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GEOPHYSICS
Accurate horizon recognition within poststack seismic sections is important in seismic interpretation. Horizon picking techniques influence diverse seismic structural analyses and inversion methodologies. Despite encountering challenges such as computational demands and time constraints, the past few years have witnessed the development of numerous 2D
Marcelo Jorge Luz Mesquita +2 more
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Accurate horizon recognition within poststack seismic sections is important in seismic interpretation. Horizon picking techniques influence diverse seismic structural analyses and inversion methodologies. Despite encountering challenges such as computational demands and time constraints, the past few years have witnessed the development of numerous 2D
Marcelo Jorge Luz Mesquita +2 more
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Multiresolution versus single resolution horizon picking in 2D seismic images
SPIE Proceedings, 2004In this paper, two different approaches for horizon picking are examined. The first one is a simple line detection algorithm applied to the full resolution image. The second algorithm is a multiscale line detection algorithm, based on the wavelet transform of the iamge.
Maria Faraklioti, Maria Petrou
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A review of “global” interpretation methods for automated 3D horizon picking
The Leading Edge, 2011Traditionally, 3D seismic interpretation has been achieved through extraction of 2D sections around closed loops such that the beginning and end are coincident, a process known as loop tying (Lomask and Guitton, 2007). Using this approach it is often found that errors in picking result in misties.
Jack Hoyes, Thibaut Cheret
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A New Seismic Horizon Picking Method Based on the Edge Detection and the Kalman Filter
2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2019Seismic horizon picking plays an important role in the seismic exploration. Most of the present picking methods can only recognize horizons as some discrete disordered points, not a connected line, and work not well under the strong noise. A new horizon picking method based on the edge detection and the Kalman filter is proposed. Firstly the Canny edge
Xiaoying Deng, Xinyang Hu
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Artificial Intelligence for Automating Seismic Horizon Picking
First Break, 2022Norman Mark
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Towards robust structure-based enhancement and horizon picking in 3-D seismic data
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., 2004We present a novel structure-enhancing adaptive filter guided by features derived from the gradient structure tensor. We employ this filter to reduce noise in seismic data and to assist in generating seed points for initializing an automatic horizon picking algorithm.
S.M. O'Malley, I.A. Kakadiaris
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Simplifying Horizon Picking Using Single-Class Semantic Segmentation Networks
2021 34th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2021Seismic image processing plays a significant role in geological exploration as it conditions much of the interpretation performance. The interpretation process comprises several tasks, and Horizon Picking is one of the most time-consuming.
Danilo Calhes +4 more
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Seismic Horizon Picking Using a Hopfield Network
2003A Hopfield neural network is used to solve the problem of seismic horizon picking. The input seismogram is pre-processed to produce seismic peak data. Pre-processing steps include envelope processing, thresholding, peak detection, and compression in time. Each peak represents a single seismic wavelet, and each pre-processed data item corresponds to one
Kou-Yuan Huang
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Variable seismic waveforms representation: Weak-supervised learning based seismic horizon picking
Journal of Petroleum Science and Engineering, 2022Hao Wu, Zhen Li, Naihao Liu
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Intelligent seismic horizon picking based on Gabor wavelet transform of seismic attribute
84th EAGE Annual Conference & Exhibition, 2023R. Xiong, X. Huang, L. Guo
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