Machine learning prediction of wellhead growth in gas well during production stage
In this paper, a machine learning approach is developed to predict wellhead growth in High-Pressure-High-Temperature (HPHT) gas well. The method relies on measurements from three laser range finding sensors to calculate the tilting angles and growth of the wellhead. The three laser sensors are point...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/98901/ http://dx.doi.org/10.23919/ASCC56756.2022.9828232 |
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