Results 131 to 140 of about 97,855 (331)
Using short-interval landslide inventories to build short-term and overall spatial prediction models for earthquake-triggered landslides based on machine learning for the 2018 Lombok earthquake sequence [PDF]
Changhu Xue, Kejie Chen, Hui Tang
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Our study reveals that caving‐enhanced geothermal systems (C‐EGS) with adequately fractured reservoirs achieve optimal heat extraction by minimizing preferential flow paths, while conventional fracturing (F‐EGS) and pipe‐based (P‐EGS) systems suffer accelerated thermal drawdown.
Fangchao Kang +4 more
wiley +1 more source
This study examines energy evolution in rock rupture via triaxial direct shear tests, exploring the impact of confining pressure and temperature on fracture surface randomness. A novel energy‐based brittleness index is proposed, validated experimentally, and compared with existing methods for reliability and accuracy.
Biao Wang +5 more
wiley +1 more source
The effect of earthquake prediction on earthquake insurance in New Zealand
M. Hellberg
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Surface hydration‐induced damage in tight oil‐bearing sandy conglomerate reservoirs
A series of techniques such as X‐ray diffraction, scanning electron microscopy, energy‐dispersive spectroscopy, conductivity tests, and infrared thermal imaging were used. The key findings are the identification of a two‐stage surface hydration process and the elucidation of the effects of various minerals and elements on the hydration process ...
Anbang Zhao +5 more
wiley +1 more source
Japanese National Research Program for Earthquake Prediction
Naoshi Hirata
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Joint orientation significantly affects P‐wave velocity, with the highest velocity at zero‐degree angles, decreasing to 30° as the angle increases. The velocity increases slightly from 30 to 45 degrees but sharply decreases from 45 to 90 degrees. Abstract Determination of the required parameters in different science contexts using the ultrasonic wave ...
Yaghoob Zarei +4 more
wiley +1 more source
The flowchart illustrates rock specimen testing, vibration signal acquisition, and feature extraction with Gaborlet and sparse filtering for classification. Abstract Traditional lithology identification methods mainly rely on core sampling and well‐logging data.
Jian Hao +5 more
wiley +1 more source
Seismic waves with tensile stress, high amplitude, and low frequency are most likely to trigger block instability and sliding. Blocks with a single sliding surface are more prone to movement than those with multiple constraints, and roof‐positioned blocks are especially vulnerable to slide.
Xiao Wang +4 more
wiley +1 more source

