Numerical Modeling on the Influence of Reservoir Porosity and Microbial Kinetics on Enhanced Oil Recovery by Microbial Flooding

2020 ◽  
Author(s):  
Susmit Chakraborty ◽  
Suresh Kumar Govindarajan ◽  
Sathyanarayana N. Gummadi
Keyword(s):  
Numerical Modeling ◽  
Enhanced Oil Recovery ◽  
Oil Recovery ◽  
Microbial Kinetics ◽  
Reservoir Porosity ◽  
Microbial Flooding

Critical review on the numerical modeling of in-situ microbial enhanced oil recovery processes

2019 ◽  
Vol 150 ◽  
pp. 107294 ◽  
Author(s):  
Moon Sik Jeong ◽  
Ji Ho Lee ◽  
Kun Sang Lee
Keyword(s):  
Numerical Modeling ◽  
Enhanced Oil Recovery ◽  
Oil Recovery ◽  
Critical Review ◽  
Microbial Enhanced Oil Recovery ◽  
Recovery Processes

scholarly journals Experimental study and numerical modeling for enhancing oil recovery from carbonate reservoirs by nanoparticle flooding

2019 ◽  
Vol 74 ◽  
pp. 5 ◽  
Author(s):  
Mehrdad Sepehri ◽  
Babak Moradi ◽  
Abolghasem Emamzadeh ◽  
Amir H. Mohammadi
Keyword(s):  
Numerical Modeling ◽  
Porous Media ◽  
Enhanced Oil Recovery ◽  
Oil Recovery ◽  
Recovery Process ◽  
Water Flooding ◽  
Wettability Alteration ◽  
Sensitivity Analyses ◽  
Two Phase ◽  
Fluid Properties

Nowadays, nanotechnology has become a very attractive subject in Enhanced Oil Recovery (EOR) researches. In the current study, a carbonate system has been selected and first the effects of nanoparticles on the rock and fluid properties have been experimentally investigated and then the simulation and numerical modeling of the nanofluid injection for enhanced oil recovery process have been studied. After nanofluid treatment, experimental results have shown wettability alteration. A two-phase flow mathematical model and a numerical simulator considering wettability alteration have been developed. The numerical simulation results show that wettability alteration from oil-wet to water-wet due to presence of nanoparticles can lead to 8–10% increase in recovery factor in comparison with normal water flooding. Different sensitivity analyses and injection scenarios have been considered and assessed. Using numerical modeling, wettability alteration process and formation damage caused by entrainment and entrapment of nanoparticles in porous media have been proved. Finally, the net rate of nanoparticles’ loss in porous media has been investigated.

scholarly journals Experimental study of microbial enhanced oil recovery in oil-wet fractured porous media

2020 ◽  
Vol 75 ◽  
pp. 73
Author(s):  
Amin Abolhasanzadeh ◽  
Ali Reza Khaz’ali ◽  
Rohallah Hashemi ◽  
Mohammadhadi Jazini
Keyword(s):  
Enhanced Oil Recovery ◽  
Oil Recovery ◽  
Low Cost ◽  
Fractured Reservoirs ◽  
Gas Production ◽  
Wettability Alteration ◽  
Oil Viscosity ◽  
Sweep Efficiency ◽  
The Matrix ◽  
Microbial Flooding

Without Enhanced Oil Recovery (EOR) operations, the final recovery factor of most hydrocarbon reservoirs would be limited. However, EOR can be an expensive task, especially for methods involving gas injection. On the other hand, aqueous injection in fractured reservoirs with small oil-wet or mixed-wet matrices will not be beneficial if the rock wettability is not changed effectively. In the current research, an unpracticed fabrication method was implemented to build natively oil-wet, fractured micromodels. Then, the efficiency of microbial flooding in the micromodels, as a low-cost EOR method, is investigated using a new-found bacteria, Bacillus persicus. Bacillus persicus improves the sweep efficiency via reduction of water/oil IFT and oil viscosity, in-situ gas production, and wettability alteration mechanisms. In our experiments, the microbial flooding technique extracted 65% of matrix oil, while no oil was produced from the matrix system by water or surfactant flooding.

An Evaluation of Microbial Flooding for Enhanced Oil Recovery, Fuyu Oilfield, China

2017 ◽  
Author(s):  
Wang Jinfang ◽  
Wang Zhengmao ◽  
Tian Jun ◽  
Shi Chengfang ◽  
Gao Jian
Keyword(s):  
Enhanced Oil Recovery ◽  
Oil Recovery ◽  
Microbial Flooding

scholarly journals Screening and assessing the conditions for effective oil recovery enhancing techniques application for hard to recover high-water cut reserves

2021 ◽  
pp. 48-56
Author(s):  
V. V. Mukhametshin ◽  
◽  
R. N. Bakhtizin ◽  
L. S. Kuleshova ◽  
A. P. Stabinskas ◽  
...  
Keyword(s):  
Numerical Modeling ◽  
Enhanced Oil Recovery ◽  
Oil Recovery ◽  
Oil And Gas ◽  
Chemical Properties ◽  
High Water ◽  
Recovery Techniques ◽  
High Water Cut ◽  
Water Cut ◽  
Criterion Analysis

For the conditions of deposits in Jurassic and Paleozoic terrigenous reservoirs of the Sherkalinsky trough and Shaimsky swell of Western Siberia, a criterion analysis and screening of enhanced oil recovery techniques used in the fields of the West Siberian oil and gas province were carried out. For various groups of oil fields, a set of the most effective technologies for the development of residual hard-to-recover reserves of flooded fields has been proposed. The areas for effective application of the selected techniques for deposits introduced into development within the considered tectonic-stratigraphic elements are determined. The areas determination was carried out on the basis of 19 parameters characterizing the geological-physical and physical-chemical properties of formations and fluids, as well as the maximum and minimum values of the canonical discriminant functions determined by the situational map. Based on the numerical modeling of oil recovery processes, a forecast of an increase in the final oil recovery factor was made for five facilities-field test sites of the selected groups of facilities. Keywords: hard-to-recover reserves; terrigenous reservoirs; factor analysis; enhanced oil recovery techniques; numerical modeling; criterion analysis.

scholarly journals Isolating, identifying and evaluating of oil degradation strains for the air-assisted microbial enhanced oil recovery process

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0243976
Author(s):  
Mingming Cheng ◽  
Long Yu ◽  
Jianbo Gao ◽  
Guanglun Lei ◽  
Zaiwang Zhang
Keyword(s):  
Oxygen Consumption ◽  
Dissolved Oxygen ◽  
Enhanced Oil Recovery ◽  
Oxygen Concentration ◽  
Oil Recovery ◽  
Microbial Growth ◽  
Water Flooding ◽  
Oil Degradation ◽  
Microbial Enhanced Oil Recovery ◽  
Microbial Flooding

Due to the inefficient reproduction of microorganisms in oxygen-deprived environments of the reservoir, the applications of microbial enhanced oil recovery (MEOR) are restricted. To overcome this problem, a new type of air-assisted MEOR process was investigated. Three compounding oil degradation strains were screened using biochemical experiments. Their performances in bacterial suspensions with different amounts of dissolved oxygen were evaluated. Water flooding, microbial flooding and air-assisted microbial flooding core flow experiments were carried out. Carbon distribution curve of biodegraded oil with different oxygen concentration was determined by chromatographic analysis. The long-chain alkanes are degraded by microorganisms. A simulation model was established to take into account the change in oxygen concentration in the reservoir. The results showed that the optimal dissolved oxygen concentration for microbial growth was 4.5~5.5mg/L. The main oxygen consumption in the reservoir happened in the stationary and declining phases of the microbial growth systems. In order to reduce the oxygen concentration to a safe level, the minimum radius of oxygen consumption was found to be about 145m. These results demonstrate that the air-assisted MEOR process can overcome the shortcomings of traditional microbial flooding techniques. The findings of this study can help for better understanding of microbial enhanced oil recovery and improving the efficiency of microbial oil displacement.

scholarly journals Enhanced oil recovery by nanoparticles flooding: From numerical modeling improvement to machine learning prediction

2021 ◽  
Vol 5 (3) ◽  
pp. 297-317
Author(s):  
Budoor Alwated ◽  
Mohamed F. El-Amin
Keyword(s):  
Machine Learning ◽  
Numerical Modeling ◽  
Enhanced Oil Recovery ◽  
Oil Recovery
Sign in / Sign up

Export Citation Format

Share Document