Data

CCS - MV Bluefin 2017 V01 ROV

Commonwealth Scientific and Industrial Research Organisation
Gregor, Rob
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/5dba51cd8922b&rft.title=CCS - MV Bluefin 2017 V01 ROV&rft.identifier=https://doi.org/10.25919/5dba51cd8922b&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=Project Overview: A range of solutions will be required to reach globally agreed emissions reductions targets for carbon dioxide (CO2). Carbon capture and storage (CCS) is part of the suite of technologies that will contribute to lowering atmospheric emissions of CO2 from Australia's energy system. There are a wide variety of technologies at various stages of technical and commercial readiness, with more development underway for cost effective CO2 capture and storage. Our research will provide new knowledge to inform cost-efficient measurement, monitoring and verification (MMV) of the environment of CCS projects in coastal waters.--o--The SAAB Seaeye Falcon ROV was deployed five times on Tuesday 19th December 2017 to video the seafloor at various locations, with each deployment lasting approximately forty minutes. The ROV was deployed easily off the starboard of the vessel using the davit and pot hauler. The water was fairly turbid with poor visibility and surge current adding to some difficulty in piloting. As these were the first deployments of the ROV in an operational sense, a conservative approach was taken. Standard definition and High Definition video was captured of each deployment to allow future revision and study. A total of 350 GB of video was stored. The seafloor in the study areas was sparse with features well spread with notes taken of these features.&rft.creator=Gregor, Rob &rft.date=2019&rft.edition=v1&rft.coverage=westlimit=147.3; southlimit=-38.35; eastlimit=147.5; northlimit=-38.17; projection=WGS84&rft_rights=CSIRO Data Licence https://research.csiro.au/dap/licences/csiro-data-licence/&rft_rights=Access to the data is restricted&rft_rights=All Rights (including copyright) CSIRO 2019.&rft_subject=ROV&rft_subject=VIDEO&rft_subject=UNDERWATER&rft_subject=Ecological impacts of climate change and ecological adaptation&rft_subject=Climate change impacts and adaptation&rft_subject=ENVIRONMENTAL SCIENCES&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Other view details
Other

CSIRO Data Licence
https://research.csiro.au/dap/licences/csiro-data-licence/

Access to the data is restricted

All Rights (including copyright) CSIRO 2019.

Access:

Open

Contact Information



Full description

Project Overview: A range of solutions will be required to reach globally agreed emissions reductions targets for carbon dioxide (CO2). Carbon capture and storage (CCS) is part of the suite of technologies that will contribute to lowering atmospheric emissions of CO2 from Australia's energy system. There are a wide variety of technologies at various stages of technical and commercial readiness, with more development underway for cost effective CO2 capture and storage. Our research will provide new knowledge to inform cost-efficient measurement, monitoring and verification (MMV) of the environment of CCS projects in coastal waters.
--o--
The SAAB Seaeye Falcon ROV was deployed five times on Tuesday 19th December 2017 to video the seafloor at various locations, with each deployment lasting approximately forty minutes. The ROV was deployed easily off the starboard of the vessel using the davit and pot hauler. The water was fairly turbid with poor visibility and surge current adding to some difficulty in piloting. As these were the first deployments of the ROV in an operational sense, a conservative approach was taken. Standard definition and High Definition video was captured of each deployment to allow future revision and study. A total of 350 GB of video was stored. The seafloor in the study areas was sparse with features well spread with notes taken of these features.

Available: 2019-10-31

Data time period: 2017-12-08 to 2017-12-20

This dataset is part of a larger collection

Click to explore relationships graph

147.5,-38.17 147.5,-38.35 147.3,-38.35 147.3,-38.17 147.5,-38.17

147.4,-38.26

Subjects

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

ACN 633 798 857