An Intelligent First-Arrival Picking Method of Microseismic Signals Based on the Small Sample Expansion
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3562813
Abstract: An accurate and efficient first-arrival picking method of microseismic signals is essential for improving the microseismic recording processing performance. However, the weak seismic magnitude and low signal-to-noise ratio (SNR) of microseismic signals make highly accurate… read more here.
Keywords: signals based; picking method; method microseismic; arrival picking ... See more keywords
A Label-Free High-Precision Residual Moveout Picking Method for Depth-Domain Tomography Based on Deep Learning
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3612370
Abstract: Residual moveout (RMO) provides critical information for depth-domain tomography. The current industry-standard method for fitting RMO involves scanning high-order polynomial equations. However, this analytical approach does not accurately capture abrupt variation of the RMO, leading… read more here.
Keywords: deep learning; method; picking method; depth domain ... See more keywords