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Dive into the research topics where Lawrence Hutchings is active.

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Featured researches published by Lawrence Hutchings.


Journal of Geophysical Research | 2014

Moment tensor inversions of M ~ 3 earthquakes in the Geysers geothermal fields, California

A. Guilhem; Lawrence Hutchings; Douglas S. Dreger; Lane R. Johnson

Microearthquakes have come into high public awareness due to being induced by the development and exploitation of enhanced and natural geothermal fields, hydrofracturing, and CO2 sequestration sites. Characterizing and understanding the faulting process of induced earthquakes, which is generally achieved through moment tensor inversion, could both help in risk prediction and in reservoir development monitoring. However, this is a challenging task because of their lower signal-to-noise ratio at frequencies typically used in earthquake source analyses. Therefore, higher-resolution velocity models and modeling of seismic waves at higher frequencies are required. In this study, we examine both the potentials to obtain moment tensor solutions for small earthquakes and the uncertainty of those solutions. We utilize a short-period seismic network located in the Geysers geothermal field in northern California and limit our study to that which would be achieved by industry in a typical reservoir environment. We obtain full moment tensor solutions of M ~ 3 earthquakes using waveform modeling and first-motion inversions. We find that these two data sets give complimentary but yet different solutions. Some earthquakes correspond possibly to complex processes in which both shear and tensile failures occur simultaneously or sequentially. This illuminates the presence of fluids at depth and their role for the generation of these small-magnitude earthquakes. Finally, since first motions are routinely obtained for all magnitude earthquakes, our approach could be extended to small earthquakes where noise level and complex Greens functions prohibit using waveforms in moment tensor inversions.


NRIAG Journal of Astronomy and Geophysics | 2017

Demonstration of pb-PSHA with Ras-Elhekma earthquake, Egypt

Elsayed Fergany; Lawrence Hutchings

Abstract The main goal of this work is to: (1) argue for the importance of a physically-based probabilistic seismic hazard analysis (pb-PSHA) methodology and show examples to support the argument from recent events, (2) demonstrate the methodology with the ground motion simulations of May 28, 1998, Mw = 5.5 Ras-Elhekma earthquake, north Egypt. The boundaries for the possible rupture parameters that may have been identified prior to the 1998 Ras-Elhekma earthquake were estimated. A range of simulated ground-motions for the Ras-Elhekma earthquake was “predicted” for frequency 0.5–25 Hz at three sites, where the large earthquake was recorded, with average epicentral distances of 220 km. The best rupture model of the 1998 Ras-Elhekma earthquake was identified by calculated the goodness of fit between observed and synthesized records at sites FYM, HAG, and KOT. We used the best rupture scenario of the 1998 earthquake to synthesize the ground motions at interested sites where the main shock was not recorded. Based on the good fit of simulated and observed seismograms, we concluded that this methodology can provide realistic ground motion of an earthquake and highly recommended for engineering purposes in advance or foregoing large earthquakes at non record sites. We propose that there is a need for this methodology for good-representing the true hazard with reducing uncertainties.


Journal of Geophysical Research | 1990

Empirical Green's functions from small earthquakes: A waveform study of locally recorded aftershocks of the 1971 San Fernando earthquake

Lawrence Hutchings; Francis T. Wu


Tectonophysics | 2009

A test of a physically-based strong ground motion prediction methodology with the 26 September 1997, Mw = 6.0 Colfiorito (Umbria-Marche sequence), Italy earthquake.

L. Scognamiglio; Lawrence Hutchings


Geothermics | 2016

The Northwest Geysers EGS Demonstration Project, California – Part 2: Modeling and interpretation

Jonny Rutqvist; Pierre Jeanne; Patrick F. Dobson; Julio Garcia; Craig Hartline; Lawrence Hutchings; Ankit Singh; D. W. Vasco; Mark Walters


Proceedings of the 18th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2005) | 2005

MEMS-based INS Tracking of Personnel in a GPS-denied Environment

Paul W. Kasameyer; Lawrence Hutchings; Michael F. Ellis; Richard Gross


Physics of the Earth and Planetary Interiors | 2015

Degradation of the mechanical properties imaged by seismic tomography during an EGS creation at The Geysers (California) and geomechanical modeling

Pierre Jeanne; Jonny Rutqvist; Lawrence Hutchings; Ankit Singh; Patrick F. Dobson; Mark Walters; Craig Hartline; Julio Garcia


Archive | 2001

Rock Physics Interpretation of P-wave Q and Velocity Structure, Geology, Fluids and Fractures at the Southeast Portion of The Geysers Geothermal Reservoir

Patricia Berge; Lawrence Hutchings; Jeffrey Wagoner; Paul W. Kasameyer


29. International Association of Seisomology and Physics on the Earth`s Interior General Assembly, Thessaloniki (Greece), 18-28 Aug 1997 | 1998

Strong ground motion synthesis for a M=7.2 earthquake in the Gulf of Corinth, Greece using Empirical Green`s functions

Lawrence Hutchings; Giorgis N. Stavrakakis; Eleni Ioannidou; Francis T. Wu; Steve Jarpe; Paul W. Kasameyer


Yerbilimleri/Hacettepe Üniversitesi Yerbilimleri Uygulama ve Araştırma Merkezi Dergisi | 2014

Stratigraphic Ranges of the Benthic Foraminifera and Microfacies of the Upper Maastrichtian-Paleocene Shallow Marine Carbonate Successions in the Eastern Pontides (Ne Turkey)

Aydın Mert; Yasin M. Fahjan; Ali Pinar; Lawrence Hutchings

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Paul W. Kasameyer

Lawrence Livermore National Laboratory

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Ankit Singh

Lawrence Berkeley National Laboratory

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Jonny Rutqvist

Lawrence Berkeley National Laboratory

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Patrick F. Dobson

Lawrence Berkeley National Laboratory

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Pierre Jeanne

Lawrence Berkeley National Laboratory

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Yasin M. Fahjan

Gebze Institute of Technology

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A. Guilhem

Lawrence Berkeley National Laboratory

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