Steve Bloomer, Matthew Kowalczyk, P. Kowalczyk, S. Constable, E. Haber, Toru Kasuga
{"title":"AUV-CSEM: An Improvement in the Efficiency of Multi-Sensor Mapping of Seafloor Massive Sulfide (SMS) Deposits with an AUV","authors":"Steve Bloomer, Matthew Kowalczyk, P. Kowalczyk, S. Constable, E. Haber, Toru Kasuga","doi":"10.1109/OCEANSKOBE.2018.8559049","DOIUrl":null,"url":null,"abstract":"Seafloor massive sulfide (SMS) deposits are of interest because of their potential as copper and gold orebodies. This mineralization is often highly conductive, and consequently, electromagnetic mapping of these deposits for ranking of drilling targets often follows autonomous underwater vehicle (AUV) surveys that include multibeam bathymetry, side scan sonar, and chemical sensor data collection. This paper describes the results of two engineering tests to enable the simultaneous collection of standard payload AUV data with electromagnetic data for rapid determination of drilling targets. The resulting system is shown to be an efficient and cost-effective method for concurrent high-resolution multisensor and electromagnetic mapping in an SMS environment.","PeriodicalId":441405,"journal":{"name":"2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANSKOBE.2018.8559049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Seafloor massive sulfide (SMS) deposits are of interest because of their potential as copper and gold orebodies. This mineralization is often highly conductive, and consequently, electromagnetic mapping of these deposits for ranking of drilling targets often follows autonomous underwater vehicle (AUV) surveys that include multibeam bathymetry, side scan sonar, and chemical sensor data collection. This paper describes the results of two engineering tests to enable the simultaneous collection of standard payload AUV data with electromagnetic data for rapid determination of drilling targets. The resulting system is shown to be an efficient and cost-effective method for concurrent high-resolution multisensor and electromagnetic mapping in an SMS environment.