| Paperless Integrated Plant Documentation – a dream or reality? |
Otmane Zraouti |
Siemens Energy |
Germany |
Pipeline Technology Conference 2021 |
Digitalization, Operational Improvements |
| Building a Web App that uses models to predict optimal future gas network states for managing nominations and equipment outages |
Christopher Davison |
DNV |
Norway |
Pipeline Technology Conference 2022 |
Digitalization |
| Q.C.M. (Quality Control Management) : Digitalization of the monitoring of the Pipeline construction. |
Julien Beaufils |
LogIC |
France |
Pipeline Technology Conference 2022 |
Digitalization, Construction |
| Pipeline Integrity Management Applications Using High Fidelity Fiber Optic Monitoring & Machine Learning |
Steven Koles |
Hifi |
Canada |
Pipeline Technology Conference 2023 |
Leak Detection, Fiber Optic Sensing, Digitalization |
| How Two Gas Network Operators Prepared for the Energy Transition by Automating Key Network Analysis Functions |
Duncan Smith |
DNV |
Norway |
Pipeline Technology Conference 2023 |
Digitalization |
| Digital Twin model for pro-active pipeline maintenance - An external corrosion case study |
Christophe Baete |
Elsyca |
Belgium |
Pipeline Technology Conference 2023 |
Digitalization |
| Geospatial Technology – The Foundation for Creating a Pipeline Digital Twin |
Jeff Allen |
Esri |
United States |
Pipeline Technology Conference 2023 |
Digitalization |
| Transportgas Srbija – Upgrade of gas transport system of Serbia |
Dr. Ilija Kupresanin |
Transportgas Srbija |
Serbia |
Pipeline Technology Conference 2023 |
Digitalization |
| The Future of Pipeline Integrity Management, how Machine Learning can enhance External Corrosion Direct Assessment |
Lewis Barton |
ROSEN Group |
Switzerland |
Pipeline Technology Conference 2023 |
Digitalization |
| Digital Assurance of emission data to progress the Net Zero strategy |
Andrea Di Lillo |
Bureau Veritas Industry Services |
Germany |
Pipeline Technology Conference 2023 |
Digitalization |
| New Generation of AI techniques Applied to Third Party Interference and Leakage Detection on Pipelines |
Ana Paula Gomes |
Enivibes |
Italy |
Pipeline Technology Conference 2024 |
Digitalization |
| Use of Machine Learning to Assess the Performance of a Pipeline Network |
Nigel Curson |
Penspen |
United Kingdom |
Pipeline Technology Conference 2024 |
Digitalization |
