We sent 193,000 data points to DomainMCF and received our model after 13 minutes and 6 seconds.’Īs well as displaying an innovative approach, Dillon provided invaluable feedback for improving the integrated modelling solution for all users. ‘We were able to construct a reasonable lithological model from drillhole and cone penetrometer test data for an area of known geological complexity. ‘DomainMCF handled complicated interfingering of sandy and silty materials and modelled sand-gravel interactions, generating the complex lithological interactions expected from braided river systems,’ Dillon said. ‘The answer was to assign and use numeric values and combine the data with soil behaviour types and shear wave velocities to control the geological model.’ĭillon applied Maptek Vulcan, Vulcan Geolog圜ore, Data Analyser and DomainMCF for the challenge, which had to be completed over one week earlier this year.
MAPTEK VULCAN CONSULTANT RICHARD JACKSON HOW TO
‘Our key problem was how to use all the data in the boreholes to model all the geologies and still get the low- and high-density sands in the right places throughout those drillholes,’ Dillon said. Dillon, who works in Christchurch, New Zealand, applied a combination of Maptek geology tools to model complex shallow surface geology beneath a proposed engineering structure. Launched in May, the challenge provided access to various software tools that participants could apply to a geology-related application of their choice, with an emphasis on innovation. AusIMM member Henry Dillon MAusIMM(CP), Senior Geologist – Golder, has won the inaugural Maptek Geology Challenge, using machine learning to come up with an innovative solution for a complex problem.