Machine learning based approach to detect well analogue
US11989648B2 · kind B2 · utility
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17Claims
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Key dates
| Filing date | Sep 11, 2020 |
| Grant date | May 21, 2024 |
| Priority date | — |
| Expiry date | Mar 23, 2043 |
Classification
- Technology area (CPC E)Fixed Constructions
- CPC primaryE21B2200/22
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A training log is selected from a plurality of well logs. A log window of a plurality of log windows is selected from the training log. A positive window is generated from the log window. A negative window is selected from the training log. A siamese neural network (SNN) is trained that includes a first self attention neural network (ANN) and a duplicate self attention neural network with the log window, the positive window, and the negative window, to recognize a similarity between the log window and the positive window and to differentiate against the negative window.
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