System and methods for developing and deploying oil well models to predict wax/hydrate buildups for oil well optimization
US11933159B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 26, 2021 |
| Grant date | Mar 19, 2024 |
| Priority date | — |
| Expiry date | Sep 29, 2042 |
Classification
- Technology area (CPC E)Fixed Constructions
- CPC primaryE21B2200/22
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system for estimating wax or hydrate deposits is desirable for the oil industry and important for assuring flow conditions and production, avoiding downtime, and reducing or preventing costly interventions. The method and system disclosed herein use artificial intelligence and machine learning techniques combined with oil well historical operational sensor data and historical operational event records (such as diesel hot flush, slick line, coil tubing, etc.) to build an oil well model. The method and system enable oil well practitioners to test and validate the built model and deploy the model online to estimate and/or detect wax or hydrate deposition status. By using one or more such models in operating an oil well, users can monitor and/or detect the status of wax of hydrate deposits in an oil well and can optimize production, maintenance, and planning for oil wells.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.