Publications

Luckie, T.W., & Porritt, R.W. (2024). Performance of synthetic DAS as a function of array geometry. Seismica, 3(2). 10.26443/seismica.v3i2.1146

Porritt, R.W. (2024). Integration of Waveform Simulation Methods. 10.2172/2430333

Porritt, R.W., Stanciu, A.C., Abbott, R., & Luckie, T.W. (2024). Evaluation of Passive source das methods on the source physics experiment (spe) Phase II [Conference Presentation]. 10.2172/2563956

Wuestefeld, A., Spica, Z.J., Aderhold, K., Huang, H., Ma, K., Lai, V.H., Miller, M., Urmantseva, L., Zapf, D., Bowden, D.C., Edme, P., Kiers, T., Rinaldi, A.P., Tuinstra, K., Jestin, C., Diaz-Meza, S., Jousset, P., Wollin, C., Ugalde, A., … Wang, H. (2023). The Global DAS Month of February 2023. Seismological Research Letters, 95(3). 10.1785/0220230180

Hariharan, A., Porritt, R.W., & Conley, A.C. (2023). An Appraisal of the Performance and Characteristics of Summary Rays Calculated for the SALSA3D Traveltime Dataset. 10.2172/2517933

Luckie, T.W., & Porritt, R.W. (2023). Evaluation of Potential DAS Array Geometries for the Source Physics Experiment, Phase III. 10.2172/2430351

Porritt, R.W., & Stanciu, A.C. (2023). An Analysis of Published DAS Studies for Application to SPE Phase III. 10.2172/2430480

Hodgkinson, K.M., Hui Lai, V., Mellors, R.J., & Porritt, R.W. (2023). A Metadata Exchange Model for Distributed Acoustic Sensing (DAS) by the DAS-RCN Data Management Team [Conference Presentation]. 10.2172/2584801

Hariharan, A., Porritt, R.W., & Conley, A.C. (2023). A Catalog of Temporally Localized Systematic Deviations in Global Body Wave Travel-Time Measurements. 10.2172/2431462

Conley, A.C., Davenport, K., Begnaud, M., Rowe, C., Stanbury, C., Sakamoto, J.A., Ballard, S., Hariharan, A., & Porritt, R.W. (2023). Use of High Performance Computing to Generate and Utilize 3D Tomographic Velocity Models [Conference Presentation]. 10.2172/2431407

Tibi, R., Young, C.J., & Porritt, R.W. (2023). Comparative Study of the Performance of Seismic Waveform Denoising Methods [Conference Poster]. 10.2172/2431246

Tibi, R., Young, C.J., & Porritt, R.W. (2023). Comparative Study of the Performance of Seismic Waveform Denoising Methods (Lightning slide) [Conference Poster]. https://doi.org/10.2172/2431245

Porritt, R.W. (2023). Crustal Scale Travel Time Prediction with the SALSA3D Framework and Machine Learning. 10.2172/2431496

Tibi, R., Young, C.J., & Porritt, R.W. (2023). Comparative Study of the Performance of Seismic Waveform Denoising Methods Using Local and Near-Regional Data [Conference Presentation]. Bulletin of the Seismological Society of America. 10.2172/2004038

Hodgkinson, K.M., Hui Lai, V., Mellors, R.J., Porritt, R.W., & Stanciu, A.C. (2023). A Metadata Exchange Model for Distributed Acoustic Sensing (DAS) [Conference Poster]. 10.2172/2432128

Hodgkinson, K.M., Porritt, R.W., Stanciu, A.C., Mellors, R.J., & Hui Lai, V. (2023). 0.340909091 [Conference Poster]. 10.2172/2431839

Hariharan, A., Porritt, R.W., & Conley, A.C. (2022). Insights from summary ray calculations on the SALSA3D global dataset [Conference Presentation]. 10.2172/2006341

Porritt, R.W., Stanciu, A.C., Abbott, R., Baker, M.G., Fleigle, M.J., Hodgkinson, K.M., & Slad, G.W. (2022). Evaluation of Ground Coupling Tests of a Fiber-Optic Cable at the Sandia Facility for Acceptance, Calibration, and Testing for Distributed Acoustic Sensing [Conference Poster]. 10.2172/2006214

Quinones, L., Tibi, R., Porritt, R.W., & Young, C.J. (2022). Denoising Seismic Signals Using Wavelet-Transform-Based Neural Networks [Conference Poster]. 10.2172/2006023

Conley, A.C., Porritt, R.W., Davenport, K., Begnaud, M., Rowe, C., Stansbury, C., Hariharan, A., & Ballard, S. (2022). SALSA3D: Updated Tomographic Velocity Models for Improved Travel-Time Prediction and Uncertainty [Conference Poster]. 10.2172/2005917

Tibi, R., Young, C.J., & Porritt, R.W. (2022). Comparative Study of the Performance of Seismic Waveform Denoising Methods Using Local and Near-Regional Data [Conference Presentation]. 10.2172/2005501

Quinones, L., Tibi, R., Porritt, R.W., & Young, C.J. (2022). Denoising Seismic Signals Using Wavelet-Transform-Based Neural Networks [Conference Poster]. 10.2172/2002215

Porritt, R.W., Abbott, R., & Poppeliers, C. (2022). Quantitative assessment of Distributed Acoustic Sensing at the Source Physics Experiment (Phase II). 10.2172/1855336

Porritt, R.W., Abbott, R., & Poppeliers, C. (2021). A Quantitative Comparison of the Strain-rate and Velocity Data Measured at the Source Physics Experiment, Phase II [Conference Poster]. 10.2172/2001580

Catanach, T.A., Porritt, R.W., & Young, C.J. (2021). Modeling Capabilities of Waveform-Based Bayesian Inference for Seismic Monitoring [Conference Poster]. 10.2172/2001545

Tibi, R., Young, C.J., & Porritt, R.W. (2021). Comparative Study of the Performance of Seismic Denoising Methods Using Regional Data [Conference Poster]. 10.2172/1900340

Porritt, R.W., Abbott, R., & Poppeliers, C. (2021). Quantitative assessment of Distributed Acoustic Sensing at the Source Physics Experiment, Phase II. 10.2172/1833177

Porritt, R.W., & Conley, A.C. (2021). Challenges and Potential of Waveform Modeling for Crustal Scale Predictions. 10.2172/1827491

Tibi, R., Young, C.J., Hammond, P., Brogan, R., Koper, K., & Porritt, R.W. (2021). Noise Suppression and Event Identification: Two Important Components of the Processing Pipeline for Seismic Monitoring [Presentation]. https://www.osti.gov/biblio/1888696

Tibi, R., Young, C.J., Hammond, P., Brogan, R., Koper, K., & Porritt, R.W. (2021). Noise Suppression and Event Identification: Two Important Components of the Processing Pipeline for Seismic Monitoring [Presentation]. https://www.osti.gov/biblio/1888414

Porritt, R.W. (2021). Waveform Methods in GNDD Signal Propagation [Presentation]. https://www.osti.gov/biblio/1888704

Porritt, R.W., Linville, L., Conley, A.C., Catanach, T.A., Tibi, R., Merchant, B.J., Downey, N.J., & Young, C.J. (2021). Local to regional scale simulation of small events with 2D finite differences [Conference Presentation]. 10.2172/1884429