Automated Interval Velocity Estimation Using Peak-to-Peak Amplitude Analysis
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Solution Overview
Problem
Traditional borehole seismic analysis relies on labor-intensive and time-consuming time-picking methods for velocity estimation, which slows down field activities and increases economic costs.
Innovation Solution
A method that automatically estimates wave velocities by performing peak-to-peak amplitude analysis on particle and strain data, eliminating the need for time-picking and reducing reliance on manual or error-prone automated detection algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional time-picking methods are used for velocity estimation, then measurement precision can be maintained, but productivity decreases and loss of time increases
Solution Approach 1:
The patent replaces the manual mechanical time-picking process with an automated computational system that uses peak-to-peak amplitude analysis. The system automatically identifies wave arrivals and calculates velocities through algorithmic processing of particle velocity and strain data, eliminating the need for manual operator intervention while maintaining high precision through systematic amplitude-based detection.
Solution Approach 2:
The system performs self-service by automatically detecting wave arrivals and computing velocity estimates without requiring external operator input. The automated algorithm independently identifies target phases, performs amplitude analysis, and generates velocity results, making the entire process self-sufficient and eliminating dependency on manual time-picking operations.
2Measurement precision
If manual time-picking is performed, then measurement precision can be maintained, but loss of time increases and productivity decreases
Solution Approach 1:
The patent replaces the manual mechanical time-picking process with an automated computational system that uses peak-to-peak amplitude analysis. The system automatically identifies wave arrivals and calculates velocities through algorithmic processing of particle velocity and strain data, eliminating the need for manual operator intervention while maintaining high precision through systematic amplitude-based detection.
Solution Approach 2:
The system performs preliminary automated detection and analysis of wave arrivals before final velocity estimation is required. By pre-identifying target phases and computing amplitude characteristics in advance, the system prepares all necessary data for velocity calculation, eliminating the need for time-consuming manual picking during the actual analysis phase.
3Productivity
If automated detection algorithms are used, then productivity increases, but measurement precision may decrease due to error-prone algorithms
Solution Approach 1:
The patent replaces the manual mechanical time-picking process with an automated computational system that uses peak-to-peak amplitude analysis. The system automatically identifies wave arrivals and calculates velocities through algorithmic processing of particle velocity and strain data, eliminating the need for manual operator intervention while maintaining high precision through systematic amplitude-based detection.
Solution Approach 2:
The system uses peak-to-peak amplitude analysis as an intermediary method between raw seismic data and final velocity estimates. This intermediate step of amplitude measurement serves as a reliable mediator that translates complex waveforms into quantifiable metrics, reducing direct algorithmic errors while maintaining the benefits of automated processing.
4Measurement precision
If traditional time-picking methods are used, then measurement precision can be maintained, but device complexity and operational complexity increase
Solution Approach 1:
The patent extracts the essential information needed for velocity estimation by focusing solely on peak-to-peak amplitude measurements of particle velocity and strain data. This extraction approach isolates the critical parameters from complex seismic waveforms, simplifying the overall process while maintaining precision by concentrating on the most relevant amplitude characteristics.
Solution Approach 2:
The patent replaces the manual mechanical time-picking process with an automated computational system that uses peak-to-peak amplitude analysis. The system automatically identifies wave arrivals and calculates velocities through algorithmic processing of particle velocity and strain data, eliminating the need for manual operator intervention while maintaining high precision through systematic amplitude-based detection.
Data Source
AI summary
Embodiments presented provide for a fully automated method of high-resolution interval velocity estimation for vertical seismic profile-type data.