b'Artificial intelligence vs intelligence lostFeaturegravity, especially regarding the lower mantle/lithosphere. As new geophysics data sets become available the older layers of data can be updated along with analyses.Speaking of national databases, in the near future we should also expect cloud computing to adopt AI as a key component. This will potentially have a transformative impact on systems such as MyLogger and the ability to extract the huge amount of information stored in the National Virtual Core Library (NVCL). For instance, see: https://www.linkedin.com/posts/carsten-laukamp-a1176012_introducing-mylogger-a-new-tool-for-interpreting-activity-7107601687183323136-Y6gL?utm_source=share&utm_medium=member_iosNSo, where does all this leave us? Im sure Figure 2.A thumbnail map of the Australasia/Tasman area (https://lnkd.in/dC9qcsGC) AI will make many tasks easier, analysing large data sets etc., and when Dietmar commenced in 2016 and finishes nextthe weights-of-evidence (WofE) method.Mller and Janpieter van Dijk combine year (Wilford etal. 2023). Like GAs oxide predictive maps theseforces using machine learning to cross-are particularly useful for greenfieldsvalidate their approaches who knows Another GA project under the Exploringevaluation. what might transpire. Nevertheless, my for the Future banner has produced agut feeling is that without the element mineral potential map for highly sought- Another project that has been bubblingof human foresight/miss-step/error truly after sediment-hosted copper (Cloutieraway for a decade is a new tectonicbig breakthroughs will not happen. etal. 2023). This map includes a datainterpretation and model of the EarthThe situation reminds me of one such uncertainty layer that improves on theincorporating many/most of the availableevent that, in the 1950s, led to the new older Ni-Cu-PGE maps. The maps can alsogeophysical and geological datasets (vanscience of palaeomagnetism. Professor be updated as uncertainty changes asDijk 2023). Ron Green (whose sad obituary is in more data becomes available and are fedVan Dijk has included some 11,000this issue of Preview) introduced me to into the input layers. tectonic elements such as faults androck magnetism/palaeomagnetism in thrusts, transform faults, rift zones,1972, having studied this himself in the The sediment-hosted copper mineral50s for his PhD under Prof Ted Irving at potential model maps are freelypassive margins and oceanic extension ridges and numerous other features haveANU (I was fortunate to undertake my available for download for users toPhD under the supervision of Dr Brian manipulate and experiment with thebeen mapped, and classified following the geological literature. The completeEmbleton (a past ASEG President) and uncertainties. Cloutier etal. (2023)Prof. Mike McElhinny at ANU in the 70s).describe how they have experimentedsurface of the Earth has been subdivided with three models. The predictiveinto 1,180 larger and smaller tectonicHowever, the big event that happened ability of their three models were testedterranes, in the domains of continentalin the early 1950s was the publication by against 31 known sediment-hostedblocks, oceanic plates and mobileProf Patrick Blackett (Blackett 1952) of copper deposits and occurrences andzones. Numerical multiscale statisticalwhat is universally known (in geophysics) readers are encouraged to read forfabric analyses on orientation, lengthas The Negative Experiment. The themselves how the models performed,and area are presented on the digitiseddiscovery of the magnetism of rapidly noting that the high prospectivitytectonic elements and the classifiedrotating stars led Blackett to wonder in the northeast of South Australiaterranes using the first Digital Twin ofif their rotation and magnetism were and the Officer Basin was a littlethe Earth. Graphical representationintrinsically related. He duly developed a unexpected, and elevated prospectivitythrough maps with different projectionsvery sensitive laboratory magnetometer in the Etheridge region in northeastand viewpoints, and planetary views,to measure any magnetism of a spinning Queensland was a bit of surprise. are presented to illustrate the newgolden orb. None was detected, hence subdivision. Some important implicationsthe experiment was negative. However, The NSW Geological Survey, Newcastlefor plate tectonic reconstructions arethe sensitive magnetometer could University and others (Senanayakebeing discussed. Van Dijk (pers. comm.)measure the extremely weak magnetic etal. 2023) have used machine learningsays that Australian governmentremanence carried by rocks, which led to algorithms to produce Cu-Au and Pb- portals are the best in the world for thethe field of palaeomagnetism! I do not Zn prospectivity maps over the Cobaravailability of data and believes thatthink AI would have led to that!Basin. These show good agreement withnew MT (AUSLamp) survey data from known mineral deposits and existingthe Geological Survey of South AustraliaTherefore, in the interests of the future mineral prospectivity maps based onis a valuable addition to magnetics andof geophysics we should all support OCTOBER 2023 PREVIEW 38'