Quantitative assessment of a novel method for fluid thermodynamic test simulation in multicomponent systems

This paper presents a quantitative methodology for simulating fluid thermodynamic tests, including constant composition expansion (CCE), differential liberation (DL), and separator tests, within multicomponent systems. The approach combines equilibrium ratios, flash calculations, and the Peng-Robinson equation of state. Utilizing the PVTp (Pressure - Volume - Temperature) package regression procedure enables the calibration of OmegaA and OmegaB values, enhancing accuracy and minimizing error margins in fluid thermodynamic calculations compared to empirical data. Numerical results demonstrate the effectiveness of this method. Bubble point pressure values from observed, software-generated, and calculated data are 2344, 2339, and 2350.42 psia, respectively. Calculated fluid thermodynamic test results closely align with software predictions and exhibit acceptable error levels compared to the measured data. However, discrepancies in the solution gas - oil ratio during the DL test highlight the need for more comprehensive measured data to improve simulation accuracy and reduce error margins. The comparison between the proposed methodology and collected data confirms the effectiveness of integrating equilibrium ratios, flash calculations, and the Peng-Robinson equation of state for precise fluid thermodynamic calculations. This approach offers a quantitative framework for simulating fluid thermodynamic tests, providing insights while reducing reliance on costly laboratory experiments.

Authors

Publication Details

Journal
Petrovietnam Journal
Published
2024-12-27
DOI
https://doi.org/10.47800/pvsi.2024.06-08
Primary Topic
Phase Equilibria and Thermodynamics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantitative assessment of a novel method for fluid thermodynamic test simulation in multicomponent systems

Ta Quoc Dung, Pham Phuoc Tinh, Le The Ha
Petrovietnam Journal
Phase Equilibria and Thermodynamics
article

Quantitative assessment of a novel method for fluid thermodynamic test simulation in multicomponent systems

Ta Quoc Dung, Pham Phuoc Tinh, Le The Ha
article en

Abstract

This paper presents a quantitative methodology for simulating fluid thermodynamic tests, including constant composition expansion (CCE), differential liberation (DL), and separator tests, within multicomponent systems. The approach combines equilibrium ratios, flash calculations, and the Peng-Robinson equation of state. Utilizing the PVTp (Pressure - Volume - Temperature) package regression procedure enables the calibration of OmegaA and OmegaB values, enhancing accuracy and minimizing error margins in fluid thermodynamic calculations compared to empirical data. Numerical results demonstrate the effectiveness of this method. Bubble point pressure values from observed, software-generated, and calculated data are 2344, 2339, and 2350.42 psia, respectively. Calculated fluid thermodynamic test results closely align with software predictions and exhibit acceptable error levels compared to the measured data. However, discrepancies in the solution gas - oil ratio during the DL test highlight the need for more comprehensive measured data to improve simulation accuracy and reduce error margins. The comparison between the proposed methodology and collected data confirms the effectiveness of integrating equilibrium ratios, flash calculations, and the Peng-Robinson equation of state for precise fluid thermodynamic calculations. This approach offers a quantitative framework for simulating fluid thermodynamic tests, providing insights while reducing reliance on costly laboratory experiments.

Petrovietnam JournalVol. 6
Viet Nam National University Ho Chi Minh City
Openalex Percentile: Top 77%
Phase Equilibria and Thermodynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.