Seismic Data Migration Beam Table Management
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Solution Overview
Problem
Conventional seismic data migration techniques, such as Gaussian beam migration, are computationally intensive and require extensive processing resources, particularly when handling beam tables for depth migration in the common-shot domain, which can be resource-heavy.
Innovation Solution
A system comprising multiple processing nodes and a server that manages and distributes beam tables, allowing for efficient retrieval or computation of requested beam tables, reducing the computational burden by utilizing stored tables and minimizing redundant processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If beam tables are computed and stored externally for seismic data migration, then processing efficiency is improved, but system complexity increases
Solution Approach 1:
The system divides the beam table management into separate components: processing nodes that perform migration computations and an external storage system that stores beam tables. This segmentation allows computation and storage to occur independently, improving processing efficiency while managing system complexity through modular architecture.
Solution Approach 2:
The patent introduces an intermediary mechanism (the external storage system and communication interface) between the processing nodes and beam tables. This intermediary allows efficient retrieval of beam tables without requiring all processing nodes to maintain complete local copies, thus improving efficiency while controlling complexity through centralized management.
2Speed
If beam tables are stored locally at each processing node, then access speed is improved, but memory requirements increase
Solution Approach 1:
The patent merges the storage resources of multiple processing nodes into a shared external storage system. Instead of each node maintaining separate local copies of beam tables, the system combines storage capabilities centrally, allowing efficient access through the intermediary mechanism while reducing total memory requirements across the system.
Solution Approach 2:
The external storage system serves as a universal resource that can be accessed by any processing node that needs beam tables. This multi-functional storage infrastructure replaces multiple specialized local storage systems, improving access efficiency while reducing overall memory consumption through resource sharing.
Data Source
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AI summary
A system and method that enable the processing of seismic data. In one embodiment, a system comprises a plurality of processing nodes and a server. The plurality of processing nodes are configured to process seismic data for migration. The server is operatively linked to each of the plurality of processing nodes to enable communication between the server and the processing nodes. The server may manage a set of stored beam tables that can be accessed by the processing nodes in order to process seismic data.