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Keywords: algorithm
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Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, April 8, 2025
Paper Number: OMC-2025-528
... sustainability optimization problem social responsibility operation artificial intelligence sustainable development storage ems aes incentive energy demand algorithm cogeneration incentive constraint white certificate forecast martelli ambient temperature generator politecnico...
Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, April 8, 2025
Paper Number: OMC-2025-558
... the potential of AI to improve predictive capabilities, reduce human error, and optimize operational performance. The methodologies discussed highlight the integration of machine learning algorithms, real-time data analysis, and advanced optimization techniques to address industry challenges. INTRODUCTION...
Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, April 8, 2025
Paper Number: OMC-2025-561
..., and considers the day-ahead market according to the EU framework), meaning that it can be easily adapted to different requirements. However, the focus of the proposed algorithm in this paper is specifically related to the Spanish market. This procedure may investigate both stand-alone and BESS hybrid-renewable...
Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, April 8, 2025
Paper Number: OMC-2025-569
... field inversion algorithms for the real-time determination of acoustic slowness and improved resolution. Instances of how a novel digital multiarray processing technique is applied to improve the evaluation of a laminated gas clastic reservoir is also presented. Further illustration explores...
Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, April 8, 2025
Paper Number: OMC-2025-581
...) deviations, not detectable by traditional SCADA systems. A comprehensive set of Key Performance Indicators (KPIs) is generated, covering various aspects of plant performance. The use of physics-derived and data driven algorithms makes it possible to distinguish between the main root causes...
Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, April 8, 2025
Paper Number: OMC-2025-642
... algorithm co 2 application average temperature time interval variation case history process variable anomaly injection flow rate server architecture fiber optic deployment time period ravenna ccus project phase 1 RAVENNA CCUS PROJECT: FIBER OPTIC DEPLOYMENT FOR MEASUREMENT, MONITORING...
Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, April 8, 2025
Paper Number: OMC-2025-648
... load assessments. Computationally efficient layout optimization methods using a genetic algorithm and random search improved energy yield of the studied wind farms, increasing the annual energy production by 1.33%. Additionally, an advanced IHLQR-based pitch controller significantly enhanced power...
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, 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-2023-428
... 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-2023-381
... (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-2023-372
... 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, September 28–30, 2021
Paper Number: OMC-2021-019
... in geological papers and magazines. The nodes of the Knowledge Graph are created by using a number of Annotators, i.e. software that can automatically identify the relevant geological concepts within the paragraphs of the documents by exploiting a variety of algorithms, spanning from Natural Language...
Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, September 28–30, 2021
Paper Number: OMC-2021-063
... 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, optimize procedures, forecast equipment life cycles, and conduct preventive maintenance. The first step...
Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, September 28–30, 2021
Paper Number: OMC-2021-020
... the computational 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...
Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, September 28–30, 2021
Paper Number: OMC-2021-090
... advantage of a dedicated algorithm that learns through experience how the available input logs (compressional sonic and deep resistivity) are related to the output logs (shear sonic and density), objective of the reconstruction. In detail, a subset has been used as training set for the learning phase...
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...

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