[HTML][HTML] Enhanced Offshore Wind Farm Geophysical Surveys: Shearlet-Sparse Regularization in Multi-Channel Predictive Deconvolution
Y Zhang, D Wang, B Hu, J Zhang, X Gong, Y Chen - Remote Sensing, 2024 - mdpi.com
This study introduces a novel multi-channel predictive deconvolution method enhanced by
Shearlet-based sparse regularization, aimed at improving the accuracy and stability of …
Shearlet-based sparse regularization, aimed at improving the accuracy and stability of …
3-D curvelet-based WPOCS reconstruction, Doppler-shift correction, and noise attenuation of jittered sampled marine vibrator data
J Zheng, Y Long, F Sun, J Lin - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Marine vibrators have gained preference in seismic acquisition recently due to their superior
waveform control, repeatability, and reduced environmental impact. Such sources excite for …
waveform control, repeatability, and reduced environmental impact. Such sources excite for …
Seismic interpolation based on quadratic denoising neural network
Seismic interpolation is crucial for seismic data processing by interleaving missing traces
with synthesized traces to increase spatial sampling. Recently, a deep learning-based …
with synthesized traces to increase spatial sampling. Recently, a deep learning-based …
[PDF][PDF] RESEARCH ON METHODS FOR SUPPRESSING PERIODIC NOISE IN THE BACKGROUND OF MICROSEISMIC DATA
XWM LV - JOURNAL OF SEISMIC EXPLORATION, 2024 - geophysical-press.com
Addressing the issue of periodic noise in surface monitoring of microseismic data during
hydraulic fracturing, which is caused by significant mechanical equipment and …
hydraulic fracturing, which is caused by significant mechanical equipment and …
물리탐사분야에서의딥러닝기술: 현황, 도전과제및미래방향
유지윤， 오종찬， 공신혜， 이창훈， 임지원， 윤대웅 - 한국자원공학회지, 2024 - dbpia.co.kr
인공지능 기술의 급속한 발전과 함께, 물리탐사 분야 또한 기계학습 및 딥러닝 기술이 활발히
적용되고 있다. 이 논문에서는 탄성파, 중력, 자력, 전기 및 전자, 지표투과 레이다 탐사 그리고 …
적용되고 있다. 이 논문에서는 탄성파, 중력, 자력, 전기 및 전자, 지표투과 레이다 탐사 그리고 …