... intelligence machine learning implementation operation module project management strategic planning and management platform operator maintenance risk management floating production systems representation application dynamic simulation dimension architecture scenario Since the expression...

... a portfolio of promising design solutions currently available for the hydrogen value chain offshore and identify the most promising architectures for their deployment. Hydrogen value chain is broken down by function and then by single process unit where applicable. Comparison of different design choices (i.e...

... to predict hydrate plugging risk. Training was directed by the mean squared error of the model's prediction against flowloop data and, critically, the residual of the hydrate intrinsic kinetics equation. The trained model showed improved accuracy over reference DNNs. A PINN of novel architecture embedded...

... waves, swell waves, wind, and current. To train a machine learning model, capable of predicting in any given weather condition the environmental parameters are varied over thousands of simulations. Physics-Informed Neural Network (PINN) Architecture Abstract This paper delves into the framework...

...-fidelity models, it is driven by real time measurements of a few sensors along the riser, and provides real-time fatigue life predictions with uncertainty quantification. riser marine riser machine learning vibration operator artificial intelligence sensor architecture prediction karniadakis...

... for correlation analysis of steel catenary risers and the design of graph data architecture. Design of Steel Catenary Risers Abstract With the continuous global demand for oil and advances in deepwater drilling technology, the development of deepwater oil and gas resources has become increasingly...

... hereafter). Different subsea applications can moreover greatly benefit from the adoption of IoUT-based monitoring architectures, not only in conventional Offshore Oil&Gas applications, but also within the more innovative Renewable Energy, CCS and eventually the emerging deep-sea mining sectors, for all...

... such as diesel generators, thereby resulting in a much cleaner energy future. The proposed offshore architecture is modeled using a Hydrogen Energy Storage System (HESS) along with offshore renewables (primarily wind energy), subsea loads (such as drives for pumps, compressors, etc.), and a medium voltage DC...

... artificial intelligence stakeholder digital twin server architecture assurance dnv-rp-a204 ddv qualification requirement verification infrastructure dnv-rp-0497 acceptance criteria Introduction The assurance of digital twins ( DNV-RP-A204, 2023 ) is based on technology qualification...

... The use of rigid pipelines in underwater engineering projects is based on their proven robustness and extensive history of use in the oil and gas industry. However, market limitations and challenging schedules are offensive agents to this type of architecture that need to be mitigated...

... around a new best practice recommendation about the interface topsides/subsea electrical infrastructures. protection system protection function aerfugl phase 2 voltage electrically heat-traced flowline system piping design cable lim architecture piping simulation electrical system short...

... of unknown duration between different drilling parameters, a properly designed time series analysis model may be able to capture their relationships and make reasonable predictions. Recurrent Neural Network with long short-term memory (RNN-LSTM) architecture is a deep learning algorithm capable of making...

... was also evaluated. Thermo hydraulic calculations have been launched for a high number of cases to confirm the robustness of subsea processing architectures identified and to evaluate their sensitivity towards water depth, step-out, fluid composition and bathymetry. First, real gas fields were...

... a Gulf of Mexico Deepwater well where asphaltene precipitation and deposition is known to occur. The ML architecture can ingest real-time data in batch, maintained by OSI PI historian. The architecture is proved to detect anomalies hours or days before a shut-in event happens, so that operators can take...

... Abstract The paper discusses integrated all-electric solutions (iAES) that offer significant optimisation of field architecture and enhanced viability of both greenfield and brownfield developments. The discussion will be on field optimisations related to power and subsea chemical distribution...

... governing docs, etc) that is a very resource-consuming process prone to errors. strategic planning and management semantic web information management artificial intelligence project management upstream oil & gas information processing system ontology data model application architecture...

... use case inspection ground robot artificial intelligence robot manufacturer robot robot is operator requirement integration manufacturer abu dhabi international petroleum exhibition operation totalenergy offshore technology conference automation architecture Introduction...

...-31083-MS) [ 17 ]. Following the functional safety methodology acc. to the IEC 61508, IEC 61511 and ISO 13849, this work provides a comparison between a control architecture with mechanical springs and another with electric batteries, considering the whole product life cycle (design, manufacture...

... production trees, manifolds, and a boosting station, together with a subsea distribution and control system. Based on this architecture, an alternative field concept optimized for partial electric actuation resulted in very competitive commercial scenarios in addition to operational benefits and increased...

... Abstract Standard field architecture is generally based on topsides production and distribution of power and chemicals necessary to operate equipment in drill centers. The paper will present efficient field architectures adapted to operate remote tie-backs with different combinations of subsea...