Hydro-mechanical simulation and analysis of induced seismicity for a hydraulic stimulation test at the Reykjanes geothermal field, Iceland [PDF]
The hydraulic stimulation of the well RN-34 at the Reykjanes geothermal field in Iceland caused increased seismic activity near the well. Here, we use this as a case study for investigation on how seismic analysis can be combined with physics-based simulation studies to further understand injection-induced fault reactivation.
arxiv
Geophysical characterisation of the ocean–continent transition at magma-poor rifted margins [PDF]
Geophysical characterisation of the ocean-continent transition (OCT) at magma-poor riftedmargins has focused primarily on the determination of P wave velocities using wide-angleseismic techniques. Such experiments have shown that the OCT is heterogeneous,
Minshull, Timothy A.
core +1 more source
Neural-networks for geophysicists and their application to seismic data interpretation [PDF]
There has been a surge of interest in neural networks for the interpretation of seismic images over the last few years. Network-based learning methods can provide fast and accurate automatic interpretation, provided that there are many training labels ...
B. Peters, E. Haber, J. Granek
semanticscholar +1 more source
Water pathways and ancient lakes: Flowing towards new models to unravel the past
Abstract Significant progress has been made in understanding lake basin evolution through climatic and tectonic changes using sedimentology, sequence stratigraphy, geochemistry, hydrology and watershed characteristics to interpret three main lake basin types: overfilled, balanced‐fill and underfilled, including fluvio‐lacustrine systems.
Cecilia A. Benavente+2 more
wiley +1 more source
Automatic classification of geologic units in seismic images using partially interpreted examples [PDF]
Geologic interpretation of large seismic stacked or migrated seismic images can be a time-consuming task for seismic interpreters. Neural network based semantic segmentation provides fast and automatic interpretations, provided a sufficient number of example interpretations are available.
arxiv
FaultSeg Swin-UNETR: Transformer-Based Self-Supervised Pretraining Model for Fault Recognition [PDF]
This paper introduces an approach to enhance seismic fault recognition through self-supervised pretraining. Seismic fault interpretation holds great significance in the fields of geophysics and geology. However, conventional methods for seismic fault recognition encounter various issues, including dependence on data quality and quantity, as well as ...
arxiv
Seismic performance of concrete tunnel–sand–pile interaction by the shake table test
This research presents the square root sum of squares response of displacements and tunnel moments under the Kobe and Loma Prieta seismic excitations with a peak ground acceleration of 0.05 g for various dry relative densities of local sand in Bangladesh.
Md. Foisal Haque, Mehedi A. Ansary
wiley +1 more source
Self-Supervised Delineation of Geological Structures using Orthogonal Latent Space Projection [PDF]
We developed two machine learning frameworks that could assist in automated litho-stratigraphic interpretation of seismic volumes without any manual hand labeling from an experienced seismic interpreter. The first framework is an unsupervised hierarchical clustering model to divide seismic images from a volume into certain number of clusters determined
arxiv
Seismic structural interpretation involves highlighting and extracting faults and horizons that are apparent as geometric features in a seismic image.
Xinming Wu+4 more
semanticscholar +1 more source
A review of multiscale numerical modeling of rock mechanics and rock engineering
Multiscale numerical methods of rock mechanics and rock engineering are reviewed, and the review results show that more attention should be paid to the development of an advanced constitutive model in addition to numerical techniques themselves. Abstract Rock is geometrically and mechanically multiscale in nature, and the traditional phenomenological ...
Xindong Wei, Zhe Li, Gaofeng Zhao
wiley +1 more source