Seismic Image Resolution via Frequency-Based Subsets
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Solution Overview
Problem
Conventional seismic imaging techniques have limited resolution, failing to accurately define the location of rock and fluid property changes in the subsurface, which hinders the identification of hydrocarbon reservoirs and affects project planning and execution.
Innovation Solution
A method involving seismic image decomposition into subsets, followed by forward modeling and imaging of these subsets using techniques like reverse time migration, to enhance the spatial resolution of seismic images, allowing for improved interpretation of subsurface features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional seismic imaging techniques are used, then the imaging process is simple and fast, but the resolution of the seismic images is limited
Solution Approach 1:
The patent applies segmentation by decomposing the seismic image into multiple image subsets based on different frequency components. Each subset is then processed through forward modeling and imaging operations independently. This segmentation approach allows the system to achieve higher resolution by combining the results from multiple frequency-based subsets, effectively resolving the contradiction between image resolution and processing complexity.
2Measurement precision
If data is decomposed into multiple subsets and processed through forward modeling and imaging, then the resolution improves, but the processing time and computational resources increase
Solution Approach 1:
The patent applies preliminary action by performing decomposition of the seismic image into frequency-based subsets before the main imaging process. By pre-processing the data into organized subsets with distinct frequency characteristics, the subsequent forward modeling and imaging operations can be performed more efficiently on each subset independently, reducing the overall computational burden and processing time while maintaining high resolution.
Data Source
AI summary
A method is described for seismic imaging including receiving a digital seismic image representative of a subsurface volume of interest and an earth model; decomposing the seismic image into a set of image subsets based on an image-domain decomposition function; forward modeling each image subset to generate a set of synthetic data subsets; decomposing each data subset into a set of data sub-subsets based on a data-domain decomposition function; imaging data sub-subsets using the earth model to generate a set of image sub-subsets; and combining the set of image subsets based on a criterion to create a high resolution seismic image. The method may be executed by a computer system.