Review
Energy & Fuels
Tuo Liang, Ji-Rui Hou, Ming Qu, Jia-Xin Xi, Infant Raj
Summary: This review focuses on the application of nanofluids in enhanced oil recovery, discussing the preparation methods of amphiphilic nanoparticles and the stability of nanofluids. The mechanisms of nanofluids in improving oil recovery are summarized, and the synergistic effects of nanofluids with traditional surfactants and polymers are explored. The challenges and prospects of nanofluids are outlined as well.
Article
Multidisciplinary Sciences
Rakesh Kumar Pandey, Asghar Gandomkar, Behzad Vaferi, Anil Kumar, Farshid Torabi
Summary: This study aims to construct a deep learning-based classifier to select the best enhanced oil recovery (EOR) method based on the reservoir's rock and fluid properties. The proposed classifier is developed and tested on 735 EOR projects in different reservoir types and countries, demonstrating reliable performance in screening and selecting the most suitable EOR scenario with high accuracy.
SCIENTIFIC REPORTS
(2023)
Article
Energy & Fuels
Hiroki Inoue, Ronald Nguele, Nchimi Nono Katia, Kyuro Sasaki
Summary: The study demonstrates that the inclusion of NCP in formation brine can enhance oil recovery in heavy oil formations, with an increase in recovery rate of up to 14.1% when the NCP load is increased from 0.25 to 1 wt.%. Furthermore, by incorporating a surfactant (PVA), the oil recovery rate can reach 18.3%, which is 4% higher than using PVA alone.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY
(2021)
Article
Chemistry, Multidisciplinary
Cristina Gallego, Alba Somoza, Hector Rodriguez, Ana Soto
Summary: The study proposed a method to prepare eutectic solvents based on surfactants and polymers for enhanced oil recovery. The most promising combination was found to be AOT + PEG-600, which exhibited good thermal stability and interfacial tension at a 40:60 molar ratio. Core-holder experiments showed an encouraging 34% additional oil recovery with the optimized formulation at room temperature.
APPLIED SCIENCES-BASEL
(2021)
Article
Energy & Fuels
Feng Liu, Jiawei Shen, Ping Yue, Rongjun Zhang, Qingli Wang, Gaoming Yu, Jiangtang Zhou, Xiukun Wang
Summary: Carbon neutrality is a long-term development strategy for many countries worldwide. The widespread implementation of carbon capture, utilization, and storage (CCUS) is critical for achieving this goal. This study analyzes the CO2 storage in ultralow permeability reservoirs through experiments and numerical simulations, identifying the main influencing factors and mechanisms.
Review
Engineering, Chemical
Jinjian Hou, Jinze Du, Hong Sui, Lingyu Sun
Summary: This review explores the application and mechanisms of nanofluids in enhanced oil recovery, including nanoparticle adsorption effects, changes in mineral wettability and oil/water interfacial tension, and viscosity reduction. The study investigates the behavior and mechanisms of nanofluids in enhanced oil recovery through heavy oil molecules/particle/surface micromechanics, multiscale multiphase experiments, and simulations.
FRONTIERS OF CHEMICAL SCIENCE AND ENGINEERING
(2022)
Article
Energy & Fuels
Iman Nowrouzi, Amir H. Mohammadi, Abbas Khaksar Manshad
Summary: This research investigates the use of a natural polymer derived from Plantago ovata seeds as a method of enhanced oil recovery (EOR). The findings demonstrate that P. ovata mucilage (POM) can effectively enhance oil recovery when combined with smart water, showcasing its potential as a natural alternative for EOR processes.
Article
Polymer Science
Agatha Densy dos Santos Francisco, Daniel Grasseschi, Regina Sandra Veiga Nascimento
Summary: The study synthesized TMC and TMC-C14 and evaluated their performance in altering rock wettability and promoting oil displacement through a series of experiments. The results showed that TMC performed better in changing wettability and promoting oil displacement.
JOURNAL OF APPLIED POLYMER SCIENCE
(2021)
Article
Energy & Fuels
Yasaman Cheraghi, Shahin Kord, Vahid Mashayekhizadeh
Summary: This paper presents a step-by-step procedure of applying Machine Learning in Enhanced Oil Recovery (EOR) screening, focusing on developing models for predicting suitable EOR methods for a candidate reservoir. Results show that Random Forest (RF) and deep Artificial Neural Networks (ANN) models performed the best, while Naive Bayes (NB) classifier had the weakest performance. The importance of cross-checking ML results with other EOR screening approaches or expert's knowledge is emphasized to improve reliability.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2021)
Article
Energy & Fuels
Mehdi Mahdaviara, Menad Nait Amar, Abdolhossein Hemmati-Sarapardeh, Zhenxue Dai, Changsong Zhang, Ting Xiao, Xiaoying Zhang
Summary: This paper utilizes artificial intelligence and neural networks for numerical investigation to predict the solubility of CO2 in live and dead oils, showing that the proposed models perform well and outperform previous methods.
Article
Chemistry, Physical
Firdavs Aliev, Temurali Kholmurodov, Oybek Mirzayev, Arash Tajik, Nurali Mukhamadiev, Olga Slavkina, Nuriya Nourgalieva, Alexey Vakhin
Summary: This paper discusses the synthesis of sodium-coated magnetite (Fe3O4) particles for in-situ hydrogenation of CO2 in reservoirs. The catalyst's performance was tested in upgrading heavy oil under reservoir conditions. The results showed a significant reduction in viscosity and changes in the composition of the upgraded oil, indicating the promising potential of Na-Fe3O4 for in-situ heavy oil upgrading and greenhouse gas reduction.
Article
Energy & Fuels
Moussa Taleb, Farad Sagala, Afif Hethnawi, Nashaat N. Nassar
Summary: This study successfully synthesized novel and stable faujasite nanoparticles without the need for surface modifications under low-salinity water, effectively changing the rock wettability from strong oil wet to strong water wet, and demonstrated their effectiveness as EOR agents in carbonate cores.
Article
Engineering, Chemical
Chao Chen, Hao Xu, Lidong Zhang, Xiaohui Li, Xiaosong Zhou, Qian Li, Peng Wang, Meng Li, Yuxing Qiu, Xiao Zhang, Sisi Liu, Gang He, Huabin Li
Summary: This study investigates the viscosity reduction in heavy oil caused by foaming agents in order to improve the recovery efficiency. Among the studied foam systems, the KX-048 foaming agent exhibits the best performance in reducing oil viscosity and foaming characteristics.
Article
Energy & Fuels
Akram Al-Asadi, Alba Somoza, Alberto Arce, Eva Rodil, Ana Soto
Summary: This research investigates the combination of nanoparticles (Al2O3) and surface-active ionic liquid (C12py)Cl for enhanced oil recovery. The addition of nanoparticles and stabilizer PVP increases the viscosity and reduces the interfacial tension of the foam system. The nanofluid formulation shows potential for application in brine and can alter the wettability of carbonate rocks.
Article
Energy & Fuels
Ming Qu, Tuo Liang, Jirui Hou, Zhichang Liu, Erlong Yang, Xingquan Liu
Summary: Spherical nanoparticles have been widely studied for enhanced oil recovery, but there is a lack of research on nanosheets. In this study, amphiphilic molybdenum disulfide nanosheets were synthesized and shown to have significant effects on solid surface wettability and emulsion stability at ultra-low concentrations.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Petroleum
Madhar Sahib Azad, Japan J. Trivedi
Summary: Since the introduction of viscous/capillary concepts by Moore and Slobod (1956), modifications have been made to capillary number (N-c) for better correlation with residual oil saturation (S-or) during enhanced oil recovery (EOR). A new extensional capillary number (N-ce) is developed to predict S-or during polymer flooding, showing better accuracy compared to conventional N-c, Deborah number (De), and recent correlations. Results suggest that N-ce can effectively predict S-or under various operational and petrophysical conditions, including salinity effects.
Article
Polymer Science
Viralkumar Patel, Yogeshkumar Dalsania, Madhar Sahib Azad, Tushar Sharma, Japan Trivedi
Summary: The structural changes of hydrolyzed PAM under different saline conditions significantly affect rheological properties, with extensional rheology providing a better description than shear rheology. The interactions between polymer chains and cations lead to the formation of cross-linked structures, impacting the molecular weight distribution and radius of gyration. Different types of polymers display distinct microstructures and rheological behaviors based on their interactions with divalent and monovalent cations.
JOURNAL OF APPLIED POLYMER SCIENCE
(2021)
Article
Energy & Fuels
Zhongwei Wu, Chuanzhi Cui, Yinzhu Ye, Xiangzhi Cheng, Japan Trivedi
Summary: This paper establishes a model based on fractal theory to quantitatively evaluate the effects of spontaneous imbibition (SI) and displacement on the development of tight reservoirs. It reveals that reservoir properties have a significant impact on the imbibition time, and the effect of SI becomes more substantial when water viscosity decreases. Moreover, the contact angle, interfacial tension force, and displacement pressure difference also play a crucial role in influencing the effect of SI on the recovery of tight reservoirs.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2021)
Article
Energy & Fuels
Z. Zhang, Madhar Sahib Azad, J. J. Trivedi
Summary: This study addresses research gaps in understanding the dominant recovery mechanisms during surfactant flooding in unconventional, oil-wet reservoirs by investigating physico-chemical interactions and microfluidic studies using zwitterionic surfactant solutions. The observations show that significant IFT reduction and wettability alteration are both crucial for successful oil displacement in water-wet media during surfactant flooding in oil-wet formations.
Article
Energy & Fuels
J. L. Guevara, Rajan Patel, Japan Trivedi
Summary: Conventional steam injection strategies in SAGD are often empirically found rather than through a formal optimization process. Reinforcement learning offers an alternative approach to optimize steam injection policies by training an agent to continuously interact with the reservoir simulation model. In this study, the RL-SARSA algorithm is used to find the optimal steam injection policy and provide insights into the physics of the SAGD process.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2021)
Article
Energy & Fuels
Najmudeen Sibaweihi, Rajan G. Patel, Jose L. Guevara, Ian D. Gates, Japan J. Trivedi
Summary: A proactive steam allocation workflow that prioritizes steam allocation from low performing wells to high performing wells is proposed in this study. Data-driven predictive modeling is used for short-term forecasting of key performance indicators in real-time, leading to optimal steam allocation and increased net present value.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2021)
Article
Energy & Fuels
A. Almeida da Costa, J. Mateo, R. Patel, J. J. Trivedi, J. B. P. Soares, P. S. Rocha, G. Costa, M. Embirucu
Summary: Low salinity water injection (LSWI) has been investigated as an enhanced oil recovery method in sandstone reservoirs in Brazil. The study found that LSWI led to increased oil recovery, Ca++ desorption from the rock surface, and a substantial pH increase in the effluent. Zeta potential measurements showed that a thicker water film was formed on the rock and oil surface with brine dilution during LSWI. The study identified key parameters such as Na+ and Ca++ concentration, and water injection rate as important factors in the LSWI process.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2021)
Article
Engineering, Chemical
Ankit Doda, Madhar Sahib Azad, Yohei Kotsuchibashi, Japan J. Trivedi, Ravin Narain
Summary: This study compares the rheological properties of different polymers in alkali-polymer flooding operations and finds that the newly synthesized P(AA-co-VP) copolymer shows improved performance in the presence of strong alkali, leading to better heavy oil recovery and transport.
CANADIAN JOURNAL OF CHEMICAL ENGINEERING
(2022)
Article
Energy & Fuels
Benedicta N. Nwani, Madhar Sahib Azad, Japan Trivedi
Summary: Smart water flooding combined with surfactants can provide favorable interfacial tension reduction and wettability alteration for enhanced oil recovery in low-permeable, mixed/oil-wet carbonate reservoirs. The impact of different surfactant solutions prepared in various brines on fluid-rock and fluid-fluid interactions has been studied, revealing significant effects at specific brine concentrations.
Article
Chemistry, Physical
Amir Narimani, Farid Kordnejad, Prabhjyot Kaur, Japan Trivedi, Ferhi Najmeddine, Mahmood Hemmati, Adam Duong
Summary: The aim of this study was to evaluate the influence of graphene oxide (GO) on the structure of copolymer nanocomposite hydrogel based on acrylamide (AM) and 2-acryloamido-2-methylpropane sulfonic acid (AMPS). The study found that the copolymer nanocomposite hydrogel improved the rheological and mechanical properties of the cement slurry, reduced free water and fluid loss at high temperatures, shortened the thickening time, and increased compressive strength.
JOURNAL OF DISPERSION SCIENCE AND TECHNOLOGY
(2023)
Article
Energy & Fuels
Krishna Raghav Chaturvedi, Sushant Bajpai, Japan Trivedi, Tushar Sharma
Summary: This study investigates the feasibility of using surfactant foams to enhance hydrogen storage in porous media, which is crucial for the future hydrogen-based economy. By controlling factors such as slug size and gas flow rate, significant improvement in hydrogen storage is achieved, offering a new approach for subsurface hydrogen storage.
Article
Polymer Science
Viralkumar Patel, Japan Trivedi, Tushar Sharma
Summary: This study characterized water-soluble associative polymers with varying hydrophobicity and found that intramolecular and intermolecular hydrophobic associations were responsible for polymer shrinkage and aggregation, respectively. The shear behavior of the polymers was similar, but higher shear viscosities were observed in the semi-dilute regime due to intermolecular hydrophobic associations. These associations also contributed to broader molecular weight distribution and higher relaxation time and extensional viscosity. The hydrophobicity affected the strain hardening behavior and the relaxation time and extensional viscosity of the polymers.
Article
Energy & Fuels
Xin Chen, Yiqiang Li, Zheyu Liu, Japan Trivedi, Yongqiang Tang, Mingyue Sui
Summary: This study used a microfluidic model combined with experimental evaluations to analyze the invasion patterns, displacement process, and improvement methods of immiscible fluids in porous media. The results showed that the invasion process can be divided into different modes, and the importance of influencing factors follows the order of viscosity ratio > wettability > injection rate > interfacial tension.
Article
Energy & Fuels
Xin Chen, Yiqiang Li, Zheyu Liu, Jian Zhang, Japan Trivedi, Xianjie Li
Summary: This paper focuses on the migration process and flow resistance prediction of elastic particles in porous media, establishing a migration and plugging model based on the Hertzian contact theory. Experimental results demonstrate that elastic particles form a filter cake within 3 cm of the injection end of the core, with a three-stage Gathered and Energized transport mode. The model can predict injection pressure with high consistency and provides a new method for studying elastic particle migration in porous media.
Article
Energy & Fuels
Zhong-Wei Wu, Chuan-Zhi Cui, Yin-Zhu Ye, Xiang-Zhi Cheng, Japan Trivedi, Shui-Qing-Shan Lu, Yin Qian
Summary: This study proposes a new model for investigating the proppant equilibrium height in hydraulic fractures for slickwater treatments. The comparison and sensitivity analysis confirm the validity of the proposed model. The proppant equilibrium height is influenced by the proppant density, injection rate, and diameter, affecting the friction factor and settling rates.