New Formulations for the Control of Iron Sulfide Deposits in Oil Production Facilities

2018 ◽  
Author(s):  
M. W Jawish ◽  
R. Suleiman ◽  
Q. Wang ◽  
T. Chen ◽  
S. W. Shen
Keyword(s):  
Iron Sulfide ◽  
Oil Production ◽  
Sulfide Deposits ◽  
Production Facilities

scholarly journals Automated DNA extraction platforms offer solutions to challenges of assessing microbial biofouling in oil production facilities

AMB Express ◽  
2012 ◽  
Vol 2 (1) ◽  
pp. 60 ◽  
Author(s):  
Athenia L Oldham ◽  
Heather S Drilling ◽  
Blake W Stamps ◽  
Bradley S Stevenson ◽  
Kathleen E Duncan
Keyword(s):  
Dna Extraction ◽  
Oil Production ◽  
Automated Dna Extraction ◽  
Production Facilities

Industry Developed Guidelines and Standards for Ageing and Life Extension

2011 ◽  
Author(s):  
Per Otto Selnes ◽  
Gerhard Ersdal
Keyword(s):  
Oil Production ◽  
Oil Industry ◽  
Life Extension ◽  
Industry Association ◽  
Initial Design ◽  
Safe Life ◽  
Design Life ◽  
Standards And Guidelines ◽  
Guidelines And Standards ◽  
Production Facilities

A large number of the Norwegian gas and oil production facilities have exceeded their initial design life but the respective fields are still producing substantial levels of hydrocarbons. In order to ensure technical and operational integrity of these ageing facilities, the Norwegian oil industry Association (OLF) has initiated a project to establish the necessary standards and guidelines for assessing and ensuring safe life extensions. This paper presents this project and the headlines of these standards and guidelines.

Oil production facilities management improving using the analogy method

2020 ◽  
pp. 42-50
Author(s):  
V.V. Mukhametshin ◽  
Keyword(s):  
Oil Recovery ◽  
Oil Production ◽  
Geological Structure ◽  
Oil Fields ◽  
Facilities Management ◽  
Analogy Method ◽  
Oil Reserves ◽  
High Degree ◽  
Production Facilities

For the conditions of an oil fields group characterized by an insufficiently high degree of oil reserves recovery, an algorithm for objects identifying using parameters characterizing the objects’ geological structure and having a predominant effect on the oil recovery factor is proposed. The proposed algorithm allows us to substantiate and use the analogy method to improve the oil production facilities management efficiency by targeted selection of the information about the objects and processes occurring in them, removing uncertainties in low density conditions, the emergence of real-time decision-making capabilities, determination of optimal ways of current problems solving, reducing the probability of erroneous decisions making, justifying the trend towards the goals achieving.

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