In order to improve the dynamic control ability of multiphase flow in heavy
oil reservoir by steam injection, he put forward the sequential solution
method of multiphase flow in heavy oil reservoir by steam injection based on
numerical oscillation, established saturation equation and dynamic equation
of multiphase flow in heavy oil reservoir by steam injection, solved the
output pressure of multiphase flow in heavy oil reservoir by pressure
equation based on volume conservation, and established the sequential
solution model of all-component model of multiphase flow in heavy oil
reservoir by steam injection. The output pressure of multiphase seepage in
steam injection-production heavy oil reservoir is transformed into parabolic
variable, and the saturation and composition are hyperbolic variable models.
Through the analysis method of saturation and composition characteristics of
all-component model, combined with the pressure signal analysis of numerical
oscillation, empirical mode decomposition and spectrum analysis methods are
adopted to realize the velocity parameter analysis and multiphase seepage
sequence analysis of steam injection-production heavy oil reservoir, and the
numerical oscillation analysis and parameter estimation of multiphase
seepage in steam injection-production heavy oil reservoir are realized by
establishing the sequential solution algorithm of steam injection-production
heavy oil reservoir. The simulation results show that this method is used to
solve the multiphase seepage sequence of heavy oil reservoir by steam
injection, and the parameter estimation accuracy is high, which improves the
calculation efficiency of numerical simulation of steam injection and
production. The calculation efficiency and accuracy of this algorithm in
two-dimensional and three-dimensional examples with gravity are verified by
examples.
Taking the low-permeability reservoir of complex sandy conglomerate reservoir of Kongdian Formation in Bozhong structure as the research goal, the comprehensive discrimination method of fluid phase state category of low-permeability reservoir is studied. This article analyzes the division method, genesis, and geological characteristics of low-permeability reservoirs and the distribution law of fluid phase. Based on the gas state equation and gas-liquid phase equilibrium equation, combined with thermodynamic theory, hydrocarbon fluid phase simulation is carried out by calculating bubble point pressure, dew point pressure, and other parameters. Combining the analysis results of fluid composition of typical wells, the fluid types of low-permeability reservoirs in complex glutenite reservoirs of Kongdian Formation in Bozhong structure are comprehensively distinguished by using phase diagram discrimination method and empirical statistical method of hydrocarbon composition combination parameters. The results show that the phase diagram discrimination method is consistent with the empirical statistical method of hydrocarbon composition combination parameters, and the discrimination accuracy of phase state category is close to 100 %. It is concluded that the low-permeability reservoir of complex sandy conglomerate reservoir of Kongdian Formation in Bozhong structure is mainly oil-free condensate gas reservoir.
The operator in China Sichuan gas field is often faced with challenges of efficiently removing water from aged gas production wells in which reservoir pressure depletes and liquid loading problem ensues. Applying the proper dewatering method is essential to keep the well flowing and avoid water accumulating in bottom hole. Among the many proven dewatering artificial lift methods, ESP (Electric Submersible Pump) technology has its advantage in wells which need a high volume of water produced with maximum pressure drawdown, which are beyond the capability of other artificial lift methods.
First introduced in year of 1984, the operator and ESP provider have made considerable progress to develop an ESP application method in the field through theoretical studies, field trials and regular production.
This paper concentrates on discussing the ESP sizing and optimization practice to tackle the corrosive, extremely gassy, fluctuating liquid inflow environment typically seen in gas wells - an area used to be perceived as infeasible for ESP technology. The methodology of well selection, completion string design and production management could be used for reference where there are similar challenges with Sichuan gas field.
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