High-resolution sonic slowness estimation based on the reconstruction of neighboring virtual traces

S Xu, S Li, Z Zou - Surveys in Geophysics, 2024 - Springer
The estimation of elastic properties of thin-bed formations from sonic logging is challenging.
Standard slowness processing of sonic logging waveforms typically yields an average …

Automated event detection and denoising method for passive seismic data using residual deep convolutional neural networks

A Othman, N Iqbal, SM Hanafy… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
There has been a recent rise in the uses and applications of passive seismic data, such as
tomographic imaging, volcanic monitoring, and hydrocarbon exploration. Consequently, the …

Theory of supervirtual refraction interferometry

P Bharadwaj, G Schuster, I Mallinson… - Geophysical Journal …, 2012 - academic.oup.com
Inverting for the subsurface velocity distribution by refraction traveltime tomography is a well-
accepted imaging method by both the exploration and earthquake seismology communities …

Observation-driven method based on IIR Wiener filter for microseismic data denoising

N Iqbal, A Zerguine, SL Kaka, A Al-Shuhail - Pure and Applied Geophysics, 2018 - Springer
Reliable analysis of low-energy earthquakes (microseismic) depends on how accurately
one can detect and pick the arrival times, which are strongly influenced by the noise content …

Automated SVD filtering of time-frequency distribution for enhancing the SNR of microseismic/microquake events

N Iqbal, A Zerguine, SL Kaka… - Journal of Geophysics …, 2016 - academic.oup.com
Recently, there has been a growing interest in continuous passive recording of passive
microseismic experiments during reservoir fluid-injection monitoring, hydraulic-fracture …

Detection and denoising of microseismic events using time–frequency representation and tensor decomposition

N Iqbal, E Liu, JH McClellan, A Al-Shuhail… - IEEE …, 2018 - ieeexplore.ieee.org
Reliable detection and recovery of a microseismic event in large volume of passive
monitoring data is usually a challenging task due to the low signal-to-noise ratio …

First Break Traveltime Picking Using Unsupervised Machine Learning and Super‐Virtual Refraction Interferometry

M Awais, SM Hanafy, S Shafiq… - Earth and Space …, 2023 - Wiley Online Library
An accurate and trustworthy first break picking plays a key role in static correction
calculations, velocity analysis, and deconvolution. First break traveltimes picking accuracy …

Supervirtual refraction interferometry in the radon domain

Y Su, D Wang, B Hu, X Gong, J Zhang - Remote Sensing, 2023 - mdpi.com
Accurate picking of seismic first arrivals is very important for first arrival travel time
tomography, but the first arrivals appearing at far offsets are often more difficult to pick …

Noise reduction with reflection supervirtual interferometry

K Lu, Z Liu, S Hanafy, G Schuster - Geophysics, 2020 - library.seg.org
To image deeper portions of the earth, geophysicists must record reflection data with much
greater source-receiver offsets. The problem with these data is that the signal-to-noise ratio …

Advanced High-resolution Slowness Estimation for Acoustic Logging Data Based on Super-virtual Interferometry

S Li, S Xu, Z Zou - IEEE Transactions on Geoscience and …, 2024 - ieeexplore.ieee.org
High-resolution geophysical exploration is crucial for accurately understanding underground
structures. In acoustic well logging, conventional methods for enhancing vertical resolution …