... flooding resulting to loss of power, which are investigated using a combined methodology. The first step in the proposed approach is the development of a conceptual architecture for both the ship and the decay heat removal system. Using these architectures, a series of sinking simulations are conducted...

.... deep learning neural network coiled tubing operations hydraulic fracturing completion installation and operations operation artificial intelligence machine learning plug event tag plug event detection operator architecture offshore technology conference surface weight downhole state...

... completion system supplier packer silva jr architecture risk management process offshore technology conference metallic expandable openhole feedthrough packer development reliability distribution Introduction The completion architecture for wells equipped with intelligent completion systems...

... drilling mud reports while maintaining near-perfect accuracy with negligible computational time and high consistency of the results. The architecture of the model is designed to effectively handle reports from various existing drilling fluid vendors. Furthermore, it is built to process reports from new...

... with their development, which can introduce significant risks related to cost and schedule. Furthermore, recent years have seen a shift in Brazil projects portfolio, with a growing prevalence of Revitalization Projects in mature fields, long tiebacks, and shared subsea architectures. To address the increasing demand...

... artificial intelligence stakeholder digital twin server architecture assurance dnv-rp-a204 ddv qualification requirement verification infrastructure dnv-rp-0497 acceptance criteria Introduction Stakeholders are establishing confidence in systems and assets based on assessments...

... 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 In either case, using...

... 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...

... improved accuracy over reference DNNs. A PINN of novel architecture embedded with the hydrate intrinsic kinetics equation was built in TensorFlow. Flowloop data from pilot-scale flowloops was used for the training and evaluation of the presented PINN. Performance was compared to two DNNs for plugging risk...

... the industry closer to its objectives of reduced environmental impact. operation simulation machine learning application artificial intelligence utilization architecture offshore technology conference drilling equipment cosine similarity offshore drilling operation weather metric enhancing...

...-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...

... on the existing graph data structure, this paper selects three successful graph pooling layers (average pooling layer, max pooling layer, and min pooling layer) for tuning the graph neural network architecture. Enhanced GNN Neural Network Performance and Optimization Assessment Utilizing a variety...

... 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 of which a radical digital transformation is needed to guarantee their environmental and economic...

... the need for carbon-heavy backup systems 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...

... 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...

... architectures identified in previous studies and to evaluate their sensibility towards water depth, step-out, fluid composition and bathymetry. First, real gas fields were selected, the portfolio was completed with notional cases constructed on analogs to reach a good mapping in depth and distance to shore...

.... The paper could trigger discussions 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...

... there may be lags 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...

... 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...