Zobrazeno 1 - 10
of 319
pro vyhledávání: '"Zhenchun Li"'
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
As one of the main seismic imaging methods, conventional reverse time migration (RTM) may not produce high-quality images in areas with non-flat surfaces and anisotropy because the complex surfaces have a great impact on seismic wave simulation, resu
Externí odkaz:
https://doaj.org/article/437d2238ce544cd6a61d806249e98697
Publikováno v:
Lithosphere, Vol 2024, Iss 2 (2024)
Joint Waveform inversion (JWI) uses the results of reflection waveform inversion (RWI) as the initial model for full waveform inversion (FWI). Compared with the FWI, the JWI method can obtain more information about the structure of the subsurface med
Externí odkaz:
https://doaj.org/article/e21d3c75dadf4c4093551ab9ced82a18
Publikováno v:
IEEE Access, Vol 12, Pp 93889-93898 (2024)
Suppressing random noise and improving the signal-to-noise ratio of seismic data holds immense significance for subsequent high-precision processing. As one of the most widely used denoising methods, self-learning-based algorithms typically partition
Externí odkaz:
https://doaj.org/article/72ac39d974bc4905aeef4217db42e616
Publikováno v:
Remote Sensing, Vol 16, Iss 18, p 3486 (2024)
The utilization of the inversion-based algorithm for spectral decomposition using constrained least-squares spectral analysis (CLSSA) facilitates a time–frequency spectrum with higher temporal and frequency resolution. The conventional CLSSA algori
Externí odkaz:
https://doaj.org/article/fa84186cd0bb4a59aee36c9732d0dedf
Publikováno v:
IEEE Access, Vol 11, Pp 48924-48934 (2023)
Improving the signal-to-noise ratio and suppressing random noise in seismic data is critical for high-precision processing. Although deep learning-based algorithms have gained popularity as denoising methods, they suffer from poor generalization abil
Externí odkaz:
https://doaj.org/article/b147db3b178a4f93942d9e4bb81f316e
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
With the deepening of oil and gas exploration and the increasing complexity of exploration targets, the influence of anisotropy and anelasticity of subsurface media on seismic imaging cannot be ignored. The least-squares reverse time migration is dev
Externí odkaz:
https://doaj.org/article/e4acdcc3e03b4165a164a740d500de04
Publikováno v:
IEEE Access, Vol 8, Pp 99047-99058 (2020)
Multiple reflections contain abundant structural information about the subsurface because of their smaller reflection angles and wider coverage. Multiple imaging has increasingly attracted attention. However, the imaging of multiples first needs to s
Externí odkaz:
https://doaj.org/article/3387d52912ec431191bcde82413a44a9
Publikováno v:
IEEE Access, Vol 8, Pp 71951-71964 (2020)
The exploration of deep and subtle oil and gas reservoirs is currently an important means of increasing production in older oil fields. How to effectively identify weak signals with noise is a common problem faced in such reservoirs. Especially for d
Externí odkaz:
https://doaj.org/article/0126002232694b69a5b7ec5b133b68e5
Hydrocarbon Identification Based on Bright Spot Technique by Using Matching Pursuit and RGB Blending
Publikováno v:
IEEE Access, Vol 8, Pp 184731-184743 (2020)
In seismic exploration, matching pursuit (MP), which decomposes wavelets based on best signal matching, can not only extract accurate frequency information, but also can pick up the strong amplitudes of possible bright spots adaptively according to t
Externí odkaz:
https://doaj.org/article/4439df26d424474995b50ea1737c01d3
Publikováno v:
Remote Sensing, Vol 15, Iss 2, p 447 (2023)
Denoising is always an important step in seismic processing, in order to produce high-quality data for subsequent imaging and inversion. Different types of noise can be suppressed using targeted denoising methods. For outlier noise with singular ampl
Externí odkaz:
https://doaj.org/article/f7e18cf46d264b129e914909d2e279d0