Formation Testing Strategy Based on Quick-Look Data Evaluation From a Fractured Basement Reservoir: A Case Study From Kharir Field Yemen

2007 ◽  
Author(s):  
Marc De Urreiztieta ◽  
Xavier Troussaut ◽  
Ali Baradi ◽  
Guru Nagaraj ◽  
Philippe Tresse ◽  
...  
Keyword(s):  
Data Evaluation ◽  
Testing Strategy

Formation testing strategy based on quick-look data evaluation from a fractured basement reservoir: A case study from Kharir Field Yemen

2007 ◽  
Author(s):  
M. De Urreiztieta ◽  
X. Troussaut ◽  
A. Baradi ◽  
G. Nagaraj ◽  
P. Tresse ◽  
...  
Keyword(s):  
Data Evaluation ◽  
Testing Strategy

Formation Testing Strategy Based on Quick-Look Data Evaluation From a Fractured Basement Reservoir: A Case Study From Kharir Field Yemen

2007 ◽  
Author(s):  
Marc De Urreiztieta ◽  
Xavier Troussaut ◽  
Ali Baradi ◽  
Guru Nagaraj ◽  
Philippe Tresse ◽  
...  
Keyword(s):  
Data Evaluation ◽  
Testing Strategy

Optimal Testing Strategy for Containing COVID-19: A Case-Study on Indian Migrant Worker Population

2020 ◽  
Author(s):  
Manxi Wu ◽  
Devendra Shelar ◽  
Raja Gopalakrishnan ◽  
Saurabh Amin
Keyword(s):  
Migrant Worker ◽  
Testing Strategy

scholarly journals A Modular Digital Twinning Framework for Safety Assurance of Collaborative Robotics

2021 ◽  
Vol 8 ◽  
Author(s):  
J.A. Douthwaite ◽  
B. Lesage ◽  
M. Gleirscher ◽  
R. Calinescu ◽  
J. M. Aitken ◽  
...  
Keyword(s):  
Testing Strategy ◽  
Modular Architecture ◽  
Industrial Case Study ◽  
Safety Assurance ◽  
Physical Environments ◽  
Digital Twins ◽  
The Creation ◽  
Hardware Platforms ◽  
And Control

Digital twins offer a unique opportunity to design, test, deploy, monitor, and control real-world robotic processes. In this paper we present a novel, modular digital twinning framework developed for the investigation of safety within collaborative robotic manufacturing processes. The modular architecture supports scalable representations of user-defined cyber-physical environments, and tools for safety analysis and control. This versatile research tool facilitates the creation of mixed environments of Digital Models, Digital Shadows, and Digital Twins, whilst standardising communication and physical system representation across different hardware platforms. The framework is demonstrated as applied to an industrial case-study focused on the safety assurance of a collaborative robotic manufacturing process. We describe the creation of a digital twin scenario, consisting of individual digital twins of entities in the manufacturing case study, and the application of a synthesised safety controller from our wider work. We show how the framework is able to provide adequate evidence to virtually assess safety claims made against the safety controller using a supporting validation module and testing strategy. The implementation, evidence and safety investigation is presented and discussed, raising exciting possibilities for the use of digital twins in robotic safety assurance.

Integrated Testing Strategy for the Safety of Botanical Ingredients: A Case Study with German Chamomile Constituents

2021 ◽  
Author(s):  
Cristina Avonto ◽  
Zemin Wang ◽  
Jongmin Ahn ◽  
Rajeshwar P. Verma ◽  
Nakissa Sadrieh ◽  
...  
Keyword(s):  
Testing Strategy ◽  
Integrated Testing

A Case Study of Testing Strategy for AI SoC

2019 ◽  
Author(s):  
Haiying Ma ◽  
Rui Guo ◽  
Quan Jing ◽  
Jing Han ◽  
Yu Huang ◽  
...  
Keyword(s):  
Testing Strategy

Skin sensitization testing strategy and safety assessment of topical ingredients: A case study

2017 ◽  
Vol 280 ◽  
pp. S45-S46
Author(s):  
Dirk Petersohn ◽  
Alépée Nathalie ◽  
Takao Ashikaga ◽  
Elodie Clouet ◽  
Magalie Cluzel ◽  
...  
Keyword(s):  
Safety Assessment ◽  
Skin Sensitization ◽  
Testing Strategy
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