Guided Seismic Data Processing for Heterogeneous Sampling
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Solution Overview
Problem
Existing seismic data processing methods are unable to effectively combine and process seismic data sets recorded with different spatial sampling and different temporal bandwidths, which is a common challenge in both marine and land seismic surveys.
Innovation Solution
A method is developed to process seismic data by receiving first and second seismic data sets with different spatial sampling and temporal bandwidths, using the first data set to guide the processing of the second data set, and generating an image of the subsurface based on the processed data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If seismic data sets with different spatial sampling and temporal bandwidths are processed using traditional methods, then processing simplicity is maintained, but data combination accuracy and subsurface imaging quality deteriorate
Solution Approach 1:
The processing method is divided into distinct segments: first data set processing, second data set processing, and guided combination processing. Each segment handles specific aspects of the heterogeneous data, allowing complex multi-parameter integration to be broken down into manageable steps that maintain accuracy while controlling complexity
Solution Approach 2:
The first seismic data set is processed in advance to generate guidance information (such as velocity models, imaging parameters, or processing constraints) that is then used to guide the processing of the second data set. This preliminary processing establishes a framework that simplifies the subsequent combination process while ensuring accurate integration of the heterogeneous data sets
2Manufacturing precision
If separate processing is applied to each data set, then processing simplicity is maintained, but the quality and resolution of the final subsurface image deteriorates
Solution Approach 1:
The method merges the first and second seismic data sets through a guided processing framework where the first data set provides constraints and guidance for processing the second data set. This combination leverages the complementary strengths of both data sets (different spatial sampling and temporal bandwidths) to produce a high-quality subsurface image that neither data set could achieve alone
Solution Approach 2:
The processing applies different processing parameters and constraints to different portions of the data based on their specific characteristics. The guidance from the first data set is applied locally to the second data set processing, allowing optimal processing parameters to be used for each data set's unique properties while ensuring their results are integratable
Data Source
Figure 1
Figure 2
Figure 3A~3B
AI summary
A computing device and a method for processing seismic data associated with a surveyed subsurface. The method includes receiving at least first and second seismic data sets that were recorded with different spatial sampling and different temporal bandwidths; using the first seismic data to guide a processing of the second seismic data; and generating an image of the subsurface based on processed second seismic data.