| Title | Stochastic Temperature, Heat Flow and Geothermal Gradient Modelling Direct from a 3D Map of the Cooper Basin Region, Central Australia |
|---|---|
| Authors | Tony Meixner, Helen Gibson, Ray Seikel, Kurt Stuewe, Des Fitzgerald, Nick Horspool, and Richard Lane |
| Year | 2010 |
| Conference | World Geothermal Congress |
| Keywords | Stochastic, thermal modelling, gravity inversion, Cooper Basin, Enhanced Geothermal System |
| Abstract | Significant volumes of Big Lake Suite granodiorite intrude basement in the Cooper Basin region of central Australia. Thick sedimentary sequences in the Cooper and overlying Eromanga Basins provide a thermal blanketing effect resulting in elevated temperatures at depth. 3D geological maps over the region have been produced from geologically constrained 3D inversions of gravity data. The inverted density models delineate regions of low density within the basement that are interpreted to be granitic bodies. The 3D maps include potential heat sources and thermally insulating cover, the key elements in generating an Enhanced Geothermal System (EGS) play. A region was extracted from the 3D geological map and used as a test-bed for modelling the temperature, heat flow and geothermal gradients. The test region was populated with thermal properties and boundary conditions were approximated. Temperatures were generated on a discretised version of the model within GeoModeller and were solved by explicit finite difference approximation using a Gauss-Seidel iterative scheme. The thermal properties that matched existing bottom hole temperatures and heat flows measurements were applied to the larger 3D map region. An enhancement of the GeoModeller software is to allow the input thermal properties to be specified as distribution functions. Multiple thermal simulations are carried out from the supplied distributions. Statistical methods are used to yield the probability estimates of the temperature and heat flow, reducing the risk of exploring for heat. |