The Richter Award recipient is Seyed Mostafa Mousavi, a research scientist at Google and an adjunct professor at Stanford University. He is honored for his innovative work developing machine-learning-based methodologies for earthquake signal processing.
The Seismological Society of America (SSA) will present its highest honor, the 2021 Harry Fielding Reid Medal, to William Ellsworth, professor of geophysics at Stanford University's School of Earth, Energy & Environmental Sciences (Stanford Earth).
Multiscale variations of the crustal stress field throughout North America
The Earth’s crustal stress field controls active deformation and reflects the processes driving plate tectonics. Here we present the first quantitative synthesis of relative principal stress magnitudes throughout North America together with hundreds of new horizontal stress orientations, revealing coherent stress fields at various scales.
A geothermal energy project triggered a damaging earthquake in 2017 in South Korea. A new analysis suggests flaws in some of the most common ways of trying to minimize the risk of such quakes when harnessing Earth’s heat for energy.
Scientists are training machine learning algorithms to help shed light on earthquake hazards, volcanic eruptions, groundwater flow and longstanding mysteries about what goes on beneath the Earth’s surface.
Concerns about human-caused earthquakes could shake up water disposal in the oil patch.
Seismicity and research into injection-induced earthquakes were the focus of a recent visit to Midland by researchers with Stanford University’s Stanford Center for Induced and Triggered Seismicity.
Can we harness artificial intelligence in order to gain new insights into the risks posed by earthquakes? Greg Beroza, professor of geophysics, has spent his career developing and applying techniques for analyzing seismograms in order to understand how earthquakes work and to help quantify the hazards they pose. In The Future of Everything with Stanford School of Engineering’s Russ Altman, Beroza shares his insights on the future of seismology.
Stanford researchers have mapped local susceptibility to man-made earthquakes in Oklahoma and Kansas. The new model incorporates physical properties of the Earth’s subsurface and forecasts a decline in potentially damaging shaking through 2020.