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Insights on equation of state modeling PVT experiments for deep volatile oil reservoir by Jing Zhang; Jing Xia; Jun Qin; Zhongchen Ba; Haining Zhao; Haonan Wu; Chaojie Di; Huijin Chen; Xiaoxi Lin is a Engineering article available to read on EtoBox.

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Accurate prediction of the PVT properties and phase behavior plays an important role in developing volatile oil reservoirs. The objective of this study is to characterize volatile oil sample using our improved Perturbation from n-Alkane (PnA) method and validate the results by use of high-quality PVT experimental data from GT1 well through detailed PVT simulation. We implemented PnA method for reservoir fluid characterization and simulated all PVT experiments through an in-house programming package. We compared the modeling results to the experimental data and found that the equation of state (EOS) parameters characterized by the PnA method is able to describe the PVT properties and phase behavior of volatile oil very well. According to the PVT modeling results, we suggested that (1) constant volume depletion test for GT1 volatile oil can be replaced by differential liberation experiment, combined with the data obtained from reliable EOS calculations;(2) the amount of surface-produced condensate for a volatile oil reservoir is up to 4.5% OOIP depending on reservoir abandonment pressure. Therefore, for GT1 volatile oil, condensate production should be carefully evaluated throughout

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Author

Jing Zhang; Jing Xia; Jun Qin; Zhongchen Ba; Haining Zhao; Haonan Wu; Chaojie Di; Huijin Chen; Xiaoxi Lin

Publisher

Informa UK Limited

Published

2023

Language

EN

Field

Engineering (Physical Sciences)