Development of Integrated Modeling Tools for Field with SWAG

2015 ◽  
Author(s):  
D. V. Efimov ◽  
K. E. Shlychkov ◽  
P. V. Vinogradov ◽  
E. I. Sergeev ◽  
A. V. Zaynulin ◽  
...  
Keyword(s):  
Integrated Modeling ◽  
Modeling Tools

Integrated modeling tools for large ground-based optical telescopes

2004 ◽  
Author(s):  
George Z. Angeli ◽  
Anna Segurson ◽  
Robert Upton ◽  
Brooke Gregory ◽  
Myung Cho
Keyword(s):  
Integrated Modeling ◽  
Modeling Tools ◽  
Optical Telescopes

Hierarchy of Integrated Models of Varying Detail to Solve Problems at Different Stages of Gas Condensate Projects Development

2021 ◽  
Author(s):  
Artem Igorevich Varavva ◽  
Renat Timergaleevich Apasov ◽  
Ruslan Rustamovich Badgutdinov ◽  
Ayrat Flyurovich Yamaletdinov ◽  
Fedor Andreevich Koryakin ◽  
...  
Keyword(s):  
Initial Data ◽  
Lessons Learned ◽  
Integrated Modeling ◽  
Gas Condensate ◽  
Integrated Models ◽  
Project Development ◽  
Modeling Tools ◽  
Levels Of Detail ◽  
Integration Mechanism

Abstract This study makes an attempt to generalize the integrated modeling tools used by the authors in practice on the basis of the following criteria: the volume of the initial data, the integration mechanism, constraints and assumptions. Various types of integrated models are compared with each other, the need for their application is analyzed, they are connected at various stages of the project development and by the tasks solved at this stage. It also describes the challenges that the authors encountered when working with integrated models of various levels of detail, approaches to their solution, and the lessons learned.

Integrated Modeling and Analysis to Support Model-Based Systems Engineering

2012 ◽  
Author(s):  
Hongman Kim ◽  
David Fried ◽  
Peter Menegay ◽  
Grant Soremekun
Keyword(s):  
Design Optimization ◽  
Systems Engineering ◽  
Optimization Problems ◽  
Integrated Modeling ◽  
System Model ◽  
Engineering Analysis ◽  
Modeling Tools ◽  
Modeling And Analysis ◽  
Model Based ◽  
Model Based Systems Engineering

Model-based systems engineering (MBSE) is an approach to improve traditional document-based systems engineering approach through the use of a system model. In the current practice of system developments, there exists a large gap between systems engineering activities and engineering analyses, because systems engineers and engineering analysts are using different models, tools and terminology. The gap results in inefficiencies and quality issues that can be very expensive. This work presents an integrated modeling and analysis capability that bridges the gap. The technical approach is based on integrating SysML modeling tools with process integration and design optimization framework. This approach connects SysML models with various engineering analysis tools through a common interface. A capability was developed to automatically generate analysis models from a system model and then execute the analytical models. Requirements conformance analysis was performed using results of engineering analysis. A technique was developed to define optimization problems in SysML, where requirements were used as design constraints. The integrated system modeling and analysis capability was demonstrated using an automobile brake pad design example. The integrated toolset was used to understand impacts of requirements changes in the SysML model and to find a new design that meets the new requirements through engineering design optimization.

Development of Integrated Modeling Tools for Field with SWAG (Russian)

2015 ◽  
Author(s):  
D. V. Efimov ◽  
K. E. Shlychkov ◽  
P. V. Vinogradov ◽  
E. I. Sergeev ◽  
A. V. Zaynulin ◽  
...  
Keyword(s):  
Integrated Modeling ◽  
Modeling Tools

Low-Carbon Russia: Prospects after the Crisis

2009 ◽  
pp. 107-120 ◽  
Author(s):  
I. Bashmakov
Keyword(s):  
Economic Growth ◽  
Potential Energy ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Low Carbon ◽  
Modeling Tools ◽  
Gas Emissions ◽  
Scenario Approach

On the eve of the worldwide negotiations of a new climate agreement in December 2009 in Copenhagen it is important to clearly understand what Russia can do to mitigate energy-related greenhouse gas emissions in the medium (until 2020) and in the long term (until 2050). The paper investigates this issue using modeling tools and scenario approach. It concludes that transition to the "Low-Carbon Russia" scenarios must be accomplished in 2020—2030 or sooner, not only to mitigate emissions, but to block potential energy shortages and its costliness which can hinder economic growth.

Integrated Modeling for Location Analysis

2016 ◽  
Author(s):  
Ho-Yin Mak ◽  
Zuo-Jun Max Shen
Keyword(s):  
Integrated Modeling ◽  
Location Analysis
Sign in / Sign up

Export Citation Format

Share Document