ADCPs & DVLs: Recent Tech Developments
in an innovative solution - the hybrid acoustic-inertial navigator SPRINT-Nav. Here, the DVL transducers, the inertial motion unit and the depth sensor are housed together, offering a number of advantages. For instance, the individual DVL beams are used to update the INS solution while also computing a DVL velocity vector. The result is a more accurate and robust acoustic-inertial solution where the INS can discard individual beam measurements and persist even when some DVL beams lose bottom lock. Alignment offsets between the different sensors are calculated at the factory so the system can
Protecting Subsea Cabling
these issues can prove.Fortunately, ‘Distributed Acoustic Sensing’ (DAS) technology provides a ready-made solution for the offshore wind industry to monitor and protect these crucial cables.Clarity and confidenceBy harnessing cutting-edge photonics, advanced artificial intelligence and edge computing, DAS converts subsea cables into an ecosystem of highly-sensitive, individual vibrational sensors, enabling the successful detection and classification of a wide range of threats.DAS identifies, with clarity and confidence, the different disturbances that impact cabling in offshore wind farms,
Subsea Tech's 'March of Miniaturization'
smart ROV.The Seasam weighs in at 9kg and is the missing link between a small and compact but piloted ROV and bigger ROVs packed with kit that cost a lot. Nicolas Gambini, the Marseille-based company’s co-founder and CEO, says NotiloPlus is enabling a small vehicle with a lot of smarts through computing power. “Machine learning and software allows you to do positioning and sensing,” he says. “For positioning, you need to use lots of hardware, but we wanted this to be as cheap as possible. So, for less than the price of one high-end positioning sensor we have a system that uses
10 Tech Trends to Impact Shipping Industry
insight into the entire value chain for individual products.Traditional business models will be disrupted. Space, which was once reserved for state players, will continue to be transformed by private enterprises, who are driving down costs, for example through reusable launchers, enabled by advances in computing and manufacturing. The scope of Big Tech will widen as data becomes an increasingly important commodity, putting it toe-to-toe (and sometimes in partnership) with Big Pharma, for example.Remi Eriksen, Group President and CEO of DNV GL, said, “In an era where unicorns and mega-tech companies
Subsea Digital Alliance Launched
Wells. Software that helps drilling engineers make cost efficient, safe and effective oil wells.FutureOn - Field Development. FieldTwin is a data visualization and collaboration cloud platform that helps field developers make better and faster decisions.Entail – Engineering. Automation and cloud computing to dramatically increase the efficiency of analysis engineering workflows using Orcaflex integrated with FieldTwin.WINS - Operations. Delivering wireless systems for operators to retrofit live downhole data to enable a true digitalization of the field for optimized production and recovery.Digital
IBM Joins Mayflower Autonomous Ship Project
centenary of the original Mayflower voyage in September 2020.A new Mayflower will set sail 400 years after the historic voyage, this time using AI and other advanced technologies, the American IT major said.The Mayflower Autonomous Ship (MAS) will use IBM’s AI, advanced servers, cloud and edge computing technologies to navigate autonomously and avoid ocean hazards as it makes its way from Plymouth, England to Plymouth, Massachusetts. During the 12-day voyage, the ship will be powered mainly by wind and solar energy."Putting a research ship to sea can cost tens of thousands of dollars or pounds
EOMAP Wins Funding for Next-Gen Satellite-Derived Bathymetry
to generate depth measurements and seafloor characteristics for regions of shallow water. Developed 20 years ago by EOMAP scientists then at DLR (Germany) and CSIRO (Australia), SDB’s potential to create a continuously updated global database of shallow-water bathymetry is hampered by the heavy computing power required to process the large amounts of data now available.The new funding will allow EOMAP to push ahead with new SDB procedures based on high-performance scientific computing employing field programmable gate arrays (FPGAs). FPGAs are semiconductor devices that can be programmed by the
WFS Appoints Darroch as CTO
.Jim Darroch has been appointed CTO to own the company’s product vision and roadmap, and to expand the product engineering team to meet growing client demands for its existing product range.WFS allows operators to monitor subsea infrastructures with their patented Seatooth real-time and edge computing sensors that view, detect, measure and report on variances against conditions including temperature, vibration, leak, corrosion and cracking. This results in improved safety and asset integrity, lower installation and maintenance costs over the life of the offshore structure.Darroch brings with
Kraken's OceanVision Moving Ahead
quarter of 2019, has said it believes the project could grow as additional stakeholders, technologies and products are added to the project scope.Karl Kenny, Kraken's President & CEO said, "OceanVision is a unique business model, offering a combination of sensors, underwater robots, cloud computing and artificial intelligence. Under OceanVision, clients do not need to purchase expensive data acquisition hardware and analytics. Instead, they can lease the robotic devices to acquire the ultra-high-resolution subsea data that they need. The data captured by robots across different locations
WFS Unveils Riser Monitoring System
environments.“We believe this will lead to improved safety, reduced risk of environmental incidents and reduced costs,” he said.Riser monitoring sensor data is used to validate riser fatigue analysis methods and recalibrate existing predictive models. The WFS sensors are enabled with edge computing that can be used to validate the model in subsea conditions, and report data in real time. Edge computing enables the fatigue model to be uploaded to each sensor. Analysis is undertaken locally, with the relevant data logged on the sensor and any deviation from the model communicated wirelessly
