Amplitude Versus Angle (AVA) feature restoration in prestack gathers via dictionary learning
Yang Gao, Xuewen Shi, Dongjun Zhang, Chang Wang, Ruhua Zhang, Yanwen Feng
TL;DR
This paper introduces a new method using dictionary learning to improve seismic data analysis for oil and gas exploration by restoring AVA features more accurately.
Contribution
A novel dictionary learning-based AVA feature restoration method with improved noise robustness and lateral continuity.
Findings
The proposed method effectively restores weak reflection energy and compensates for amplitude distortion.
It shows reduced dependence on Q-model accuracy and improved noise robustness compared to conventional methods.
Field data applications confirm enhanced lateral continuity and AVA response restoration in complex geology.
Abstract
With the expansion of oil and gas exploration into deep and complex reservoirs, the prestack amplitude versus angle (AVA) inversion technique faces challenges due to amplitude attenuation and phase distortion caused by formation absorption effects, which limit the accuracy of seismic attribute characterization. To address the limitations of existing compensation methods, particularly poor noise robustness and insufficient lateral continuity, we propose a dictionary learning–based AVA feature restoration method for prestack gathers. First, local AVA features extracted from well–log data are used to construct a training dataset using a sliding time window, and the K–Singular Value Decomposition (K–SVD) algorithm is used to train an overcomplete dictionary that sparsely represents attenuation-free signals. Subsequently, the dictionary learning process is embedded into the absorption…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12
Figure 13
Figure 14
Figure 15
Figure 16
Figure 17
Figure 18
Figure 19
Figure 20
Figure 21
Figure 22
Figure 23
Figure 24
Figure 25
Figure 26
Figure 27
Figure 28
Figure 29
Figure 30
Figure 31
Figure 32
Figure 33
Figure 34
Figure 35
Figure 36
Figure 37
Figure 38
Figure 39
Figure 40
Figure 41
Figure 42
Figure 43
Figure 44
Figure 45
Figure 46
Figure 47
Figure 48
Figure 49
Figure 50Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSeismic Imaging and Inversion Techniques · Seismic Waves and Analysis · Reservoir Engineering and Simulation Methods