Multicomponent Seismic Sensor Spacing for Noise Attenuation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Seismic surveys face challenges in differentiating and removing surface and interface wave noise, such as ground roll, which interferes with the detection of seismic signals, limiting sensor spacing and increasing costs due to the need for closer sensor placement to effectively attenuate noise.
Innovation Solution
The implementation of multicomponent noise attenuation process using multicomponent seismic sensor stations spaced at least 20 meters apart, which receive and process seismic data to identify and attenuate noise components through model-based constraints and matching pursuit techniques, allowing for effective noise separation and signal reconstruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If sensor spacing is increased to reduce costs and improve efficiency, then productivity and cost-effectiveness improve, but noise attenuation capability deteriorates
Solution Approach 1:
The patent transitions from single-component to multicomponent sensors, adding vertical measurement dimension to horizontal sensor spacing. This dimensional enhancement allows sensors to detect both horizontal and vertical ground motion components, enabling effective noise attenuation even at larger spacing intervals of 20-50 meters by utilizing the additional measurement dimension.
Solution Approach 2:
The patent changes the measurement parameters from single-component (horizontal only) to multicomponent (horizontal and vertical). By measuring multiple motion parameters simultaneously, the system can differentiate between surface wave noise and seismic signals more effectively, maintaining noise attenuation capability while increasing sensor spacing.
2Productivity
If multicomponent sensors are used to enable larger sensor spacing, then device complexity increases, but productivity improves
Solution Approach 1:
The multicomponent sensor is segmented into multiple single-component sensors arranged in a specific geometry (e.g., vertical and horizontal components). This segmentation allows the complex multicomponent measurement to be achieved using simpler, well-understood single-component sensor technologies, reducing overall system complexity while maintaining the capability for larger sensor spacing.
3Reliability
If traditional single-component sensors are used with close spacing, then noise attenuation is improved, but cost increases due to more sensors required
Solution Approach 1:
The multicomponent sensor performs multiple functions simultaneously: it measures both horizontal and vertical ground motion, enabling it to function as both a single-component sensor and a noise attenuation device. This multi-functionality reduces the total number of sensors needed while maintaining effective noise attenuation capability.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A system and method for multicomponent noise attenuation of a seismic wavefield is provided. Embodiments may include receiving, at one or more computing devices, seismic data associated with a seismic wavefield over at least one channel of a plurality of channels from one or more seismic sensor stations. Embodiments may further include identifying a noise component on the at least one channel of the plurality of channels and attenuating the noise component on the at least one channel of the plurality of channels based upon, at least in part, the seismic data received from the one or more seismic sensor stations.