Date/Time
Date(s) - 30/09/2018 - 02/10/2018
All Day
Location
Keystone Conference Center
Categories
Tailings 2.0 course: Space observation, quantitative risk assessment bring value and comply with societal demands.
By Franco Oboni, Oboni Riskope Associates Inc., Vancouver, B.C.,
Cesar H. Oboni, Oboni Riskope Associates Inc., Vancouver, B.C.,
Micheal Henschel, MDA, Ottawa, Ont.,
Roger Morin, MDA, Richmond, B.C.,
A brand new course from the authors of Improving Sustainability through Reasonable Risk and Crisis Management (2007) and The Long Shadow of Human‐Generated Geohazards: Risks and Crises (2016), in cooperation with MDA corporation, the largest provider of space observation data and solutions (radar interferometry -InSAR- and optical solutions).
A course beneficial for many stakeholders
This course is beneficial for many stakeholders including, but not limited to those who:
- design,
- permit,
- construct,
- operate,
- insure and finally perhaps
- close a geo-environmental facility in the mining and oil & gas arena.
Why this course?
The key note lecture by Henry Brehaut at TMW2017 stated that “….clearly, the need emerges to develop risk assessments that are detailed and updatable, that allow determining residual risks (after mitigations) in addition to drawing rational and sensible mitigative roadmaps”.
Thus, clearly, the “good old ways” (a.k.a. common practices, still considered by some “best practices”) do not make the cut anymore in tailings management.
In addition, the recent UNEP report entitled “Mine Tailings Storage: Safety Is No Accident” asks mining companies to make environmental and human safety a priority in management actions and on-the-ground operations by requiring:
-
detailed and ongoing evaluations of potential failure modes,
-
residual risks (UNEP uses this term to indicate the risks after known mitigation), and finally
-
perpetual costs of waste storage facilities.
All those point go in the direction of long term monitoring and observation, in addition to updated risk assessments which are the subject of this course.
A seamless two pronged approach consisting of Space Observation and Quantitative Risk Assessment synergy delivers value to the mining industry and regulators.
In this course we will show how a seamless two pronged approach consisting of Space Observation and Quantitative Risk Assessment synergy delivers value to the mining industry and also regulators. We will show how modern Space Observation (a mix of radar and optical satellite image data, as well as specific algorithms) can become input into a Quantitative Risk Assessment (QRA) platform.
We describe a QRA platform capable of using that “Rich Data” context to deliver an enhanced, updated risk landscape of a project or operation. The QRA platform has to be updatable, scalable, drillable and finally also convergent to maximize benefits.
We provide examples of specific applications this joint technology delivers to miners and governments, allowing for better Risk Informed Decision Making, which in turn generates value.
In addition this course provides case histories of specific applications where this joint technology delivers clear benefits to miners and governments, allowing for better Risk Informed Decision Making, which in turn generates value.
The two pronged approach brings significant advantages to mining end-users, whether they are mining managers, tailings stewards, other key stakeholders, and finally, the general public.
Thus, by virtue of this joint technology it is for example possible to identify emerging crises; check and update alert thresholds and finally, in timely and orderly manner, update probabilities and all other significant hazards and risk parameters. This allows to understand where projects or operations stand in term of risk mitigation at discrete and up to almost real-time pace, if and when required.
It is then possible to define a sustainable risk mitigation road-map for a dam portfolio.
During the day we will work through all the phases of the approach (based on the ORE methodology -Optimum Risk Estimates- ©Oboni Riskope Associates Inc.), including:
- System definition
- Success/failure criteria.
- Delivered data
- “Rich Data” context
- So, what methods to use for probabilistic estimates?
- Hazards Identification
- Simplified breach analyses
- Multi-dimensional consequences analyses
- Risks
- Risk tolerances
- Dashboards
- Decision-making (alternative selection, mitigation, resilience enhancements, etc.)
- Actions (includes communication) and finally
- Back to the start: monitoring, new data, etc.
Tailings 2.0 course: Space observation, quantitative risk assessment bring value and comply with societal demands
In order to demonstrate the above the Course Schedule and ToC follow the approach outlined below:
09:00-10:30
- Introductions
- System definition
- Success/failure criteria.
- What methods to use for probabilistic estimates and finally
- Hazards Identification
Coffee
11:12:30
- “Rich Data” context
- Space observation capabilities and finally
- Case histories
Lunch
13:30-15:00
- Simplified breach analyses in addition to
- Multi-dimensional consequences analyses
Coffee
15:30-17:00
- Risk
- Risk tolerances
- Dashboards
- Decision-making (alternative selection, mitigation, resilience enhancements, etc.)
- Back to the start: monitoring, new data, etc. and finally
- Discussions
No specific knowledge is required to follow this course.
