IN048-01
Loop: an Integrated and Interoperable Platform Enabling 3D Stochastic Geological and Geophysical 3D Modelling

Thursday, 17 December 2020: 05:30
Virtual
Laurent Ailleres1, Mark Jessell2, Eric deKemp3, Guillaume Caumon4, Florian Wellmann5, Lachlan Grose6, Robin Armit6, Mark Lindsay7, Jeremie Giraud7, Guillaume Pirot7 and Boyan Brodaric3, (1)Monash University, School of Earth Atmosphere and Environment, Melbourne, VIC, Australia, (2)The University of Western Australia, Centre for Exploration Targeting (School of Earth Sciences), Crawley, WA, Australia, (3)Geological Survey of Canada, Ottawa, ON, Canada, (4)Universite de Lorraine, Nancy, France, (5)RWTH Aachen University, Aachen, Germany, (6)Monash University, School of Earth, Atmosphere and Environment, Melbourne, VIC, Australia, (7)University of Western Australia, Centre of Exploration Targeting (School of Earth Sciences), Crawley, WA, Australia
Recorded Presentation
Abstract:
The Loop project is a OneGeology initiative, initiated by Geoscience Australia and funded by Territory, State and Federal Geological surveys (Australia, Canada, UK and France), the Australian Research Council and the MinEx CRC.

We present the current state of “Loop” a new, multi-scale, open source, 3D geological and geophysical modelling platform that will enable field geologists to build geophysically and geologically integrated 3D geological models and assess and characterise the associated geological uncertainty (Fig.1 - Loop Workflow).

Building 3D models, even with the advent of implicit techniques is still a highly specialised and costly task (both in time and computing resources) and often only adapted to “simpler” basin geometries. The Loop project is developing technologies to mitigate 3D geological risk in resources management.

Our automated workflow includes:

  • Easy data retrieval and input from geological data servers
  • Better structural modelling, including all aspects of structural geology in poly-deformed terranes
  • Better integration with geophysical inversions
  • Characterise and mitigate uncertainty in geological models

The outcome is an enhanced capability to automatically model the subsurface, characterise model uncertainty and test multiple geological scenarii. This enhanced capability is extremely important for the future of subsurface management; including urban geology and our continuously growing sustainable resources industry (including water).

We present the overall philosophy behind the project and current advancement in the field of forward and reverse structural modelling and inverse geophysical modelling as well as an example of automated 3D geological model building in less time than it took to write this abstract.

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