1-20 of 115
Keywords: neural network
Close
Follow your search
Access your saved searches in your account

Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35939-MS
... neural network artificial intelligence reservoir surveillance production monitoring f1-score production control machine learning dataset detection anomaly detection anomaly generalized model tranad specialized model minmaxscaler anomaly type variability effectiveness non-anomalous data...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35804-MS
...) soils offshore New Jersey. A feedforward neural network (FNN) algorithm was adopted in the current exercise, which refers to the data moving into one direction from the input layer through the multiple hidden layers and finally to the output layer ( Figure 2 , Ibrahem et al. (2020) ). The primary goal...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35821-MS
... ). Many image processing methods have developed for the underwater applications and many have been transferred to the mobile computing devices with limited computational power [ 6 ]. Recently, advancements in deep learning have enabled deep neural networks (DNNs) to achieve remarkable success in solving...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35582-MS
... in reducing manual effort for engineers, and (iv) advancing towards a new DT functionality that derives an asset 3D representation, that is faithful to physical reality, through the automatic interpretation of point cloud scans. deep learning point cloud neural network artificial intelligence...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35605-MS
... Forest, and deep learning techniques such as Neural Networks. An ensemble model, trained on the outputs of these models, consolidates their predictions into a final assessment. This ensemble prediction informs the decision to undertake maintenance operations, either preemptive or corrective, based...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35771-MS
..., Propane, Isobutane) that are closely related to the Rate of Penetration (ROP). These parameters are then input into a deep neural network (DNN) for advanced feature extraction, capturing complex nonlinear relationships. The extracted features are fed into a Transformer model, which utilizes its self...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35937-MS
... detection and labeling. By understanding the physics behind tag plug and through plug events and leveraging advanced detection methods, coiled tubing operations can achieve enhanced efficiency and improved decision-making. deep learning neural network coiled tubing operations hydraulic...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 5–8, 2025
Paper Number: OTC-35680-MS
... rates in single-phase wells. However, their inability to account for varying operational scenarios and field uncertainties presents significant limitations. This paper presents the application of a machine learning-based framework, specifically combination of Neural Network models, to predict the future...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35313-MS
... numerical simulations and data-based models. The available data at a point in the Santos Basin, Brazil, was: 5 deterministic forecast models and 80 members from probabilistic forecast simulations and in-situ wave buoy measurement. Ensemble means and neural networks forecasts were calculated and compared...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35394-MS
... conditions in ultra-deepwater environments pose significant challenges to the design of SCRs. To achieve efficient and reliable operation of SCRs under these extreme conditions, this study proposes an intelligent optimization design method based on enhanced Graph Neural Networks. Initially, considering...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35364-MS
... and computer vision, deep learning (DL), particularly convolutional neural network (CNN) as well as its derivatives, has been widely adopted into automating the process of subsurface mapping for hydrocarbon exploration and production (E&P) and improving its quality (e.g., Wang et al., 2018 ; Abubakar et...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35476-MS
.... geologist sedimentology structural geology sedimentary geology reservoir simulation artificial intelligence depositional environment stratigraphy reservoir characterization neural network prediction interpretation cpt prediction offshore technology conference kriging machine learning...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35230-MS
... makes it possible to conduct more detailed and accurate forecasts, which can help to improve the safety and efficiency of CO 2 storage projects. air emission deep learning subsurface storage fluid dynamics reservoir simulation reservoir surveillance geologist neural network petroleum play...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35306-MS
... analysis. It iteratively refines the classification by strategically grouping data points based on their proximity in the dual-parameter domain. Then, a Convolutional Neural Networks (CNN) architecture is designed to synthesize the outcomes of the clustering analysis with the extensive dataset obtained...
Proceedings Papers

Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35168-MS
... artificial intelligence in general and particularly generative AI could transform the human-machine interaction in the oil and gas industry, covering specific examples in the fields of artificial lift and power generation. Statement of Theory and Definitions neural network artificial lift system...

Product(s) added to cart

Close Modal