Characterizing Seismogenic Fault Structures in Oklahoma Using a Relocated Template‐Matched Catalog

Oklahoma is one of the most seismically active places in the United States as a result of industry activities. To characterize the fault networks responsible for these earthquakes in Oklahoma, we relocated a large-scale template-matching catalog between 2010 and 2016 using the GrowClust algorithm. This relocated catalog is currently the most complete statewide catalog for Oklahoma during this seven year window. Using this relocated catalog, we identified seismogenic fault segments by developing an algorithm (FaultID) that clusters earthquakes and then identifies linear trends within each cluster. Considering the large number of earthquakes in Oklahoma, this algorithm made the process of identifying previously unmapped seismogenic faults more approachable and objective. We identify approximately 2500 seismogenic fault segments that are in general agreement with focal mechanisms and optimally oriented relative to maximum principle stress measurements. We demonstrate that these fault orientations can be used to approximate the maximum principle stress orientations. Supplemental Content: Relocated earthquake catalog in Oklahoma between 2010 and 2016 and a table of the seismogenic fault segments identified with the FaultID algorithm.

[1]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[2]  Hans-Peter Kriegel,et al.  A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.

[3]  F. Waldhauser,et al.  A Double-Difference Earthquake Location Algorithm: Method and Application to the Northern Hayward Fault, California , 2000 .

[4]  Peter M. Shearer,et al.  A New Method for Determining First-Motion Focal Mechanisms , 2002 .

[5]  D. Sornette,et al.  Automatic reconstruction of fault networks from seismicity catalogs: Three-dimensional optimal anisotropic dynamic clustering , 2007, physics/0703084.

[6]  A. Nikolaev.  INDUCED SEISMICITY , 2011 .

[7]  D. Shelly,et al.  Migrating swarms of brittle‐failure earthquakes in the lower crust beneath Mammoth Mountain, California , 2011 .

[8]  D. Shelly,et al.  Evidence for fluid‐triggered slip in the 2009 Mount Rainier, Washington earthquake swarm , 2013 .

[9]  G. Abers,et al.  Potentially induced earthquakes in Oklahoma, USA: Links between wastewater injection and the 2011 Mw 5.7 earthquake sequence , 2013 .

[10]  D. Pollard,et al.  Geometry of crustal faults: Identification from seismicity and implications for slip and stress transfer models , 2013 .

[11]  Yaming Wang,et al.  Automatic reconstruction of fault networks from seismicity catalogs including location uncertainty , 2013, 1304.6912.

[12]  W. Ellsworth.  Injection-Induced Earthquakes , 2013, Science.

[13]  C. Frohlich,et al.  The 17 May 2012 M4.8 earthquake near Timpson, East Texas: An event possibly triggered by fluid injection , 2014 .

[14]  R. Herrmann,et al.  Earthquake hypocenters and focal mechanisms in central Oklahoma reveal a complex system of reactivated subsurface strike‐slip faulting , 2015 .

[15]  Microseismicity Induced by Deep Wastewater Injection in Southern Trumbull County, Ohio , 2015 .

[16]  S. Marsh,et al.  Comprehensive Fault Database and Interpretive Fault Map of Oklahoma. Oklahoma Geological Survey Open File Report. , 2016 .

[17]  W. Ellsworth,et al.  Fluid‐faulting evolution in high definition: Connecting fault structure and frequency‐magnitude variations during the 2014 Long Valley Caldera, California, earthquake swarm , 2016 .

[18]  M. Brudzinski,et al.  Seismicity Induced by Hydraulic Fracturing in Oklahoma , 2016 .

[19]  The Pawnee earthquake as a result of the interplay among injection, faults and foreshocks , 2017, Scientific Reports.

[20]  W. Ellsworth,et al.  Waveform‐Relocated Earthquake Catalog for Oklahoma and Southern Kansas Illuminates the Regional Fault Network , 2017 .

[21]  R. C. Alt,et al.  In Situ Stress and Active Faulting in Oklahoma , 2017 .

[22]  M. van der Baan,et al.  Human‐induced seismicity and large‐scale hydrocarbon production in the USA and Canada , 2017 .

[23]  P. Shearer,et al.  GrowClust: A Hierarchical Clustering Algorithm for Relative Earthquake Relocation, with Application to the Spanish Springs and Sheldon, Nevada, Earthquake Sequences , 2017 .