Hidden Markov Model Application for Unsupervised Clustering of Microseismic Events at CO2 Injection Site Reveals Hidden Zones of Weakness.
Abstract not provided.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE Office of Fossil Energy (FE), Oil and Natural Gas (FE-30)
- DOE Contract Number:
- NA0003525
- OSTI ID:
- 1902198
- Report Number(s):
- SAND2021-15414C; 702166
- Country of Publication:
- United States
- Language:
- English
Similar Records
Wavelet Transform and Hidden Markov Model Application for Unsupervised Clustering of Microseismic Events from CO2 Injection
Application of unsupervised machine learning approach for characteristics of microseismic events at a CO2 injection site.
Machine learning applications for event detection and phase arrival time estimation of microseismic waveform data at a CO2 injection site.
Conference
·
Sat Jun 01 00:00:00 EDT 2024
·
OSTI ID:2586278
Application of unsupervised machine learning approach for characteristics of microseismic events at a CO2 injection site.
Conference
·
Sun Nov 01 00:00:00 EDT 2020
·
OSTI ID:1833167
Machine learning applications for event detection and phase arrival time estimation of microseismic waveform data at a CO2 injection site.
Conference
·
Wed Nov 30 23:00:00 EST 2022
·
OSTI ID:2006232