Article
Chemistry, Multidisciplinary
Huan Yang, Kevin Jayaatmaja, Morteza Dejam, Sugata P. Tan, Hertanto Adidharma
Summary: For the first time, the phase transition and criticality of methane confined in nanoporous media were measured and successfully predicted using an experimental setup and a self-consistent equation of state.
Article
Engineering, Chemical
Yilei Song, Zhaojie Song, Jia Guo, Dong Feng, Xuya Chang
Summary: This study aims to develop a general framework of a theoretical algorithm and model to study the phase behavior and miscibility of CO2-hydrocarbon mixtures in shale formations, by proposing an improved vapor-liquid equilibrium calculation model that incorporates capillary pressure and an adsorption-dependent equation of state. Additionally, a novel vanishing interfacial tension algorithm is introduced to calculate the minimum miscibility pressure (MMP) of the CO2-Bakken oil system in bulk and nanopores by considering fluid adsorption and critical property shifts in nature. The results show that the reduction of pore size leads to a decrease in MMP, which is beneficial for CO2-EOR.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2021)
Article
Engineering, Chemical
Fei Fang, Jinglian Gu, Xinqiang You
Summary: The improved model developed for calculating physical properties and phase behavior of confined fluids, specifically in shale reservoirs, considers adsorption film theory and the SWCF-VR equation of state for greater accuracy. The study predicts and analyzes the physical properties of pure component hydrocarbons, mixture hydrocarbons, and real Bakken oils in nanopores, showing significant differences in properties between confined fluids and bulk-phase fluids due to confinement and the presence of adsorption film. These results emphasize the importance of accurately calculating the properties and phase behaviors of confined fluids and underlie the necessity of considering adsorption film theory.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2021)
Article
Energy & Fuels
Jinrong Cao, Yunfeng Liang, Yoshihiro Masuda, Kohei Tamura, Tomoaki Ishiwata, Satoshi Ohtsuki, Yoshiharu Ito, Toshifumi Matsuoka
Summary: A recent study has investigated the selectivity and phase behavior of CH4/n-C4H10 binary mixtures in graphite nanopores. The results show high selectivity at low pressures and nanopore-induced capillary condensation. The phase diagram of the mixture in the nanopores is narrower compared to that of the bulk system.
Article
Energy & Fuels
Hao Sun, Huazhou Li
Summary: This study developed an improved MMP calculation algorithm and investigated the effects of temperature and pore radius on confined oil-CO2 MMP based on experiments with a real crude oil sample. Results showed that the confined MMP decreased with decreasing pore size and exhibited a non-linear relationship with pore radius, with a maximum confined MMP decreasing as pore radius decreases.
Article
Engineering, Chemical
Yilei Song, Zhaojie Song, Zhuoya Zhang, Xuya Chang, Daigang Wang, Gang Hui
Summary: This study proposes a new method for describing the adsorption and phase behavior of gas-water mixtures using molecular dynamics simulation, establishes the GWA-PR-EOS equation, and develops a two-phase behavior calculation model. Under nanopore confinement, gas phase molecules tend to move into the aqueous phase, and the effect of confinement on mutual solubility varies under different conditions.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2022)
Article
Energy & Fuels
Jingang Fu, Yuliang Su, Zhangxing Chen, Lei Li, Wendong Wang, Shiyuan Zhan
Summary: This study proposed a novel model to reveal the distribution of water film confined inside circular or elliptic pores in shale, considering disjoining pressure, interfacial tension, and real gas effect. The phenomena of capillary condensation and partial condensation were observed, and the model was verified by comparing with previous data.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Chemistry, Physical
Wei Xiong, Yu-Long Zhao, Jian-Hua Qin, Shi-Lin Huang, Lie-Hui Zhang
Summary: This study extends the conventional CPA EoS model to propose the mCPA/Laplace model for describing the phase behavior of non-associating and associating fluids in nanopores, with good agreement with experimental data.
JOURNAL OF SUPERCRITICAL FLUIDS
(2021)
Review
Engineering, Chemical
Hertanto Adidharma, Sugata P. Tan
Summary: This paper reviews the vapor-liquid phase transitions of confined fluids and discusses recent experimental findings that have implications on modeling. Various experimental methods for investigating these phase transitions are also discussed. Engineering equations of state are the most attractive models, although further work is needed to validate these models.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2022)
Article
Energy & Fuels
Wei Zhang, Qihong Feng, Sen Wang, Xiangdong Xing, Zhehui Jin
Summary: The study shows that CO2 forms a thin film in calcite nanopores, and only after the CO2 adsorption layer is fully saturated, can it mix with nC8 to reduce viscosity and increase total flow rate.
Article
Engineering, Chemical
Xiaohu Dong, Qilan Luo, Jing Wang, Huiqing Liu, Zhangxin Chen, Jinze Xu
Summary: This article proposes a new method to quantitatively evaluate the effect of pore heterogeneity on the adsorption behavior of fluids in nanopores. The proposed method is validated against experimental data of shale rocks.
Article
Mechanics
Saad Alafnan
Summary: Natural gas stored in source rocks plays a significant role in meeting energy demand. Source rocks exhibit complex transport and storage processes due to their unique pore characteristics. Nanopores in source rocks offer large surface area for hydrocarbon storage. However, our understanding of the mechanisms behind hydrocarbon storage and transport is still limited. This study investigates the dominant diffusion mechanism in representative organic nanopores and finds that free molecular diffusion is the main mechanism. Additionally, the diffusivity coefficients deviate from theoretically calculated values, especially in post-mature cases. The deviation reduces with increasing pressure and pore size. The results provide valuable insights for better describing hydrocarbon transport in source rocks.
Article
Energy & Fuels
Ran Li, Zhangxin Chen, Keliu Wu, Jinze Xu
Summary: Gas flow properties in nanopores are influenced by flow patterns, and slug flow pattern is a potential water-gas two phase flow pattern. The impact of water bridge on gas flow capacity is estimated using a foam apparent viscosity model. Comparison with other flow models suggests that gas molecular movement is hindered by flow space reduction and loss of gas slippage. Understanding the structure and transport of water and gas molecules is crucial for predicting shale gas production.
Article
Physics, Fluids & Plasmas
Martin Pospisil, Alexandr Malijevsky
Summary: The geometry of narrow pores can affect the phase behavior of confined fluid. This study investigates the condensation in nanopores with sinusoidally shaped walls and proposes geometric arguments to describe the phase transitions. The presence of wetting layers significantly shifts the phase boundaries, and mesoscopic corrections are proposed to account for this. The predictions are in good agreement with density-functional theory.
Article
Engineering, Environmental
Linyang Zhang, Xinran Yu, Zhangxin Chen, Jing Li, Gang Hui, Min Yang, Rui Yu
Summary: The study investigates the capillary dynamics of confined water in nanopores and proposes a model which considers increased viscosity near solid walls and fluid loss into precursor films. Experimental results show that these factors play a key role in the imbibition behavior.
CHEMICAL ENGINEERING JOURNAL
(2021)
Article
Physics, Multidisciplinary
Jing Yue, Jian Li, Wen Zhang, Zhangxin Chen
Summary: We propose an efficient deep learning method called coupled deep neural networks (CDNNs) for coupling the Stokes and Darcy-Forchheimer problems. Our method properly compiles the interface conditions of the coupled problems into the networks and serves as an efficient alternative to complex coupled problems. To enforce energy conservation constraints, the CDNNs use simple fully connected layers and a custom loss function for model training and physical property approximation. The method has advantages in random sampling, mesh-free implementation, and parallel computation for solving multiple variables simultaneously. Theoretical results guarantee the convergence of the loss function and the neural networks to the exact solution. Numerical experiments demonstrate the performance of the proposed method.
Article
Engineering, Chemical
Mohammadali Ahmadi, Matthew Clarke, Zhangxin Chen
Summary: Heavy oil and bitumen play a crucial role in Canada's energy resources, and in-situ thermal methods are the primary approaches used to produce them. Researchers used molecular dynamics simulation to study the rheological behavior of bitumen under different temperatures, revealing that the size and polarity of bitumen fractions affect its rheological behavior.
CANADIAN JOURNAL OF CHEMICAL ENGINEERING
(2023)
Article
Geochemistry & Geophysics
Xiaocai Shan, Zhangxin Chen, Boye Fu, Wang Zhang, Jing Li, Keliu Wu
Summary: We introduce a novel deep spatial-sequential graph convolutional network (SSGCN) for predicting total organic carbon (TOC) by leveraging cross-log topological association features and log-specific sequential features, outperforming existing methods. In the southeast Sichuan Basin, SSGCN shows better cross-validation performance and generalizability. Our SSGCN method can predict TOC with an R-2 value of 0.87 within 1 second, increasing efficiency in obtaining TOC parameter. We recommend using graph and sequential convolutions in well-log analysis deep learning architectures.
Article
Biochemistry & Molecular Biology
Mohammadali Ahmadi, Zhangxin Chen
Summary: Using molecular dynamics (MD) simulation, the study evaluated the wettability alteration during steam injection for bitumen and heavy oil recovery. It was found that higher asphaltene content led to higher adsorption energy between bitumen/heavy oil and quartz surfaces. At elevated temperatures, the quartz surfaces became more oil-wet, while at ambient conditions, they were highly water-wet. These findings provide insights into wettability alteration during in situ thermal processes for bitumen and heavy oil recovery.
Article
Energy & Fuels
Qiyang Gou, Shang Xu, Zhangxin Chen, Zhengbin Wu
Summary: The traditional characterization of shale oil reservoir pores is based on the classification of micro, meso, and macropores in shale gas reservoirs. However, the significant difference between oil and gas molecules results in poor applicability of this classification. This study proposes a new classification method for shale oil reservoirs, based on N2 adsorption, Soxhlet extraction, and programmed pyrolysis experiments. Compared to previous methods, this new approach reveals the correlation between shale oil attributes and pore spaces for the first time, providing more accurate evaluation results and significant implications for optimizing exploration strategies.
Article
Energy & Fuels
Gang Hui, Zhangxin Chen, Jun Yan, Muming Wang, Hai Wang, Dongmei Zhang, Fei Gu
Summary: The integrated experiment logging-based strategy is proposed to evaluate high-quality shale in the West Duvernay Shale Basin. Through core measurements and logging interpretations, the geographic distribution of high-quality shales is determined. Machine learning techniques are then used to quantify the relationships between shale productivity and reservoir characteristics and predict the spatial distribution of high-quality shales. The strategy reveals that the Duvernay shale consists of four sublayers, with the D2 and D3 sublayers considered high-quality.
Article
Energy & Fuels
Bo Liao, Jintang Wang, Jinsheng Sun, Kaihe Lv, Lei Liu, Qi Wang, Ren Wang, Xindi Lv, Yudou Wang, Zhangxin Chen
Summary: Studying the synergism effect of different hydrate inhibitors on methane hydrate formation is crucial for developing new gas hydrate inhibitors and drilling and completion fluid systems.
Article
Energy & Fuels
Zhenqian Xue, Shuo Yao, Haoming Ma, Chi Zhang, Kai Zhang, Zhangxin Chen
Summary: This study proposes an optimization framework based on Artificial Neural Network (ANN) and Differential Evolution (DE) to optimize a three-horizontal-well Enhanced Geothermal System (EGS) in the Qiabuqia field, considering the levelized cost of electricity (LCOE) as an economic performance indicator. The results show that the proposed framework can significantly save operation time and achieve the lowest LCOE among all random cases.
Review
Chemistry, Physical
Heng Zhao, Jing Liu, Na Zhong, Steve Larter, Yu Li, Md Golam Kibria, Bao-Lian Su, Zhangxin Chen, Jinguang Hu
Summary: Biomass, as a promising alternative to limited fossil feedstock, has the potential for value-added chemicals and fuels. However, the low conversion efficiency and product selectivity of biomass photoreforming due to its structural complexity and unclear reaction mechanism remain challenges. Hierarchically porous photocatalysts with adjustable surface properties have shown superiority in boosting the conversion efficiency and selectivity by improving mass transfer.
ADVANCED ENERGY MATERIALS
(2023)
Article
Engineering, Chemical
Wei Xiong, Lie -Hui Zhang, Ye Tian, Long-Xin Li, Yu-Long Zhao, Zhang-Xin Chen
Summary: A modified electrolyte cubic plus association equation of state (eCPA EoS) is proposed as a suitable model for CO2 Capture and Storage (CCS) fluids, which accurately calculates the solubility of CO2, CH4, H2S, N2, O2, Ar, and air in multi-component brines. The model includes correlations for the dielectric properties of pure water and the association of ions with polar molecules in mixed solvents containing salts. The improved eCPA model considers the cross association between H2S/CO2 and water, providing accurate calculations for gas solubility in brine and water content in the gas phase.
CHEMICAL ENGINEERING SCIENCE
(2023)
Article
Energy & Fuels
Feng Zhang, Long Nghiem, Zhangxin Chen
Summary: This paper introduces the use of proxy models in reservoir simulation to explore relationships between explanatory and response variables. Deep learning methods, such as Recurrent Neural Networks (RNNs), have shown remarkable advancement in predicting reservoir production. However, the limitation of RNNs being hard to parallelize makes their training process computationally expensive. Therefore, a Transformer based proxy model is proposed in this study to accelerate learning and simulation processes.
GEOENERGY SCIENCE AND ENGINEERING
(2023)
Article
Energy & Fuels
Fanhui Zeng, Gaobin Gong, Yu Zhang, Jianchun Guo, Jing Jiang, Dagan Hu, Zhangxin Chen
Summary: This paper evaluates the fracability of shale reservoirs by considering factors such as sedimentary environment and confining pressure. A brittleness index calculation method is established by coupling logging data and in situ rock mechanics test results. A fracability evaluation method coupling rock brittleness, fracture toughness, and hydraulic fracture-induced index is formed.
GEOENERGY SCIENCE AND ENGINEERING
(2023)
Article
Chemistry, Physical
Xi Cheng, Bo Liu, Heng Zhao, Hongguang Zhang, Jiu Wang, Zhangkang Li, Bei Li, Zhangxin Chen, Jinguang Hu
Summary: This study designed a catalyst with a strong interfacial effect to efficiently photorefine lignocellulosic biomass, producing hydrogen and value-added chemicals. By optimizing the interfacial effect, the catalyst achieved high photocatalytic hydrogen production in the presence of different electron donors. This research demonstrates the potential of photorefining raw biomass through the design and optimization of catalysts.
JOURNAL OF COLLOID AND INTERFACE SCIENCE
(2024)
Article
Thermodynamics
Weibing Tian, Keliu Wu, Yanling Gao, Jing Li, Zhangxin Chen, Wojciech Stanek
Summary: This study revealed the dynamic contact angle (DCA) effect on imbibition and its impact on enhanced oil recovery in tight reservoirs. The results showed that the DCA effect has four stages of influence on imbibition recovery with time and affects both imbibition velocity and recovery rate.
Article
Energy & Fuels
Fuhe Lin, Frank Cheng, Zhangxin Chen
Summary: Condensed water in natural gas transmission can lead to pipeline corrosion and rupture. Predicting the distribution of water film and flow characteristics is crucial for analyzing pipe elbow corrosion. In this study, a model is developed to predict water phase accumulation locations and corrosion extent. The model is validated and shows substantial agreement with previous studies. The simulation results indicate that water film is mainly distributed at the bottom, and the elbow front is more susceptible to corrosion.
GEOENERGY SCIENCE AND ENGINEERING
(2023)
