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Tailings management Geoethics considerations

Tailings 2.0 include Tailings management Geoethics considerations. Furthermore Tailings 2.0 fosters the link between a new way of tackling quantitative risk assessments and geoethics requirements in modern society. Tailings 2.0, the result of over twenty years of research and development, marries the requirements presented in the UNEP report and offers unparalleled support to independent risk assessors. The UNEP report identifies its requirement in distinct ways. For example by stating: “Establish independent waste review boards to conduct and publish independent technical reviews…

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Tactical and Strategic tailings dams risk management

Tailings 2.0 is designed to allow Tactical and strategic tailings dams risk management. Tactical and strategic tailings dams risk management The definition of corporate risk tolerance and acceptability foreseen in Tailings 2.0 allows to sort risks in tolerable/acceptable, intolerable but manageable, intolerable and requiring a strategic shift (in short: strategic risks). This is the most pertinent and efficient way to sort risks. We can actually see the three different classes of risk, namely the blue, yellow and red classes. The…

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Updating tailings dam Quantitative Risk Assessment and Space Observation

At the TMW2018 course we will show that updating tailings dam Quantitative Risk Assessment and Space Observation is synergistic and beneficial. The coupling allows feeding enhanced data into a a priori risk assessment and to deliver on a regular basis updated risk assessments. Thus it is possible to answer modern requirements with economy of means. Updating tailings dam Quantitative Risk Assessment and Space Observation Here are the four steps necessary to build such a system. 1) After defining the list…

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Tailings dam interdependent failures and consequences quantifications

Tailings dam interdependent failures and consequences quantifications are studied in Tailings 2.0 as they are often present even within a single dam cross section. In this case they are called internal inter-dependencies. Inter-dependencies are also known as domino effects. Tailings dam interdependent failures and consequences quantifications First we look at the tailings dam interdependent failures. Figures 1, 2 show two classic examples, of interdependencies. These are present in many mines and require careful evaluation. Pipe spills are rather common. If…

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ORE2-Tailings allow benchmark of tailings dams probability of failure

Today we discuss how ORE2-Tailings allow benchmark of tailings dams probability of failure. The considered mine for this case history has a portfolio of 15 dams. The figure below shows in the vertical axis the annual Probability of failure (pf) results under the form of yellow vertical bars. The extreme of the bars represent the minimum and maximum estimates of the probability of failure for each dam. Hence, the length of the bars measures the uncertainty on the evaluation of…

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Space observable data for tailings dam probability of failure

Tailings 2.0 first step is focusing on Space observable data for tailings dam probability of failure.  The probability of failure for each dam in the clients’ portfolio is in essence the result of a multitude of actions/inactions, features and behaviors. Portfolios can go from one to a few dams and finally, for example, hundreds of dams. In this second TMW2018 course summary blogpost we discuss how probabilities are evaluated. However all the fundamental steps which constitute the theoretical developments are freely…

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Tailings and Mine Waste TMW2018 Short Course: Tailings 2.0

During the one day Tailings and Mine Waste TMW2018 Short Course: Tailings 2.0 we will discuss a synergistic approach for Tailings dams risk assessment and long term monitoring. Tailings 2.0 encompasses an updatable, scalable, drillable and convergent Quantitative Risk Assessment (QRA) platform (see ORE2-Tailings ) and Space Observation monitoring as main or complementary to extant classic monitoring programs. ORE2-Tailings ORE2-Tailings uses multiple data sources to deliver initial estimates regarding probability of occurrence of dams’ failures, benchmarks them with the world-wide…

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