Results 61 to 70 of about 48,540 (292)
Derivation of Eurocode 8 spectrum-compatible time-histories from recorded seismic accelerograms via harmonic wavelets [PDF]
A computationally efficient harmonic wavelet-based iterative procedure is proposed to modify suites of recorded accelerograms to be used in the aseismic design of critical structures regulated by the European code provisions (EC8).
Giaralis, A., Spanos, P. D.
core +1 more source
A scientometric analysis of 2449 journal articles and a comprehensive review of 336 papers were conducted, discussing and identifying challenges and research gaps in rockburst prediction and prevention and proposing an ontology‐based framework for better decision‐making in underground excavations. Abstract With underground engineering projects becoming
Hongchuan Yan +6 more
wiley +1 more source
Over the past few years, the use of machine learning has gained considerable momentum in many industries, including exploration seismic. While supervised machine learning is increasingly being used in seismic data analysis, some obstacles hinder its ...
Ismailalwali Babikir +7 more
doaj +1 more source
Multiresolution analysis applied to interpretation of seismic reflection data [PDF]
We have developed a method of seismic multiresolution analysis based on the discrete wavelet transform. We illustrate the potential use in petroleum exploration of the joint application of multiresolution analysis and seismic attributes for a real case ...
J. O. Campos-Enríquez +3 more
doaj
This study highlights that with the static and time‐dependent evolution of slip versus dilation tendency parameter space, structurally controlled deep geothermal systems can be selected within areas of higher permeability and lower seismic hazard. Abstract Faults play a vital role in the Earth's hydraulic system by facilitating fluid flow when dilating
Michal Kruszewski +4 more
wiley +1 more source
Machine Learning Workflow for Fracture Modeling in the Tensleep Reservoir
Fractured reservoir characterization is a complex and challenging task due to its depositional nature and high uncertainty in the spatial distribution of fractures, typically when well data is limited, and interpolation algorithms are employed.
Israa Ahmed +2 more
doaj +1 more source
Deep attributes: innovative LSTM-based seismic attributes
SUMMARY Seismic attributes are derived measures from seismic data that help characterize subsurface geological features and enhance the interpretation of subsurface structures: we propose to exploit the hidden layers of Long–Short Time Memory neural network predictions as possible new reflection seismic attributes.
Roncoroni, G, Forte, E, Pipan, M
openaire +2 more sources
Based on experimental results and theoretical analysis, an established rock damage accumulation model that comprehensively considers the preapplied static load, impact peak value, impact frequency, and impact times. Abstract To study the rock damage mechanism under high static loading and superimposed medium strain rate cyclic impact loading, a series ...
Wei Wang +6 more
wiley +1 more source
Reflection and transmission coefficients of a thin bed [PDF]
The study of thin-bed seismic response is an important part in lithologic and methane reservoir modeling, critical for predicting their physical attributes and/or elastic parameters.
Wang, Y, Wang, Y, Yang, C
core +1 more source
Exploring wave propagation behaviors in rock: A grain‐based perspective on mineral structures
This study investigates wave propagation in rock at the grain scale using a grain‐based model, revealing that mineral elastic modulus significantly influences wave attenuation while grain size and distribution have limited effects. A novel peak particle velocity attenuation prediction model is proposed and validated for grain‐scale wave propagation ...
Zhiyi Liao +3 more
wiley +1 more source

