39 citations · 93 across the 7 of their papers we have counts for
5 papers · 1 filter
Iterative interferometry-based method for picking microseismic events
Naveed Iqbal, Abdullatif A. Al-Shuhail, SanLinn I. Kaka +3
Continuous microseismic monitoring of hydraulic fracturing is commonly used in many engineering, environmental, mining, and petroleum applications. Microseismic signals recorded at…
Joint Seismic Data Denoising and Interpolation with Double-Sparsity Dictionary Learning
Lingchen Zhu, Entao Liu, James H. McClellan
Seismic data quality is vital to geophysical applications, so methods of data recovery, including denoising and interpolation, are common initial steps in the seismic data processi…
A multi-channel approach for automatic microseismic event association using RANSAC-based arrival time event clustering(RATEC)
Lijun Zhu, Lindsay Chuang, James H. McClellan +2
In the presence of background noise, arrival times picked from a surface microseismic data set usually include a number of false picks that can lead to uncertainty in location esti…
Microseismic events enhancement and detection in sensor arrays using autocorrelation based filtering
Entao Liu, Lijun Zhu, Anupama Govinda Raj +4
Passive microseismic data are commonly buried in noise, which presents a significant challenge for signal detection and recovery. For recordings from a surface sensor array where e…
Sparse-promoting Full Waveform Inversion based on Online Orthonormal Dictionary Learning
Lingchen Zhu, Entao Liu, James H. McClellan
Full waveform inversion (FWI) delivers high-resolution images of the subsurface by minimizing iteratively the misfit between the recorded and calculated seismic data. It has been a…