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This paper aims to improve the accuracy of microseismic monitoring using a new deep learning algorithm.

July 8, 2026Nature CommunicationsOpen Access

Microseismic monitoring with the quake neural operator

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Randomized trial demonstrates enhanced event detection in seismology, suggesting improved accuracy for geothermal applications.

This paper aims to improve the accuracy of microseismic monitoring using a new deep learning algorithm.
Developed the Quake Neural Operator (QNO), a deep learning algorithm for seismic event detection.
Applied QNO to the Geysers geothermal field for enhanced seismic monitoring.
Compared QNO's performance against traditional phase picking methods and the Phase Neural Operator.
QNO identified nearly an order of magnitude more seismic detections than standard catalogs.
QNO demonstrated superior performance where traditional phase picking failed.
Validation was supported through visual inspection and comparisons with existing methods.

Hongyu Sun (2026) studied this question.

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