ENBIS-23 Valencia Conference

Session

CONTRIBUTED Data Analytics

12 Sept 2023, 09:40

Auditorium

Conveners

CONTRIBUTED Data Analytics

• Andrea Ahlemeyer-Stubbe (Ahlemeyer-Stubbe)

76. On the Opportunities and Limitations of Deep Artificial Intelligence Methods for Industrial Process Analytics

Marco P. Seabra dos Reis (Department of Chemical Engineering, University of Coimbra)

12/09/2023, 09:40

Data analytics

The use of data for supporting inductive reasoning, operational management, and process improvement, has been a driver for progress in modern industry. Many success stories have been shared on the successful application of data-driven methods to address different open challenges, across different industrial sectors. The recent advances in AI/ML technology in the fields of image & video...

156. Data Science Driven Framework for Leak Detection in LNG Plants using Process Sensor Data

Resmi Suresh

12/09/2023, 10:00

Data science

Liquefied natural gas (LNG) is a promising fuel. However, a major component of LNG is Methane, which is a greenhouse gas. Shell aims to reduce methane emissions intensity below 0.2% by 2025.
Existing leak detection techniques have limitations, such as limited coverage area or high cost. We explore data science driven framework using existing process sensor data to localize and estimate leak...

136. A Framework for Degradation Modelling of Linear Assets - A Railway Track Case Study

Bjarne Bergquist (Luleå University of Technology)

Data analytics

Linear assets such as roads, pipelines, and railways are crucial components of a society's infrastructure, and their proper maintenance is critical. These assets have defined beginnings and ends but exhibit specific characteristics with branching and heterogenous segmentation. Their sizes require condition monitoring to be performed using special measurement devices such as measurement cars or...