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Zhao X, Liao Z, Liu T, Cheng W, Gao G, Yang M, Ma T, Li G. Investigation of the transport and metabolic patterns of oil-displacing bacterium FY-07-G in the microcosm model using X-CT technology. J Appl Microbiol 2023; 134:lxad281. [PMID: 38059862 DOI: 10.1093/jambio/lxad281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 11/13/2023] [Accepted: 12/05/2023] [Indexed: 12/08/2023]
Abstract
AIMS Microbial enhanced oil recovery (MEOR) is dedicated to enhancing oil recovery by harnessing microbial metabolic activities and their byproducts within reservoir rocks and fluids. Therefore, the investigation of microbial mobility and their extensive distribution within crude oil is of paramount importance in MEOR. While microscale models have been valuable for studying bacterial strain behavior in reservoirs, they are typically limited to 2D representations of porous media, making them inadequate for simulating actual reservoir conditions. Consequently, there is a critical need for 3D models and dependable visualization methods to observe bacterial transport and metabolism within these complex reservoir environments. METHODS AND RESULTS Bacterial cellulose (bc) is a water-insoluble polysaccharide produced by bacteria that exhibits biocompatibility and biodegradability. It holds significant potential for applications in the field of MEOR as an effective means for selective plugging and spill prevention during oil displacement processes. Conditionally cellulose-producing strain, FY-07-G, with green fluorescent labeling, was engineered for enhanced oil recovery. 3D micro-visualization model was constructed to directly observe the metabolic activities of the target bacterial strain within porous media and to assess the plugging interactions between cellulose and the medium. Additionally, X-ray computed tomography (X-CT) technology was employed for a comprehensive analysis of the transport patterns of the target strain in oil reservoirs with varying permeabilities. The results indicated that FY-07-G, as a microorganism employing biopolymer-based plugging principles to enhance oil recovery, selectively targets and seals regions characterized by lower permeability and smaller pore spaces. CONCLUSIONS This work provided valuable insights into the transport and metabolic behavior of MEOR strains and tackled the limitation of 2D models in faithfully replicating oil reservoir conditions, offering essential theoretical guidance and insights for the further application of oil-displacing bacterial strains in MEOR processes.
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Affiliation(s)
- Xueqing Zhao
- Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, College of Life Sciences, Nankai University, Tianjin 300071, China
| | - Zitong Liao
- Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, College of Life Sciences, Nankai University, Tianjin 300071, China
| | - Tongtong Liu
- Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, College of Life Sciences, Nankai University, Tianjin 300071, China
| | - Wei Cheng
- Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, College of Life Sciences, Nankai University, Tianjin 300071, China
| | - Ge Gao
- Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, College of Life Sciences, Nankai University, Tianjin 300071, China
| | - Mingbo Yang
- Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, College of Life Sciences, Nankai University, Tianjin 300071, China
| | - Ting Ma
- Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, College of Life Sciences, Nankai University, Tianjin 300071, China
- Tianjin Engineering Technology Center of Green Manufacturing Biobased Materials,College of Life Sciences, Nankai University, Tianjin 300071, China
| | - Guoqiang Li
- Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, College of Life Sciences, Nankai University, Tianjin 300071, China
- Tianjin Engineering Technology Center of Green Manufacturing Biobased Materials,College of Life Sciences, Nankai University, Tianjin 300071, China
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Murtaza M, Khan I, Muther T, Syed FI, Hunain MF, Shakir M, Aziz H, Khan B, Siddiqui MA, Fasih M, Yousif A. Lab-scale testing and evaluation of microbes' ability to reduce oil viscosity. CHEMICAL PAPERS 2022. [DOI: 10.1007/s11696-022-02581-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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3
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Yao C, Meng X, Qu X, Cheng T, Da Q, Zhang K, Lei G. Kinetic Model and Numerical Simulation of Microbial Growth, Migration, and Oil Displacement in Reservoir Porous Media. ACS OMEGA 2022; 7:32549-32561. [PMID: 36120076 PMCID: PMC9476514 DOI: 10.1021/acsomega.2c04120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 08/23/2022] [Indexed: 06/15/2023]
Abstract
Microbial enhanced oil recovery (MEOR) is a potential tertiary oil recovery method. However, past research has failed to describe microbial growth and metabolism reasonably, especially quantification of reaction equations and operating parameters is still not clear. The present study investigated the ability of bacteria extracted from Ansai Oilfield for MEOR. Through core flooding experiments, bacteria-treated experiments produced approximately 6.28-9.81% higher oil recovery than control experiments. Then, the microbial reaction kinetic model was established based on laboratory experimental data and mass conservation. Furthermore, the proposed model was validated by matching core flooding experiment results. Lastly, the effects of different injection parameters on bacteria growth, bacteria migration, metabolite migration, residual oil distribution, and oil recovery were studied by establishing a field-scale model. The results indicate that the injected bacteria concentration and nutrient concentration have a great influence on bacteria growth in a reservoir and the low nutrient concentration seriously restricts bacteria growth. Compared with the injected bacteria concentration, nutrient concentration has a decisive effect on bacteria and metabolite migration. The injected bacteria concentration has little effect on oil recovery, while nutrient concentration and slug volume have a significant effect on oil recovery.
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Affiliation(s)
- Chuanjin Yao
- Key
Laboratory of Unconventional Oil & Gas Development (China University
of Petroleum (East China)), Ministry of
Education, Qingdao 266580, P. R. China
- School
of Petroleum Engineering, China University
of Petroleum (East China), Qingdao 266580, P. R. China
- Shandong
Provincial Key Laboratory of Oilfield Chemistry, China University of Petroleum (East China), Qingdao 266580, P. R. China
| | - Xiangxiang Meng
- Key
Laboratory of Unconventional Oil & Gas Development (China University
of Petroleum (East China)), Ministry of
Education, Qingdao 266580, P. R. China
- School
of Petroleum Engineering, China University
of Petroleum (East China), Qingdao 266580, P. R. China
| | - Xiaohuan Qu
- Key
Laboratory of Unconventional Oil & Gas Development (China University
of Petroleum (East China)), Ministry of
Education, Qingdao 266580, P. R. China
- School
of Petroleum Engineering, China University
of Petroleum (East China), Qingdao 266580, P. R. China
| | - Tianxiang Cheng
- Key
Laboratory of Unconventional Oil & Gas Development (China University
of Petroleum (East China)), Ministry of
Education, Qingdao 266580, P. R. China
- School
of Petroleum Engineering, China University
of Petroleum (East China), Qingdao 266580, P. R. China
| | - Qi’an Da
- Key
Laboratory of Unconventional Oil & Gas Development (China University
of Petroleum (East China)), Ministry of
Education, Qingdao 266580, P. R. China
- School
of Petroleum Engineering, China University
of Petroleum (East China), Qingdao 266580, P. R. China
| | - Kai Zhang
- Key
Laboratory of Unconventional Oil & Gas Development (China University
of Petroleum (East China)), Ministry of
Education, Qingdao 266580, P. R. China
- School
of Petroleum Engineering, China University
of Petroleum (East China), Qingdao 266580, P. R. China
| | - Guanglun Lei
- Key
Laboratory of Unconventional Oil & Gas Development (China University
of Petroleum (East China)), Ministry of
Education, Qingdao 266580, P. R. China
- School
of Petroleum Engineering, China University
of Petroleum (East China), Qingdao 266580, P. R. China
- Shandong
Provincial Key Laboratory of Oilfield Chemistry, China University of Petroleum (East China), Qingdao 266580, P. R. China
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Pavan PS, Arvind K, Nikhil B, Sivasankar P. Predicting performance of in-situ microbial enhanced oil recovery process and screening of suitable microbe-nutrient combination from limited experimental data using physics informed machine learning approach. BIORESOURCE TECHNOLOGY 2022; 351:127023. [PMID: 35307523 DOI: 10.1016/j.biortech.2022.127023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 03/14/2022] [Accepted: 03/15/2022] [Indexed: 06/14/2023]
Abstract
Screening of suitable microbe-nutrient combination and prediction of oil recovery at the initial stage is essential for the success of Microbial Enhanced Oil Recovery (MEOR) technique. However, experimental and physics-based modelling approaches are expensive and time-consuming. In this study, Physics Informed Machine Learning (PIML) framework was developed to screen and predict oil recovery at a relatively lesser time and cost with limited experimental data. The screening was done by quantifying the influence of parameters on oil recovery from correlation and feature importance studies. Results revealed that microbial kinetic, operational and reservoir parameters influenced the oil recovery by 50%, 32.6% and 17.4%, respectively. Higher oil recovery is attained by selecting a microbe-nutrient combination having a higher ratio of value between biosurfactant yield and microbial yield parameters, as they combinedly influence the oil recovery by 27%. Neural Network is the best ML model for MEOR application to predict oil recovery (R2≈0.99).
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Affiliation(s)
- P S Pavan
- Geo-Energy Modelling & Simulation Lab, Department of Petroleum Engineering & Earth Sciences, Indian Institute of Petroleum & Energy (IIPE), Visakhapatnam 530003, India
| | - K Arvind
- Department of Mechanical, Chemical and Electronics Engineering, OsloMet University, Oslo, Norway
| | - B Nikhil
- Department of Mechanical, Chemical and Electronics Engineering, OsloMet University, Oslo, Norway
| | - P Sivasankar
- Geo-Energy Modelling & Simulation Lab, Department of Petroleum Engineering & Earth Sciences, Indian Institute of Petroleum & Energy (IIPE), Visakhapatnam 530003, India.
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Compatibility between weak gel and microorganisms in weak gel-assisted microbial enhanced oil recovery. J Biosci Bioeng 2018; 126:235-240. [PMID: 29572090 DOI: 10.1016/j.jbiosc.2018.02.011] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Revised: 12/19/2017] [Accepted: 02/15/2018] [Indexed: 11/21/2022]
Abstract
To investigate weak gel-assisted microbial flooding in Block Wang Long Zhuang in the Jiangsu Oilfield, the compatibility of weak gel and microbe was evaluated using laboratory experiments. Bacillus sp. W5 was isolated from the formation water in Block Wang Long Zhuang. The rate of oil degradation reached 178 mg/day, and the rate of viscosity reduction reached 75.3%. Strain W5 could produce lipopeptide with a yield of 1254 mg/L. Emulsified crude oil was dispersed in the microbial degradation system, and the average diameter of the emulsified oil particles was 18.54 μm. Bacillus sp. W5 did not affect the rheological properties of the weak gel, and the presence of the weak gel did not significantly affect bacterial reproduction (as indicated by an unchanged microbial biomass), emulsification (surface tension is 35.56 mN/m and average oil particles size is 21.38 μm), oil degradation (162 mg/day) and oil viscosity reduction (72.7%). Core-flooding experiments indicated oil recovery of 23.6% when both weak gel and Bacillus sp. W5 were injected into the system, 14.76% when only the weak gel was injected, and 9.78% with strain W5 was injected without the weak gel. The results demonstrate good compatibility between strains W5 and the weak gel and highlight the application potential of weak gel-assisted microbial flooding.
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Wu J, Wang HF, Wang XB, Yang HY, Jiang RY, Zeng RJ. Design and characterization of a microbial self-healing gel for enhanced oil recovery. RSC Adv 2017. [DOI: 10.1039/c6ra25814j] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
Due to the heterogeneity of rock layers, the poor volumetric sweep efficiency of water and an invalid cycle have emerged as major problems in crude oil production.
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Affiliation(s)
- Jun Wu
- CAS Key Laboratory for Urban Pollutant Conversion
- Department of Chemistry
- University of Science & Technology of China
- Hefei 230026
- PR China
| | - Hou-Feng Wang
- CAS Key Laboratory for Urban Pollutant Conversion
- Department of Chemistry
- University of Science & Technology of China
- Hefei 230026
- PR China
| | - Xian-Bin Wang
- CAS Key Laboratory for Urban Pollutant Conversion
- Department of Chemistry
- University of Science & Technology of China
- Hefei 230026
- PR China
| | - Hai-Yang Yang
- Department of Polymer Science and Engineering
- University of Science & Technology of China
- Hefei 230026
- PR China
| | - Ru-Yi Jiang
- PetroChina Company Limited
- Beijing 100007
- PR China
| | - Raymond J. Zeng
- CAS Key Laboratory for Urban Pollutant Conversion
- Department of Chemistry
- University of Science & Technology of China
- Hefei 230026
- PR China
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7
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Gao P, Li G, Li Y, Li Y, Tian H, Wang Y, Zhou J, Ma T. An Exogenous Surfactant-Producing Bacillus subtilis Facilitates Indigenous Microbial Enhanced Oil Recovery. Front Microbiol 2016; 7:186. [PMID: 26925051 PMCID: PMC4757698 DOI: 10.3389/fmicb.2016.00186] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2015] [Accepted: 02/03/2016] [Indexed: 12/03/2022] Open
Abstract
This study used an exogenous lipopeptide-producing Bacillus subtilis to strengthen the indigenous microbial enhanced oil recovery (IMEOR) process in a water-flooded reservoir in the laboratory. The microbial processes and driving mechanisms were investigated in terms of the changes in oil properties and the interplay between the exogenous B. subtilis and indigenous microbial populations. The exogenous B. subtilis is a lipopeptide producer, with a short growth cycle and no oil-degrading ability. The B. subtilis facilitates the IMEOR process through improving oil emulsification and accelerating microbial growth with oil as the carbon source. Microbial community studies using quantitative PCR and high-throughput sequencing revealed that the exogenous B. subtilis could live together with reservoir microbial populations, and did not exert an observable inhibitory effect on the indigenous microbial populations during nutrient stimulation. Core-flooding tests showed that the combined exogenous and indigenous microbial flooding increased oil displacement efficiency by 16.71%, compared with 7.59% in the control where only nutrients were added, demonstrating the application potential in enhanced oil recovery in water-flooded reservoirs, in particular, for reservoirs where IMEOR treatment cannot effectively improve oil recovery.
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Affiliation(s)
- Peike Gao
- Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, College of Life Sciences, Nankai University Tianjin, China
| | - Guoqiang Li
- Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, College of Life Sciences, Nankai University Tianjin, China
| | - Yanshu Li
- Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, College of Life Sciences, Nankai University Tianjin, China
| | - Yan Li
- Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, College of Life Sciences, Nankai University Tianjin, China
| | - Huimei Tian
- Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, College of Life Sciences, Nankai University Tianjin, China
| | - Yansen Wang
- Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, College of Life Sciences, Nankai University Tianjin, China
| | - Jiefang Zhou
- Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, College of Life Sciences, Nankai University Tianjin, China
| | - Ting Ma
- Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, College of Life Sciences, Nankai University Tianjin, China
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