Implementation of the oil spill preparedness for the Goliat offshore oil field development - The first oil field development in the Barents Sea

2012 ◽  
Author(s):  
Erik Bjornbom ◽  
Ole Hansen ◽  
Frode Engen ◽  
Sjur W. Knudsen
Keyword(s):  
Oil Spill ◽  
Barents Sea ◽  
Oil Field ◽  
Field Development ◽  
Oil Field Development ◽  
The Barents Sea ◽  
Offshore Oil

Optimal design and scheduling for offshore oil-field development

2019 ◽  
Vol 123 ◽  
pp. 300-316 ◽  
Author(s):  
Yuxi Wang ◽  
Segen F. Estefen ◽  
Marcelo Igor Lourenço ◽  
Cheng Hong
Keyword(s):  
Optimal Design ◽  
Oil Field ◽  
Field Development ◽  
Oil Field Development ◽  
Offshore Oil

Broadband experience on deep offshore oil field development: Angolan example, B17/CLOV project

2013 ◽  
Author(s):  
Celso Gomes ◽  
Loic Bovet ◽  
Christian Deplante ◽  
Sergio Tchikanha ◽  
Enrico Zamboni
Keyword(s):  
Oil Field ◽  
Field Development ◽  
Oil Field Development ◽  
Offshore Oil

The Use of Mathematical Programming to Determine Optimal Production and Drilling Schedule in an Offshore Oil Field, A Case Study From the Barents Sea

2021 ◽  
Author(s):  
Guowen Lei ◽  
Milan Stanko ◽  
Thiago Lima Silva ◽  
Tom Widerøe ◽  
Arnljot Skogvang
Keyword(s):  
Mathematical Programming ◽  
Barents Sea ◽  
Dynamic Environment ◽  
Oil Field ◽  
Well Test ◽  
Production Schedule ◽  
Initial Field ◽  
Field Development ◽  
The Barents Sea ◽  
Field Planning

Abstract A field with two neighboring reservoirs was discovered in the Barents Sea in 2013 and 2014. After a successful extended well test of an appraisal well in 2018 and initial field planning tasks, a preliminary drilling and production schedule was proposed based on cross-domain collaboration and group work involving several disciplines. In this paper, mathematical programming is employed to model and optimize the economic value of the project in order to determine the best drilling and production schedule for the field. The optimization includes some of the technical constraints considered by the field development team while also considering uncertainties such as reservoir size, productivity of well, and cost. These have been systematically evaluated by using simulation-based optimization (sampling). The results were that the use of mathematical programming allows the field planner to evaluate several scenarios within a reasonable time frame, thereby enabling rapid changes in the decisions to respond to new information and risk considerations in a dynamic environment. This paper illustrates the benefits of utilizing mathematical programming in early field planning to optimize the drilling and production schedule.

A Unique Integrated Asset Modeling Solution to Optimize and Manage Uncertainty in a Giant Offshore Oil Field Development Mega-Project

2012 ◽  
Author(s):  
Osama Hamdy Khedr ◽  
Jayant Amur ◽  
Rakkad Al-Ameri ◽  
Richard Torrens ◽  
Ahmed Abdalslam Amtereg
Keyword(s):  
Oil Field ◽  
Field Development ◽  
Oil Field Development ◽  
Offshore Oil
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