b'Education matters the recent past and continued erosionaims to correlate buried and draggablethat the flight is flown on favourable has been a challenge in conserving theDAS sensors with three componentsweather conditions. The VOXI modelling history of indigenous people of Australia.geophones. indicated that for varying flying heights In this research, we explore the use ofthe change in magnetic response is low-cost geomatic method by usingSeismic data are observed primarilynot that significant when changing Unmanned Aerial Vehicle (UAV) coupledfor the near surface sectionsthe flying height +/-10 m from the with Structure from Motion techniquesdemonstrating vital reflecting surface atoriginal position. The use of different (SfM-MVS) and change detectionthe depth of about 150 meters. A similarmagnetometer sensors for the same algorithm to delineate the changingprominent feature is observed in 20survey gave a significant difference landscape of Lake Mungo. Topographicburied fibre optical DAS cable in samein the magnetic response and hence surveying is carried out from 2015 tolevel of depth. should be avoided or necessary digital 2018and a high-resolution (0.05m)Despite being a hard rock environment,filtering should be applied. These 2.5-dimensional Digital Elevation Modelwe observed high resemblances of thefindings can be used when acquiring (DEM) is generated from the three- stacked images of geophone and DASUAV based magnetic data to minimize dimensional point cloud data derivedreceived dataset. Through the analysisthe overall magnetic noise through from the images captured by UAV. Eachof the dataset, it can be stated that DASengineering and flying behaviour.interval of the epochs over the threesensors can be trusted to be used as an years is differenced using DoD, LS3Dessential seismic receiving sensor in theMSc projectssupported by industry, and ArcGIS methods and the resultingsector of mineral exploration in hardcontents remain confidentialelevation changes are used to analyserock environment. While monitoring the erosion and deposition of sedimentsof the subsurface data, it can evenHassan Hamisi Ahmad, Curtin at Joulni section of Lake Mungo. Aoutperform the geophones. On theUniversity: Integration of magnetic and SfM-MVS workflow is developed tobasis of nature of measurement and2D seismic data to delineate potential improve the accuracy of the DEMs.state of field, DAS can be used being anhydrocarbon resource areas in North LiDAR and SfM-MVS derived DEMs areinexpensive technology and competitiveRukwa Block, East Africa rift system-compared with each other in this study.services. Tanzania.Our study shows that some regions ofManlio Castillo Torres, Curtin the lunettes having high denudationMudiyanselage Aruni NilupaUniversity: Investigation into pre-stack or aggregation show reliable estimates.Rajanayake, Curtin University: Acquiringwave equation datuming technique However, changes less than 16cmhigh-quality data in UAV magnetic surveys for imaging seismic data recorded over is hard to determine and quantify.significant topographic variations in a With careful elevation modelling andUnmanned Aircraft Vehicles (UAV)hard-rock environmentconsideration of spatial errors, SfM-MVSare often used in acquiring magnetic can successfully be used as a low-costdata due to their light weight, ease ofManish Singh Chaudhary, Curtin method in topographic surveying innavigation in difficult terrain conditions,University: High-resolution hard rock comparison to LiDAR. efficiency, and low cost compared toseismic data processing supported conventional magnetic surveys. Butby borehole supported by borehole Manish Ghimire, Curtin University:with the limited space in UAVs, themeasurements and refraction tomographyDraggable DAS vs fixed geophonenoise contribution is higher because reflection spread - a comparative analysisof instrumentation noise, manoeuvrePablo Crespo Carrillo, Curtin University: at Pineapple Hill noise, terrain effect, and the type ofApplication of isotropic pre-stack depth magnetometer sensors. This studymigration algorithms in hard rock Distributed acoustic sensing (DAS)aims to quantify these noise sourcesgeological settingspossesses an undeniable aspectby modelling studies and observingOscar Marino Leon Estacio, Curtin representing a significant potential in thethe spectral content to minimizeUniversity: Passive seismic imaging in field of mineral exploration in large scale.noise through engineering and flyingmining applicationsDAS systems were used with respect tobehaviour and not digital filtering. the data receiving modes along withWith the use of UAV acquired magneticPetro Madukwa Theonest, Curtin the geophones in Pineapple Hill area,datasets, 3D inversion using VOXIUniversity: Pre-stack inversion for 3D Pilbara region, Western Australia. Thewas carried out to see the averageseismic to characterize the reservoir in field observation for data acquisition wassusceptibility, which was used in forwardBlock 3 Offshore Tanzaniaheld for 7 days and was fully sponsoredmodelling to identify the effect of by BHP Billiton, in their iron ore region.varying flying heights on the magneticBSc (Honours) thesesAspect of this field is to obtain theresponse. Forward modelling theWei Xuen Heng, University of Tasmania: comparative and qualitative seismicmagnetic response for shallow magneticGeophysical investigation of the legacy data from the DAS technology similarbodies for constant flying height usingEndurance mine site, northeast Tasmaniato that of 3-Component geophones.ModelVision, assisted in quantifying the A 40kg PEG weight drop was used towavelengths of geological noise. TheThe legacy Endurance mine site is an generate seismic energy that propagatesinstrumentation noise and sensor noiseabandoned alluvial tin mine in northeast through the ground to backfire reflectorswere analysed by observing the spectralTasmania. Between 1872 and 1985, mine signals that are recorded by 3 underlaincontent using FFT1D on repeat lineswaste was discharged into Ringarooma receiving sensors. Survey was conductedflown in the same direction and multipleRiver and wherever was convenient on for 1km length along E-W section alongsensor readings for the same surveysite. Previous studies have identified the the field to identify the iron ore depositarea respectively. The heading error isproduction of acid mine drainage (AMD) beneath the sub-surface region withan average of 0.8 nT difference givenfrom quartz-rich gravel mine wastes. 35 PREVIEW DECEMBER 2020'