Mathematical modeling of hot carbonated waterflooding as an enhanced oil recovery technique

2019 ◽  
Vol 115 ◽  
pp. 181-195 ◽  
Author(s):  
Tamires A. Marotto ◽  
Adolfo P. Pires
Keyword(s):  
Mathematical Modeling ◽  
Enhanced Oil Recovery ◽  
Oil Recovery ◽  
Recovery Technique

scholarly journals Implications of hot chemical–thermal enhanced oil recovery technique after water flooding in shale reservoirs

2020 ◽  
Vol 6 ◽  
pp. 3088-3093
Author(s):  
Guangli Fan ◽  
Jin Xu ◽  
Meng Li ◽  
Tao Wei ◽  
Seyed Mohammad Mehdi Nassabeh
Keyword(s):  
Enhanced Oil Recovery ◽  
Oil Recovery ◽  
Water Flooding ◽  
Recovery Technique ◽  
Shale Reservoirs

scholarly journals An enhanced oil recovery technique by targeted delivery ASP flooding

2018 ◽  
Vol 45 (2) ◽  
pp. 321-327 ◽  
Author(s):  
Fan WU ◽  
Jirui HOU ◽  
Zhiming WANG ◽  
Yunfei MA ◽  
Dongying WANG
Keyword(s):  
Enhanced Oil Recovery ◽  
Oil Recovery ◽  
Targeted Delivery ◽  
Asp Flooding ◽  
Recovery Technique

Non-Simulation Enhanced Oil Recovery Technique Screening in X and Y Fields Using a Combination of Analytical Hierarchy Process and Technique for Order of Preference by Similarity to Ideal Solution

2021 ◽  
Author(s):  
Sunni Nugraha Priadi ◽  
Hadi Ismoyo ◽  
Alexandra Sinta Wahjudewanti
Keyword(s):  
Decision Making ◽  
Enhanced Oil Recovery ◽  
Oil Recovery ◽  
Technology Implementation ◽  
Oil Production ◽  
Simulation Method ◽  
Multi Criteria Decision Making ◽  
Initial Stage ◽  
Recovery Technique ◽  
Decision Making Model

Abstract The X and Y fields are among the oil fields in the Java basin, Indonesia. As oil production decreases due to exploitation activities in X and Y fields, it is necessary to carry out activities to increase production. To increase the yield of its oil production, Enhanced Oil Recovery (EOR) technology is needed. Enhanced oil recovery (EOR) technique screening analysis is needed to be carried out at the initial stage of the feasibility study in the EOR project. At present, there is no fully established method for identifying potential candidates for the EOR technique. The most common approach for selecting EOR techniques is conventional filtering, which is generally based on the "go-no go" trial and error, with a reduced chance of success. Besides, determining potential candidates for EOR techniques often uses a reservoirsimulation approach, but this is time-consuming and requires high costs in using the software license. EOR technique screening with a method that explains how to form a multi-criteria decision-making model with a combination of AHP and TOPSIS methods together as a systematic and measurable method to get the best EOR techniques in both X and Y fields. The research results found that the CO2Immiscible Technique was the most appropriate for EOR in fields X and Y because it has the highest preference value (0.676), is then followed by the Micellar technique (preference value 0.645) and HC Immiscible (preference value 0.517). With the multi-criteria decision-making technique, the best EOR technique results are obtained. Then the proposal can provide valuable recommendations for company management in both fields X and Y with a faster, accurate, and inexpensive method compared to the reservoir simulation method, which has a longer processing time and more expensive costs. This technique can support technology implementation decision-making in the early stages of EOR project development.

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