed decisions to ensure safety.
As the industry continues to embrace digitalisation, the implementation of code development and machine learning practices will further enhance data analytics, and the quality of insights generated. This evolution not only aligns with the overarching goals of the GISTM but also empowers the mining sector to harness the full potential of digital technologies.
With mining companies in Asia taking a growing interest in environmental, social, and governance (ESG) aspects of their operations, SRK Consulting engaged over 40 of its clients and other companies in a workshop dedicated to these topics in Beijing recently.
Learn MoreThe aim of this paper is to show how an incorrect geotechnical rock mass assessment can affect the geotechnical and geomechanical design that will produce a negative impact on both the capex, opex and high risk for a mining project and/or operation.
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