Data

Marine communities of the Bayu-Undan pipeline: comparisons with natural seabed communities to provide context for decommissioning

Australian Institute of Marine Science
Australian Institute of Marine Science (AIMS)
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=https://apps.aims.gov.au/metadata/view/d3212cf4-9811-46d0-9dc2-92dca6edbac2&rft.title=Marine communities of the Bayu-Undan pipeline: comparisons with natural seabed communities to provide context for decommissioning&rft.identifier=https://apps.aims.gov.au/metadata/view/d3212cf4-9811-46d0-9dc2-92dca6edbac2&rft.publisher=Australian Institute of Marine Science (AIMS)&rft.description=A major focus of the research was on fish, including the top 10 commercially important fishery species for this region, given their role as biodiversity indicators and the interest of this faunal group to a broad range of stakeholders. Field research was conducted in August-September 2019 aboard the AIMS vessel RV Solander. Five locations were surveyed along the pipeline route each location included the pipeline and surrounding natural seabed ecosystems out to a maximum distance of 6 km from the pipeline.A suite of methods was employed to characterise seabed morphology and associated biota. A multibeam echosounder acquired bathymetry raster data which revealed seabed depth and morphology. Subsequent derivative datasets produced environmental predictors of benthos describing seafloor structure and complexity. Towed video was used to collect high resolution imagery of benthic communities along 1.5km transects, randomly stratified across different habitat types, where visibility permitted. As it was not possible to perform towed video transects along the pipeline in high currents and low visibility, information on benthic communities colonising the pipeline was obtained through the analysis of existing remotely operated vehicle (ROV) imagery of the pipeline that was collected in 2017 by ConocoPhillips. Fish species richness and abundance, in addition to the size of commercially important fish species, were obtained using baited remote underwater stereo-video systems (stereo-BRUVs) with sampling along the pipeline and randomly stratified across natural seabed ecosystems at each location. The size of commercially important fish species was converted to biomass and beach value ($). AIMS historical data on benthic habitats and fish diversity were included to provide context and regional assessments of marine communitiesMaintenance and Update Frequency: asNeededStatement: Trip 7230 Multibeam mapping BRUVS Towed Video + Digital Stills CTD&rft.creator=Australian Institute of Marine Science (AIMS) &rft.date=2026&rft.coverage=westlimit=127.23901748657228; southlimit=-11.365102184630679; eastlimit=127.36913681030275; northlimit=-11.252658801461003&rft.coverage=westlimit=127.23901748657228; southlimit=-11.365102184630679; eastlimit=127.36913681030275; northlimit=-11.252658801461003&rft.coverage=westlimit=128.08633804321292; southlimit=-11.562948413068938; eastlimit=128.21439743041995; northlimit=-11.453275265347035&rft.coverage=westlimit=128.08633804321292; southlimit=-11.562948413068938; eastlimit=128.21439743041995; northlimit=-11.453275265347035&rft.coverage=westlimit=128.45171928405762; southlimit=-11.646604203190341; eastlimit=128.50768089294436; northlimit=-11.599020165873746&rft.coverage=westlimit=128.45171928405762; southlimit=-11.646604203190341; eastlimit=128.50768089294436; northlimit=-11.599020165873746&rft.coverage=westlimit=129.13347244262698; southlimit=-11.90481062781242; eastlimit=129.26908493041995; northlimit=-11.789559385346799&rft.coverage=westlimit=129.13347244262698; southlimit=-11.90481062781242; eastlimit=129.26908493041995; northlimit=-11.789559385346799&rft.coverage=westlimit=129.77479934692386; southlimit=-12.063998611017297; eastlimit=129.90800857543948; northlimit=-11.949150881888203&rft.coverage=westlimit=129.77479934692386; southlimit=-12.063998611017297; eastlimit=129.90800857543948; northlimit=-11.949150881888203&rft_rights=All AIMS data, products and services are provided as is and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.&rft_rights=The data was collected under contract between AIMS and another party(s). Specific agreements for access and use of the data shall be negotiated separately. Contact the AIMS Data Centre ([email protected]) for further information&rft_subject=oceans&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

view details

All AIMS data, products and services are provided "as is" and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.

The data was collected under contract between AIMS and another party(s). Specific agreements for access and use of the data shall be negotiated separately. Contact the AIMS Data Centre ([email protected]) for further information

Access:

Open

Full description

A major focus of the research was on fish, including the top 10 commercially important fishery species for this region, given their role as biodiversity indicators and the interest of this faunal group to a broad range of stakeholders. Field research was conducted in August-September 2019 aboard the AIMS vessel RV Solander. Five locations were surveyed along the pipeline route each location included the pipeline and surrounding natural seabed ecosystems out to a maximum distance of 6 km from the pipeline.


A suite of methods was employed to characterise seabed morphology and associated biota. A multibeam echosounder acquired bathymetry raster data which revealed seabed depth and morphology. Subsequent derivative datasets produced environmental predictors of benthos describing seafloor structure and complexity. Towed video was used to collect high resolution imagery of benthic communities along 1.5km transects, randomly stratified across different habitat types, where visibility permitted. As it was not possible to perform towed video transects along the pipeline in high currents and low visibility, information on benthic communities colonising the pipeline was obtained through the analysis of existing remotely operated vehicle (ROV) imagery of the pipeline that was collected in 2017 by ConocoPhillips. Fish species richness and abundance, in addition to the size of commercially important fish species, were obtained using baited remote underwater stereo-video systems (stereo-BRUVs) with sampling along the pipeline and randomly stratified across natural seabed ecosystems at each location. The size of commercially important fish species was converted to biomass and beach value ($). AIMS historical data on benthic habitats and fish diversity were included to provide context and regional assessments of marine communities

Lineage

Maintenance and Update Frequency: asNeeded
Statement: Trip 7230 Multibeam mapping BRUVS Towed Video + Digital Stills CTD

Notes

Credit
Funding Body: Santos Ltd

Modified: 18 09 2026

This dataset is part of a larger collection

Click to explore relationships graph

127.36914,-11.25266 127.36914,-11.3651 127.23902,-11.3651 127.23902,-11.25266 127.36914,-11.25266

127.30407714843,-11.308880493046

128.2144,-11.45328 128.2144,-11.56295 128.08634,-11.56295 128.08634,-11.45328 128.2144,-11.45328

128.15036773681,-11.508111839208

128.50768,-11.59902 128.50768,-11.6466 128.45172,-11.6466 128.45172,-11.59902 128.50768,-11.59902

128.4797000885,-11.622812184532

129.26908,-11.78956 129.26908,-11.90481 129.13347,-11.90481 129.13347,-11.78956 129.26908,-11.78956

129.20127868653,-11.847185006579

129.90801,-11.94915 129.90801,-12.064 129.7748,-12.064 129.7748,-11.94915 129.90801,-11.94915

129.84140396118,-12.006574746453

text: westlimit=127.23901748657228; southlimit=-11.365102184630679; eastlimit=127.36913681030275; northlimit=-11.252658801461003

text: westlimit=128.08633804321292; southlimit=-11.562948413068938; eastlimit=128.21439743041995; northlimit=-11.453275265347035

text: westlimit=128.45171928405762; southlimit=-11.646604203190341; eastlimit=128.50768089294436; northlimit=-11.599020165873746

text: westlimit=129.13347244262698; southlimit=-11.90481062781242; eastlimit=129.26908493041995; northlimit=-11.789559385346799

text: westlimit=129.77479934692386; southlimit=-12.063998611017297; eastlimit=129.90800857543948; northlimit=-11.949150881888203

Subjects
oceans |

User Contributed Tags    

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

Other Information
McLean, D., Cure, K., Abdul Wahab, M. A., Galaiduk, R., Birt, M., Vaughan, B., Colquhoun, J., Case, M., Radford, B., Stowar, M., Harries, S., Heyward, A., & Miller, K. (2021). A comparison of marine communities along a subsea pipeline with those in surrounding seabed areas. Continental Shelf Research, 219:104394

doi : https://doi.org/10.1016/j.csr.2021.104394

Identifiers
  • global : d3212cf4-9811-46d0-9dc2-92dca6edbac2
ACN 633 798 857