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Abstract

Summary

Real-time processing of microseismic downhole data has been performed for many years, see for example . Downhole data lends itself to real-time processing, because the data volume is relatively small, typically less than 200 channels, and the relative high signal/noise ratios of downhole data makes it possible to perform “event triggering” to identify isolated segments of data that contain events, which can be remote transmitted to remote processing centers. Real-time microseismic processing of surface data is also not new, see for example . But real-time microseismic processing of surface data is generally done by placing large and expensive compute resources in the field, such as specialized trucks that are outfitted to house clusters of computers. Here we describe a workflow whereby data from large surface arrays with over 2,000 channels are processed in real time remotely, and we describe the benefits of this workflow for hydraulic fracture treatments.

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/content/papers/10.3997/2214-4609.201800069
2018-03-26
2024-04-20

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References

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Remote Real-Time Processing Of Hydraulic Fracture Treatment Microseismic Data Using Large Arrays
Conference Proceedings 2018, 1 (2018); https://doi.org/10.3997/2214-4609.201800069
/content/papers/10.3997/2214-4609.201800069
/content/papers/10.3997/2214-4609.201800069
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