A multi-channel approach for automatic microseismic event localization using RANSAC-based arrival time event clustering(RATEC)

  title={A multi-channel approach for automatic microseismic event localization using RANSAC-based arrival time event clustering(RATEC)},
  author={Lijun Zhu and Entao Liu and James H. McClellan},
8 Citations

Rapid Earthquake Association and Location

Rapid association of seismic phases and event location are crucial for real‐time seismic monitoring. We propose a new method, named rapid earthquake association and location (REAL), for associating

Earthquake Phase Association Using a Bayesian Gaussian Mixture Model

Earthquake phase association algorithms aggregate picked seismic phases from a network of seismometers into individual sesimic events and play an important role in earthquake monitoring and research.

Earthquake Phase Association with Graph Neural Networks

Seismic phase association connects earthquake arrival-time measurements to their causative sources. Effective association must determine the number of discrete events, their location, and origin

GeoAI for Large-Scale Image Analysis and Machine Vision: Recent Progress of Artificial Intelligence in Geography

This paper provides a comprehensive overview of GeoAI research used in large-scale image analysis, and its methodological foundation, most recent progress in geospatial applications, and comparative advantages over traditional methods.

Machine learning event detection workflows in practice: A case study from the 2019 Durr\"es aftershock sequence

Jack Woollam1,*, Vincent van der Heiden1,, Andreas Rietbrock1, Bernd Schurr2,, Frederik Tilmann2,4, and Edmond Dushi3 1Geophysical Institute (GPI), Karlsruhe Institute of Technology, Karlsruhe,



A review and appraisal of arrival-time picking methods for downhole microseismic data

ABSTRACTWe have evaluated arrival-time picking algorithms for downhole microseismic data. The picking algorithms that we considered may be classified as window-based single-level methods (e.g.,

Time picking and random noise reduction on microseismic data

Methods based on the STA/LTA ratio and the modified energy ratio (MER) are studied for their efficacy in automatic first-arrival time picking on high-noise microseismograms. Testing of the two

Grid-Search Techniques for Seismic Event Location

A new algorithm for seismic event location is developed to address particular problems of importance in monitoring the Comprehensive Nuclear-Test-Ban Treaty, including the assessment of location accuracy and increasing the number of seismic phases used for location.

Characterization of global seismograms using an automatic-picking algorithm

An automatic phase picker is useful for quickly identifying and timing phase arrivals in large seismic data bases. We have developed an automatic phase picker that is sensitive to small changes in

An improved method for hydrofracture induced microseismic event detection and phase picking

The ability to detect small microearthquakes and identify their P- and S-phase arrivals is a key issue in hydrofracture downhole monitoring because of the low signal-to-noise ratios S/N. An

Semblance for Microseismic Event Detection

Summary Microseismic monitoring from large arrays using migration-based detection and location techniques suffers from detections of false positives. Semblance has been considered to differentiate

A new method for producing automated seismic bulletins: Probabilistic event detection, association, and location

The probabilistic event detection, association, and location algorithm missed fewer events and generated fewer false events on all datasets compared to the associator used at the International Data Center.

Reverse time migration for microseismic sources using the geometric mean as an imaging condition

A new approach of time-reversal imaging is developed that reduces the computational cost and the scanning dimensions from 4D to 3D (no time) and increases the spatial resolution of the source image.

Sparsity-promoting joint microseismic source collocation and source-time function estimation

In this work, we propose a new method to simultaneously locate microseismic events (e.g., induced by hydraulic fracturing) and estimate the source signature of these events. We use the method of

Simultaneous microseismic event localization and source mechanism determination

ABSTRACTMicroseismic monitoring has become a tool of choice for the development and optimization of oil and gas production from unconventional reservoirs. The primary objective of (micro) seismic