Results 111 to 120 of about 20,321 (318)
New Opportunities in Seismic Data Processing
Recent developments in signal processing offers new favorable approaches for data processing. In this article we focus on seismic applications where two main developments will be illustrated. First, we demonstrate a compressed sensing approach to data acquisition that allows for increased resolution with fewer samples.
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ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini +2 more
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SEISMIC RISK ASSESSMENT OF A PROCESS PLANT UNIT ACCOUNTING FOR DYNAMIC INTERACTION [PDF]
George Karagiannakis, Luigi Di Sarno
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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 +5 more
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SEISMIC GEODYNAMIC PROCESSES CASPIAN REGION
В работе рассмотрены современная сейсмичность и возможные геодинамические модели сжатия осадочной толщи Южно-Каспийской впадины, которые позволяют объяснить феномен резкого изменения уровня Каспия The article considers the seismic geodynamic model of compression
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Exploring Foundation Models for Seismic Event Processing
Lisa Linville
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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 +11 more
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Seismic Stratigraphy and Sedimentary Processes in Orca and Pigmy Basins
A.H. Bouma +2 more
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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 +8 more
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