Probabilistic Analysis by Applying Uncertainty Worflows: A Case Study of the Teak Field, East Coast Trinidad

Author(s):  
Carlos Jesus Segnini ◽  
Mahmoud Rashwan ◽  
Mirko Joshoe Hernandez ◽  
Jose Alberto Rojas ◽  
Mariella Alexandra Infante
2014 ◽  
Author(s):  
C.J.. J. Segnini ◽  
M.. Rashwan ◽  
M.J.. J. Hernandez ◽  
J. A. Rojas ◽  
M.A.. A. Infante

Abstract This paper presents a methodology for the probabilistic analysis of an infill or step-out opportunity using numerical simulation. Sensitivity and uncertainty analyses for all involved parameters were evaluated through different experimental design techniques. Subsequently, a proxy model was established to reproduce the numerical model performance. Finally, three appropriate solutions were selected from a large population of realizations corresponding to probabilistic percentiles (90%, 50%, and 10% certainty that the specified volume will be recovered). This proposed methodology helped the asset team to evaluate the well candidates more precisely, confidently, and in less time than the current standard methodology. More knowledge about the variables and their effects on overall outcomes was also gained, which helped the team make more-informed decisions. The workflow used the same numerical modeling software, incorporating and facilitating the changes of both static and dynamic properties simultaneously. A case study from Teak field, on the east coast of Trinidad, illustrates the applicability of the methodology and compares its results to those obtained using the standard workflow for the asset. The methodology is one of the latest developments in reservoir simulation, and it has not yet been incorporated into the operator's common practices and procedures for exploitation of the TSP fields.


2019 ◽  
Vol 58 (2) ◽  
pp. 315-337 ◽  
Author(s):  
Thomas Cogswell

AbstractHistorians have not paid close attention to the activities of freebooters operating out of Dunkirk in the late 1620s. This essay corrects that omission by first studying the threat from Dunkirk to England's east coast and then addressing how the central government, counties, and coastal towns responded. A surprisingly rich vein of manuscript material from Great Yarmouth and particularly from the Suffolk fishing community of Aldeburgh informs this case study of the impact of this conflict around the North Sea.


2018 ◽  
Author(s):  
Anand Yadav ◽  
Animesh Kumar ◽  
Venkat Iyer ◽  
Tushar Ganjoo ◽  
Devesh Bhaisora

2018 ◽  
Vol 16 (7) ◽  
Author(s):  
Oliver Ling Hoon Leh ◽  
Muhammad Shamsul Azdhar Zulkapli ◽  
Kwong Qi Jie ◽  
Nurul Ashikin Mabahwi

Referring to the Malaysian National Security Council, disaster is defined as a catastrophic situation that claimed many lives and caused extensive damage to property and potentially endangers the public peace and security. In Malaysia, there were few natural disaster events that can be said to be among the worst ever in terms of the number of deaths and damages. However, these occurrences were not as severe as overseas. At the end of December 2014, there was a catastrophic flood called as the 'Bah Kuning' was hitting the east coast of Peninsular Malaysia. It resulted in almost 85% of the total Kuala Krai area inundated by flood water. One of the elements in post-disaster recovery is rebuilding shelter for victims. Regardless, it is important to research on residents’ satisfaction as it will affect the well-being directly or indirectly. Thus, a study was carried out to evaluate the satisfaction of residents (victims) on the “New Permanent Houses” (Rumah Kekal Baharu, RKB) that they received from the redevelopment project. A questionnaire survey was carried out to collect and understand respondents’ satisfaction on the redevelopment of their housing area, in specific, the quality of their newly reconstructed houses and the supporting facilities or infrastructure in their area. From the analysis, it was found that majority of the respondents were satisfied with their newly redeveloped houses and the infrastructure. The satisfaction level was associated with the locational and land ownership factors.


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