Complete Quasi-Static Modeling of 130nm RF MOSFETs

2006 ◽  
Author(s):  
Young Jung ◽  
In Kang ◽  
Hyungcheol Shin
Keyword(s):  
Static Modeling

scholarly journals Design and Development of an e-Learning Project Management System: Modelling and Prototyping

2020 ◽  
Vol 15 (19) ◽  
pp. 95
Author(s):  
Maha Khaldi ◽  
Mohamed Erradi
Keyword(s):  
Project Management ◽  
Management System ◽  
System Modelling ◽  
Use Case ◽  
Design And Development ◽  
Activity Diagram ◽  
Project Management System ◽  
Static Modeling ◽  
E Learning ◽  
Use Case Diagram

In this work, based on the results obtained concerning the analysis and the needs of our project which concerns the design and development of an e-Learning project management system, we present the modeling stage with UML. Based on one hand, on two diagrams: class diagram and use case diagram, for static modeling and on the other hand, based on three diagrams: activity diagram, sequence diagram, diagram transition state for dynamic modeling. Finally, we offer examples of models for our project.

Structural (Static) Modeling

2002 ◽  
pp. 212-276
Author(s):  
Sinan Si Alhir
Keyword(s):  
Static Modeling

Dynamic to Static Modeling

Geophysics ◽  
2021 ◽  
pp. 1-43
Author(s):  
Javad Sharifi
Keyword(s):  
Reservoir Characterization ◽  
Triaxial Compression ◽  
Rock Physics ◽  
Regression Equations ◽  
Compression Tests ◽  
In Situ Tests ◽  
Factors Affecting ◽  
Static Modulus ◽  
Wide Range ◽  
Static Modeling

Dynamic-to-static modulus conversion has long been recognized as a complicated and challenging task in reservoir characterization and seismic geomechanics, and many single- and two-variable regression equations have been proposed. In practice however, the form and constants of the regression equation are variable from case to case. I introduce a methodology for estimating the static moduli called dynamic-to-static modeling (DTS). The methodology was validated by laboratory tests (ultrasonic and triaxial compression tests) to obtain dynamic and quasi-static bulk and Young’s (elasticity) moduli. Next, rock deformation phenomena were simulated considering different parameters affecting the process. The dynamic behavior was further modeled using rock physics methods. Unlike the conventional dynamic-to-static conversion procedures, the method considers a wide range of factors affecting the relationship between the dynamic and static moduli, including strain amplitude, dispersion, rock failure mechanism, pore shape, crack parameters, poromechanics, and upscaling. A comparison between the data from laboratory and in-situ tests and the estimation results indicated promising findings. The accuracy of the results was assessed by the analysis of variance (ANOVA). In addition to modeling the static moduli, DTS can be used to verify the static and dynamic moduli values with appropriate accuracy when core data is not available.

Workflow from Seismic to Static Modeling Capturing Key Heterogeneities Impacting Production Performance in a Super-Giant Middle East Carbonate Field

2010 ◽  
Author(s):  
Marc Grausem ◽  
David A. Lawrence ◽  
Volker Vahrenkamp ◽  
Malalla Al Ali ◽  
Majid Al Shemsi ◽  
...  
Keyword(s):  
Middle East ◽  
Production Performance ◽  
Static Modeling

Integrating Rock Physics, Seismic Reservoir Characterization and Static Modeling of Carbonates; a Case Study from the UAE

2010 ◽  
Author(s):  
Fathy El-Wazeer ◽  
Antonio Vizamora ◽  
Aysha Al Hamedi ◽  
Habeeba Al-Housani ◽  
Peter Abram ◽  
...  
Keyword(s):  
Reservoir Characterization ◽  
Rock Physics ◽  
Seismic Reservoir ◽  
Static Modeling
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