Joint Marine Seismic Data Processing Framework
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Solution Overview
Problem
Conventional seismic data processing methods require sequential removal of multiple source-side acquisition effects, which is time-consuming and prone to errors, as each effect is handled in separate stages, leading to inefficiencies and potential errors impacting subsequent processing steps.
Innovation Solution
A joint processing framework that represents seismic measurements and acquisition effects in the same data domain using the same basis functions, allowing for concurrent removal of multiple acquisition effects, thereby streamlining the processing and reducing errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sequential processing stages are used to remove each acquisition effect separately, then each effect can be addressed with dedicated processing, but the overall processing time increases and errors can propagate between stages
Solution Approach 1:
The patent combines multiple sequential processing stages into a single integrated processing step. The system simultaneously removes source signatures, radiation patterns, residual shot noise, and other acquisition effects in one operation rather than processing them sequentially. This merging approach reduces processing time while maintaining reliability through a unified error-correction framework that prevents error propagation between stages.
Solution Approach 2:
The processing system is designed with multi-functionality to handle multiple types of acquisition effects simultaneously. A single processing framework performs diverse functions including source signature removal, radiation pattern correction, shot noise reduction, and data regularization all in one operation. This universal approach eliminates the need for separate dedicated processing stages for each effect type.
2Reliability
If multiple separate processing stages are implemented to handle different acquisition effects, then comprehensive error correction is possible, but the device complexity and processing workflow become more complicated
Solution Approach 1:
The patent merges multiple error correction functions into a single integrated processing step. Instead of implementing separate processing stages for source signature removal, radiation pattern correction, and shot noise reduction, the system combines all these error correction operations into one unified workflow. This reduces device complexity while maintaining comprehensive error correction capability through a cohesive processing framework.
3Manufacturing precision
If sequential processing is used to handle acquisition effects, then each processing step can be optimized independently, but the overall productivity decreases due to multiple processing passes
Solution Approach 1:
The patent merges multiple processing operations into a single throughput-optimizing step. The system processes source signature removal, radiation pattern correction, and shot noise reduction simultaneously in one data pass rather than requiring multiple sequential processing passes. This maintains processing optimization through a unified algorithm while significantly improving productivity by eliminating redundant processing overhead.
Solution Approach 2:
The processing system implements continuous useful action by performing all acquisition effect removal operations in a single continuous processing step. Rather than pausing between separate processing stages, the system maintains continuous data flow and processing, optimizing throughput while delivering comprehensive error correction. This eliminates idle time between processing stages and maximizes data processing productivity.
Data Source
AI summary
Marine seismic data can be processed to remove or reduce two or more source side acquisition effects jointly when 1) the effects are placed in the same data domain as the received data and 2) the effects are described using the same basis functions which may signify representing the received data and the effects in the same chosen transform domain. The data effects may include source signature removal, source radiation pattern removal, residual shot noise suppression and data regularization, multi-channel reconstruction or regularization, prediction of sea surface multiples, separation of simultaneous sources etc. The joint processing can use iterative or non-iterative inversion technique, where the iterative inversion technique may be a matching pursuit technique.