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Technical paper
Recent development of light, low-cost autonomous nodes that can be deployed rapidly and in very large numbers has the potential to transform the way seismic data is acquired on land. However, unlike with traditional cabled systems or real-time data transfer nodal systems, very large channel count blind nodal systems present challenges for rapid infield quality control (QC). Rapid in-field QC is required to (1) enable the identification of faulty equipment, even if rare; (2) identify areas with anomalous noise characteristics in order to inform ongoing operations; (3) rapidly assess operational performance across a large population of devices, and (4) extract practical attributes of survey-wide continuously recorded data. We outline key design principles to address these challenges and show results from a recent field trial during which 50,800 prototype lightweight autonomous nodes were deployed a total of 500,000 times (with a fault rate of only 0.16% per month). We also show examples of how apparently mundane attributes of the continuously recorded data can acquire an unexpected value when acquired at high density over large areas.
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