Seismic Source Wavefield Encoding for Multi-Source Processing
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Solution Overview
Problem
Current subterranean survey methods, such as seismic and electromagnetic surveying, face computational intensity and inefficiency in processing large volumes of data from multiple survey sources, which hinders the accuracy and speed of identifying subterranean structures like hydrocarbon reservoirs and freshwater aquifers.
Innovation Solution
The method involves encoding source wavelets and receiver data with noise, specifically using phase and amplitude encoding, to compute source and receiver wavefields, which are then cross-correlated to produce an output representing the target structure, improving computational efficiency by processing data from multiple sources simultaneously.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data from multiple survey sources are processed separately using conventional methods, then measurement precision is maintained, but productivity is reduced due to computational intensity and processing time
Solution Approach 1:
The patent combines data from multiple survey sources into a single integrated dataset, applying phase and amplitude encoding to merge the wavefields. This allows simultaneous processing of all sources through cross-correlation operations, dramatically improving productivity while maintaining measurement precision through the mathematical properties of the encoding scheme
2Measurement precision
If conventional processing methods are used on large volumes of survey data, then measurement precision is preserved, but device complexity increases due to computational requirements
Solution Approach 1:
The patent transforms the data representation by applying phase and amplitude encoding parameters to the source wavefields. This parameter transformation simplifies the subsequent processing operations, reducing computational complexity while preserving the information needed for accurate target structure identification through the encoded wavefield relationships
Data Source
AI summary
A source wavefield is computed from encoded source data calculated by performing encoding of source wavelets with noise. A receiver wavefield is computed from encoded receiver data calculated by encoding of measured receiver data with the noise. An output representing a target structure is determined based on the source wavefield and the receiver wavefield.