Earthquake catalog-based machine learning identification of laboratory fault states and the effects of magnitude of completeness

Lubbers, Nicholas Edward; Bolton, David C.; Mohd-Yusof, Jamaludin; Marone, Chris; Barros, Kipton Marcos; Johnson, Paul A.

doi:10.1029/2018GL079712

Title: Earthquake catalog-based machine learning identification of laboratory fault states and the effects of magnitude of completeness

Abstract

Abstract Machine learning regression can predict macroscopic fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions. Here we show that a similar approach is successful using event catalogs derived from the continuous data. Our methods are applicable to catalogs of arbitrary scale and magnitude of completeness. We investigate how machine learning regression from an event catalog of laboratory earthquakes performs as a function of the catalog magnitude of completeness. We find that strong model performance requires a sufficiently low magnitude of completeness, and below this magnitude of completeness, model performance saturates.

Authors:

^[1]; Bolton, David C. ^[2];

^[1];

^[2];

^[1];

^[1]

Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Pennsylvania State Univ., University Park, PA (United States)

Publication Date:: Mon Nov 12 00:00:00 EST 2018

Research Org.:: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Sponsoring Org.:: USDOE Laboratory Directed Research and Development (LDRD) Program

OSTI Identifier:: 1482951

Alternate Identifier(s):: OSTI ID: 1491929

Report Number(s):: LA-UR-18-26559
Journal ID: ISSN 0094-8276

Grant/Contract Number:: 89233218CNA000001; EE0006762

Resource Type:: Accepted Manuscript

Journal Name:: Geophysical Research Letters

Additional Journal Information:: Journal Volume: 45; Journal Issue: 24; Journal ID: ISSN 0094-8276

Publisher:: American Geophysical Union

Country of Publication:: United States

Language:: English

Subject:: 58 GEOSCIENCES; Information Science

Citation Formats


                    Lubbers, Nicholas Edward, Bolton, David C., Mohd-Yusof, Jamaludin, Marone, Chris, Barros, Kipton Marcos, and Johnson, Paul A. Earthquake catalog-based machine learning identification of laboratory fault states and the effects of magnitude of completeness.  United States: N. p., 2018. 
Web.  doi:10.1029/2018GL079712.

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                    Lubbers, Nicholas Edward, Bolton, David C., Mohd-Yusof, Jamaludin, Marone, Chris, Barros, Kipton Marcos, & Johnson, Paul A. Earthquake catalog-based machine learning identification of laboratory fault states and the effects of magnitude of completeness.  United States.  https://doi.org/10.1029/2018GL079712

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                    Lubbers, Nicholas Edward, Bolton, David C., Mohd-Yusof, Jamaludin, Marone, Chris, Barros, Kipton Marcos, and Johnson, Paul A. Mon .  
"Earthquake catalog-based machine learning identification of laboratory fault states and the effects of magnitude of completeness".  United States.  https://doi.org/10.1029/2018GL079712.  https://www.osti.gov/servlets/purl/1482951.

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@article{osti_1482951,

  title        = {Earthquake catalog-based machine learning identification of laboratory fault states and the effects of magnitude of completeness},

  author       = {Lubbers, Nicholas Edward and Bolton, David C. and Mohd-Yusof, Jamaludin and Marone, Chris and Barros, Kipton Marcos and Johnson, Paul A.},

  abstractNote = {Abstract Machine learning regression can predict macroscopic fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions. Here we show that a similar approach is successful using event catalogs derived from the continuous data. Our methods are applicable to catalogs of arbitrary scale and magnitude of completeness. We investigate how machine learning regression from an event catalog of laboratory earthquakes performs as a function of the catalog magnitude of completeness. We find that strong model performance requires a sufficiently low magnitude of completeness, and below this magnitude of completeness, model performance saturates.},

  doi          = {10.1029/2018GL079712},

  journal      = {Geophysical Research Letters},

  number       = 24,

  volume       = 45,

  place        = {United States},

  year         = {Mon Nov 12 00:00:00 EST 2018},

  month        = {Mon Nov 12 00:00:00 EST 2018}

}

Copy to clipboard

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Works referencing / citing this record:

Machine Learning Reveals the State of Intermittent Frictional Dynamics in a Sheared Granular Fault
text, January 2019

Ren, C. X.; Dorostkar, O.; Rouet-Leduc, B.
arXiv
DOI: 10.48550/arxiv.1903.11157

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Similar Records

Title: Earthquake catalog-based machine learning identification of laboratory fault states and the effects of magnitude of completeness

Abstract

Citation Formats

The Aftershock Signature of Supershear Earthquakes journal, June 2008

Acoustic emission and microslip precursors to stick-slip failure in sheared granular material: AE AND MICROSLIP PRECURSORS journal, November 2013

Machine Learning Seismic Wave Discrimination: Application to Earthquake Early Warning journal, May 2018

Estimating Fault Friction From Seismic Signals in the Laboratory journal, February 2018

Short-term probabilistic earthquake risk assessment considering time-dependent b values : Time-DEPENDENT journal, February 2016

Seismic moment tensor and b value variations over successive seismic cycles in laboratory stick-slip experiments : MOMENT TENSOR AND B-VALUE IN STICK-SLIPS journal, August 2014

Foreshocks, b Value Map, and Aftershock Triggering for the 2011 M w 5.7 Virginia Earthquake journal, June 2018

Machine learning reveals cyclic changes in seismic source spectra in Geysers geothermal field journal, May 2018

Great earthquakes of variable magnitude at the Cascadia subduction zone journal, May 2006

Evolution of b-value during the seismic cycle: Insights from laboratory experiments on simulated faults journal, January 2018

Precursor times of abnormal b-values prior to mainshocks journal, March 2016

Seismic indicators based earthquake predictor system using Genetic Programming and AdaBoost classification journal, August 2018

The effect of loading rate on static friction and the rate of fault healing during the earthquake cycle journal, January 1998

The long precursory phase of most large interplate earthquakes journal, March 2013

Acoustic emissions document stress changes over many seismic cycles in stick-slip experiments: AEs DOCUMENT STRESS CHANGES journal, May 2013

The b-value as an earthquake precursor journal, January 1981

Regularization and variable selection via the elastic net journal, April 2005

Foreshock and Aftershocks in Simple Earthquake Models journal, February 2015

Foreshock activity related to enhanced aftershock production: Foreshock and aftershock activities journal, October 2014

Machine Learning Predicts Laboratory Earthquakes: MACHINE LEARNING PREDICTS LAB QUAKES journal, September 2017

Ridge Regression: Biased Estimation for Nonorthogonal Problems journal, February 1970

Laboratory acoustic emission study for earthquake generation process journal, December 2014

The hidden simplicity of subduction megathrust earthquakes journal, September 2017

Studies on earthquake precursors in China: A review for recent 50 years journal, January 2017

On the stress dependence of the earthquake b value journal, March 2015

Geochemical Discrimination and Characteristics of Magmatic Tectonic Settings: A Machine-Learning-Based Approach journal, April 2018

Microslips as precursors of large slip events in the stick-slip dynamics of sheared granular layers: A discrete element model analysis: 3-D DEM MODELING OF STICK SLIP journal, August 2013

Influence of particle characteristics on granular friction journal, January 2005

machine. journal, October 2001

Physical modeling of the formation and evolution of seismically active fault zones journal, August 1997

Random Forests journal, January 2001

Machine learning in geosciences and remote sensing journal, January 2016

Regression Shrinkage and Selection Via the Lasso journal, January 1996

Deep Representational Similarity Learning for Analyzing Neural Signatures in Task-based fMRI Dataset journal, October 2020

The Mechanics of Earthquakes and Faulting journal, June 1993

Factors associated with sufficient knowledge of antibiotics and antimicrobial resistance in the Japanese general population journal, February 2020

miRNALoc: predicting miRNA subcellular localizations based on principal component scores of physico-chemical properties and pseudo compositions of di-nucleotides journal, September 2020

Simultaneous corn and soybean yield prediction from remote sensing data using deep transfer learning journal, May 2021

Machine learning reveals cyclic changes in seismic source spectra in Geysers geothermal field text, January 2018

On the stress dependence of the earthquake b value text, January 2015

The Mechanics of Earthquakes and Faulting book, December 2018

Ridge Regression: Biased Estimation for Nonorthogonal Problems journal, February 2000

Short-term probabilistic earthquake risk assessment considering time-dependent b values text, January 2016

Estimating Fault Friction from Seismic Signals in the Laboratory text, January 2017

Geochemical discrimination and characteristics of magmatic tectonic settings; a machine learning-based approach text, January 2017

Machine Learning Reveals the State of Intermittent Frictional Dynamics in a Sheared Granular Fault text, January 2019

The Aftershock Signature of Supershear Earthquakes
journal, June 2008

Acoustic emission and microslip precursors to stick-slip failure in sheared granular material: AE AND MICROSLIP PRECURSORS
journal, November 2013

Machine Learning Seismic Wave Discrimination: Application to Earthquake Early Warning
journal, May 2018

Estimating Fault Friction From Seismic Signals in the Laboratory
journal, February 2018

Short-term probabilistic earthquake risk assessment considering time-dependent b values : Time-DEPENDENT
journal, February 2016

Seismic moment tensor and b value variations over successive seismic cycles in laboratory stick-slip experiments : MOMENT TENSOR AND B-VALUE IN STICK-SLIPS
journal, August 2014

Foreshocks, b Value Map, and Aftershock Triggering for the 2011 M _w 5.7 Virginia Earthquake
journal, June 2018

Machine learning reveals cyclic changes in seismic source spectra in Geysers geothermal field
journal, May 2018

Great earthquakes of variable magnitude at the Cascadia subduction zone
journal, May 2006

Evolution of b-value during the seismic cycle: Insights from laboratory experiments on simulated faults
journal, January 2018

Precursor times of abnormal b-values prior to mainshocks
journal, March 2016

Seismic indicators based earthquake predictor system using Genetic Programming and AdaBoost classification
journal, August 2018

The effect of loading rate on static friction and the rate of fault healing during the earthquake cycle
journal, January 1998

The long precursory phase of most large interplate earthquakes
journal, March 2013

Acoustic emissions document stress changes over many seismic cycles in stick-slip experiments: AEs DOCUMENT STRESS CHANGES
journal, May 2013

The b-value as an earthquake precursor
journal, January 1981

Regularization and variable selection via the elastic net
journal, April 2005

Foreshock and Aftershocks in Simple Earthquake Models
journal, February 2015

Foreshock activity related to enhanced aftershock production: Foreshock and aftershock activities
journal, October 2014

Machine Learning Predicts Laboratory Earthquakes: MACHINE LEARNING PREDICTS LAB QUAKES
journal, September 2017

Ridge Regression: Biased Estimation for Nonorthogonal Problems
journal, February 1970

Laboratory acoustic emission study for earthquake generation process
journal, December 2014

The hidden simplicity of subduction megathrust earthquakes
journal, September 2017

Studies on earthquake precursors in China: A review for recent 50 years
journal, January 2017

On the stress dependence of the earthquake b value
journal, March 2015

Geochemical Discrimination and Characteristics of Magmatic Tectonic Settings: A Machine-Learning-Based Approach
journal, April 2018

Microslips as precursors of large slip events in the stick-slip dynamics of sheared granular layers: A discrete element model analysis: 3-D DEM MODELING OF STICK SLIP
journal, August 2013

Influence of particle characteristics on granular friction
journal, January 2005

machine.
journal, October 2001

Physical modeling of the formation and evolution of seismically active fault zones
journal, August 1997

Random Forests
journal, January 2001

Machine learning in geosciences and remote sensing
journal, January 2016

Regression Shrinkage and Selection Via the Lasso
journal, January 1996

Deep Representational Similarity Learning for Analyzing Neural Signatures in Task-based fMRI Dataset
journal, October 2020

The Mechanics of Earthquakes and Faulting
journal, June 1993

Factors associated with sufficient knowledge of antibiotics and antimicrobial resistance in the Japanese general population
journal, February 2020

miRNALoc: predicting miRNA subcellular localizations based on principal component scores of physico-chemical properties and pseudo compositions of di-nucleotides
journal, September 2020

Simultaneous corn and soybean yield prediction from remote sensing data using deep transfer learning
journal, May 2021

Machine learning reveals cyclic changes in seismic source spectra in Geysers geothermal field
text, January 2018

On the stress dependence of the earthquake b value
text, January 2015

The Mechanics of Earthquakes and Faulting
book, December 2018

Ridge Regression: Biased Estimation for Nonorthogonal Problems
journal, February 2000

Short-term probabilistic earthquake risk assessment considering time-dependent b values
text, January 2016

Estimating Fault Friction from Seismic Signals in the Laboratory
text, January 2017

Geochemical discrimination and characteristics of magmatic tectonic settings; a machine learning-based approach
text, January 2017

Machine Learning Reveals the State of Intermittent Frictional Dynamics in a Sheared Granular Fault
text, January 2019