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Keywords: prediction
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Proceedings Papers

Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35055-MS
... campaign were to validate the hydraulic performance prediction and assess the rotordynamic behavior of the pump when operated with a dense fluid. Additionally, a series of slug tests were performed to prove the robustness of the pump in case of the transient high-load scenarios. The pump passed all...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35143-MS
... at both SRK and PR78 results, and they give similar predictions for the error in JT cooling. However, this paper will only show PR78 results and a limited amount of GERG results. Test Procedure Field data was collected for 28 wells across 9 different natural gas fields around the world...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35104-MS
... In this paper, we adapt and apply the promising Machine Learning for Low-Cost Offshore Modelling (MaLCOM) framework – originally proposed by the present authors for the prediction of wave conditions on part of the European North West Shelf ( Chen et al., 2021 , 2023 ) – to the waters of the Gulf...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35157-MS
... predictions of fatigue damage. Through extensive case studies, the effectiveness of this advanced approach in accurately predicting fatigue damage in offshore jacket structures is demonstrated, showcasing its alignment with international standards like DNV-RP-C203 and significantly enhancing the precision...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35160-MS
... and calibrated for a metal material. The maximum shear stress (MSS) damage model, calibrated with a single uniaxial tension test, demonstrated good performance in capturing the complex variation in critical failure strain. Implementation of the MSS damage model in FEA facilitated accurate prediction of crack...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35276-MS
... and evaluating a range of machine learning models—including Decision Tree, Linear Regression, Random Forest, Support Vector Regression (SVR), K-Nearest Neighbors (KNN), AdaBoosting, Gradient Boosting, Stacked Super Learner, and Multilayer Perceptron Neural Network (MLPNN)—for predicting bubble-point pressure...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35238-MS
... predominantly on Mercia Mudstone, this research introduces a novel approach in assessing pile drivability through rock formations. The SRD model, an advancement of the Stevens et al. (1982) method, incorporates modifications to better predict unit shaft and tip resistance in rock formations. The model's...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35230-MS
... and reuse of machine learning features from one unconventional field to another. They "transferred" parameters "learned" from Bakken shale to predict production in Eagle Ford with less historical data. Similarly, Odi et al., (2021) leveraged transfer learning to reduce uncertainty and increase accuracy...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35221-MS
... landslide events, therefore, models that are trained on features of previous landslide events can provide predictions for future landslide events. To characterize the potential spatial distribution of areas susceptible to landslides at the seafloor, we utilized a gradient boosted decision tree (GBDT...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35332-MS
..., especially the oil industry. In the oil exploration and production activity, specifically in the Reservoirs and Wells areas, the use of AI has been growing exponentially, with applications ranging from reservoir drainage plan evaluation ( CARDOSO et al., 2017 ) to predicting well instability issues during...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35325-MS
... determined both offshore in a field laboratory and onshore in a geotechnical laboratory. Recently, artificial intelligence (AI), machine learning, and deep learning have been the subject of intense media hype and therefore it was deemed appropriate to develop a deep-learning algorithm (DLA) to predict V S...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35350-MS
... social responsibility sustainable development sustainability research and development subsea production equipment qualification operator supplier all-electric xmas tree subsea system iso 14224 availability application prediction controls and umbilicals iso 20815 climate change...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35362-MS
... due to concerns about the statistical nature of predictions and the sparsity of available training data. Deep neural networks (DNNs) are a purely data-driven machine learning model that require large quantities of labeled data to make accurate statistical predictions in their trained domain...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35373-MS
... chain is important for operators in the offshore oil and gas industry. While this topic has been a subject of several studies, actual fatigue consumption of a mooring chain due to corrosion, in-service loads and predicting the remaining fatigue life of the same chain in permanent floating structures...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35371-MS
... Addressing the complexities of VIV requires a more sophisticated approach, and in recent times artificial intelligence (AI) has emerged as a transformative tool in tackling this intricate problem. By harnessing the power of AI, researchers and engineers can achieve more accurate predictions...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35359-MS
... offshore stakeholders to plan and assess upcoming activities based on accurate prediction of vessel response with the objective of reduced waiting on weather without compromising safety. This paper introduces an enriched understanding of how the VMBC method is used in real life operations. A methodology...

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