Abstract
Based on the informatization and intelligent construction of an oilfield, this paper proposes a new method for calculating inflow performance relationship in sucker rod pump wells, which solves the limitations of current IPR curve calculation method in practical application. By analyzing the forming principle of the dynamometer card, the plate of abnormal dynamometer card is created innovatively, and the recognition model of abnormal dynamometer card based on “feature recognition” is established to ensure the accuracy of the dynamometer card. By analyzing the curvature of each point on the curve of downhole pump dynamometer card, the opening and closing points of standing valve and traveling valve are determined, and the models for calculating fluid production and bottom hole flowing pressure are established to obtain the data of fluid production and bottom hole flowing pressure of sucker rod pump wells. Finally, a calculation model of inflow performance relationship fitted with the calculated fluid production and bottom hole flowing pressure data based on genetic algorithm is established to realize calculation of oil well inflow performance relationship curve. The field application and analysis results show that the inflow performance relationship curve calculated by the model in this paper fits well with the measured data points, indicating that the calculation model has high accuracy and can provide theoretical and technical support for the field. Moreover, the real-time acquisition of dynamometer cards can provide real-time data source for this method, improve the timeliness of oil well production analysis, and help to reduce the production management costs and improve the production efficiency and benefit.
Highlights
The inflow performance relationship (IPR) curve of oil well is a curve describing the relationship between oil well production and bottom hole flowing pressure [1,2,3], which is the basis of well performance analysis and productivity prediction [4,5,6,7,8,9]
The dimensionless IPR equation proposed by Vogel [10] is widely used to determine the IPR curve of two-phase flow, but the Vogel equation is based on the assumption of an ideal perfect well, and there will be a large error in actual production
In view of the above problems, based on the informatization and intelligent construction of the oilfield [21, 22], this paper studies the calculation method of inflow performance relationship in sucker rod pump wells based on real-time monitoring dynamometer card
Summary
The inflow performance relationship (IPR) curve of oil well is a curve describing the relationship between oil well production and bottom hole flowing pressure [1,2,3], which is the basis of well performance analysis and productivity prediction [4,5,6,7,8,9]. Bendakhlia et al [16] proposed the IPR curve equation varying with the recovery degree, but did not give the specific calculation method of the equation parameters, which made it difficult for the model to be applied in practice For this reason, many scholars have done a lot of further research and fitting modification work on the relevant models [17,18,19,20], but the data used for regression fitting is limited to wells under certain conditions, so the IPR equation obtained is not universal, and in actual production, a large number of test data points cannot be obtained, which limits its application. Based on the Bendakhlia model, a model for calculating inflow performance relationship fitted with the calculated fluid production and bottom hole flowing pressure data based on genetic algorithm is established to realize the calculation of oil well inflow performance relationship curve
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