Results 171 to 180 of about 1,990 (235)

A Parallelized 3D Geomechanical Solver for Fluid‐Induced Fault Slip in Poroelastic Media

International Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 5, Page 2570-2586, 10 April 2026.
ABSTRACT We present a fully implicit formulation of coupled fluid flow and geomechanics for fluid injection/withdrawal in fractured reservoirs in the context of CO2$\textrm {CO}_2$ storage. Utilizing a Galerkin finite‐element approach, both flow and poroelasticity equations are discretized on a shared three‐dimensional mesh.
Emil Rinatovich Gallyamov, Guillaume Anciaux, Nicolas Richart, Jean‐François Molinari, Brice Lecampion   +4 more
wiley   +1 more source

Controlling fluid-induced seismicity during a 6.1-km-deep geothermal stimulation in Finland. [PDF]

Sci Adv, 2019
Kwiatek G, Saarno T, Ader T, Bluemle F, Bohnhoff M, Chendorain M, Dresen G, Heikkinen P, Kukkonen I, Leary P, Leonhardt M, Malin P, Martínez-Garzón P, Passmore K, Passmore P, Valenzuela S, Wollin C.   +16 more
europepmc   +1 more source

The Effects of Carbonate Precipitation on the Physical Properties of Basalt

AGU Advances, Volume 7, Issue 2, April 2026.
Abstract To avoid the negative consequences of climate change, there is an urgent need to remove carbon dioxide from the atmosphere. Carbon mineralization—the conversion of injected CO2 into stable carbonate minerals—offers a promising pathway for large‐scale, permanent geologic storage. While projects such as CarbFix have demonstrated its feasibility,
Jonathan Simpson, Matěj Peč, Hoagy O’Ghaffari, Sharath Chandra Mahavadi, Jean E. Elkhoury   +4 more
wiley   +1 more source

The surge of earthquakes in Central Oklahoma has features of reservoir-induced seismicity. [PDF]

Sci Rep, 2018
Johann L, Shapiro SA, Dinske C.
europepmc   +1 more source

Space Correlation Constrained Physics Informed Neural Network for Seismic Tomography

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Physics‐informed neural networks (PINNs) integrate physical constraints with neural architectures and leverage their nonlinear fitting capabilities to solve complex inverse problems. Tomography serves as a classic example, aiming to reconstruct subsurface velocity models to improve seismic exploration.
Yonghao Wang, Zhuo Jia, Bowu Jiang, Wenkai Lu   +3 more
wiley   +1 more source

Mining induced seismicity

, 1988
openaire   +1 more source

An Effective Physics‐Informed Neural Operator Framework for Predicting Wavefields

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Solving the wave equation is fundamental for many geophysical applications. However, numerical solutions of the Helmholtz equation face significant computational and memory challenges. Therefore, we introduce a physics‐informed convolutional neural operator (CNO) (PICNO) to solve the Helmholtz equation efficiently.
X. Ma, T. Alkhalifah
wiley   +1 more source

Induced seismicity provides insight into why earthquake ruptures stop. [PDF]

Sci Adv, 2017
Galis M, Ampuero JP, Mai PM, Cappa F.
europepmc   +1 more source

Entwined economies of violence: understanding borderland conflict and resource politics in northern Kenya

Disasters, Volume 50, Issue 2, April 2026.
Abstract This article explores longstanding conflict between Turkana and Pokot pastoralist communities in northern Kenya, close to the country's border with Uganda. Conflict in this region has consistently defied interventions by both governments and development organisations.
Daniel Salau Rogei
wiley   +1 more source

Crack growth in heterogeneous brittle solids: intermittency, crackling and induced seismicity. [PDF]

Philos Trans A Math Phys Eng Sci, 2018
Barés J, Bonamy D.
europepmc   +1 more source