ORE2 Supports ICMM Global Industry Standard on Tailings Management Conformance

ORE2_Tailings™ is a risk assessment platform created by Riskope specifically designed for tailings systems. ORE2_Tailings supports ICMM Global Industry Standard on Tailings Management (GISTM) conformance.

We recently published the notes we took while reading ICMM guidance and conformance protocols. In that text, we stated that ORE2_Tailings anticipated the requirements of ICMM GISTM. Indeed, the threads of our publications, which culminated with our book Tailings Dam Management for the Twenty-First Century shows that evolution. Today, we bring to your attention an example of a fictitious tailings storage facility based on real-life dams. We use it to show how ORE2_tailings supports the requirements of ICMM GISTM.

Field of Application of ORE2_Tailings

ORE2_Tailings applies to active, inactive or closed dams systems built with any earthen materials, following any usual cross-section type (upstream, centerline, downstream, or hybrid/modified).

A dam is not a mere cross-section, but a system including a “homogeneous” segment of tailings-retaining barrier (homogeneous cross-section, foundation, topography and potential consequences) and its ancillary surface water management facilities (spillways, penstock, weirs, diversions, etc.), possible lines and traffic running at its crest. ORE2_Tailings looks at catastrophic failures of the dam system generated by any of these elements and the causalities of such a failure. From the causalities, it is possible to infer information related to the most significant failure modes (see GISTM Requirement 4.1).

ORE2_Tailings benchmarks the probability of failure of a dam with respect to the performance of the worldwide portfolio, based on over 100 years of records. It therefore supports conformance with GISTM Requirement 4.7 (reduction of probability).

A ORE2_Tailings Application to a Dam

Completeness of Documentation

ORE2_Tailings deployments start with the collection of all existing documentation of the dam and an evaluation of the completeness of the archival information. Riskope has developed a specific discovery system to rationalize and speed up this phase (GISTM Principle 2).

Dam Body Causalities

Various causalities aggregations are proposed to the user. The first one considers the following families of causalities for the dam body (ancillary water management intervenes in the probability of failure):

  • investigations: sampling, in situ testing, on site vane, soil classification, lab testing (shear, triaxial and oedometers)
  • design: borehole depth and density, trenches, cross-section material, cross-section type, berms and erosion control, project depth of analysis and detail, as-built plans, alterations to plans, stability analyses reasonableness
  • construction: construction supervision, divergence from plans, known errors and omissions
  • operations: deformations, pore pressure, monitoring, inspections and review, maintenance and repairs

The values of the aggregated causalities (average) shown below apply specifically to the selected example.

ORE2 Tailings supports ICMM

The second aggregation splits the design family into three categories as shown below. The values of the aggregated causalities (average) shown below apply specifically to the selected example.

ORE2 Tailings supports ICMM

These results support Principle 5, particularly Requirement 5.4 and 6.5, if used to support change management.

Dam System Probabilities of Failure

The next point delivered by ORE2_Tailings is the probability of collapse of the system.

ORE2_Tailings provides the estimated values of the annualized probabilities of failure for the conditions the engineers have evaluated for the dam and combines them with the probabilities that the ancillary surface water management fails. Over 30 key performance indicators are included in the evaluation covering the numerous causalities related to a potential failure (including deformations, potential for piping and internal erosion). Thus ORE2_Tailings fosters the development of an organizational culture, personnel education and awareness, following the important Principle 11.

Generally, it is expected that the engineers have already evaluated the dam for effective stress, undrained strength, liquefaction/residual and pseudostatic conditions.

If any of these is unduly missing, then it would have been flagged during the completeness of documentation phase and the ORE2_Tailings−supported conformance to the appropriate requirements of Principle 3 and 4.

Since engineers are likely to have evaluated the conditions above under various assumptions, ORE2_Tailings delivers ranges of the probabilities for the system “as is”. The graph below shows these values as horizontal traits with min-max range. The range can be very wide if significant uncertainties are present. The graph also shows a blue descending arrow indicating the potential effect of bettering the surface water management systems. This offers an immediate “what if” scenario many users consider important. A scenario where the probability of surface water management failure is much lower than the probability of failure of the dam itself helps evaluate the robustness of the system facing extreme events (like climate change). The probability of failure of the water management systems is located at the right, under “as is” status.

Three benchmarks are present on the graph:

Overall, ORE2_Tailings allows users to combine this information with the causality analysis to inform the most likely failure modes or combinations whereof.

ORE2 Tailings supports ICMM

ORE2_Tailings results become an integral part of the continuous check on measurable performance objectives presented in Requirement 7.3. For instance, annualized probability of failure of the system is evaluated in the example at pf=5.02E-03, i.e. a value higher than the benchmark max. The annualized probability of ancillary water management facilities failure included in the above estimates is 1.45E-03.

As one can immediately notice, three cases are strongly influenced by the probability of failure of the ancillary water management. Mitigation focusing on enhancing the ancillary water management facilities could easily bring all those cases to benchmark level or better. However, the global probability of failure is strongly influenced by the liquefaction/residual conditions, and the engineer should simulate various mitigative scenarios to search for the most convenient approach.

Notes on Seismic and Static Liquefaction/Residual

ORE2_Tailings accepts various sets of return-accelerations. The influence of minor quakes on the annualized probability of failure should not be neglected (section 11.2.3, page 164 of Tailings Dam Management for the Twenty-First Century). Those quakes have a smaller acceleration but are more frequent than a maximum considered earthquake, for example.

Another unique feature of ORE2_Tailings is the consideration for the potential triggers of liquefaction/residual events. ORE2_Tailings considers eight of these for which the engineer and owner have to estimate potential “frequencies” (see our book, Section 9.3, page 136). For instance, one of these is “access of heavy equipment working on dam.” The engineer could state, for example, “once a year” or perhaps “every two years”. ORE2_Tailings then evaluates the composite probability of the triggering event. Of course, this evaluation must pair with strict standard operating procedures the owner should publish and enforce in order to avoid catastrophic blunders during service life and after closure. This is part of Requirement 5.2.

Dam Break Estimated Consequences of Failure

ORE2_Tailings can accommodate a consequence scale the client would have established based on a code, such as the GISTM. However, as previously discussed, we consider these oversimplified consequence scales with caution. The main reason is that they focus on one dimension of the potential consequences. This particular aspect not only delivers poorly prioritized portfolios but is near useless for a company or a government wanting to use risk assessments for risk-informed decision-making.

Instead, ORE2_Tailings has a built-in simplified consequence evaluator. It uses again observable symptoms to evaluate consequences. We calibrated it on many decades of catastrophic failures. The model uses multiple consequence dimensions, e.g. harm to people, environment, flora and fauna and damage to third parties.

ORE2_Tailings Supports ICMM Global Industry Standard on Tailings Management Conformance Closing Remarks

We hope this example has given a clear view of the capabilities of ORE2_Tailings for a single dam system and how ORE2_Tailings supports GISTM conformance for a single system. Besides all the points above, ORE2_Tailings is also an instrument of conformance to Principle 10 and 15 by fostering better, repeatable and reality-anchored communication.