Perforating Strategy for Stimulating Viscous Oil Wells for Both Cyclic Steam Stimulation and Steam Flooding Optimizing Using Perforation Laboratory - A Case Study From Kuwait Oil Company

Author(s):  
M. R. Aly Hussein ◽  
A. A. Zeidan ◽  
K. Ahmed ◽  
Y. H. Al-Mula ◽  
W. K. Al-Khamees ◽  
...  
2011 ◽  
Author(s):  
Eldias Anjar Perdana Putra ◽  
Yusni Aditiah Rachman ◽  
Tri Firmanto ◽  
Robbie Arsyadanie ◽  
Gama Hafizh

2020 ◽  
Vol 9 (2) ◽  
pp. 80-87
Author(s):  
Ahmad Muraji Suranto ◽  
Boni Swadesi ◽  
Indah Widyaningsih ◽  
Ratna Widyaningsih ◽  
Sri Wahyu Murni ◽  
...  

Steam injection can be success in increasing oil recovery by determining the steam chamber growth. It will impact on the steam distribution and steam performance in covering hot areas in the reservoir.  An injection plan and a proper cyclic steam stimulation (CSS) schedule are critical in predicting how steam chamber can grow and cover the heat area. A reservoir simulation model will be used to understand how CSS really impact in steam chamber generation and affect the oil recovery. This paper generates numerous scenarios to see how steam working in heavy oil system particularly in unconsolidated sand reservoir. Combine the CSS method and steam injection continue investigate in this research. We will validate the scenarios based on the how fast steam chest can grow and get maximum oil recovery. Reservoir simulation resulted how steam chest behavior in unconsolidated sand to improve oil recovery; It concluded that by combining CSS and Steam Injection, we may get a faster steam chest growth and higher oil recovery by 61.5% of heavy oil system.


2021 ◽  
Vol 11 (4) ◽  
pp. 1993-2007
Author(s):  
George Basta ◽  
Mahmoud Abu El Ela ◽  
Ahmed El-Banbi ◽  
Sayed El-Tayeb ◽  
Saad El-Din Mohamed Desouky ◽  
...  

AbstractPrediction of the performance of oil wells under Cyclic Steam Stimulation (CSS) is challenging in complex and heterogeneous reservoirs, especially with limited data. Analytical and numerical simulation models do not usually give accurate predictions in such conditions. In this work, a semi-analytical model was developed to determine consistent mathematical relationships between the injected steam and some of the effective oil production parameters for more accurate prediction of oil production rates. Field investigation indicates that the change of the Cumulative Oil to Steam Ratio (COSR) to production days is related to a group of effective oil production parameters. This group of parameters includes the cumulative injected steam relative to the drainage volume, the oil net pay thickness relative to the gross pay thickness, and the vertical permeability relative to the thermal diffusivity. These parameters were arranged in two dimensionless groups. It was found that plotting these two dimensionless groups on Log–Log scale for any reservoir yields a straight line (correlation). For any reservoir under CSS, measurements of two steam cycles are sufficient to identify the constants of the proposed correlation. This method has been applied and validated on six reservoirs with different reservoir characterizations. Six different wells with a total of 43 steam cycles from these reservoirs were analyzed with the same approach. The mathematical relationships of the dimensionless groups were calculated, and the Log–Log plot was constructed for each well using the data of the first two cycles. Then, the proposed correlation was developed for each well and used to predict the well performance starting from the third steam cycle. At the end, the predicted performance of each well was compared with the corresponding actual measurements. The results showed that the average absolute percentage deviation between the actual and the predicted cumulative oil production through the well lifetime is less than 5% for the six wells. In addition, the absolute instantaneous deviation between the actual and the predicted cumulative oil production for each individual cycle in all cases is (1) less than 15% for about 42% of the tested CSS cycles, (2) between 15 to 25% for about 39% of the tested CSS cycles, and (3) higher than 25% for about 19% of the tested CSS cycles. This work is considered an original contribution to develop dimensionless relationships that can be used to predict the oil production of the CSS operations for reservoirs with limited data. The required data are the historical production rate, steam injection rate, and basic petrophysical parameters.


2019 ◽  
Vol 42 (3) ◽  
pp. 115-118
Author(s):  
Amanda Efa D ◽  
Ronaldo H.T. ◽  
Wijoyo N.D. ◽  
Steven Chandra ◽  
Prasandi AA

Major oil fi elds in Indonesia have been experiencing massive decline in production, accompanied by excessive sand production that is not benefi cial to the integrity of the production system. Sand production has been known to increase the potential of corrosion, reducing lifetime of well equipment, and also known to shut in wells completely due to sand buildup in wellbore. Progressive Cavity Pump has been proposed as a solution to withstand these complications, due to its nature that can handle many types of fl uids and even produced solid. The idea is then tested to a mature Alabaster fi eld where the majority of the wells have been shut in due to excessive sand problem and low productivity. It is worth nothing that after installing the PCP, production modeling indicates possibility of sustaining production through the application of PCP, where the production increases around 120 STB/ day. Although PCP has proven its effectiveness, it is important to note that auxiliary sand mitigation techniques is required to maintain facilities integrity after several years of production.


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