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Keywords: algorithm
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Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, September 28–30, 2021
Paper Number: OMC-2021-019
... 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 Understanding, dictionaries...
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-2021-063
... 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-2021-085
... has been tested demonstrating the limits on robustness of this simple approach with respect to the sea conditions. Advanced control algorithms, like Linear Quadratic Regulator (LQR) and Model Predictive Control (MPC), provides great alternatives to improve the robustness and the effectiveness...
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-2021-169
... analysis. To bridge the gap in the data analysis, we developed a second workflow using machine learning algorithms. This workflow uses a set of preconstructed machine learning models to estimate fluid type, C6+ composition and GOR. The models were trained using a proprietary PVT database that was compiled...
Proceedings Papers

Paper presented at the OMC Med Energy Conference and Exhibition, September 28–30, 2021
Paper Number: OMC-2021-040
... classification algorithm facies 2 COMPARATIVE ANALYSIS OF MACHINE LEARNING CLASSIFIERS IN AN IMBALANCED FACIES DISTRIBUTED DATASET FROM A LIBYAN CARBONATE RESERVOIR Walid Ben Saleh, Mabruk Oil Operations, Misurata University, Taha Sager, Mabruk Oil Operations. This paper was presented at the 15th OMC Med...
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
... that no classic supercomputer will be able to match its performance. In this paper we present how it is possible to exploit the rising Quantum Computer hardware to efficiently implement a optimization algorithm known as Nonnegative Matrix Factorization, a well-known method that is useful to solve many problems...
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...
Proceedings Papers

Paper presented at the Offshore Mediterranean Conference and Exhibition, March 27–29, 2019
Paper Number: OMC-2019-1047
... opportunity dataset algorithm anomaly northern adriatic sea upstream oil & gas imaging velocity model dual boat acquisition amplitude adriatic sea reservoir characterization regularization modern processing technique messinian unconformity gas field seismic project 1 ADRIA MEGA 3D...
Proceedings Papers

Paper presented at the Offshore Mediterranean Conference and Exhibition, March 27–29, 2019
Paper Number: OMC-2019-1061
... of a machine learning algorithm that would expose a direct cause effect relationship between environmental loading and structural performance. The information gathered would provide a valuable tool in the detection of anomalies and early indicators of structural degradation; furthermore an updated correlation...
Proceedings Papers

Paper presented at the Offshore Mediterranean Conference and Exhibition, March 27–29, 2019
Paper Number: OMC-2019-1138
... of autonomous charging stations for long-range missions. The second aspect comprised the development of special algorithms for autonomous flight and cooperative strategies (fleet of drones), and the development of integrated systems for data acquisition and suitable human machine interface. The third aspect...
Proceedings Papers

Paper presented at the Offshore Mediterranean Conference and Exhibition, March 27–29, 2019
Paper Number: OMC-2019-1199
... to avoid, or mitigate, operational issues. This can be accomplished by using machine learning algorithms and data mining techniques in a Big Data Infrastructure. In the illustrated case, a complex data-lake was built by ingesting and aggregating in a Big Data Environment times-series data from field...
Proceedings Papers

Paper presented at the Offshore Mediterranean Conference and Exhibition, March 27–29, 2019
Paper Number: OMC-2019-1200
... operator operator fouling index fouling event big data optimization operation continuity machine learning exhibition upstream oil & gas anomaly detection algorithm algorithm 1 ADVANCED ANALYTICS TO MAXIMIZE OPERATIONS CONTINUITY AND OPTIMIZE THE ASSET VALUE: THE FOULING REAL EXAMPLE G...
Proceedings Papers

Paper presented at the Offshore Mediterranean Conference and Exhibition, March 27–29, 2019
Paper Number: OMC-2019-1202
... upsets able to highly affect the normal field operations, thanks an innovative approach based on Big Data analytics and machine learning algorithms. The actions prescribed by the algorithm can significantly reduce and avoid flaring events, improving operation safety, production and the overall asset...
Proceedings Papers

Paper presented at the Offshore Mediterranean Conference and Exhibition, March 27–29, 2019
Paper Number: OMC-2019-1220
..., enhancing hydrocarbon production and HSE sustainability. This in-house developed tool is based on Big Data Analytics techniques combining machine-learning algorithms with advanced statistical analysis. The tool consists of a machine learning based forecasting model and a series of aggregated analytics...
Proceedings Papers

Paper presented at the Offshore Mediterranean Conference and Exhibition, March 27–29, 2019
Paper Number: OMC-2019-1236
... around the four following pillars: Big Data & Advanced Analytics, Virtual Reality, Safety Programme, Rig Automation. The results achieved so far for each of these pillars are remarkable. One of the major outcomes is the application of advanced algorithms to prevent Non-Productive Time...

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