Science in the Age of Experience
May 15-18, 2017 • Chicago, IL
As one of the leading brands at this edition of the Science in the Age of Experience event, GEOVIA will be promoting themes around the scientific value we can provide for the mining community.
Here is the list of our confirmed Breakout Sessions:
Next Generation of Rapid Parametric Geological Modelling
Presenter: Gustavo Pilger
Abstract: Mining companies are now able to deploy variety of different sensors that can provide real time instrumentation of mining exploration and operations including: measuring while drilling, measuring while operating, autonomous vehicles, robots, and UAVs. This is the “Mining Internet of Things.” Business decisions that today take days or weeks and are made from estimated data will be made in minutes from a fusion of estimated and actual data, supported by automated processes and informed by simulation of possible scenarios and their consequences to upstream and downstream processes. This results in substantial gains in time savings, accuracy, transparency, and business agility for making informed decisions on a timely manner. This vision can only be turned into reality if based on a new generation of software applications that use an architecture that is capable of making machines and humans to "talk' in the same language. This is enabled by applying the same principles of the Semantic Web, which is based on technologies such as eXtensible Markup Language (XML) and the Resource Description Framework (RDF).
This session describes the conceptual building blocks the app is based on and outlines what will become possible by having the mining value chain modelled through the Semantic Modelling framework fully integrated into a business platform.
Presenter: Peter Graham
Abstract: This session presents an innovative approach to the rapid creation of geological models using technology pioneered in the Life Sciences domain combined with traditional geological modelling techniques. Photographic images and remote sensing data are converted into geometrical shapes using 3DS BIOVIA and GEOVIA applications.
BIOVIA Pipeline Pilot is a graphical scientific authoring application that automates the scientific analysis of data, enabling users across the enterprise to rapidly explore, visualize and report research results. GEOVIA Surpac is the world’s leading geology and mine planning system and together they provide a new image analytics capability.
Image Analytics can be used to automate the analysis of many kinds of imagery used in the natural resources industry:
- Geotechnical structures, cracks, faults, etc
- Geophysical data
The presentation will illustrate the workflows involved, showcase a variety of datasets and illustrate typical results.
Geological modelling and geomechanical characterization for underground infrastructure design in urban environments
Presenter: Peter Graham and Gustavo Piliger
Abstract: It is intuitive that underground civil engineering infrastructure designs require the characterization of the local geology for critical engineering input. Specifically, the sub-surface characterization informs the engineering complexity involved that directly reflects on safety and costs. Although the geology is generally sufficiently described , the geomechanical characteristics of the sub-surface are often poorly assessed. This is in part due to the convoluted workflow involved. This session presents a simple workflow for combining GEOVIA Surpac and SIMULIA Abaqus for 3D geomechanical characterization of the sub-surface and the evaluation of its dynamic interaction with the excavation.
The workflow is illustrated with a case study involving a series of underground infrastructure designs in an urban environment.
Impact of the Starting Point and of the Direction of Open Pit Exploitation on the Mining Plan
Presenter: Cristian Poblete
Abstract: When an open pit mining project is assessed based on the net present value, the decisions made to optimize that indicator have a greater impact on the initial periods due to the discount rate; therefore, the decision about where to start the exploitation and the sequence orientation is essential to maximize the performance of the strategic mine plan.
The traditional approach through nested pits consists of an exploitation sequence which is generated from factors that are applied on the revenue; applying those factors according to price ranges, determines the sizes of the nested pits.
There is an alternative approach which considers the application of an additional factor related to the starting point of the exploitation and to the sequence direction; this is the approach which has been used in this paper, as basis of the evaluation of the value in each point.
By conducting a thorough search of possible starting points, it is possible to generate a surface of values based on the coordinates of each point and thereby identify areas that would generate a better performance of the mine plan. Furthermore, it is also possible to obtain a map of directions of the exploitation progress that maximizes the value for each point, which represents a guide to select and to generate mining phases.
The aim of this paper is to assess the impact of applying a starting point search, of determining the exploitation orientation and of selecting a high-performance location, over the value of a mineral deposit.
Modeling the planet with GEOVIA : An insight into what is technically fuelling the 3DEXPERIENCE Mine and the 3DEXPERIENCity
Presenter: Raoul Jacquand
Abstract to follow
Automated cave back optimization and mine planning
Presenter: Daniel Villa
Abstract: Block caving is a high risk mining method, where uncertainty may have significant impact on organizations assets. On average mining organizations lose between 15 and 30% of their reserves due to the challenges block-caving represent.
Some of the mayor challenges are associated to the lack of consistency and confidence in the current geotechnical model and derived mine plan. This require a new approach where we can couple geotechnical constraints with the mine plan, trying to forecast and optimize cave growth strategies with the ability to reduce the uncertainty level and improving the quantification of associated risks through optimisation automation during the generation of production schedules.
This session described an initiative that provide a solution combining GEOVIA PCBC and SIMULIA Abaqus and Isight to improve the capability to Simulate cave growth significantly by reducing processing time and adding this variable directly into the mine planning process, creating a robust solution to model, understand and justify future mine plan, sequences and mine strategies.
Some of the benefits expected from this initiative are:
- Reducing Financial Risks
- Getting Production Guidance right
- Having a Defendable Methodology / Best Thinking / Recognised Process as well as Enabling Transparency
- Quantifying and Communicating Uncertainty
- Allowing the technical team to give a range of solutions to Executives
- Sustaining in-house model
More to come. Stay tuned!