b'AEGC 2023Short abstractsA comparison between multiple complementary techniques isbetter understand economic mineralisation and reduce presented alongside relevant metrics used to appraise modelthe risks and costs associated with blind drilling. To accuracy and opportunities for further enhancement. Theextract maximum value from a seismic dataset requires highly-scalable methods described highlight how applications ofa clear understanding of the rock properties, particularly deep learning and integration with digital earth libraries createthose properties which govern the seismic response. This workflow optimisations in understanding large geographic areascan be obtained through core-based measurements or in addition to unlocking insights at scale. Overall, the resultsinsitu measurements using wireline logging. In hard rock created from the workflow match closely to visual interpretationsenvironments the seismic sensitivity is commonly related and an optimum set of model parameters were identified. Theto the mineral content of the rocks. Leveraging assay application of deep learning for hydrogen exploration enablesresults with detailed mineralogical analysis and combining high quality screening and geological features extraction tothese with measurements of elastic properties (P-Velocity, be carried out on a large geographical region within a shortS-Velocity and Density) leads to an understanding of what timeframe with minimal human supervision. is causing the seismic reflections.Every mine site is associated with a different assemblage of Is the Aki and Richards approximation really practicalrocks and each case must be looked at individually. We will to estimate AVO responses?: Case study of the Browseshow 3 separate examples of mining seismic that demonstrate Basin. the methodical analysis of drillhole data and how it links to seismic reflectivity. The first example is from the Tropicana Satoshi Ishikawa gold mine and the second is the St Ives/Victory complex, both in Western Australia. The third example is from Africa in Cote AVO analysis is an important basic technique in explorationdIvoire. Each example is associated with gold mineralisation geophysics for lithology and fluid estimation. Currently, the AVOwhich cannot be directly imaged on the seismic thus requiring equation of Aki and Richards (1980), which is approximationa thorough understanding of the surrounding host rocks and of the Zoeppritz equation (Zoeppritz, 1919) is widely used forstructure.AVO analysis and AVO inversion. However, the Aki and Richards equation assumes small an elastic property contrast betweenTo properly visualise a complex 3D earth requires the media. This study investigated a condition when the AVO relationtransformation of the seismic into a 3D rock model. The can be distorted, by using the regional rock physics model intransformation relies on technology that can exploit all the Browse Basin provided Desaki etal. (2019). The intercept,available data to build rock models. The technology is gradient (and curvature) term originally defined by the Aki andgeostatistical inversion which is essentially geostatistical Richards equation are calculated on the Zoeppritz equation asmodelling with the addition of seismic data as an additional if the Zoeppritz equation is approximated with these two andconstraint. The geostatistical inversion exploits the three terms. The calculation is performed between two media,detection limit of the seismic to build detailed rock models. shale overlying sandstone. After the calculation, these two andThe final rock models will be shown for each of the 3 three terms are compared between the two equations. The studyexamples.revealed that the gradient term and curvature term of the Aki and Richards equation are getting larger from the original AVOA new origin for the hydrocarbon-bearing zones in equation of Zoeppritz with larger property contrasts in the Browse Basin. The errors are around 10 to 20 % and 10 to 30 %, respectively.the Goldwyer Formation on the Broome Platform, Especially, in the shallower case around 2 km depth belowCanning Basin, WA, from Nanoscale ToF-SIMS mudline where higher elastic property contrasts are anticipated,geochemical characterisation of organic petrology.the gradient error is much larger. Also, as a result of comparison 2-term and 3-term Aki and Richards equation, the 2-term equationLukman Johnson 1 Gregory Smith2, Jop van Hattum3, has smaller gradient errors than the 3-term equation in the caseRyanTaylor-Walshe3 and Muhammad Atif Iqbal4of higher property contrast, while the 3-term equation has smaller gradient errors in the case of smaller property contrast. These1 School of Earth and Planetary Sciences, Curtin University, Perth, results imply that careful studies according to target depths, areas,WA, Australia and elastic properties are required when applying the 3-term AVO2 Curtin University analysis, as widely understood. 3 Theia Energy Pty Ltd, Suite 1, Level 4, 85 South Perth Esplanade, South Perth, WA 6151 4 Department of Petroleum Engineering, Western Australia School Identifying economic mineralisation using seismic data:of Mines: Curtin University, WA.a multi-step process involving seismic inversion andThe organic petrology and nano-scale geochemistry of the integration of all available data. Goldwyer Formation, Canning Basin were mapped to identify the organic macerals, their probable origin and their control by Kevin Jarvis 1 Andrew Foley2, Cisse Amadou3, Steffen Bremmer3,lithofacies. Samples were selected from Theia-1 and Solanum-1 Ockert Terblanche4 and Stephen Brown4 guided by fine-scale lithology, logs and adjacent RockEval data. 1 HiSeisMost are from the Goldwyer III mudstone in Theia-1, where 2 Gold Fieldsthe highest TOC and gas readings occur, with the rest from 3 Perseus MiningGoldwyer I and Goldwyer II units in Theia-1 and a few from 4 AngloGold Ashanti Goldwyer I in Solanum-1. The organic macerals were identified by reflectance and fluorescent microscopy, mineral elements Acquiring seismic data for mine site development mustwere mapped via SEMTESCAN Integrated Mineral Analyzer demonstrate a clear business case. The end goal is to(TIMA), and inorganic and organic grains were analysed via FEBRUARY 2023 PREVIEW 106'