Seismic Interferometry Ground Roll Attenuation Using Derivative Sensors
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Solution Overview
Problem
Existing seismic survey methods struggle to effectively attenuate ground-roll noises, which mask weaker reflections from subsurface hydrocarbon reservoirs, due to limitations in current noise removal techniques.
Innovation Solution
The use of derivative sensors, such as strain sensors that measure particle velocity and its horizontal spatial derivatives, in conjunction with seismic interferometry to derive accurate estimates of ground roll noises, allowing for improved data processing with reduced noise and artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional seismic sensors and existing noise removal techniques are used, then the survey can be conducted with standard equipment, but the ground-roll noises cannot be effectively attenuated and mask the weaker reflections from subsurface hydrocarbon reservoirs
Solution Approach 1:
The patent extracts and removes the harmful ground-roll noise component from the seismic signal by using derivative sensors to specifically target and isolate surface waves, then subtracting them from the total signal. This separates the desired reflection signals from the harmful ground-roll noises, enabling effective attenuation while preserving the weaker subsurface reflections.
Solution Approach 2:
The patent introduces derivative sensors (measuring particle velocity and its horizontal spatial derivatives) as an intermediary measurement tool. These sensors serve as a mediator that captures additional information about the ground-roll characteristics, which is then used in the noise removal process to achieve better attenuation without directly modifying the original seismic sources or receivers.
2Reliability
If existing noise removal methods are applied, then some ground-roll attenuation can be achieved, but processing artifacts are introduced and the attenuation is not perfect
Solution Approach 1:
The patent performs preliminary measurement of particle velocity and its horizontal spatial derivatives using derivative sensors before the main noise removal process. This preliminary action captures the ground-roll characteristics in advance, allowing for more accurate noise estimation and subtraction that minimizes the introduction of processing artifacts while maintaining high attenuation effectiveness.
Solution Approach 2:
The patent uses the measurements from derivative sensors as feedback to continuously refine the ground-roll noise estimation. By incorporating the horizontal spatial derivatives information into the noise removal algorithm, the system can adaptively adjust the attenuation process to minimize artifacts while maximizing ground-roll removal, creating a feedback loop that improves reliability.
Data Source
AI summary
Methods of acquiring and processing seismic data using derivative sensors, such as strain sensors, that facilitate ground roll noise attenuation with seismic interferometry are disclosed. The methods use both seismic data and their spatial derivatives in computing ground-roll noises which are removed from processed seismic data.