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Hundred years of lessons learned in tailings dams failures

We use  the dBase published by CSP for Hundred years of lessons learned in tailings dams failures. We process Data using Luna, a BI platform by Hicare  that Riskope routinely links to ORE for pre- and post-processing of risk results. Hundred years of lessons learned in tailings dams failures The infographic below shows the full database of 289 tailings accidents, of any volume, any type of dam, failure mode, release volume, etc. We grouped the results by decade (horizontal axis)…

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Resilience and reliability concepts applied to Oroville Dam

So, we are in a conceptual exercise today. We discuss how to apply Resilience and reliability concepts to Oroville Dam. We will stay away from numbers, as we do not know them. Oroville Dam system A catchment area of 3,607 sq mi (9,340 km2) brings water to the Feather River Valley upstream of the dam location. The Oroville dam bars the Feather River Valley  mainly for water supply, hydroelectricity generation and flood control. The Dam’s design and building procedure complied…

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Ten specific questions Riskope/ORE effectively and elegantly solve for you and your company

We are delighted to show below ten specific questions Riskope/ORE effectively and elegantly solve for you and your company. ORE is the methodology Riskope has developed over two decades of continuous improvements while working for Fortune 500, international organizations, private groups and governments. Ten specific questions Riskope/ORE effectively and elegantly solve for you and your company. For the ease of reading we have grouped the ten specific questions Riskope/ORE effectively and elegantly solve for you and your company in four…

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Making sense of Probabilities and Frequencies

Making sense of probabilities and frequencies (in a quantitative way) is necessary to benefit from better risk assessment. Oftentimes users feel compelled to use qualitative approaches to risk assessments. Their justification includes that probabilities are complicated, they require “statistics”. As a result users embrace index-approaches (probabilities are given (absurd) values like 1,2,3..n), qualitative approaches (small, medium, large… “fast-food style”) while believing they will get a good understanding of their risks out of this. In reality, making sense of probabilities and…

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