Enhancing fault diagnosis of undesirable events in oil & gas systems: A machine learning approach with new criteria for stability analysis and classification accuracy
Petroleum serves as a cornerstone of global energy supply, underpinning economic
development. Consequently, the effective detection of faults in oil and gas (O&G) wells is of …
development. Consequently, the effective detection of faults in oil and gas (O&G) wells is of …
Deep Anomaly Analytics: Advancing the Frontier of Anomaly Detection
Deep anomaly analytics is a rapidly evolving field that leverages the power of deep learning
to identify anomalies in various datasets. The use of deep anomaly analytics has increased …
to identify anomalies in various datasets. The use of deep anomaly analytics has increased …
Automatic Synthesis of Recurrent Neurons for Imitation Learning from CNC Machine Operators
HT Nguyen, R Olsson, Ø Haugen - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
Analyzing time series data in industrial settings demands domain knowledge and computer
science expertise to develop effective algorithms. AutoML approaches aim to automate this …
science expertise to develop effective algorithms. AutoML approaches aim to automate this …
A multi-objective reinforcement learning framework for real-time drilling optimization based on symbolic regression and perception
Z Song, Y Song, J Yang, B Liu, B Gao, J Tang - Geoenergy Science and …, 2025 - Elsevier
In the context of the global energy transition, optimizing deep-water oil and gas drilling
parameters is crucial for ensuring safety while improving efficiency. Traditional methods face …
parameters is crucial for ensuring safety while improving efficiency. Traditional methods face …
The 3W Project and its Strategy to Foster the Development of Data-Driven Solutions for the Offshore Sector
REV Vargas, RLA Pinto - Offshore Technology Conference Brasil, 2023 - onepetro.org
This paper presents the 3W project and the strategy adopted in contrast to the classical buy
and build approaches to develop a data-driven solution which can be used by oil companies …
and build approaches to develop a data-driven solution which can be used by oil companies …
[PDF][PDF] Uso do K-Means para detecção de falhas em sistemas de elevação de petróleo
RB Santos, RMFU Foronda, GC Meziat… - Proceedings of PSE …, 2024 - repositorio.usp.br
Falhas relacionadas à extração por poços de petróleo podem causar impactos financeiros
significativos às empresas do setor e utilizar modelos baseados em aprendizado de …
significativos às empresas do setor e utilizar modelos baseados em aprendizado de …