Non-Equilibrium Transport of a Gas-Condensate Mixture in a Porous Medium

Dinariev, O. Yu.; Evseev, N. V.

doi:10.1134/s0021894423040120

Cited by 1 publication

(1 citation statement)

References 8 publications

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“…In relation to the phase characteristics of condensate gas reservoirs, Onoabhagbe et al [12] propose a novel approach for tracking the phase change based on simulating the formation of condensate blockage in tight as well as low-and high-permeability reservoirs; Wang et al [13] improve the Peng-Robinson model to simulate the phase change of condensate gas and calculate the Processes 2024, 12, 522 2 of 14 volume of condensate oil considering the effect of capillary forces; and Abbasov et al [14] analyze the influence of gas components on the retrograde condensation of condensate gas based on the results of retrograde condensation simulation experiments. During the evaluation of retrograde pollution, Dinariev and Evseev [15] construct a condensate liquid production model for the multicomponent flow of condensate gas based on the dynamic characteristics of the condensate gas phase change. Xiao et al [16] summarize a variety of methods for evaluating retrograde pollution and its impact on production capacity according to the mechanism of near-well retrograde pollution in condensate gas wells.…”

Section: Introductionmentioning

confidence: 99%

A Novel Method for the Quantitative Evaluation of Retrograde Condensate Pollution in Condensate Gas Reservoirs

Zhao,

Zhang,

Gao

et al. 2024

Processes

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During the development of condensate gas reservoirs, the phenomenon of retrograde condensation seriously affects the production of gas wells. The skin factor caused by retrograde condensation pollution is the key to measuring the consequent decrease in production. In this study, a multiphase flow model and a calculation model of retrograde condensate damage are first constructed through a dynamic simulation of the phase behavior characteristics in condensate gas reservoirs using the skin coefficient, and these models are then creatively coupled to quantitatively evaluate retrograde condensation pollution. The coupled model is solved using a numerical method, which is followed by an analysis of the effects of the selected formation and engineering parameters on the condensate saturation distribution and pollution skin coefficient. The model is verified using actual test data. The results of the curves show that gas–liquid two-phase permeability has an obvious effect on well production. When the phase permeability curve changes from the first to the third type, the skin coefficient increases from 3.36 to 26.6, and the condensate precipitation range also increases significantly. The distribution of the pollution skin coefficient also changes significantly as a result of variations in the formation and dew point pressures, well production, and formation permeability. The average error between the calculated skin of the model and the actual test skin is 3.87%, which meets the requirements for engineering calculations. These results have certain significance for guiding well test designs and the evaluation of condensate gas well productivity.

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Section: Introductionmentioning

confidence: 99%