Adaptive Aperture Tapering in Kirchhoff Depth Migration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing seismic imaging methods, such as Kirchhoff depth migration, face challenges in efficiently processing large seismic datasets due to the need for computationally expensive aperture parameterization, which can lead to truncated migration impulse responses and artifacts, especially in heterogeneous velocity models.
Innovation Solution
Implementing an adaptive migration taper that combines dip-constrained and adaptive weight functions to dynamically adjust the migration aperture, reducing computational costs and minimizing artifacts in the migrated seismic image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed migration aperture limit is used in Kirchhoff depth migration, then the computational process is simple, but artifacts and noise appear due to truncated boundary effects, degrading image quality
Solution Approach 1:
The patent implements a dynamic migration aperture limit that varies with depth rather than using a fixed limit. The aperture limit is adjusted adaptively at different depth levels to match the actual seismic wave propagation characteristics, thereby reducing truncated boundary effects and improving seismic image quality without excessive computational complexity
Solution Approach 2:
The patent changes the migration aperture parameter dynamically based on depth and seismic velocity model characteristics. By modifying the aperture limit parameter adaptively throughout the migration process, the method optimizes the balance between computational efficiency and image quality, eliminating artifacts caused by fixed aperture truncation
2Manufacturing precision
If the migration aperture is increased to reduce truncated boundary effects, then image quality improves, but computational costs increase significantly
Solution Approach 1:
The patent applies different migration aperture limits at different depth locations based on local seismic velocity characteristics and wave propagation patterns. Rather than uniformly increasing the aperture everywhere, the method locally adjusts the aperture size where needed to reduce artifacts while maintaining computational efficiency in regions where smaller apertures suffice
Solution Approach 2:
The migration aperture limit is dynamically adjusted during the depth migration process based on the seismic velocity model and depth-dependent wave propagation characteristics. This dynamic adaptation allows the system to use larger apertures only where necessary to reduce truncated boundary effects, rather than uniformly increasing computational resources across the entire dataset
3Productivity
If computational efficiency is prioritized with a smaller fixed aperture, then processing speed increases, but artifacts and noise increase, reducing accuracy of hydrocarbon reservoir location
Solution Approach 1:
The patent dynamically changes the migration aperture parameter during processing based on depth and velocity model information, allowing efficient processing with smaller effective apertures in regions where they suffice, while automatically increasing aperture size in regions where larger apertures are needed to maintain location accuracy and reduce artifacts
Data Source
AI summary
A method (600) and a system (1000) for generating an adaptive migration taper for a pre-stack seismic dataset are disclosed. The method (600) includes obtaining the pre-stack seismic dataset (602) and a seismic velocity model of a subterranean region (604). The method (600) also includes generating the adaptive migration taper based, at least in part, on the pre-stack seismic dataset (606), and forming a migrated seismic image using a migration function, the seismic velocity model, the pre-stack seismic dataset, and the adaptive migration taper (608). The method (600) further includes determining a location of a hydrocarbon reservoir based, at least in part, on the migrated seismic image (610).