AI Based Detection of Gas Hydrate Formation |
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| Ildikó Bölkény |
- Abstract:
- In the production process of natural gas one of the major problems is the formation of hydrate crystals creating hydrate plugs in the pipeline. The hydrate plugs increase production losses, because the removal of the plugs is a high cost, time consuming procedure. One of the solutions used to prevent hydrate formation is the injection of modern compositions to the gas flow, helping to dehydrate the gas. Dehydratation obviously means that the size of hydrate crystals does not increase. The substances used in low concentrations, have to be locally injected at the gas well sites. Inhibitor dosing depends on the amount of gas hydrate present. In the article two Artificial Neural Network (ANN)-based predictive detection solutions are presented. In both cases the goal is to predict hydrate formation. Data used come from two solutions. In the first one measurements were performed by a self-developed and -produced equipment (in this case, differential pressure was used as input). In the second solution data are used from the measurement system of a motorised chemical-injector device (pressure, temperature, quantity and type of inhibitor were used as inputs). Both systems are presented in the article.
- Keywords:
- Gas hydrate, Neural network, Hydrate detection, Injection System, Modelling Equipment
- Download:
- IMEKO-TC10-2020-028.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC10
- Event name:
- TC10 Conference 2020 (ONLINE)
- Title:
17th IMEKO TC10 Conference "Global trends in Testing, Diagnostics & Inspection for 2030” (2nd Conference jointly organized by IMEKO and EUROLAB aisbl)
- Place:
- Dubrovnik, CROATIA
- Time:
- 20 October 2020 - 22 October 2020