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Keywords: algorithm
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Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, October 24–26, 2023
Paper Number: OMC-2023-428
... Abstract In this paper, we introduce a data-driven framework which combines a feature derivation to be the backbone of a behaviour model developed for fleet of wind turbines. The feature derivation component involves the use of a multivariate feature selection algorithm based on a novel...
Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, October 24–26, 2023
Paper Number: OMC-2023-469
... are digitalized, merged and processed by the navigation algorithms supported by A.I. based computing tools in order to ensure the pre-determined inspection pattern is complied with. Transition from a DVL based tracking to a pure video-referenced navigation has been one of the most demanding features to be dealing...
Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, October 24–26, 2023
Paper Number: OMC-2023-300
... scenario upstream oil & gas integration schema reboiler rvp experimental result prediction manufacturer algorithm anomaly probability effectiveness bi-rex consortium neural network italy government separator university knowledge integration e-maintenance customer KNOWLEDGE...
Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, October 24–26, 2023
Paper Number: OMC-2023-333
...., basins, reservoirs, wells). In order to achieve this goal, the pictures in the papers must be processed with very advanced automatic algorithms, such as: Image Classification algorithms, to distinguish images that can be considered as maps from images with different content (e.g. well logs, seismic...
Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, October 24–26, 2023
Paper Number: OMC-2023-372
... characterization complex reservoir information reservoir geomechanics simulation fracture artificial intelligence geological subdiscipline structural geology hydraulic fracturing machine learning network dmx protocol vug algorithm protocol fault and fracture system artificial intelligence in3d...
Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, October 24–26, 2023
Paper Number: OMC-2023-381
... (UAV) for autonomous in-plant inspections and the problem of recognizing and targeting objects to be inspected within the scene displayed by a camera on robot board, providing an example of a customized implementation of existing algorithms modified and developed to suit the industrial environment...
Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, October 24–26, 2023
Paper Number: OMC-2023-391
... countryvision workflow infrastructure algorithm incentive environment di lullo COUNTRY VISION A TOOL TO DEVELOP AND ASSESS ENERGY TRANSITION PATHS Alberto G. Di Lullo, Giammarco Gioco, Roberto Ferrario, Eni S.p.A. This paper was presented at the 16th OMC Med Energy Conference and Exhibition in Ravenna...
Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, September 28–30, 2021
Paper Number: OMC-2021-085
... artificial intelligence constraint sea state ocean energy sustainability controller contribution control system social responsibility economic contribute hull disturbance torque matrix control parameter robustness equation algorithm cost function sustainable development...
Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, September 28–30, 2021
Paper Number: OMC-2021-019
... reservoir characterization deep learning natural language structural geology machine learning neural network annotator paragraph information query traversal ontology node basin data flow artificial intelligence upstream oil & gas pipeline algorithm lithology geological...
Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, September 28–30, 2021
Paper Number: OMC-2021-063
... Abstract Today and more than ever before, there is a necessity to reduce drilling time and optimize operations. This paper discusses the implementation of a system that monitors rig and equipment parameters and applies machine learning algorithms to reduce NPT, improve equipment efficiency...
Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, September 28–30, 2021
Paper Number: OMC-2021-020
... basis. Then, up to 4 classical input data are squeezed into the quantum state of a single qubit through an "encoder" quantum circuit. Compressed information can then be retrieved by suitably measuring this latter qubit. The paper shows that the reversed algorithm allows to reconstruct the original state...
Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, September 28–30, 2021
Paper Number: OMC-2021-090
...) of the available logs, in order to further assess the reliability of derived reconstructed logs. In fact, a detailed QC on the complete log dataset is performed. Then, the implemented ML methodology takes advantage of a dedicated algorithm that learns through experience how the available input logs (compressional...
Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, September 28–30, 2021
Paper Number: OMC-2021-040
... involving visual examination of cores and assigning facies manually is a tedious and a time-consuming process. Nevertheless, most machine learning classification algorithms accuracy is reduced when the facies to be classified are not represented equally in the dataset i.e. the problem of data imbalance...
Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, September 28–30, 2021
Paper Number: OMC-2021-169
... drilling data acquisition machine learning equation of state mud logging / surface measurements log analysis upstream oil & gas well logging concentration drilling measurement artificial intelligence model prediction composition algorithm fluid prediction workflow information...
Proceedings Papers

Paper presented at the Offshore Mediterranean Conference and Exhibition, March 27–29, 2019
Paper Number: OMC-2019-0935
.... These data are then analysed through Machine Learning and Deep Learning algorithms which are incorporated within the agents. The machine learning algorithms estimate the current state of the equipment and provide a set of KPIs in order to understand both the production efficiency and the health status...
Proceedings Papers

Paper presented at the Offshore Mediterranean Conference and Exhibition, March 27–29, 2019
Paper Number: OMC-2019-1007
... energy sector algorithm quantum mechanics qubit quantum annealer nonnegative matrix factorization solve optimization problem quantum computer superposition digital revolution quantum computing computer vector matrix factorization implementation optimization problem universal...
Proceedings Papers

Paper presented at the Offshore Mediterranean Conference and Exhibition, March 27–29, 2019
Paper Number: OMC-2019-1045
... & gas numerical algorithm misalignment assembly compute node information displacement microcontroller communication system sensor communication riser algorithm optical communication integration packet laser riser shape pod optical component 1 NEPTUNE - RISER SHAPE MONITORING...
Proceedings Papers

Paper presented at the Offshore Mediterranean Conference and Exhibition, March 27–29, 2019
Paper Number: OMC-2019-1097
... modeling is based on a 1D fast forward modeling algorithm implemented in an inversion scheme. Additional conventional logs (neutron, density, gamma ray) are modelled geometrically using weighted average functions to correct for shoulder bed effects. Of significant importance is the use of common formation...
Proceedings Papers

Paper presented at the Offshore Mediterranean Conference and Exhibition, March 27–29, 2019
Paper Number: OMC-2019-1034
... classification. We want to achieve the automatic classification of the pore types by using only the geometrical, morphological and some simple appearance features of the pores as extracted from the images. We use an unsupervised algorithm to cluster the pores and from the result obtained, the type of the pores...

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