scholarly journals A new experimental method to prevent paraffin - wax formation on the crude oil wells: A field case study in Libya

2015 ◽  
Vol 69 (3) ◽  
pp. 269-274 ◽  
Author(s):  
Elnori Elhaddad ◽  
Alireza Bahadori ◽  
Manar Abdel-Raouf ◽  
Salaheldin Elkatatny
Keyword(s):  
Pour Point ◽  
Oil Wells ◽  
Fluid Temperature ◽  
Gas Field ◽  
Ethylene Copolymers ◽  
Comb Polymers ◽  
Point Temperature ◽  
Temperature Range ◽  
Gas Lift

Wax formation and deposition is one of the most common problems in oil producing wells. This problem occurs as a result of the reduction of the produced fluid temperature below the wax appearance temperature (range between 46?C and 50?C) and the pour point temperature (range between 42?C and 44?C). In this study, two new methods for preventing wax formation were implemented on three oil wells in Libya, where the surface temperature is, normally, 29?C. In the first method, the gas was injected at a pressure of 83.3 bar and a temperature of 65?C (greater than the pour point temperature) during the gas-lift operation. In the second method, wax inhibitors (Trichloroethylene-xylene (TEX), Ethylene copolymers, and Comb polymers) were injected down the casings together with the gas. Field observations confirmed that by applying these techniques, the production string was kept clean and no wax was formed. The obtained results show that the wax formation could be prevented by both methods.

Innovative Gas Lift in Heavy Oil Wells: Case Study in Block 6, Sudan

2013 ◽  
Author(s):  
Tang Xueqing ◽  
Li Guocheng ◽  
Fahmi Abdalla Alawad ◽  
Yu Keqiang ◽  
Cai Bo ◽  
...  
Keyword(s):  
Heavy Oil ◽  
Oil Wells ◽  
Gas Lift

Predicting Temperatures in Flowing Oil Wells

1980 ◽  
Vol 102 (1) ◽  
pp. 2-11 ◽  
Author(s):  
K. C. Shiu ◽  
H. D. Beggs
Keyword(s):  
Field Data ◽  
Empirical Method ◽  
Oil Wells ◽  
Phase Flow ◽  
Temperature Profiles ◽  
Fluid Temperature ◽  
Two Phase ◽  
Design Problems ◽  
Gas Lift ◽  
Subsurface Temperatures

An empirical method is presented for calculating temperature profiles in flowing oil wells. The method is applicable to wells in which two-phase flow is occurring and in which the inlet fluid temperature is known. It was developed from field data and can be used in design problems which require accurate subsurface temperatures, such as flowing pressure traverse calculation and gas-lift design.

Gas Lift Design Optimization Using Intelligent Gas Lift Valves a KJO Case Study

2021 ◽  
Author(s):  
Abdullah Al Qahtani ◽  
Sultan Al-Aklubi ◽  
Abdel BenAmara ◽  
Stephen Faux
Keyword(s):  
Production Rate ◽  
Oil And Gas ◽  
Injection Pressure ◽  
Oil Wells ◽  
Oil Field ◽  
Added Value ◽  
Well Performance ◽  
Time Data ◽  
Gas Lift

Abstract Gas lift is becoming a big consideration in most of oil field as an economic, sustainable means of artificially lifting weak/dead oil wells. This is especially considered in high volume wells. Gas lift is employed, by injecting gas into the well tubing through gas lift valves, to reduce the hydrostatic pressure of the produced fluid column in oil wells, leading to a lower flowing bottom-hole pressure. The increased pressure differential induced across the sand face from the in situ reservoir pressure, assists in lifting the produced fluid to the surface. Optimizing the level of injected gas is important in maximizing the production, and hence the financial performance of the well. The challenge for most oil and gas producers is that they do not effectively maximize production with the most efficient use of gas lift resources. The challenge is that there is a lack of accurate and timely production data from the well tests. The optimal inject rate for a well is based on a ratio of injected gas rate to the liquid production rate. Under injecting the gas decreases the well production rate. The objective of optimization in gas-lifted wells is to achieve optimal production rate with minimal gas injection volume to spare gas for other wells, when the compression capacity is limited. Optimally allocated injection gas helps reduce unnecessary strain on your facility and maximize performance, this in turn enhances the life of production assets significantly. This paper presents a case study from Khafji Joint Operation fields, utilizing the intelligent digital gas lift valve to optimize the design and performance of the gas lift wells. The case study demonstrates the value proposition by using the digital intelligent gas lift system to maximize well performance whilst reducing injected gas, in addition to acquired real-time data that help assess the process. That optimization was achieved on well level by optimizing the well parameters such as point of injection, injection rate, and injection pressure. All these aspects have been investigated and presented in this study by using field data and flow simulations. Results showed the potential added value of the system.

Lumped Parameter Modeling of a Magnetorheological Fluid Clutch

2006 ◽  
Author(s):  
John C. Ulicny ◽  
Daniel J. Klingenberg ◽  
Anthony L. Smith ◽  
Zongxuan Sun
Keyword(s):  
Mathematical Model ◽  
Physical Properties ◽  
Magnetorheological Fluid ◽  
Input Current ◽  
Fluid Composition ◽  
Fluid Temperature ◽  
Temperature Range ◽  
Lumped Parameter ◽  
Lumped Parameter Modeling ◽  
Fan Speed

A lumped-parameter mathematical model of an automotive magnetorheological (MR) fluid fan clutch was developed. This model is able to describe the average fluid temperature, average clutch temperature, and output fan speed as a function of time, input current, and fluid composition. The model also reproduces numerous features of fan operation observed experimentally and revealed a mechanism for some observed cases of hysteresis. However, it fails to capture certain other features which lead us to conclude that phenomena which are not included in the model, e.g., sedimentation and re-suspension, are important to the clutch behavior. In addition, the results indicate that certain physical properties need to be measured over a larger temperature range in order for the model to better predict the clutch behavior.

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