Correlation of binary interaction coefficients for hydrate inhibition using the Soave-Redlich-Kwong Equation of State and the Huron-Vidal mixing rule

Epelle, Emmanuel I.; Bennett, Jim; Abbas, Hicham; Schmidt, Kurt A. G.; Vesovic, Velisa

doi:10.1016/j.jngse.2020.103259

Cited by 10 publications

(2 citation statements)

References 34 publications

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“…Clathrate hydrates are compounds containing guest molecules within a host framework made up of water molecules connected by hydrogen bonds [369,370]. When water and hydrogen gas are mixed under high pressures and low temperatures, the hydrogen molecules are trapped in polyhedral cages to form the hydrate [371].…”

Section: Clathratesmentioning

confidence: 99%

Hydrogen production, transportation, utilization, and storage: Recent advances towards sustainable energy

Muhammed,

Gbadamosi,

Epelle

et al. 2023

Journal of Energy Storage

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Section: Clathratesmentioning

confidence: 99%

Hydrogen production, transportation, utilization, and storage: Recent advances towards sustainable energy

Muhammed,

Gbadamosi,

Epelle

et al. 2023

Journal of Energy Storage

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“…The PR and the SRK with the HV mixing rule are the most common equations of state because of their robustness in modeling the phase behavior of reservoir fluids. The SRK-HV shows better performance compared to the PR-HV for systems generally that involve hydrocarbons and hydrate inhibitors such as MEG or MeOH 33,34.…”

mentioning

confidence: 99%

Measurements and Predictions of Gas Hydrate Phase Equilibria for CO₂-Rich Gas Mixtures

Lee,

Sum

2024

Energy Fuels

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Gas hydrates are an ever-present concern in oil and gas production, as their undesirable formation results in flowline blockage, creating a significant operational loss and hazardous conditions. While the predictions of gas hydrate phase equilibria are mostly reliable, the data for hydrate phase equilibria in the literature are mostly limited under typical natural gas mixtures with a low CO 2 content. Uncertainties in the predictions are significant when considering CO 2 -rich systems at high pressures and high concentrations of thermodynamic hydrate inhibitors (THIs). This study assesses the reliability and accuracy of hydrate dissociation conditions for CO 2 -rich gas mixtures in the presence of THIs with experimental measurements of hydrate dissociation and comparisons to prediction tools. Hydrate phase equilibria for four gas mixtures of CO 2 + CH 4 (20/80 and 80/20 mol %) and CO 2 + CH 4 + C 3 H 8 (20/75/5 and 60/37/3 mol %) with monoethylene glycol and methanol were determined at pressures up to 50 MPa and compared with four different prediction tools: PVTsim, Multiflash, Hu−Lee−Sum (HLS) correlation, and the ice melting point method. Among the predictions, the HLS correlation and ice melting methods showed a higher prediction accuracy than that of PVTsim and Multiflash. Overall, the determination and predictions of the phase equilibria in the conditions in this study are significant for CO 2 -rich systems, applicable to many of the current fields rich in CO 2 and suitable for applications such as CO 2 transportation for reinjection into the reservoir for greenhouse gas abatement.

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A computational performance comparison of MILP vs. MINLP formulations for oil production optimisation

Epelle

Gerogiorgis

2020

Computers & Chemical Engineering

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Model-based oil production systems optimisation under pressure and facility routing constraints is a testing challenge, especially in presence of complex downhole wellbore phenomena (water coning, slugging, phase separation). Nonlinearities and nonconvexities from underlying physics and binary decisions exacerbate model complexity, yielding Mixed Integer Nonlinear Programs (MINLP). To guarantee solvability of optimisation formulations and reduce MINLP complexity, piecewise linearisation techniques based on Special Ordered Sets of type 2 (SOS2) constraints are developed towards approximating nonlinear functions and transforming models to Mixed Integer Linear Programs (MILP). Nevertheless, computational analyses of MILP vs. MINLP formulations for oil production optimisation are scarce. This study explores the benefits of an MILP reformulation applied to three case studies of varying complexity. We compare MILP model results to original MINLP formulation solutions with multiple solvers, evaluating the impact of the number of linearisation breakpoints used on solution time, accuracy, robustness, model development effort and ease of automation.

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Correlation of binary interaction coefficients for hydrate inhibition using the Soave-Redlich-Kwong Equation of State and the Huron-Vidal mixing rule

Cited by 10 publications

References 34 publications

Hydrogen production, transportation, utilization, and storage: Recent advances towards sustainable energy

Hydrogen production, transportation, utilization, and storage: Recent advances towards sustainable energy

Measurements and Predictions of Gas Hydrate Phase Equilibria for CO₂-Rich Gas Mixtures

A computational performance comparison of MILP vs. MINLP formulations for oil production optimisation

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Correlation of binary interaction coefficients for hydrate inhibition using the Soave-Redlich-Kwong Equation of State and the Huron-Vidal mixing rule

Cited by 10 publications

References 34 publications

Hydrogen production, transportation, utilization, and storage: Recent advances towards sustainable energy

Hydrogen production, transportation, utilization, and storage: Recent advances towards sustainable energy

Measurements and Predictions of Gas Hydrate Phase Equilibria for CO2-Rich Gas Mixtures

A computational performance comparison of MILP vs. MINLP formulations for oil production optimisation

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Product

Resources

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Measurements and Predictions of Gas Hydrate Phase Equilibria for CO₂-Rich Gas Mixtures