Non-impulsive Source Array Geometrical Distribution Optimization
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Solution Overview
Problem
Current marine survey techniques using non-impulsive seismic sources face challenges in determining accurate geometrical distributions for source arrays, leading to residual contamination in computed notional outputs, which can result in indeterminable systems and reduced survey efficiency.
Innovation Solution
The method involves a near-field-to-notional computation to optimize the geometrical distribution of non-impulsive sources within a source array, ensuring that each source's notional output has at most a threshold amount of residue relative to its operating frequency band, thereby reducing contamination and improving the accuracy of computed outputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If non-impulsive sources are used in marine surveys, then environmental impact is reduced and operational flexibility is improved, but geometrical distribution optimization becomes more complex leading to residual contamination in computed outputs
Solution Approach 1:
The system performs preliminary near-field-to-notional computations before actual marine surveys to optimize the geometrical distribution of non-impulsive sources. By pre-calculating optimal source positions and configurations, the system prevents residual contamination issues from arising during data acquisition, thereby maintaining measurement precision while using environmentally friendly non-impulsive sources
Solution Approach 2:
The system optimizes multiple parameters including source positions, depths, spacing, and operational frequencies to achieve optimal geometrical distribution. By adjusting these parameters through iterative computations, the system resolves the contradiction between using non-impulsive sources and maintaining output accuracy
2Productivity
If sources are placed closer together to increase survey coverage, then productivity is improved, but residual contamination between sources increases making computations indeterminable
Solution Approach 1:
The system dynamically adjusts source spacing and depth parameters based on computed notional outputs and residual analysis. By optimizing these geometric parameters, the system allows sources to be placed closer together for improved productivity while maintaining computation determinability through careful parameter selection
Solution Approach 2:
The system uses iterative feedback loops where computed notional outputs are analyzed for residual contamination, and source geometrical distributions are adjusted accordingly. This feedback mechanism allows the system to maximize source density for productivity while maintaining reliable, determinable computations by eliminating excessive residual contamination
3Measurement precision
If geometrical distribution is optimized to reduce residual contamination, then measurement precision is improved, but computational complexity and time increase
Solution Approach 1:
The system performs geometrical distribution optimization computations before actual surveys rather than during data processing. By conducting these intensive calculations in advance, the system achieves high measurement precision while minimizing time loss during the actual survey operations
Solution Approach 2:
The system implements iterative optimization that stops when residual contamination falls below a threshold level rather than seeking perfect optimization. This partial action approach achieves sufficient measurement precision while reducing unnecessary computational time expenditure
Data Source
AI summary
A proposed geometrical distribution for a first non-impulsive source and a second non-impulsive source of a source array can be received. A near-field-to-notional computation can be performed for the proposed geometrical distribution to yield a respective computed notional output of the first and second non-impulsive sources. Whether the computed notional output of the first non-impulsive source has a first amount of residue greater than a threshold amount of residue can be determined. Whether the computed notional output of the second non-impulsive source has a second amount of residue greater than the threshold amount of residue can be determined. An indication whether either of the first or second amounts of residue is less than or equal to the threshold amount of residue can be provided.