Seismic Sweep Parameter Adaptation for Geological Variations
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Solution Overview
Problem
Conventional seismic data acquisition systems face delays due to data transmission and real-time analysis, and are affected by local geological conditions, leading to suboptimal signal quality.
Innovation Solution
The system incrementally adapts sweep parameters based on local geological conditions by analyzing reflected seismic waves using a computer-implemented method, including frequency sweeps and integral transforms, to optimize signal-to-noise ratios and compensate for subsurface variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional fixed sweep parameters are used for seismic data acquisition, then the system is simple to operate, but the signal-to-noise ratio deteriorates due to local geological variations
Solution Approach 1:
The patent implements dynamic adaptation of sweep parameters by continuously analyzing recorded seismic signals and adjusting frequency, duration, and amplitude parameters in real-time based on local geological conditions, transforming the static parameter system into a dynamic one that responds to subsurface variations
Solution Approach 2:
The system establishes a feedback loop where recorded seismic signals are analyzed to determine local geological conditions, and this information feeds back to automatically adjust sweep parameters for subsequent acquisitions, creating a closed-loop control system that optimizes signal quality
2Reliability
If real-time analysis and parameter adjustment are implemented, then the signal quality improves, but acquisition delays increase due to data transmission and processing
Solution Approach 1:
The system performs preliminary analysis of recorded signals to predict optimal sweep parameters before the next acquisition, allowing parameters to be pre-configured and reducing wait time during field operations
Solution Approach 2:
The patent implements efficient processing algorithms that rapidly analyze seismic signals and determine parameter adjustments, rushing through the analysis phase to minimize delays while maintaining analysis accuracy
3Measurement precision
If spatially-adaptive parameter selection is implemented, then measurement precision improves for local geology, but device complexity increases
Solution Approach 1:
The patent applies local quality by tailoring sweep parameters to specific local geological conditions rather than using uniform parameters across the entire survey area, allowing each acquisition location to have optimized parameters based on its unique subsurface characteristics
Solution Approach 2:
The system changes multiple sweep parameters including frequency range, sweep duration, and amplitude based on analyzed geological conditions, transforming a single-parameter system into a multi-parameter adaptation system that responds to different subsurface conditions
Data Source
AI summary
A computer-implemented method includes the following. A frequency sweep using sweep parameters is emitted from a vibratory seismic source into geological layers. The sweep parameters include frequencies and modulation parameters for seismic waves. Signals are received from one or more sensors. The signals include seismic data acquisition information, including values identifying energy reflected back from boundaries where rock properties change. A determination is made regarding which of the reflected seismic waves are attenuated. The determination uses an integral transform and a thresholding algorithm for image segmentation. Optimum sweep parameters are determined based on the reflected seismic values that are attenuated and updated to compensate for local geology effects. The emitting, receiving, determining attenuation, determining optimum parameters, and updating are repeated until the received signals are determined to be satisfactory.