Successful Application of Geological Process Modeling Techniques for a Offshore Deltaic Reservoir: A Case Study from Western Offshore Basin, India

2020 ◽  
Author(s):  
Abhishek Moharana ◽  
Mahabir Prasad Mahapatra ◽  
Subrata Chakraborty ◽  
Debakanta Biswal ◽  
Khushboo Havelia
Keyword(s):  
Process Modeling ◽  
Geological Process ◽  
Modeling Techniques

Successful Application of Geological Process Modeling Techniques for a Offshore Deltaic Reservoir: A Case Study from Western Offshore Basin, India

2020 ◽  
Author(s):  
Abhishek Moharana ◽  
Mahabir Prasad Mahapatra ◽  
Subrata Chakraborty ◽  
Debakanta Biswal ◽  
Khushboo Havelia
Keyword(s):  
Process Modeling ◽  
Geological Process ◽  
Modeling Techniques

scholarly journals A clarified typology of core-periphery structure in networks

2021 ◽  
Vol 7 (12) ◽  
pp. eabc9800
Author(s):  
Ryan J. Gallagher ◽  
Jean-Gabriel Young ◽  
Brooke Foucault Welles
Keyword(s):  
Dense Core ◽  
Block Model ◽  
Hub And Spoke ◽  
Block Modeling ◽  
Domain Specific ◽  
The Core ◽  
Detailed Case ◽  
Rich Diversity ◽  
Modeling Techniques

Core-periphery structure, the arrangement of a network into a dense core and sparse periphery, is a versatile descriptor of various social, biological, and technological networks. In practice, different core-periphery algorithms are often applied interchangeably despite the fact that they can yield inconsistent descriptions of core-periphery structure. For example, two of the most widely used algorithms, the k-cores decomposition and the classic two-block model of Borgatti and Everett, extract fundamentally different structures: The latter partitions a network into a binary hub-and-spoke layout, while the former divides it into a layered hierarchy. We introduce a core-periphery typology to clarify these differences, along with Bayesian stochastic block modeling techniques to classify networks in accordance with this typology. Empirically, we find a rich diversity of core-periphery structure among networks. Through a detailed case study, we demonstrate the importance of acknowledging this diversity and situating networks within the core-periphery typology when conducting domain-specific analyses.

On the Application of the Lu-Gre Model to Simulate Joint Friction in Multi-Body Systems

2011 ◽  
Author(s):  
Kedar Gajanan Kale ◽  
Rajiv Rampalli
Keyword(s):  
Friction Model ◽  
Lugre Model ◽  
Friction Forces ◽  
Joint Friction ◽  
Modeling Techniques ◽  
Static Regime ◽  
Increasing Demand ◽  
Automotive Suspension ◽  
Multi Body

Advances in the application of multi-body simulation technology to real world problems have led to an ever increasing demand for higher fidelity modeling techniques. Of these, accurate modeling of friction is of strategic interest in applications such as control system design, automotive suspension analysis, robotics etc. Joints (sometimes referred to as constraints) play an important role in defining the dynamics of a multi-body system. Hence, it is imperative to accurately account for friction forces arising at these joints due to the underlying interface dynamics. In this paper, we discuss the application of LuGre, a dynamic friction model to simulate joint friction. We choose the LuGre model due to its ability to capture important effects such as the Stribeck effect and the Dahl effect. The native 1-d LuGre model is extended to formulate friction computations for non-trivial joint geometries and dynamics in 2 and 3 dimensions. It is also extended to work in the quasi-static regime. Specific applications to revolute, cylindrical and spherical joints in multi-body systems are discussed. Finally, an engineering case study on the effects of joint friction in automotive suspension analysis is presented.

An Industry-Based Evaluation of Process Modeling Techniques

2006 ◽  
pp. 111-122
Author(s):  
Brent Cahill ◽  
David Carrington ◽  
Brian Song ◽  
Paul Strooper
Keyword(s):  
Process Modeling ◽  
Modeling Techniques

A Method for Eliciting Goals for Business Process Models based on Non-Functional Requirements Catalogues

2013 ◽  
pp. 226-244 ◽  
Author(s):  
Evellin Cardoso ◽  
João Paulo A. Almeida ◽  
Renata S. S. Guizzardi ◽  
Giancarlo Guizzardi
Keyword(s):  
Business Process ◽  
Process Modeling ◽  
Business Processes ◽  
Business Process Modeling ◽  
Process Models ◽  
Functional Requirements ◽  
Business Process Models ◽  
Traditional Approaches ◽  
Goal Models

While traditional approaches in business process modeling tend to focus on “how” the business processes are performed (adopting a behavioral description in which business processes are described in terms of procedural aspects), in goal-oriented business process modeling, the proposals strive to extend traditional business process methodologies by providing a dimension of intentionality to business processes. One of the key difficulties in enabling one to model goal-oriented processes concerns the identification or elicitation of goals. This paper reports on a case study conducted in a Brazilian hospital, which obtained several goal models represented in i*/Tropos, each of which correspond to a business process also modeled in the scope of the study. NFR catalogues were helpful in goal elicitation, uncovering goals that did not come up during previous interviews prior to these catalogues’ use.

The Effects of the State of Union Address of USA Presidents to Their Performance Ratings

2015 ◽  
Vol 3 (2) ◽  
pp. 1-12
Author(s):  
Carl Lee
Keyword(s):  
Text Mining ◽  
Performance Ratings ◽  
Presidential Approval ◽  
Approval Ratings ◽  
Mining Technique ◽  
State Of The Union ◽  
Speech Patterns ◽  
Modeling Techniques ◽  
Presidential Approval Ratings

In this article, the authors conduct a case study using text mining technique to analyze the patterns of the president's State of the Union Address in USA, and investigate the effects of these speech patterns on their performance rating in the following year. The speeches analyzed include the recent four USA presidents, Bush (1989 – 1992), Clinton (1993 - 2000), G.W. Bush (2001 – 2008), and Obama (2009 – 2011). The patterns found are further integrated and merged with over 4000 surveys on the presidents' performance ratings from 1989 to 2010. Two text mining methodology are applied to study the text patterns. Two predictive modeling techniques are applied to study the effects of these found patterns to their presidential approval ratings. The results indicate that the speech patterns found are highly associated with their approval rates.

Geological process modeling and geostatistics for facies reconstruction of presalt carbonates

2021 ◽  
Vol 124 ◽  
pp. 104828
Author(s):  
Danilo Jotta Ariza Ferreira ◽  
Henrique Picorelli Ladeira Dutra ◽  
Thais Mallet de Castro ◽  
Wagner Moreira Lupinacci
Keyword(s):  
Process Modeling ◽  
Geological Process
Sign in / Sign up

Export Citation Format

Share Document