Enhancing the Scientific Value of Industry Remotely Operated Vehicles (ROVs) in Our Oceans

Remotely operated vehicles (ROVs) are used extensively by the offshore oil and gas and renewables industries for inspection, maintenance, and repair of their infrastructure. With thousands of subsea structures monitored across the world’s oceans from the shallows to depths greater than 1,000 m, there is a great and underutilized opportunity for their scientific use. Through slight modifications of ROV operations, and by augmenting industry workclass ROVs with a range of scientific equipment, industry can fuel scientific discoveries, contribute to an understanding of the impact of artificial structures in our oceans, and collect biotic and abiotic data to support our understanding of how oceans and marine life are changing. Here, we identify and describe operationally feasible methods to adjust the way in which industry ROVs are operated to enhance the scientific value of data that they collect, without significantly impacting scheduling or adding to deployment costs. These include: rapid marine life survey protocols, imaging improvements, the addition of a range of scientific sensors, and collection of biological samples. By partnering with qualified and experienced research scientists, industry can improve the quality of their ROV-derived data, allowing the data to be analyzed robustly. Small changes by industry now could provide substantial benefits to scientific research in the long-term and improve the quality of scientific data in existence once the structures require decommissioning. Such changes also have the potential to enhance industry’s environmental stewardship by improving their environmental management and facilitating more informed engagement with a range of external stakeholders, including regulators and the public.

[1]  Amy F. Smoothey,et al.  Conservation challenges of sharks with continental scale migrations , 2015, Front. Mar. Sci..

[2]  Bruce H Robison,et al.  New technology reveals the role of giant larvaceans in oceanic carbon cycling , 2017, Science Advances.

[3]  R. Catarino,et al.  Commercial fisheries interactions with oil and gas pipelines in the North Sea: considerations for decommissioning , 2018 .

[4]  Joseph Nicolette,et al.  A Practical Approach for Demonstrating Environmental Sustainability and Stewardship through a Net Ecosystem Service Analysis , 2013 .

[5]  D. Abecasis,et al.  Residency, movements and habitat use of adult white seabream (Diplodus sargus) between natural and artificial reefs , 2013 .

[6]  Daniel O. B. Jones,et al.  Changes in deep-water epibenthic megafaunal assemblages in relation to seabed slope on the Nigerian margin , 2013 .

[7]  M. Thums,et al.  Artificial light disrupts the nearshore dispersal of neonate flatback turtles Natator depressus , 2018, Marine Ecology Progress Series.

[8]  F. Juanes,et al.  First attempt to use a remotely operated vehicle to observe soniferous fish behavior in the Gulf of Maine, Western Atlantic Ocean , 2010 .

[9]  J. Barry,et al.  Tracking California seafloor seeps with bathymetry, backscatter and ROVs , 2002 .

[10]  J. R. Brown,et al.  The Influence Of Internal Waves On Deepwater Drilling Operations , 1977 .

[11]  T. Ura,et al.  Experimental Result of AUV-based Acoustic Tracking System of Sperm Whales , 2006, OCEANS 2006 - Asia Pacific.

[12]  Daniel O. B. Jones,et al.  Recovery of Benthic Megafauna from Anthropogenic Disturbance at a Hydrocarbon Drilling Well (380 m Depth in the Norwegian Sea) , 2012, PloS one.

[13]  Meng Cai,et al.  Passive acoustic detection of a small remotely operated vehicle , 2011, OCEANS 2011 IEEE - Spain.

[14]  Milton S. Love,et al.  Potential use of offshore marine structures in rebuilding an overfished rockfish species, bocaccio (Sebastes paucispinis) , 2006 .

[15]  Ashley M. Fowler,et al.  Rigs‐to‐reefs: will the deep sea benefit from artificial habitat? , 2011 .

[16]  M. Thurston,et al.  A revision of the genus Paracallisoma Chevreux, 1903 (Crustacea: Amphipoda: Scopelocheiridae: Paracallisominae) with a redescription of the type species of the genus Paracallisoma and the description of two new genera and two new species from the Atlantic Ocean. , 2015, Zootaxa.

[17]  D. Clague,et al.  Worldwide observations of remarkable deep-sea squids. , 2001, Science.

[18]  A. Guerin,et al.  Artificial reef properties of North Sea oil and gas production platforms , 2007, OCEANS 2007 - Europe.

[19]  M. Benfield,et al.  In situ observations of Stygiomedusa gigantea in the Gulf of Mexico with a review of its global distribution and habitat , 2010, Journal of the Marine Biological Association of the United Kingdom.

[20]  Thomas C. Weber,et al.  Coastal and Ocean Mapping Center for Coastal and Ocean Mapping 2012 Mapping Gas Seeps with the Deepwater Multibeam Echosounder on Okeanos Explorer , 2018 .

[21]  Christopher M. Clark,et al.  Human vs robot: Comparing the viability and utility of autonomous underwater vehicles for the acoustic telemetry tracking of marine organisms , 2016 .

[22]  A M Fowler,et al.  Fish assemblages associated with oil industry structures on the continental shelf of north-western Australia. , 2014, Journal of fish biology.

[23]  Yu Wang,et al.  Efficient underwater image and video enhancement based on Retinex , 2019, Signal Image Video Process..

[24]  Daniel O. B. Jones,et al.  Response of megabenthic assemblages to different scales of habitat heterogeneity on the Mauritanian slope , 2012 .

[25]  Christopher W. Clark,et al.  Impacts of anthropogenic noise on marine life : publication patterns, new discoveries, and future directions in research and management , 2015 .

[26]  Meng Cai,et al.  Characterization of the acoustic signature of a small remotely operated vehicle for detection , 2010, OCEANS 2010 MTS/IEEE SEATTLE.

[27]  Daniel O.B. Jones,et al.  Deep water observations of Lophius piscatorius in the north-eastern Atlantic Ocean by means of a remotely operated vehicle , 2004 .

[28]  D. Stanley,et al.  Spatial Variation in Fish Density at Three Petroleum Platforms as Measured with Dual-Beam Hydroacoustics , 1998 .

[29]  Yvan Petillot,et al.  Real time AUV pipeline detection and tracking using side scan sonar and multi-beam echo-sounder , 2002, OCEANS '02 MTS/IEEE.

[30]  J. H. Cowan,et al.  The effect of artificial light on the community structure of reef-associated fishes at oil and gas platforms in the northern Gulf of Mexico , 2017, Environmental Biology of Fishes.

[31]  G. Shedrawi,et al.  Assessing reef fish assemblage structure: how do different stereo-video techniques compare? , 2010 .

[32]  W. Au,et al.  Nocturnal light and lunar cycle effects on diel migration of micronekton , 2009 .

[33]  M. Bunce,et al.  The value of environmental DNA biobanking for long-term biomonitoring , 2018, Nature Ecology & Evolution.

[34]  J. Partridge,et al.  Fish associated with a subsea pipeline and adjacent seafloor of the North West Shelf of Western Australia. , 2018, Marine environmental research.

[35]  Daniel O.B. Jones,et al.  Using existing industrial remotely operated vehicles for deep‐sea science , 2009 .

[36]  Victoria L G Todd.  Mitigation of underwater anthropogenic noise and marine mammals: the 'death of a thousand' cuts and/or mundane adjustment? , 2016, Marine pollution bulletin.

[37]  M. Benfield,et al.  The First In Situ Encounter of Gigantura chuni (Giganturidae: Giganturoidei: Aulopiformes: Cyclosquamata: Teleostei), with a Preliminary Investigation of Pair-Bonding , 2018, Copeia.

[38]  B. Seibel,et al.  Insights into the biodiversity, behavior, and bioluminescence of deep-sea organisms using molecular and maritime technology , 2017 .

[39]  S. Simpson,et al.  Habitat degradation negatively affects auditory settlement behavior of coral reef fishes , 2018, Proceedings of the National Academy of Sciences.

[40]  Martin Visbeck,et al.  Ocean science research is key for a sustainable future , 2018, Nature Communications.

[41]  M. Clancy,et al.  Impacts of Remotely Operated Vehicles (ROVs) on the behavior of marine animals: an example using American lobsters , 1994 .

[42]  James H. Swift,et al.  Sixty-Four Days of Hydrography and Storms: RVIB Nathaniel B. Palmer's 2011 S04P Cruise , 2012 .

[43]  V. Todd,et al.  Meals on Wheels? A Decade of Megafaunal Visual and Acoustic Observations from Offshore Oil & Gas Rigs and Platforms in the North and Irish Seas , 2016, PloS one.

[44]  A. Solow,et al.  Coral reef species assemblages are associated with ambient soundscapes , 2015 .

[45]  W. Richardson.  Marine Mammals and Noise , 1995 .

[46]  R. Wallace.  Is this a practical approach? , 2001, Journal of the American College of Surgeons.

[47]  S. Cochrane,et al.  Perturbation of seafloor bacterial community structure by drilling waste discharge. , 2017, Marine pollution bulletin.

[48]  Daniel O. B. Jones,et al.  Ecological Role of an Offshore Industry Artificial Structure , 2019, Front. Mar. Sci..

[49]  A. Wheeler,et al.  Reefs of the Deep: The Biology and Geology of Cold-Water Coral Ecosystems , 2006, Science.

[50]  Ashley M. Fowler,et al.  Decommissioning of offshore oil and gas structures - Environmental opportunities and challenges. , 2019, The Science of the total environment.

[51]  Michael F. Vardaro,et al.  Global Observing Needs in the Deep Ocean , 2019, Front. Mar. Sci..

[52]  Ashley M. Fowler,et al.  Some Old Movies Become Classics – A Case Study Determining the Scientific Value of ROV Inspection Footage on a Platform on Australia’s North West Shelf , 2018, Front. Mar. Sci..

[53]  Alexander B. Phillips,et al.  Autonomous marine environmental monitoring: Application in decommissioned oil fields. , 2019, The Science of the total environment.

[54]  J. Partridge,et al.  The influence of depth and a subsea pipeline on fish assemblages and commercially fished species , 2018, PloS one.

[55]  C. Davis,et al.  Contribution of fine-scale vertical structure and swimming behavior to formation of plankton layers on Georges Bank , 2004 .

[56]  M. Westoby,et al.  ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications , 2012 .

[57]  K. J. Morris,et al.  An association between a cusk eel (Bassozetus sp.) and a black coral (Schizopathes sp.) in the deep western Indian Ocean , 2016, Marine Biodiversity.

[58]  R. McCauley,et al.  Evening choruses in the Perth Canyon and their potential link with Myctophidae fishes. , 2016, The Journal of the Acoustical Society of America.

[59]  Sudhir Pai.  Autonomous Marine Vehicle: A Cost Effective Technology to Manage Risk in Exploration and Production , 2015 .

[60]  P. Macreadie,et al.  Characterizing the first wave of fish and invertebrate colonization on a new offshore petroleum platform , 2020, ICES Journal of Marine Science.

[61]  Sandra L. Diamond,et al.  Quantifying Delayed Mortality from Barotrauma Impairment in Discarded Red Snapper Using Acoustic Telemetry , 2015 .

[62]  B. Bett,et al.  Anthropogenic disturbance of deep-sea megabenthic assemblages: a study with remotely operated vehicles in the Faroe-Shetland Channel, NE Atlantic , 2007 .

[63]  Daniel O. B. Jones,et al.  The temporal and spatial distribution of krill (Meganyctiphanes norvegica) at the deep seabed of the Faroe–Shetland Channel, UK: A potential mechanism for rapid carbon flux to deep sea communities , 2012 .

[64]  Klaas Deneudt,et al.  A review of acoustic telemetry in Europe and the need for a regional aquatic telemetry network , 2018, Animal Biotelemetry.

[65]  Will Figueira,et al.  Accuracy and Precision of Habitat Structural Complexity Metrics Derived from Underwater Photogrammetry , 2015, Remote. Sens..

[66]  P. Lepper,et al.  Diel echolocation activity of harbour porpoises (Phocoena phocoena) around North Sea offshore gas installations , 2009 .

[67]  Katleen Robert,et al.  New approaches to high-resolution mapping of marine vertical structures , 2017, Scientific Reports.

[68]  J. Koslow,et al.  The role of acoustics in ecosystem-based fishery management , 2009 .

[69]  Craig S. Rose,et al.  Use of high-frequency imaging sonar to observe fish behaviour near baited fishing gears , 2005 .

[70]  M. Youngbluth,et al.  An evaluation of acoustic and video methods to estimate the abundance and vertical distribution of jellyfish , 2003 .

[71]  Ashley M. Fowler,et al.  Deep-sea observations at hydrocarbon drilling locations: Contributions from the SERPENT Project after 120 field visits , 2017 .

[72]  Roger Proctor,et al.  Australia’s continental-scale acoustic tracking database and its automated quality control process , 2018, Scientific Data.

[73]  M. Thurston,et al.  A revision of the genus Paracallisoma Chevreux , 1999 .

[74]  J. Partridge,et al.  Diel shifts and habitat associations of fish assemblages on a subsea pipeline , 2018, Fisheries Research.

[75]  Tammy Horton,et al.  Eyes in the sea: Unlocking the mysteries of the ocean using industrial, remotely operated vehicles (ROVs). , 2018, The Science of the total environment.

[76]  B. Lausen,et al.  Recovery of deep-water megafaunal assemblages from hydrocarbon drilling disturbance in the Faroe?Shetland Channel , 2012 .

[77]  B. Bett,et al.  Effects of physical disturbance on the cold-water megafaunal communities of the Faroe-Shetland Channel , 2006 .

[78]  D. Bailey,et al.  Juvenile gadoid habitat and ontogenetic shift observations using stereo-video baited cameras , 2017 .

[79]  M. Love,et al.  Ecological and political issues surrounding decommissioning of offshore oil facilities in the Southern California Bight , 2004 .

[80]  N.R. Chapman,et al.  Acoustic Classification with Single-Beam Echosounders: Processing Methods and Theory for Isolating Effects of the Seabed on Echoes , 2007, OCEANS 2007.

[81]  Passive acoustic records of seafloor methane bubble streams on the Oregon continental margin , 2018 .

[82]  Ashley M. Fowler,et al.  Environmental benefits of leaving offshore infrastructure in the ocean , 2018 .

[83]  A. Whitfield,et al.  Potential effects of artificial light associated with anthropogenic infrastructure on the abundance and foraging behaviour of estuary‐associated fishes , 2013 .

[84]  Timothy F. Duda,et al.  Acoustical Measurement of Nonlinear Internal Waves Using the Inverted Echo Sounder , 2009 .

[85]  M. Benfield,et al.  Five in situ observations of live oarfish Regalecus glesne (Regalecidae) by remotely operated vehicles in the oceanic waters of the northern Gulf of Mexico. , 2013, Journal of fish biology.

[86]  Miles J. G. Parsons,et al.  Visualizing Samsonfish (Seriola hippos) with a Reson 7125 Seabat multibeam sonar , 2013 .

[87]  Euan S. Harvey,et al.  Design and Calibration of an Underwater Stereo-video System for the Monitoring of Marine Fauna Populations , 2001 .

[88]  F. Badalamenti,et al.  Estimation of positioning error from an array of automated omnidi- rectional receivers in an artificial reef area , 2004 .

[89]  J. Pineda,et al.  Observation of very large and steep internal waves of elevation near the Massachusetts coast , 2004 .

[90]  Torbjørn Vrålstad,et al.  Comparison of Leak-Detection Technologies for Continuous Monitoring of Subsea-Production Templates , 2011 .

[91]  C. Erbe,et al.  The marine soundscape of the Perth Canyon , 2015 .

[92]  S. Pensieri,et al.  Temporal variations of zooplankton biomass in the Ligurian Sea inferred from long time series of ADCP data , 2013 .

[93]  P. Taberlet,et al.  Environmental DNA , 2012, Molecular ecology.

[94]  Shortis,et al.  A System for Stereo-Video Measurement of Sub-Tidal Organisms: Implications for assessments of reef fish stocks , 1995 .

[95]  Victor Hugo Fernandes,et al.  Pipeline inspection with AUV , 2015, 2015 IEEE/OES Acoustics in Underwater Geosciences Symposium (RIO Acoustics).

[96]  P. Tyler,et al.  Getting the bigger picture: Using precision Remotely Operated Vehicle (ROV) videography to acquire high-definition mosaic images of newly discovered hydrothermal vents in the Southern Ocean , 2013 .

[97]  J. Kocik,et al.  Aquatic animal telemetry: A panoramic window into the underwater world , 2015, Science.

[98]  Gary A. Kendrick,et al.  Efficiently measuring complex sessile epibenthic organisms using a novel photogrammetric technique , 2006 .

[99]  D. Stanley,et al.  Variation in the density and species composition of fishes associated with three petroleum platforms using dual beam hydroacoustics , 2000 .

[100]  Michele Thums,et al.  Artificial light on water attracts turtle hatchlings during their near shore transit , 2016, Royal Society Open Science.

[101]  E. A. Widdera,et al.  Using red light for in situ observations of deep-sea fishes , 2005 .

[102]  Alan J. Jamieson,et al.  Fine-scale monitoring of fish movements and multiple environmental parameters around a decommissioned offshore oil platform: A pilot study in the North Sea , 2016 .

[103]  Daniel O.B. Jones,et al.  An assessment of drilling disturbance on Echinus acutus var. norvegicus based on in-situ observations and experiments using a remotely operated vehicle (ROV) , 2010 .

[104]  Peter I. Corke,et al.  Quantifying Multiscale Habitat Structural Complexity: A Cost-Effective Framework for Underwater 3D Modelling , 2016, Remote. Sens..

[105]  C. Tindle,et al.  Resonating sea urchin skeletons create coastal choruses , 2008 .

[106]  C. Erbe,et al.  Patterns of biophonic periodicity on coral reefs in the Great Barrier Reef , 2017, Scientific Reports.

[107]  Robert J. Wood,et al.  Soft Robotic Grippers for Biological Sampling on Deep Reefs , 2016, Soft robotics.

[108]  Maia Hoeberechts,et al.  The Power of Seeing: Experiences using video as a deep-sea engagement and education tool , 2015, OCEANS 2015 - MTS/IEEE Washington.

[109]  M. Benfield,et al.  In Situ Video Observations of Two Manefishes (Perciformes: Caristiidae) in the Mesopelagic Zone of the Northern Gulf of Mexico , 2009, Copeia.

[110]  C. Dunn,et al.  Description of Tottonophyes enigmatica gen. nov., sp. nov. (Hydrozoa, Siphonophora, Calycophorae), with a reappraisal of the function and homology of nectophoral canals. , 2018, Zootaxa.

[111]  J. Partridge,et al.  An assessment of fish and marine growth associated with an oil and gas platform jacket using an augmented remotely operated vehicle , 2019, Continental Shelf Research.

[112]  M. Benfield,et al.  First in situ observations of the deep-sea squid Grimalditeuthis bonplandi reveal unique use of tentacles , 2013, Proceedings of the Royal Society B: Biological Sciences.

[113]  S. Szedlmayer,et al.  Home range and movement patterns of red snapper (Lutjanus campechanus) on artificial reefs , 2011 .

[114]  Robyn N. Conmy,et al.  Methods of oil detection in response to the Deepwater Horizon oil spill , 2016 .

[115]  J. Elvander,et al.  ROVs and AUVs in support of marine renewable technologies , 2012, 2012 Oceans.

[116]  Tom Kwasnitschka,et al.  In situ growth rates of deep-water octocorals determined from 3D photogrammetric reconstructions , 2016, Coral Reefs.

[117]  Jonathan P. Williams,et al.  Oil platforms off California are among the most productive marine fish habitats globally , 2014, Proceedings of the National Academy of Sciences.

[118]  S. King.  Marine mammal observer and passive acoustic monitoring handbook , 2015 .

[119]  John C. Montgomery,et al.  Localised coastal habitats have distinct underwater sound signatures , 2010 .

[120]  R. Tinoco,et al.  Sediment Resuspension Due to Near‐Bed Turbulent Effects: A Deep Sea Case Study on the Northwest Continental Slope of Western Australia , 2018, Journal of Geophysical Research: Oceans.

[121]  M. Benfield,et al.  Documenting deepwater habitat utilization by fishes and invertebrates associated with Lophelia pertusa on a petroleum platform on the outer continental shelf of the Gulf of Mexico using a remotely operated vehicle , 2019, Deep Sea Research Part I: Oceanographic Research Papers.

[122]  Stefan B. Williams,et al.  Return to Antikythera: Multi-session SLAM Based AUV Mapping of a First Century B.C. Wreck Site , 2015, FSR.

[123]  Andrés García,et al.  Daily movement patterns of red snapper (Lutjanus campechanus) on a large artificial reef , 2019, Fisheries Research.

[124]  Daniel O. B. Jones,et al.  Mass deposition event of Pyrosoma atlanticum carcasses off Ivory Coast (West Africa) , 2009 .

[125]  A novel upward-looking hydroacoustic method for improving pelagic fish surveys , 2017, Scientific Reports.

[126]  Charitha Pattiaratchi,et al.  Understanding the Global Scientific Value of Industry ROV Data to Quantify Marine Ecology and Guide Offshore Decommissioning Strategies , 2018 .

[127]  Ovidio Salvetti,et al.  Acoustic data analysis for underwater archaeological sites detection and mapping by means of autonomous underwater vehicles , 2015, OCEANS 2015 - Genova.

[128]  Milton S. Love,et al.  Fish assemblages around seven oil platforms in the Santa Barbara Channel area , 2000 .

[129]  C. Erbe,et al.  Detection of sharks with the Gemini imaging sonar , 2014 .

[130]  Chandra Salgado-Kent,et al.  Characterizing diversity and variation in fish choruses in Darwin Harbour , 2016 .

[131]  Craig J. Brown,et al.  A Review of Oceanographic Applications of Water Column Data from Multibeam Echosounders , 2014 .

[132]  S. Szedlmayer,et al.  Fine‐Scale Movements and Home Ranges of Red Snapper around Artificial Reefs in the Northern Gulf of Mexico , 2014 .

[133]  S. Einbinder,et al.  Descending to the twilight-zone: changes in coral reef fish assemblages along a depth gradient down to 65 m , 2008 .

[134]  Ken Collins,et al.  The Poole Bay artificial reef project , 2000 .

[135]  Nicholas D. Higgs,et al.  Fish Food in the Deep Sea: Revisiting the Role of Large Food-Falls , 2014, PloS one.

[136]  B. Bett,et al.  Autonomous Underwater Vehicles (AUVs): Their past, present and future contributions to the advancement of marine geoscience , 2014 .

[137]  P. Macreadie,et al.  Quantitative analysis of fish and invertebrate assemblage dynamics in association with a North Sea oil and gas installation complex. , 2018, Marine environmental research.

[138]  Anne Walls,et al.  Asphalt mounds and associated biota on the Angolan margin , 2014 .

[139]  J. Houghton,et al.  Seeking the sun in deep, dark places: mesopelagic sightings of ocean sunfishes (Molidae). , 2015, Journal of fish biology.

[140]  J. Partridge,et al.  Using industry ROV videos to assess fish associations with subsea pipelines , 2017 .