4.5 Article

Phase equilibrium in canonical cubic structure I (sI) and II (sII) and hexagonal (sH) gas hydrate solid solutions

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Review Engineering, Chemical

A review of the contributions of P. Raj Bishnoi to chemical engineering

Anil K. Mehrotra et al.

Summary: This paper reviews the research contributions of Professor Bishnoi in the field of chemical engineering. With a productive and illustrious career spanning over four decades, Prof. Bishnoi has made significant contributions to understanding thermodynamics, kinetics, and process design in chemical engineering. The review highlights his academic achievements and the impact of his research in various areas, including gas hydrates and hydrocarbon systems.

CANADIAN JOURNAL OF CHEMICAL ENGINEERING (2023)

Article Engineering, Chemical

Predicting Gas Hydrate Equilibria in Multicomponent Systems with a Machine Learning Approach

Qazi Nasir et al.

Summary: Natural gas production and transportation in offshore environments can be threatened by gas hydrate plugging, leading to various problems. Machine learning models were developed to predict gas hydrate formation with and without inhibitors, using input parameters such as specific gravity, pressure, and inhibitor concentrations. The accuracy of the models' predictions was evaluated, with three models achieving accuracy greater than 90% and two models achieving accuracies between 80 and 90%.

CHEMICAL ENGINEERING & TECHNOLOGY (2023)

Article Engineering, Chemical

Analysis of short- and long-term system response during gas production from a gas hydrate deposit at the UBGH2-6 site of the Ulleung Basin in the Korean East Sea

George J. Moridis et al.

Summary: This study investigates the feasibility of long-term production from a marine hydrate accumulation in the Ulleung Basin in the Korean East Sea. The analysis shows that production from this hydrate accumulation is technically possible, although gas production rates are generally low and there is a high water-to-gas ratio. Additionally, there are uncertainties in the predictions of the geomechanical system's behavior. The long-term production potential of the reservoir appears challenging due to limited dissociation effectiveness, significant water production, and substantial subsidence.

CANADIAN JOURNAL OF CHEMICAL ENGINEERING (2023)

Article Green & Sustainable Science & Technology

A reliable model to predict the methane-hydrate equilibrium: An updated database and machine learning approach

Mostafa Hosseini et al.

Summary: Gas hydrates, composed of water and small gas molecules, have diverse applications such as storing natural gas, gas separation, and seawater desalination. However, they can also cause problems like gas pipeline blockage. This study developed machine learning models to accurately predict methane-hydrate formation temperature for various brines, and the results showed good accuracy with extremely randomized trees model.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2023)

Review Chemistry, Applied

Combining Machine Learning with Physical Knowledge in Thermodynamic Modeling of Fluid Mixtures

Fabian Jirasek et al.

Summary: Thermophysical properties of fluid mixtures are important in various fields, and prediction methods are essential due to the lack of experimental data. Physical prediction methods, including molecular models, equations of state, and excess property models, are being complemented by new methods from machine learning (ML). This review provides an overview of the interface between these approaches and showcases how physical modeling and ML can be combined to create hybrid models, with examples from recent research and an outlook on future developments.

ANNUAL REVIEW OF CHEMICAL AND BIOMOLECULAR ENGINEERING (2023)

Review Engineering, Chemical

Mixed Solvent Electrolyte Solutions: A Review and Calculations with the eSAFT-VR Mie Equation of State

Nefeli Novak et al.

Summary: This study focuses on the mixed-solvent electrolyte solutions and addresses the mean ionic activity coefficients, vapor-liquid equilibrium, and liquid-liquid equilibrium. The existing models and equations of state for electrolyte systems are reviewed, with emphasis on physical and electrolyte terms, relative static permittivity, and parameterization. A predictive model, eSAFT-VR Mie, is used to predict the activity coefficients, vapor-liquid equilibrium, and liquid-liquid equilibrium without any new adjustable parameters. The model shows excellent performance in predicting the activity coefficients and vapor-liquid equilibrium, while the prediction for liquid-liquid equilibrium is more challenging but has potential with accurate composition capturing.

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2023)

Article Engineering, Chemical

XAI-MEG: Combining symbolic AI and machine learning to generate first-principles models and causal explanations

Abhishek Sivaram et al.

Summary: Current machine learning methods lack mechanistic insights and causal explanations, which is crucial for problems in chemical engineering. A hybrid-AI framework that combines symbolic AI techniques with numeric machine learning methods is proposed to address this limitation.

AICHE JOURNAL (2022)

Article Biotechnology & Applied Microbiology

Artificial intelligence in reaction prediction and chemical synthesis

Venkat Venkatasubramanian et al.

Summary: Recent years have witnessed a rapid increase in the use of artificial intelligence methods for computational reaction modeling and prediction. These methods can be broadly categorized into symbolic AI, purely data-driven numeric AI, and hybrid AI. Symbolic AI translates prior chemistry knowledge into rules, numeric AI utilizes machine learning without explicit domain knowledge, and hybrid AI integrates domain knowledge with data-driven techniques.

CURRENT OPINION IN CHEMICAL ENGINEERING (2022)

Article Energy & Fuels

Analysis of the Techniques for Measuring the Equilibrium Conditions of Gas Hydrates Formation

A. P. Semenov et al.

Summary: This study analyzed the factors influencing the determination of gas hydrates phase equilibria conditions using stepwise heating and constant-rate heating procedures. The results showed that using the GHA350 autoclave can provide more reliable results compared to the RCS6 rocking cells. The stepwise heating method is more reliable but time-consuming, while the constant-rate heating method can significantly reduce the measurement time. The choice of heating rate should be consistent with the mixing efficiency and other factors. For most systems, the results of both methods are consistent within the experimental error limits, except for gas hydrates in concentrated salt solutions with high viscosity at low temperatures.

CHEMISTRY AND TECHNOLOGY OF FUELS AND OILS (2022)

Review Physics, Fluids & Plasmas

Current Trends in Fluid Research in the Era of Artificial Intelligence: A Review

Filippos Sofos et al.

Summary: Computational methods in fluid research have progressed due to the incorporation of large amounts of data, and artificial intelligence and machine learning have played a significant role in fluid research by extracting information from data and converting it into knowledge. Non-linear, decision tree-based methods have shown remarkable performance in reproducing fluid properties.

FLUIDS (2022)

Review Engineering, Chemical

Machine learning for molecular thermodynamics

Jiaqi Ding et al.

Summary: This review summarizes the applications of machine learning methods in molecular thermodynamics, including predicting thermodynamic properties, accelerating material discovery, and developing machine learning force fields, showcasing its potential in chemical engineering.

CHINESE JOURNAL OF CHEMICAL ENGINEERING (2021)

Article Geochemistry & Geophysics

Prediction of Gas Hydrate Formation at Blake Ridge Using Machine Learning and Probabilistic Reservoir Simulation

William K. Eymold et al.

Summary: Methane hydrates are solid structures containing methane that form under low temperature and high pressure conditions. This study developed a workflow to predict methane hydrate occurrence using statistical and machine learning methods. Results suggest that elevated hydrate formation is associated with high seafloor total organic carbon values at depths greater than 500 meters below sea level near Blake Ridge.

GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS (2021)

Article Thermodynamics

A Practical Methodology to Estimate the H-2 Storage Capacity of Pure and Binary Hydrates Based on Monte Carlo Simulations

Ioannis N. Tsimpanogiannis et al.

JOURNAL OF CHEMICAL AND ENGINEERING DATA (2020)

Article Engineering, Chemical

Modeling of Hydrate Dissociation Curves with a Modified Cubic-Plus-Association Equation of State

Andre M. Palma et al.

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2019)

Article Energy & Fuels

Mechanistic Model To Predict Hydrate Deposition under Stratified Flow Conditions

Sriram Ravichandran et al.

ENERGY & FUELS (2019)

Article Engineering, Chemical

The promise of artificial intelligence in chemical engineering: Is it here, finally?

Venkat Venkatasubramanian

AICHE JOURNAL (2019)

Review Engineering, Chemical

Methane hydrates: A future clean energy resource

Zhenyuan Yin et al.

CHINESE JOURNAL OF CHEMICAL ENGINEERING (2019)

Article Chemistry, Multidisciplinary

Toward a Robust, Universal Predictor of Gas Hydrate Equilibria by Means of a Deep Learning Regression

Michael K. B. Landgrebe et al.

ACS OMEGA (2019)

Review Energy & Fuels

A review of solidified natural gas (SNG) technology for gas storage via clathrate hydrates

Hari Prakash Veluswamy et al.

APPLIED ENERGY (2018)

Article Thermodynamics

Modeling of mixed-solvent electrolyte systems

Saifuddin Ahmed et al.

FLUID PHASE EQUILIBRIA (2018)

Article Thermodynamics

Advancements in hydrate phase equilibria and modeling of gas hydrates systems

M. Naveed Khan et al.

FLUID PHASE EQUILIBRIA (2018)

Article Thermodynamics

Prediction of vapor-liquid-hydrate equilibrium conditions for single and mixed guest hydrates with the SAFT-VR Mie EOS

Muhammad S. Waseem et al.

JOURNAL OF CHEMICAL THERMODYNAMICS (2018)

Review Chemistry, Multidisciplinary

A Review of Clathrate Hydrate Based Desalination To Strengthen Energy-Water Nexus

Ponnivalavan Babu et al.

ACS SUSTAINABLE CHEMISTRY & ENGINEERING (2018)

Review Energy & Fuels

Review of natural gas hydrates as an energy resource: Prospects and challenges

Zheng Rong Chong et al.

APPLIED ENERGY (2016)

Article Thermodynamics

Hydrate - fluid phase equilibria modeling using PC-SAFT and Peng-Robinson equations of state

Sally El Meragawi et al.

FLUID PHASE EQUILIBRIA (2016)

Article Thermodynamics

Storage of Methane in Clathrate Hydrates: Monte Carlo Simulations of sI Hydrates and Comparison with Experimental Measurements

Nikolaos I. Papadimitriou et al.

JOURNAL OF CHEMICAL AND ENGINEERING DATA (2016)

Article Energy & Fuels

Alternative EoS-based model for predicting water content, metastable phases and hydrate formation in natural gas systems

Fernando de Azevedo Medeiros et al.

JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2016)

Article Thermodynamics

Modeling hydrate formation conditions in the presence of electrolytes and polar inhibitor solutions

Shahriar Osfouri et al.

JOURNAL OF CHEMICAL THERMODYNAMICS (2015)

Article Energy & Fuels

Hydrogen storage in clathrate hydrates: Current state of the art and future directions

Hari Prakash Veluswamy et al.

APPLIED ENERGY (2014)

Article Computer Science, Interdisciplinary Applications

Revisiting Computational Thermodynamics through Machine Learning of High-Dimensional Data

Srikant Srinivasan et al.

COMPUTING IN SCIENCE & ENGINEERING (2013)

Article Thermodynamics

A fractal approach on modeling gas hydrate phase equilibria in porous media

Sheng-Li Li et al.

FLUID PHASE EQUILIBRIA (2013)

Review Engineering, Chemical

Clathrate Hydrates: From Laboratory Science to Engineering Practice

Amadeu K. Sum et al.

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2009)

Review Engineering, Chemical

Ten years with the CPA (Cubic-Plus-Association) equation of state. Part 1. Pure compounds and self-associating systems

Georgios M. Kontogeorgis et al.

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2006)

Review Chemistry, Multidisciplinary

Gas hydrates: A cleaner source of energy and opportunity for innovative technologies

P Englezos et al.

KOREAN JOURNAL OF CHEMICAL ENGINEERING (2005)

Review Chemistry, Multidisciplinary

Towards a fundamental understanding of natural gas hydrates

CA Koh

CHEMICAL SOCIETY REVIEWS (2002)

Article Thermodynamics

Measurement of dissolved methane in water in equilibrium with its hydrate

P Servio et al.

JOURNAL OF CHEMICAL AND ENGINEERING DATA (2002)