October ETM - Artifishal Intelligence

The Society for Underwater Technology invite you to the October 2024 Evening Technical Meeting:

The evening will focus on the following three topics:

Optimising Subsea Tieback Iteration with Machine Learning

Chris Madeley, SEA Global

In subsea network design, optimizing network layout and sizing is critical for overall development success. Traditional integrated modelling tools often struggle with the trade-off between speed and accuracy during iterative design, leading to suboptimal results. SEA has developed a submodelling framework that flexibly integrates various calculation components. By applying machine learning techniques, SEA automates the creation of surrogate models from detailed flow assurance (FA) modelling results, attaining both excellent accuracy and speed. This innovative approach enables the evaluation of multiple scenarios in parallel, providing robust solutions in a fraction of the duration previously required. This presentation outlines the high-level framework adopted, and how it is a natural extension of SEA’s existing approach to automated modelling and structured data management.

An application of machine learning to the motion response prediction of floating assets

Dr Michael Morris-Thomas, Worley

Of interest to offshore engineers, oceanographers, and naval architects is the ability the accurately predict and forecast the behaviour of floating assets under the influence of stochastic met ocean conditions. Historically, this has been achieved through a combination of both empirical and frequency domain methods. However, when the behaviour of a floating asset produces non-linear motion responses, these traditional approaches break-down in accuracy. However, with the advent of sophisticated and more mature machine learning algorithms, a different and more efficient approach is afforded.

In this presentation, we will discuss the application of machine learning through multivariate regression to predict the non-linear response of a single point moored, and passively weathervaning, offshore floating facility. In particular, we demonstrate the importance of algorithm selection, dimensional reduction, and pre-computing physically significant parameters before model training commences. Subsequently, we then illustrate the validation of a bespoke machine learning process involving a gradient boosted ensemble method, coupled with a passive weathervaning solver, that was trained over a moderately sized met ocean and mooring response dataset in the order of several million samples. Finally, we demonstrate the model's utility in predicting typical mooring responses of a floating asset and outline how this scheme is applied for both forecasting and monitoring purposes

Use of Digital Twin to Assist in Operational Asset Management

Chris Saunders, INPEX & Mike Smith, Wood

The ongoing management of offshore operational assets presents many challenges. Ensuring production schedules are maintained whilst risks are appropriately understood and managed requires prudent decision making, informed by actual field / production data and a thorough understanding of the response of the production system.

INPEX has been operating the Ichthys field for greater than 5 years, with Wood providing engineering support services where required. This presentation outlines the details of one of the specific challenges facing INPEX whilst operating (associated with lateral buckling) and the way in which Wood has helped manage this challenge via a digital twin of the asset. This digital twin mirrors the critical section of the relevant pipeline and has been used to inform project decisions regarding operating parameters such as increased flow rates and temperatures.

Programme:

Please note the AGM will be held prior to the October ETM from 4.30-5.30pm

Register here for AGM

5.30 pm – 5.55 pm Registration & Networking

6.00 pm – 7.30 pm ETM Presentations

7.30 pm – 8.30 pm Networking drinks & nibbles

For more information about the event visit our .

Contact: SUT (08) 9481 0999 or [email protected]

Evening Technical Meetings cost:

Early Bird (For bookings up to 3rd October 2024)

• $40 SUT Members
• $60 for Non-members
• $ 25 Student
• $160 for Corporate Member: Group Booking for 5pax**
• $290 for Corporate Member: Group Booking for 10pax**

Season Pass Registration (available for sale anytime)

• $175 for Members: 5-Ticket Season Pass*
• $290 for Non Members: 5-Ticket Season Pass*

* indicates registration for 5 consecutive Evening Meetings. You will automatically be registered for this ETM plus the following 4 Evening Meetings so further registration is not required. Should you be unable to attend one of these meetings then registration is transferable to another SUT member. To transfer a registration please email [email protected] with any changes to attendees.

** indicates registration for 5 or 10 places at this ETM.

Regular Registration (For bookings from 4th October 2024 until 2pm on 9th October 2024)

• $50 SUT Members
• $70 for Non-members
• $230 for Corporate Member: Group Booking for 5pax
• $440 for Corporate Member: Group Booking for 10pax

Late Registration/Onsite (For bookings after 2pm on 14th August 2024)

• $55 SUT Members
• $75 for Non-members

Terms & Conditions for this event:

SUT Evening Technical Meeting registrations are online and will be sold on a first come, first served basis.

To confirm your place at the above SUT Evening Technical Meeting, you must register and pay online prior to the event. As this event series has previously sold out, early registration is recommended. Please note, online registration closes at 2pm on the day (unless sold out prior).

Payment during the registration process (via credit card or invoice) is required in order to secure your place/s. If using credit card it will be deducted at the time of registration and an email confirmation and email receipt/tax invoice from Eventbrite will be forwarded to the stipulated email address. If invoice requested, it will be sent to your email address at time of registration and payment will be required within 14 days from receipt of invoice. If payment is not received within this time your registration may be cancelled.

*Registrations are editable online via your Eventbrite registration link until 2pm on the day.

Cancellations

Registrations are fully refundable up until 1 week prior to the event, after this point they are transferable to a nominated person. If not able to transfer no refunds will be offered.

Should our event be postponed due to government regulations surrounding COVID-19, attendees will have the option to have their ticket transferred to the postponed date or receive a full refund.

To confirm if your organisation is a Corporate Member please check the event flyer or visit www.sut.org/sut-pages/

1.5 CPD hours can be claimed for this event. Please keep the flyer and receipt for auditing purposes.

Should you have any questions please contact SUT on the above listed contact details.

For more information about the event visit our .

Contact: SUT (08) 9481 0999 or [email protected]

THIS ETM IS PROUDLY SPONSORED BY:

Event Venue & Nearby Stays

Parmelia Hilton Perth, 14 Mill Street, Perth, Australia