Results 111 to 120 of about 903,663 (292)

Deep-learning-based natural fracture identification method through seismic multi-attribute data: a case study from the Bozi-Dabei area of the Kuqa Basin, China

Frontiers in Earth Science
Fractures play a crucial role in tight sandstone gas reservoirs with low permeability and low effective porosity. If open, they not only significantly increase the permeability of the reservoir but also serve as channels connecting the storage space ...
Yongliang Tang, Yongliang Tang, Yongliang Tang, Yongliang Tang, Yongliang Tang, Yongliang Tang, Yongliang Tang, Dong Chen, Dong Chen, Dong Chen, Dong Chen, Dong Chen, Hucheng Deng, Fenglai Yang, Fenglai Yang, Fenglai Yang, Fenglai Yang, Haiyan Ding, Yuyong Yang, Cuili Wang, Cuili Wang, Cuili Wang, Xiaofei Hu, Naidong Chen, Naidong Chen, Chuan Luo, Ming Tang, Yu Du   +27 more
doaj   +1 more source

Seismic Performance of Reduced‐Strength Steel MRFs With SMA‐Based Superelastic Friction Dampers: An Experimental Investigation

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Shape memory alloys (SMAs) exhibit excellent self‐centering capability due to their stress‐induced phase transformation, making them highly suitable for applications in resilient infrastructure. This study investigates the seismic performance of reduced‐strength moment‐resisting frames (MRFs) equipped with SMA‐based superelastic friction ...
Faisal Nissar Malik, Liang Cao, James Ricles, Fei Shi, Chinmoy Kolay, Osman E. Ozbulut   +5 more
wiley   +1 more source

Enhancing the Seismic Resilience of Masonry‐Infilled RC Structures Using Rubber Joints: Full‐Scale 3D Shaking Table Tests

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Masonry infills in reinforced concrete (RC) frames are highly vulnerable to seismic damage, often sustaining severe cracking even under moderate ground motion, which in turn leads to considerable economic losses and safety risks. To address this issue, this study experimentally evaluates the effectiveness of two innovative rubber‐based joints ...
Enrico Tubaldi, Marko Marinković, Simone Galano, Alessandro Lotti, Fabio Freddi, Daniele Losanno, Hamid Ahmadi, Matjia Gams, Nemanja Krtinić, Matija Bošković, Christoph Butenweg, Prateek Kumar Dhir, F. Manojlovski, A. Bogdanovic, Zoran Rakicevic, Vlatko Sheshov, J. Bojadzieva   +16 more
wiley   +1 more source

Carbonate Seismic Facies Analysis in Reservoir Characterization: A Machine Learning Approach with Integration of Reservoir Mineralogy and Porosity

Geosciences
Amid increasing interest in enhanced oil recovery and carbon geological sequestration programs, improved static reservoir lithofacies models are emerging as a requirement for well-guided project management.
Papa Owusu, Abdelmoneam Raef, Essam Sharaf   +2 more
doaj   +1 more source

Direction‐Aware Period Prediction for Seismic Risk Assessment and Application to an Urban Tall Building Portfolio in China

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Reliable estimation of the principal periods is essential for regional seismic risk assessment (RSRA) of urban building portfolios. For tall buildings, however, existing period‐prediction formulas are constrained by the lack of representative data, while building translational azimuths are neglected despite their importance for regional ...
Zi‐Nan Wu, Ahmed Y. Elghazouli, Mengjie Xiang   +2 more
wiley   +1 more source

A Parametric Computational Framework for Modeling and Seismic Design of Post‐Tensioned Mass Timber Rocking Walls

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Post‐tensioned cross‐laminated timber (PT‐CLT) rocking walls offer a compelling seismic system combining self‐centering behavior with energy dissipation. However, progress in their performance assessment and design has been limited by the lack of a comprehensive parametric modeling tool, as exists for steel or reinforced concrete systems. This
Ghasem B. Shargh, André R. Barbosa, John W. van de Lindt, Nathan C. Brown   +3 more
wiley   +1 more source

Unsupervised machine learning-based multi-attributes analysis for enhancing gas channel detection and facies classification in the serpent field, offshore Nile Delta, Egypt

Geomechanics and Geophysics for Geo-Energy and Geo-Resources
The prediction of highly heterogeneous reservoir parameters from seismic amplitude data is a major challenge. Seismic attribute analysis can enhance the tracking of subtle stratigraphic features.
Shaimaa A. El-Dabaa, Farouk I. Metwalli, Ali Maher, Amir Ismail   +3 more
doaj   +1 more source

Structural Effects of Vertical Non‐Skeletal Elements (NSEs) With Rocking Mechanisms

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT This paper introduces the structural effects provided by vertical non‐skeletal elements (NSEs), such as claddings and partitions, with vertical slotted holes at their supports to enable rocking as the frame undergoes significant lateral deformation.
Zheng Luo, Gregory A. MacRae, Chin‐Long Lee   +2 more
wiley   +1 more source

Kiruna region earthquakes, blasts and mining induced events

Data set of 189 earthquakes, 221 mining induced events from the Kiruna mine and 221 blasts from the Kiruna mine, recorded by seismic stations of the Swedish National Seismic Network (SNSN) and neighbouring countries. The earthquakes are mostly located to
Swedish National Seismic Network
core   +1 more source

Numerical Simulations of 5‐Story Building Using Wood Light‐Frame Shear Walls and Post‐Tensioned Cross‐Laminated Timber Rocking Wall Dual Systems

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT This study explores the seismic performance of a five‐story prototype building using different configurations of a dual lateral force‐resisting system (LFRS) combining post‐tensioned cross‐laminated timber rocking walls (PT‐CLT‐RW) with conventional wood light‐frame shear walls (LiFS).
Ruben Jerves, Adam R. Phillips
wiley   +1 more source