Iterative Deblending Workflow for Seismic Source Separation
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Solution Overview
Problem
Deblending of multi-source seismic survey data is computationally challenging due to overlapping energy from different sources, which requires effective separation to analyze the data effectively.
Innovation Solution
An iterative, cascaded deblending workflow is employed, involving alignment of recorded data to a primary source, application of coherency filters, and iterative sorting and deblending processes to separate the energy from individual sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple seismic sources are actuated simultaneously to collect richer data per survey pass, then productivity is improved, but the recorded data becomes blended with overlapping energy from different sources making effective analysis difficult
Solution Approach 1:
The patent segments the blended seismic data into individual source contributions by identifying and separating the unique signal characteristics of each source. This is achieved through iterative deblending processes that isolate signals from different sources, effectively dividing the mixed data into distinct components for separate analysis.
Solution Approach 2:
The patent introduces an iterative deblending workflow as an intermediary process between data acquisition and analysis. This workflow includes intermediate steps such as alignment to primary sources, application of coherency filters, and iterative sorting that act as mediators to separate the blended signals while preserving the original information content.
2Measurement precision
If traditional deblending methods are used to separate source contributions from blended data, then source separation is achieved, but the computational complexity and processing time increase significantly
Solution Approach 1:
The patent applies preliminary actions by pre-aligning the recorded data to the primary source before initiating the full deblending process. This preliminary alignment step organizes the data in a way that simplifies subsequent separation operations and reduces the computational burden of the iterative deblending steps that follow.
Solution Approach 2:
The patent employs periodic action through its iterative deblending workflow, where the separation process is applied in repeated cycles. Each iteration refines the source separation by alternating between different processing domains (time and frequency) and applying coherency filters periodically, which converges to an accurate solution while managing computational resources efficiently.
Data Source
AI summary
Techniques are disclosed relating to deblending of sources in multi-source geophysical survey data, including marine or land-based data. Multiple sets of deblended receiver traces are generated by iteratively applying a coherency filter to estimated sets of deblended receiver traces and updating a residual until a termination condition is reached. In some embodiments, applying the coherency filter during a current iteration may include determining coefficients of the coherency filter based on estimated sets of deblended receiver traces from an immediately prior iteration. In further embodiments, applying the coherency filter may include applying a 3D projection filter, such as an fxy projection filter.