Data-Driven Microseismic Event Localization: An Application to the Oklahoma Arkoma Basin Hydraulic Fracturing Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3120546
Abstract: The microseismic monitoring technique is widely applied to petroleum reservoirs to understand the process of hydraulic fracturing. Geophones continuously record the microseismic events triggered by fluid injection on the Earth’s surface or in monitoring wells.… read more here.
Keywords: event localization; event; microseismic event; field ... See more keywords
Automatic Microseismic Event Detection With Variance Fractal Dimension via Multitrace Envelope Energy Stacking
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3138899
Abstract: Surface monitoring of microseismic monitoring events is generally challenging because microseismic data have a low signal-to-noise ratio (SNR). Traditional event-detection methods struggle to detect weak microseismic events. A variance fractal dimension (VFD) method for automatic… read more here.
Keywords: microseismic data; microseismic event; energy; detection ... See more keywords
Microseismic Event Classification With Time-, Frequency-, and Wavelet-Domain Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3262412
Abstract: Passive seismics help us understand subsurface processes, for example, landslides, mining, geothermal systems, and so on and help predict and mitigate their effects. Continuous monitoring results in long seismic records that may contain various sources,… read more here.
Keywords: time; wavelet; microseismic event; event classification ... See more keywords