4D Seismic Signal Analysis Using Decimated Baseline Data
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Solution Overview
Problem
Current methods for 4D seismic surveys require direct measurement of substantially the same dataset, leading to increased costs and time due to the need for extensive infill data collection to replicate source and receiver positions accurately, which is inefficient and costly.
Innovation Solution
The method involves using decimated data from previous surveys to replicate seismic coverage, focusing on common mid-point (CMP) locations and traces, and calculating the Simplified Comparative Analysis of Repeatability (SCAR) to determine the required data for variability, thereby reducing the need for full dataset regeneration and minimizing infill surveys.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If direct measurement of substantially the same dataset is used to replicate source and receiver positions, then measurement precision is improved, but loss of time and loss of substance increase due to extensive infill data collection
Solution Approach 1:
The patent extracts only the essential geometric information (CMP locations, offset planes, nominal bin sizes) from the baseline survey data, rather than attempting to replicate the entire original dataset. This allows reproduction of seismic coverage using a minimal subset of critical parameters, eliminating the need for extensive infill collections while maintaining measurement precision.
Solution Approach 2:
The patent changes the approach from position-based replication to parameter-based reproduction. Instead of measuring source and receiver positions directly, it uses decimated baseline data parameters (CMP locations, offset planes, bin sizes) to define the geometry, fundamentally altering how survey replication is achieved and reducing time requirements.
2Measurement precision
If direct measurement of substantially the same dataset is used to replicate source and receiver positions, then measurement precision is improved, but loss of substance increases due to extensive data collection requirements
Solution Approach 1:
The patent extracts only the essential geometric information (CMP locations, offset planes, nominal bin sizes) from the baseline survey data, rather than attempting to replicate the entire original dataset. This allows reproduction of seismic coverage using a minimal subset of critical parameters, eliminating the need for extensive infill collections while maintaining measurement precision.
Solution Approach 2:
The patent applies partial action by collecting only the necessary portion of data required to reproduce seismic coverage. Instead of gathering complete infill datasets, it uses a minimal subset of baseline decimated data combined with selective current survey data, achieving sufficient measurement precision without excessive data collection.
3Reliability
If complete datasets are overlaid and compared to refine and enhance data, then signal to noise ratio is improved, but device complexity and loss of time increase
Solution Approach 1:
The patent extracts only the essential geometric parameters (CMP locations, offset planes, bin sizes) from baseline data rather than processing complete datasets. This extraction approach maintains the ability to refine and enhance data through comparison while dramatically reducing processing complexity by working with minimal essential information.
Solution Approach 2:
The patent segments the data processing task into distinct components: using decimated baseline data for geometric definition, acquiring only necessary current survey data, and processing only relevant portions. This segmentation reduces overall complexity while maintaining signal-to-noise improvement through selective data comparison and stacking.
4Measurement precision
If infill shooting is increased to replicate survey geometry accurately, then measurement precision is improved, but productivity decreases due to increased costs and time
Solution Approach 1:
The patent changes from position-based replication to parameter-based reproduction, using decimated baseline data parameters (CMP locations, offset planes, bin sizes) to define survey geometry. This parameter change maintains measurement precision while dramatically improving productivity by eliminating the need for extensive infill shooting.
Solution Approach 2:
The patent creates a simplified copy of the baseline survey geometry using only essential parameters (CMP locations, offset planes, bin sizes) rather than attempting to replicate the complete original dataset. This copying approach maintains geometric accuracy while significantly reducing acquisition time and costs, thereby improving productivity.
Data Source
AI summary
Methods of seismic data collection are described that reduce the amount of data required, reduce noise in the data collected and collect more data in areas where data collection is required. This results in a dramatic reduction of datasets required and improves noise reduction in data collected. By reducing the amount of data collected and increasing the noise reduction, a more accurate seismic survey is conducted at a dramatically reduced cost.