b'AEGC 2023Short abstractsbe used to calculate advanced answer products from the drillingdeformed Proterozoic sedimentary basins, means that it remains energy such as Density, UCS and detect potential cavities. poorly understood, especially in 3D. The presence of the Nifty copper mine, abundant shallow geoscientific information, Here we present the benefits of the GWD system in comparisonwith an apparent absence of effective deeper data sources to data acquisition via in-rod or wireline surveys, as observedrepresented a belt-scale exploration opportunity for IGO. IGO is during recent commercial operations. The single biggestnow one of the largest landholders in the Paterson through the advantage of this system is the increase in drilling productivityformation of three joint ventures. IGOs early-stage exploration by eliminating wait time for an in-rod survey to be run. Over a 9strategy is based on building a robust, regional 3D geological month period, across 2 drills, there was 1 hr and 7 mins of timemodel utilising the large amounts of geophysical, geological saved per day by using the GWD compared to conventionaland geochemical data available in the region. The pillars of the wireline or driller deployed systems. This time is directly ingeological model are based on building knowledge around the drilling workflow and as a result, the drills with GWD havethe sedimentary hosted copper deposit model, where basin significantly higher productivity than those without. Next, holearchitecture, fluid pathways and metal source rocks are critical collapse in the deeper sections of the drill holes is commoningredients to generate a world class deposit.in certain mining areas, which results in partial measurement coverage. The GWD system increased the hole coverage by 12%A wide range of reginal scale geophysical datasets have on average and significantly higher increases in unstable regions.been used to assist in the creation of the model: airborne Furthermore, higher quality geophysical data is available at nomagnetics, gravity, airborne electromagnetics, broadband time cost. For example, GR data is available immediately aftermagnetotellurics, airborne MT (ZTEM) and government 2D each drill run and can be used for stratigraphic interpretationseismic. A combination of 1D, 2D and 3D inversions of this data at the drill site. Finally, GWD data can in some scenarios replacewere generated to provide detailed physical property models data acquired by wireline reducing the size of field crews. that cover all or most of the project region.The integration of all these datasets in a 3D environment has An empirical geophysical model for porphyry copperresulted in the creation of a geological model of stratigraphy deposits in the Laramide Copper Province. and structures. Most importantly, the model is created with the aim at developing an understanding of the timing relationships Brendan Howe and Sarah Devriese between magmatic and deformation events and the deposition The Laramide copper province is located in southwestern Northof the Proterozoic sedimentary basins. The resulting model America covering parts of Arizona, New Mexico, and Texas in theis a live resource, subject of constant updates as new data U.S in addition to Sonora, Chihuahua, Sinaloa and Baja Californiais collected. Recent drilling has validated some of the new in Mexico. Porphyry copper mineralisation is associated withinterpretations generated from the live geology model.Laramide (~80-45 Ma) age magmatism and has been estimated to represent ~300 million tonnes of copper making it a globallyDeep learning and spatial data science in the significant accumulation of the red metal. exploration for hydrogen.The geological and geochemical manifestation of these mineralising systems have been well documented. Specifically,Andrew Imrie and Wenjun Leeexploration models based on alteration zonation and traceCGGelement geochemistry have been developed and successfully deployed in the province since the late 1960s. Hydrogen seeps are reported worldwide and feature typical spatial As a result of post Laramide extension and deposition much ofcharacteristics that lend their identification well to computer vision the province is covered by post-mineral rocks or sediments, andmodels. In this presentation we explore deep learning techniques it can be argued that the greatest residual potential for futurefor the large-scale automatic mapping of potential hydrogen discoveries is located within the covered regions. Consequently,seeps employing convolutional neural networks and image geophysical datasets are playing a more prominent role insegmentation on satellite imagery. These techniques demonstrate integrated targeting of porphyry systems. how advances in machine learning can create efficiencies in exploration workflows for alternative energy resources. We show In this abstract we present a series of observations andthe significant value of deploying this innovative approach which interpretations of geophysical data from various deposits innot only locates potential seeps but computes relevant geospatial the province with the goal of developing an empirical model toproperties and geometrical characteristics. This information can guide selection of geophysical method, interpret subsequentthen be integrated with other remote-sensing and geological results and ultimately contribute to future exploration success. attributes to form a powerful tool for assessing hydrogen potential at the regional and continental-scale.Integration of regional scale geophysical data toThe data preparation and training process is described followed by geospatial object identification and geological attribute generate a 3D geological model of the Patersonintegration. Firstly, we demonstrate the implementation of a Province. convolutional neural network with a predefined architecture, label creation and model training. Secondly, the process of Antonio Huizi, Daniel Lindsey and Nicholas Turley deploying this model to large scale image datasets and the IGOsubsequent automatic extraction of valuable geospatial data is presented. The result of the process creates datasets ready for The Paterson Province is host to significant gold and copperfurther integration in fluid systems analysis, geochemical and deposits, however, deep Phanerozoic cover overlying stronglystructural geology domains.105 PREVIEW FEBRUARY 2023'