Seismic Velocity Model Update via Instantaneous Frequency
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Solution Overview
Problem
Current seismic survey technologies face challenges in accurately updating seismic velocity models of subterranean regions, leading to suboptimal imaging of hydrocarbon reservoirs due to discrepancies between observed and simulated seismic datasets.
Innovation Solution
A method and system that determine the instantaneous frequency of seismic traces from both observed and simulated datasets, forming an objective function based on these frequencies to iteratively update the seismic velocity model, ensuring better matching between observed and simulated datasets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional seismic velocity model updating methods are used, then the processing is simpler, but the accuracy of the velocity model and imaging quality deteriorate
Solution Approach 1:
The patent transforms the seismic data from time domain to frequency domain by calculating instantaneous frequency of seismic traces. This parameter transformation enables more accurate comparison between observed and simulated datasets, directly improving velocity model accuracy while managing processing complexity through systematic frequency-domain analysis
Solution Approach 2:
The patent replaces traditional time-domain correlation methods with frequency-domain instantaneous frequency analysis. This substitution allows for more precise matching of seismic characteristics by comparing frequency content rather than temporal waveforms, resolving the contradiction between accuracy and complexity
2Manufacturing precision
If the seismic velocity model is updated with higher accuracy, then the imaging of hydrocarbon reservoirs improves, but the computational time and resources increase
Solution Approach 1:
By transforming to frequency domain and using instantaneous frequency as the comparison parameter, the patent achieves faster convergence in the optimization process. The frequency-domain approach provides more discriminative power for velocity updates, reducing the number of iterations needed and thus computational time while maintaining high imaging quality
Solution Approach 2:
The patent implements an iterative feedback loop where the objective function based on instantaneous frequency differences guides velocity model updates. This feedback mechanism efficiently directs computational resources toward the most impactful parameters, achieving high imaging quality with optimized computational time by focusing updates where they matter most
3Reliability
If traditional objective functions are used for velocity updating, then the processing is faster, but the matching between observed and simulated datasets deteriorates
Solution Approach 1:
The patent changes the objective function from time-domain waveform comparison to frequency-domain instantaneous frequency comparison. This parameter change provides more robust matching by focusing on frequency content which is less sensitive to timing misalignments and amplitude variations, achieving reliable dataset matching while maintaining processing efficiency through direct frequency comparison
Data Source
AI summary
Methods and systems are disclosed for updating a seismic velocity model of a subterranean region of interest. The method includes receiving an observed seismic dataset and a seismic velocity model, and generating a simulated seismic dataset based on the seismic velocity model and the geometry of the observed seismic dataset, wherein each dataset is composed of a plurality of seismic traces. The method further includes determining a transformed observed seismic dataset and a transformed simulated seismic dataset by determining the instantaneous frequency of at least one member of the plurality of observed seismic traces; and at least one member of the plurality of simulated seismic traces. The method still further includes forming an objective function based on the transformed observed seismic dataset and the transformed simulated seismic dataset and determining an updated seismic velocity model based on an extremum of the objective function.