THE ROLE OF 3D SEISMIC INTERPRETATION FOR BUILDING STRUCTURAL MODEL – CASE STUDY ON THE MUNTENIA OIL FIELD (ROMANIA)

2019 ◽  
Author(s):  
Nicoleta-Mihaela Goidescu (Ionescu)
Keyword(s):  
Structural Model ◽  
Seismic Interpretation ◽  
Oil Field ◽  
3D Seismic ◽  
Model Case

Role of incompetent strata and geometry of faults on the folding mechanism, a case study: the Karun oil field in the Dezful Embayment, Iran

2019 ◽  
Vol 5 (4) ◽  
pp. 1781-1800
Author(s):  
Gh. Reza Asgari ◽  
Farzin Ghaemi ◽  
Bahman Soleimany ◽  
Behnam Rahimi ◽  
Younes Shekarian
Keyword(s):  
Oil Field ◽  
Dezful Embayment ◽  
Folding Mechanism

scholarly journals Analysis of Customer Behavior in Mobile Food Ordering Application Using UTAUT Model (Case Study: GoFood Application)

2020 ◽  
Vol 4 (01) ◽  
pp. 23-34 ◽  
Author(s):  
Berlian Maulidya Izzati
Keyword(s):  
Perceived Control ◽  
Quantitative Methods ◽  
Structural Model ◽  
Intention To Use ◽  
Model Case ◽  
Validation Data ◽  
The Social ◽  
Measurement Results ◽  
Negative Effect

One of the mobile application technologies that popular and enjoying extraordinary success in Indonesia is GoJek application. One of many services in gojek app is called go-food. Go-food provides food online service delivery that has three main users. There are merchants, gojek drivers, and customers. Many online food ordering applications have developed, and various issues have occurred, but there has not been much research on the topic. This research is using quantitative methods. Tools to get data is a questionnaire of 60 respondents. The results are validation data and structural model calculation use Smart PLS tools. From the measurement results, there are two variables that have a positive and significant effect (with a t-statistic score> 1.65) on the user's intention to use GoFood, namely the Social Influence and Perceived Control variables. There also performance expectancy, effort expectancy, and facilitating condition variables that have a negative effect (with a t-statistic score <1.65) on the user's intention to use the GoFood application.

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