DAS same-well monitoring real-time microseismic effective event identification method based on deep learning
US11899154B2 · kind B2 · utility
Inventors
Key dates
| Filing date | May 25, 2023 |
| Grant date | Feb 13, 2024 |
| Priority date | — |
| Expiry date | May 25, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the present disclosure provide a DAS same-well monitoring real-time microseismic effective event identification method based on deep learning, including: constructing a DAS-based horizontal well microseismic monitoring system; constructing a training data set, including microseismic event data, pipe wave data and background noise data with different types of labels; constructing a signal identification module; training the signal identification module by using the training data set; preprocessing actual monitoring data, inputting the preprocessed data into the signal identification module to obtain an output result; marking microseismic events identified in the output result, and updating the marked microseismic events into the training data set; and adjusting and updating the signal identification module. The identification method according to the present disclosure can identify microseismic events in DAS same-well monitoring data in real time and efficiently.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.