High-fold enhancement of a seismic image and detection of the low-frequency shadow below the bottom-simulating reflector
Sign Up to like & getrecommendations! Published in 2020 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-020-5138-x
Abstract: Gas hydrates are a potential energy source. Seismic methods have been extensively applied to detecting gas hydrates based on the interpretation of bottom-simulating reflectors (BSRs), for which the seismic response is characterized by many features… read more here.
Keywords: frequency; bottom simulating; high fold; frequency shadow ... See more keywords
Multitask learning for local seismic image processing: fault detection, structure-oriented smoothing with edge-preserving, and seismic normal estimation by using a single convolutional neural network
Sign Up to like & getrecommendations! Published in 2019 at "Geophysical Journal International"
DOI: 10.1093/gji/ggz418
Abstract: Fault detection in a seismic image is a key step of structural interpretation. Structure-oriented smoothing with edge-preserving removes noise while enhancing seismic structures and sharpening structural edges in a seismic image, which, therefore, facilitates and… read more here.
Keywords: image; network; seismic normal; image processing ... See more keywords
Deep Learning for Simultaneous Seismic Image Super-Resolution and Denoising
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3057857
Abstract: Seismic interpretation is often limited by low resolution and strong noise data. To deal with this issue, we propose to leverage deep convolutional neural network (CNN) to achieve seismic image super-resolution and denoising simultaneously. To… read more here.
Keywords: image super; resolution; super resolution; resolution denoising ... See more keywords
Similarity-Informed Self-Learning and Its Application on Seismic Image Denoising
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3210217
Abstract: Seismic image denoising is essential to enhance the signal-to-noise ratio (SNR) of seismic images and facilitate seismic processing and geological structure interpretation. With the development of deep learning (DL), several DL-based models have been proposed… read more here.
Keywords: seismic images; seismic image; image denoising; similarity informed ... See more keywords
NS2NS: Self-Learning for Seismic Image Denoising
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3217289
Abstract: Attenuation of incoherent noise is an effective way to improve signal-to-noise ratio (SNR) of seismic data. Recently, supervised deep learning (DL)-based methods have been widely used for seismic image denoising, which often need plenty of… read more here.
Keywords: noise; seismic image; image denoising; noisy images ... See more keywords