Results 151 to 160 of about 141,831 (302)

General theory of the modified Gutenberg-Richter law for large seismic moments

, 1999
The Gutenberg-Richter power law distribution of earthquake sizes is one of the most famous example illustrating self-similarity. It is well-known that the Gutenberg-Richter distribution has to be modified for large seismic moments, due to energy ...
Sornette, A., Sornette, D.
core  

Research on the Laws of Destructive Patterns and Control Measures of Overlying Rock in High‐Efficiency Large‐Scale Mining Faces

Energy Science &Engineering, EarlyView.
With the advancement of coal mining technology driving the development of working faces toward increased mining heights and extended lengths, the enlargement of face dimensions has led to expanded overlying strata failure zones and intensified ground pressure manifestations. Consequently, traditional methods for determining hydraulic support resistance
Chen Gong, Peilin Gong, Kang Yi, Kaijie Duan, Lizhu Liu, Peng Li   +5 more
wiley   +1 more source

Seismic Behavior of Persian Brick Arches

Indian Journal of Science and Technology, 2014
The application of arch structural form in Iran goes back to as far as thousands of years ago. Arch is a fundamental component of Iranian architecture. Other structural systems such as vaults and domes are indeed derived from arch. In the present study, the stability of various Iranian arches with regards to weight, surcharge and earthquake has been ...
openaire   +2 more sources

Stress Redistribution Mechanisms and Subsidence Control of Fluidized Gangue Backfilling in Underground Coal Mining: Integrated Experimental and Numerical Investigation

Energy Science &Engineering, EarlyView.
Fluidized gangue backfilling controls mining subsidence through stress redistribution in composite backfill‐pillar systems, reducing surface settlement and stress concentrations. Multi‐scale experimental and numerical analysis provides quantitative design parameters for optimizing ground control in sustainable underground coal mining operations ...
Weilong Zhang, Jie Zhang, Yuanzhen Zhang, Wenjing Liu, Liang Li, Deyi Nan, Guannan Zhao, Chen Yang, Haiqing Bian, Hua Shao, Xiao Zuo, Changtai Zhou   +11 more
wiley   +1 more source

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

Energy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan, Haijiao Fu, Detian Yan, Gang Wang, Shuguang Yang, Mengmeng Liu, Qingling Jiang, Xiaoming Wang, Wei Wang   +8 more
wiley   +1 more source

Smart Solar Power Site Selection Through a Hybrid Computational Framework of Neuro‐Fuzzy With Genetic Algorithm Optimization

Energy Science &Engineering, EarlyView.
Solar Power plants at various locations a: Pavagada SPP, Karnataka b: Bhadla SPP, Rajasthan c: West Bengal Solar Park ABSTRACT This paper presents a new neuro‐fuzzy multi‐criteria decision‐making (MCDM) framework designed to optimize the selection of solar power plant (SPP) sites across India.
Rajkumari Malemnganbi Devi, Benjamin A. Shimray, Ingudam Chitrasen Meitei, Khelchandra Thongam, Shuma Adhikari, Anuradha Laishram, Subir Datta, Ahmed Al Mansur, Taha Selim Ustun   +8 more
wiley   +1 more source

Coupled Fluid–Structure–Acoustic Analysis of Flow‐Induced Noise Control Using an Elastic Baffle in a Micro Channel

Energy Science &Engineering, EarlyView.
This research explores how fluid flow, structural movement, and sound interact in an elastic baffle system. Using a numerical approach based on the finite element method, the study analyzes how noise and vibrations change with different baffle configurations. The findings reveal that shortening the baffle by half reduces noise transmission by 9%, while
Tohid Adibi, Seyed Esmail Razavi, Shams Forruque Ahmed, Khashayar Fardnia, Aydin Qheydarpoor, Hammad Alotaibi   +5 more
wiley   +1 more source

Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors

Energy Science &Engineering, EarlyView.
Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen, Linming Dou, Atao Li, Wu Cai, Lei Zhang   +4 more
wiley   +1 more source

Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil

Greenhouse Gases: Science and Technology, EarlyView.
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira, Beatriz R. Almeida, Thiago R. C. Justino, Carlos A. S. Santos, Alex A. Santos, Fabiana Philipi   +5 more
wiley   +1 more source

Development and Application of a Simplified Method for Preliminary Assessment of Enhanced Oil Recovery and CO2 Geological Storage in Petroleum Reservoirs

Greenhouse Gases: Science and Technology, EarlyView.
ABSTRACT Geologic carbon storage in depleted oil and gas reservoirs is a key CO2 mitigation strategy, utilizing existing infrastructure such as injection wells and pipelines, while capitalizing on well‐characterized subsurface properties. This article introduces a versatile methodology designed to estimate critical parameters, including the number of ...
Nívia Morgana de Oliveira, Paulo Couto, Alexandre Szklo   +2 more
wiley   +1 more source