Angle Gather Denoising for AVO-Preserving Seismic Inversion
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Solution Overview
Problem
Noise in pre-stack seismic data severely affects the accuracy of amplitude variation with offset (AVO) inversion, making it difficult to identify effective signals and increasing the risk in oil and gas exploration.
Innovation Solution
A denoising method and system that preserves AVO features by acquiring seismic data, determining pre-denoising angle gather data, and performing denoising processing using a denoising device to obtain a denoised angle gather signal, involving a compressive sensing algorithm and two-dimensional filtering to maintain AVO features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If conventional denoising methods are applied to pre-stack seismic data, then noise is reduced, but AVO features are distorted or lost
Solution Approach 1:
The denoising process is segmented into multiple stages: pre-denoising angle gather data generation, followed by specialized denoising processing that operates on angle gather data separately. This segmentation allows different denoising strategies to be applied at different stages, preserving AVO features while removing noise effectively.
Solution Approach 2:
The method changes the parameter domain by transforming seismic data into angle gather data, where noise and signal have different characteristic distributions. By operating in this transformed parameter space and then transforming back, the method achieves denoising while preserving the amplitude variation characteristics with offset.
2Reliability
If noise reduction processing is applied to pre-stack data, then data quality improves, but processing complexity increases
Solution Approach 1:
The method performs preliminary generation of pre-denoising angle gather data before the main denoising operation. This preliminary action organizes the data into a format that facilitates more efficient and effective denoising processing in subsequent steps, reducing overall complexity.
Solution Approach 2:
Angle gather data serves as an intermediary representation between the original seismic data and the final denoised output. This intermediate form allows noise to be identified and removed more effectively while maintaining the structural information needed for AVO analysis.
3Object-affected harmful factors
If traditional filtering methods are used, then noise is removed, but signal resolution deteriorates
Solution Approach 1:
The method transitions from traditional time-frequency domain filtering to angle-domain processing. By exploiting the angular dimension and the specific distribution characteristics of noise versus signal in angle gather data, the method achieves superior noise removal while preserving signal resolution that traditional methods cannot attain.
Data Source
AI summary
Provided is a denoising method and a denoising system. The method includes: acquiring seismic wave data at at least one receiving point through a seismic signal acquisition device, and storing the seismic wave data in a memory; in response to ending of an acquisition operation of the seismic signal with the seismic signal acquisition device, determining, based on the seismic wave data in the memory, pre-denoising angle gather data through a processing device; and obtaining and outputting a denoised angle gather signal through inputting the pre-denoising angle gather data to a denoising device and performing denoising processing on the pre-denoising angle gather data based on the denoising device. In the present disclosure, an abnormal signal is identified in the memory, then the angle gather signal is denoised, and a user also use a user terminal to view signals before and after denoising and compare a denoising effect, which can improve denoising efficiency and accuracy.