Inferences on subsurface temperatures in geothermal studies, based on sparse datasets and modelling, contain many sources of significant uncer tainty. Further, a problem arises in the scale of computation needed for data-driven inference when an inversion is posed on geodynamical constraints, such as heat flow over basins or systems of basins. Here we outline an approach to understanding the sensitivity in model parameters in a forward modelling suite of a basin-scale geothermal problem, which allows the fundamental controlling parameters in the problem to be identified and constrained. We have been improving this approach and making our implementations much more readily available to the community. An example of this approach was first done for the Sydney Gunnedah basin model. We've extended this work with updates to the method implementation and extrapolations to include the Bowen basin.
|Number of pages||1|
|Publication status||Published - 2012|
|Event||International Geological Congress (34th : 2012) - Brisbane, Australia|
Duration: 5 Aug 2012 → 10 Aug 2012
|Conference||International Geological Congress (34th : 2012)|
|Period||5/08/12 → 10/08/12|