Upscaling Process for Nanofluids Usage for Heavy Oil Mobility Enhancement: Experimental Design and Field Trial Application

2020 ◽  
Author(s):  
Daniel Montes
Keyword(s):  
Experimental Design ◽  
Heavy Oil ◽  
Field Trial

Field Trial Results of an Innovative Heavy Oil Production System

2013 ◽  
Author(s):  
Alan McAleese ◽  
Richard McCann ◽  
Michael James Rushby
Keyword(s):  
Heavy Oil ◽  
Production System ◽  
Field Trial ◽  
Oil Production

Experimental Design and Evaluation of Surfactant Polymer for a Heavy Oil Field in Sultanate of Oman

2021 ◽  
Author(s):  
R. Al-Jabri ◽  
R. Farajzadeh ◽  
A. Alkindi ◽  
R. Al-Mjeni ◽  
D. Rousseau ◽  
...  
Keyword(s):  
Experimental Design ◽  
Heavy Oil ◽  
Oil Field ◽  
Sultanate Of Oman

Effectiveness of Spot Insecticide Treatments for Red Imported Fire Ant (Hymenoptera: Formicidae) Control2

1995 ◽  
Vol 30 (4) ◽  
pp. 489-496 ◽  
Author(s):  
Homer L. Collins ◽  
Anne-Marie A. Callcott
Keyword(s):  
Experimental Design ◽  
Solenopsis Invicta ◽  
Field Trial ◽  
Fire Ant ◽  
Red Imported Fire Ant ◽  
Ant Colonies ◽  
Large Numbers ◽  
Solenopsis Invicta Buren ◽  
Imported Fire Ant

Spot treatments with Dursban 2EC, Optem PT-600, Bengal Fire Ant Killer, and Orthene 75S were evaluated for control of imported fire ant, Solenopsis invicta Buren, colonies. Because imported fire ant colonies frequently relocate their nest following insecticide applications, a field trial utilizing an experimental design which compensated for colony relocation was conducted. Results of this trial showed that, in addition to frequent colony relocation, large numbers of individual ants succumbed to several of the insecticides under trial. However, many ant colonies survived some treatments, and actual colony mortality ranged from 11.1% with Orthene 75S to 80.4% with Dursban 2EC 8 wks after treatment.

Identifying suboptimalities with factorial model comparison

2018 ◽  
Vol 41 ◽  
Author(s):  
Wei Ji Ma
Keyword(s):  
Experimental Design ◽  
Model Comparison ◽  
Process Models ◽  
Multiple Forms ◽  
Factorial Experimental Design ◽  
Factorial Model ◽  
Multiple Components ◽  
The Many

AbstractGiven the many types of suboptimality in perception, I ask how one should test for multiple forms of suboptimality at the same time – or, more generally, how one should compare process models that can differ in any or all of the multiple components. In analogy to factorial experimental design, I advocate for factorial model comparison.

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