Article
Energy & Fuels
Chenhui Wang, Ailin Jia, Zhi Guo, Suqi Huang, Xiaomin Shi, Feifei Cui
Summary: Injecting carbon dioxide (CO2) into gas reservoirs is an important technique for enhancing gas recovery and reducing CO2 emissions. Existing empirical correlations for predicting compressibility factors of natural gases with high CO2 content show large deviations. This study proposes an explicit correlation to improve the accuracy in estimating the compressibility factors of condensate gases with varying CO2 contents. By analyzing 202 experimental data from 9 different gas mixtures, it is found that the new correlation has a smaller average error (less than 4%) compared to conventional correlations (8% average error).
Article
Energy & Fuels
Yichen Wang, Jigen Ye, Shuhong Wu
Summary: A new empirical formula for natural gas compressibility factors has been developed through multivariate nonlinear regression using data from the Standing-Katz chart, demonstrating higher calculation accuracy and applicability under a wide range of pressure conditions.
Article
Engineering, Chemical
Nithin B. Kummamuru, Patrice Perreault, Silvia Lenaerts
Summary: This work presents a new empirical correlation for predicting methane hydrate equilibrium conditions in pure water, showing high accuracy and performance across a wide range of temperature and pressure.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2021)
Article
Energy & Fuels
Alaa Ghanem, Mohammed F. Gouda, Rima D. Alharthy, Saad M. Desouky
Summary: This study develops two models for predicting the compressibility factor of natural gas, using a wide range of experimental data. The statistical regression and multi-layer-feedforward neural network models show high predictive accuracy.
Article
Energy & Fuels
Huang Liu, Zhengkun Tian, Ping Guo, Qian Li, Zhouhua Wang, Wenjuan Wang, Jianfen Du, Yunfan Wen
Summary: The study found that under high pressure, the compressibility factors initially decreased with pressure before increasing again. In ultra-high temperature and pressure reservoir conditions, the compressibility factors of sample 3 were significantly higher than those of sample 1 and sample 2, and injecting CO2 substantially reduced the compressibility factors of sample 2.
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING
(2021)
Article
Chemistry, Multidisciplinary
Victor L. Malyshev, Yana F. Nurgalieva, Elena F. Moiseeva
Summary: The study focuses on methods for calculating the compressibility factor of gases, with optimal equations of state and empirical correlations identified for accurate z-factor prediction. It was also found that the accuracy varies for different gas mixtures, with certain methods showing higher accuracy.
PERIODICO TCHE QUIMICA
(2021)
Article
Automation & Control Systems
Shriram Srinivasan, Kaarthik Sundar, Vitaliy Gyrya, Anatoly Zlotnik
Summary: In this paper, we formulate and solve a steady-state network flow problem for nonideal gas. We present a theorem on the uniqueness of the solution for a wide range of nonideal pressure-density relations and develop a Newton-Raphson algorithm for numerical solution. The algorithm is robust and the nondimensionalization of the equations is found to be crucial for its convergence. We also compare pressure and flow solutions based on ideal and nonideal equations of state, demonstrating the importance of applying the latter in practice.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2023)
Article
Multidisciplinary Sciences
Fardad Faress, Amin Yari, Fereshteh Rajabi Kouchi, Ava Safari Nezhad, Alireza Hadizadeh, Leili Sharif Bakhtiar, Yousef Naserzadeh, Niloufar Mahmoudi
Summary: This study introduces a universal correlation based on the modified version of the Arrhenius equation to estimate the solubility of anti-cancer drugs in supercritical carbon dioxide (CO2). The proposed correlation demonstrates improved accuracy compared to existing empirical correlations, with an absolute average relative deviation (AARD) of 9.54% for predicting experimental measurements. The primary outcome of this study is a 56.2% improvement in the solubility prediction of anti-cancer drugs in supercritical CO2.
SCIENTIFIC REPORTS
(2022)
Article
Physics, Multidisciplinary
Zheng Ya-Xin, Naranmandula
Summary: The newly proposed Gilmore-NASG model is used to study the acoustic cavitation characteristics of a bubble in compressible liquid. Compared to the original KM-VdW model, the Gilmore-NASG model can provide larger compression ratio, deeper collapse depth, higher temperature and pressure peaks for the cavitation bubble due to its consideration of liquid compressibility. The Gilmore-NASG model also takes into account the changes of sound velocity caused by liquid compressibility, avoiding abnormal increase in Mach number at the bubble wall.
ACTA PHYSICA SINICA
(2022)
Article
Energy & Fuels
Xiaoxian Yang, Darren Rowland, Catherine C. Sampson, Peter E. Falloon, Eric F. May
Summary: By adjusting the thermodynamic model, solid formation and deposition in LNG can be accurately predicted using cubic equations of state. Peng-Robinson (PR) equation performed the best in representing the solid-fluid equilibrium temperatures for most mixtures. The solubility of various impurities in methane at different temperatures can be studied using this model.
Article
Energy & Fuels
Guangfeng Liu, Leiyu He, Zhaoqi Fan, Yilin He, Zheng Wu, Zhenjia Wang
Summary: This study investigates the natural gas solubility in brine and its influence on natural gas reserve and production in a tight gas reservoir through laboratory experiments, phase equilibrium calculations, and numerical evaluation. The research finds that solubility decreases with production and has an impact on cumulative gas production.
Article
Economics
Kelly Burns
Summary: The study found that the own price elasticity of natural gas demand in U.S. residential sector has been steadily declining, while the income elasticity has remained relatively constant and negative. This indicates a decreasing sensitivity of residential natural gas demand to price changes, with a stable response to income fluctuations.
Article
Thermodynamics
Fengyun Li, Xingmei Li
Summary: This paper investigates the regional natural gas market in China and its role in solving the crucial contradiction between the national pipeline network company and provincial natural gas companies. The study shows that the development of natural gas markets in Chinese provinces is uneven, with strong performance in resource-rich and eastern provinces. The densely connected areas of the natural gas market are mainly concentrated in the Beijing-Tianjin-Hebei region, the Yangtze-River-Delta region, and the Sichuan-Chongqing region.
Article
Thermodynamics
Yuanyuan Gong, Hui Sun, Zhiwei Wang, Chenxin Ding
Summary: This study investigates the spatial network pattern and evolution mechanism of gas consumption in China using network analysis and exponential random graph analysis methods. The findings show an enhanced spatiotemporal evolution of natural gas consumption, with increased network density, decreased hierarchy, fluctuating network efficiency, and an increasing number of bidirectional spillover relations. The study also identifies different characteristics and trends in gas consumption among different provinces.
Article
Chemistry, Physical
Zhandos A. Moldabekov, Mani Lokamani, Jan Vorberger, Attila Cangi, Tobias Dornheim
Summary: We evaluate the accuracy of common hybrid exchange-correlation functionals for perturbed electron gas in warm dense matter. Comparing with exact quantum Monte Carlo results, we find that PBE0, PBE0-1/3, HSE06, and HSE03 functionals show improved density response, while B3LYP performs poorly. The PBE0, PBE0-1/3, HSE06, and HSE03 functionals are also more accurate than SCAN in the regime of partial degeneracy.
JOURNAL OF CHEMICAL PHYSICS
(2023)
