The confluence of our ability to handle big data, significant increases in instrumentation
density and quality, and rapid advances in machine learning (ML) algorithms have placed …

Source locations provide fundamental information on earthquakes and lay the foundation for
seismic monitoring at all scales. Seismic source location as a classical inverse problem has …

Reverse time migration (RTM) is a seismic imaging method to map the subsurface reflectivity
using recorded seismic waveforms. The practice in exploration seismology has long …

Microseismic source localization is important for inferring the dynamic status of the
subsurface stress field during hydraulic fracturing. Traditional deterministic methods for 3D …

Imaging Earth structure or seismic sources from seismic data involves minimizing a target
misfit function, and is commonly solved through gradient-based optimization. The adjoint …

Robust automatic event detection and location is central to real‐time earthquake monitoring.
With the increase of computing power and data availability, automated workflows that utilize …

The microseismic monitoring technique is widely applied to petroleum reservoirs to
understand the process of hydraulic fracturing. Geophones continuously record the …

Seismic phase association connects earthquake arrival‐time measurements to their
causative sources. Effective association must determine the number of discrete events, their …

Automatic arrival picking of certain seismic or microseismic phases has been studied for
decades. However, automatic detection of continuous signal waveforms has been seldom …

Migration‐based location methods (eg, time‐reverse imaging based on wave equation,
Kirchhoff summation, and diffraction stacking) can effectively locate events of low signal‐to …