At China’s first Enhanced Geothermal System site, dense seismic observations, integrated with borehole data and stress modeling, reveal weak faults and scale-dependent control of stress and structure on induced seismicity.
seismology
A Swarm of Earthquakes in South Africa’s Karoo Basin Poses Questions for Oil and Gas Development
A recent study cautions that the Karoo, a potential target for shale gas exploration, might not be as seismologically calm as it appears.
Scientists Find Thousands of Cubic Kilometers of Magma Hiding Beneath Tuscany
We already know what’s Under the Tuscan Sun. Now, a technique called ambient noise tomography has allowed researchers to see deep under the Tuscan crust.
Eastern Africa Is Splitting Apart, but Not Where We Expected
The Turkana Rift Zone in Kenya entered a critical stage in continental breakup about 4 million years ago.
Seismic Attenuation Techniques Reveal What Lies Beneath Taiwan
A new imaging modality explores the complex subduction‐collision transition zone below southern Taiwan.
On the Seattle Fault, the Biggest Quakes Aren’t the Most Likely
Smaller quakes from secondary faults—which are not included in national seismic hazard modeling—occur more frequently than previously thought.
Taming the Seismicity Tsunami with a Scalable Bayesian Framework
By combining the power of artificial intelligence with advanced physics simulations, a new framework called “SPIDER” allows us to map seismic activity with unprecedented clarity.
Using Distributed Acoustic Sensing (DAS) to Improve Lunar Seismic Monitoring
With the appropriate cable selection and deployment, unburied DAS is a viable technique for lunar seismic applications, enabling large-scale measurements without complex installation procedures.
Long-Term and Recent Activity of the Brenner Fault Finally Reconciled
A novel application of an established dating method, namely electron spin resonance, provides constraints on the timing and relative movements of the Brenner Fault walls during the Quaternary.
Collinearity is Not Always a Problem in Machine Learning
Collinearity is not always a showstopper for statistical machine learning (at least not for self-organizing maps).
