Zobrazeno 1 - 10
of 570
pro vyhledávání: '"McClellan, James"'
Autor:
Zhu, Lijun, Peng, Zhigang, McClellan, James, Li, Chenyu, Yao, Dongdong, Li, Zefeng, Fang, Lihua
The increasing volume of seismic data from long-term continuous monitoring motivates the development of algorithms based on convolutional neural network (CNN) for faster and more reliable phase detection and picking. However, many less studied region
Externí odkaz:
http://arxiv.org/abs/1901.06396
Autor:
Iqbal, Naveed, Al-Shuhail, Abdullatif A., Kaka, SanLinn I., Liu, Entao, Raj, Anupama Govinda, McClellan, James H.
Continuous microseismic monitoring of hydraulic fracturing is commonly used in many engineering, environmental, mining, and petroleum applications. Microseismic signals recorded at the surface, suffer from excessive noise that complicates first-break
Externí odkaz:
http://arxiv.org/abs/1703.03154
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 processing flow. We present a method to perform simultaneous interpolation and
Externí odkaz:
http://arxiv.org/abs/1703.02461
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 estimation. To eliminate false picks and improve the accuracy of location
Externí odkaz:
http://arxiv.org/abs/1702.01856
Microseismic events enhancement and detection in sensor arrays using autocorrelation based filtering
Autor:
Liu, Entao, Zhu, Lijun, Raj, Anupama Govinda, McClellan, James H., Al-Shuhail, Abdullatif, Kaka, SanLinn I., Iqbal, Naveed
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 each trace contains a time-delayed arrival from the event, we propose a
Externí odkaz:
http://arxiv.org/abs/1612.01884
Publikováno v:
IEEE Access 2019
In this work, an efficient numerical scheme is presented for seismic blind deconvolution in a multichannel scenario. The proposed method iterate with wo steps: first, wavelet estimation across all channels and second, refinement of the reflectivity e
Externí odkaz:
http://arxiv.org/abs/1611.03754
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 attacked successfully with the Gauss-Newton method and sparsity promoti
Externí odkaz:
http://arxiv.org/abs/1511.05194
Publikováno v:
In Earthquake Research Advances July 2021 1(3)
Autor:
Meyer, Everett 1, Pavlova, Anna 1, Gandhi, Arpita 2, Hoeg, Rasmus 3, Oliai, Caspian 4, Mehta, Rohtesh 5, Srour, Samer 5, McGuirk, Joseph 6, Waller, Edmund 7, Fernhoff, Nathaniel 8, Killian, M. Scott 8, Mcclellan, James 8, Putnam, Amy 9, Shaw, Bronwen 10, Abedi, Mehrdad 3, Negrin, Robert 1
Publikováno v:
In Clinical Lymphoma, Myeloma and Leukemia October 2022 22 Supplement 2:S447-S447