employed by Petroleum Exploration and Production Research Institute of SINOPEC;funded by the National Key R&D Program of China(2021YFC3000701).
Random noise attenuation is significant in seismic data processing.Supervised deep learning-based denoising methods have been widely developed and applied in recent years.In practice,it is often time-consuming and lab...
the RF state project(No.0135-2019-0036);partly supported by the project(No.0135-20180039)of the Program of the Presidium of the RAS“Fundamental problems of geological and geophysical study of lithospheric processes”;the Russian Foundation for Basic Research for supporting project(No.19-05-00336)。
A 3D model of deep crustal structure of the Archaean Karelia Craton and late Palaeoproterozoic Svecofennian Accretionary Orogen including the boundary zone is presented.The model is based on the combination of data fr...
We present and compare twoflexible and effective methodologies to predict disturbance zones ahead of underground tunnels by using elastic full-waveform inversion.One methodology uses a linearized,iterative approach bas...
supported by the National Natural Science Foundation of China(No.41074080);the Important National Science&Technology Specific Projects(No.2011ZX05019-008)
To improve the data quality of converted waves, and better identify and suppress the strong ground-roll interference in three-component (3C) seismic recordings on land, we present an adaptive polarization filtering ...