Simultaneous Amplitude and Deconvolution Inversion for Seismic Data
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Solution Overview
Problem
Conventional seismic data processing methods for land-based seismic data acquisition require separate calculations for surface-consistent amplitude and deconvolution corrections, which are inefficient and do not accurately account for near-surface irregularities, leading to incomplete correction of distortions and frequency-dependent filtering effects.
Innovation Solution
A method and system that simultaneously estimate surface-consistent amplitude corrections and deconvolution operators using a single pass of input trace data, calculating Root Mean Square (RMS) amplitudes and autocorrelation spectra in the log domain, and iteratively refining these estimates to produce improved amplitude and spectral corrections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If separate cascaded calculations are used for amplitude and deconvolution corrections, then the processing follows conventional two-step methodology, but the computation time is increased and the corrections are not fully coordinated
Solution Approach 1:
The patent combines the separate amplitude correction and deconvolution correction calculations into a single simultaneous inversion process. The system solves for both surface-consistent amplitude parameters and deconvolution parameters together in one unified mathematical framework, eliminating the need for sequential two-step processing while improving coordination between the corrections.
2Reliability
If separate algorithms are used for amplitude and deconvolution calculations, then each calculation can be independently optimized, but the overall processing efficiency is reduced and the corrections may conflict
Solution Approach 1:
The patent implements a universal inversion framework that handles both amplitude correction and deconvolution correction within a single algorithmic structure. The simultaneous inversion process uses a unified objective function and optimization approach that naturally coordinates both types of corrections, ensuring they are consistent with each other while maintaining processing efficiency.
3Measurement precision
If conventional two-step processing is used, then the amplitude scalars are computed first followed by deconvolution, but the amplitude corrections cannot be directly derived from autocorrelation spectra
Solution Approach 1:
The patent merges the amplitude parameter estimation and deconvolution parameter estimation into a single simultaneous inversion process. By formulating both problems together with a unified objective function, the system can directly derive both amplitude scalars and deconvolution operators from the same data and mathematical framework, eliminating the limitation of the sequential approach.
Data Source
AI summary
Methods and systems for a surface-consistent amplitude and deconvolution simultaneous joined inversion are described. A one-pass estimation using input trace data for generating gain and deconvolution operator based on a least squares iteration method. A series of iterations are performed simultaneously and independently estimating amplitude scalars and autocorrelation spectra with a common convergence criterion. The gain and deconvolution operator can further be used to correct the input trace data for pre-stack or stack imaging.