Abstract
The productivity equation of a gas well is, in the final analysis, an expression that describes the relationship between the production of a gas well and its bottom-hole flowing pressure. There are two kinds of productivity equations in common use at present: binomial productivity equation and exponential productivity equation. Combined with the modified isochronal well test, the test data are interpreted, and it is found that the open flow rates calculated by the two productivity equations are basically the same when the pressure difference at the test point is large, and the deviation of the exponential productivity equation is large when the pressure difference at the test point is small. Using binomial productivity equation and modifying isochronous well test, we established the single-point deliverability formula for the Jingbian sector of the Yan’an gas field. The field experience formula and production data are used to verify it. Their average errors are 2.59% and 7.12%, respectively; and the coincidence rate of productivity evaluation is 90%. The one-point productivity formula established has high precision and is suitable for productivity analysis of gas wells in paleozoic reservoirs in the Jingbian sector of the Yan’an gas field. This paper provides insights into the one-point productivity evaluation and its future application in the gas field.
Highlights
The productivity of a gas well is mainly controlled by reservoir geological conditions (Li et al, 2001; Tang et al, 2004; Fu et al, 2021)
During the development of gas field, it is of great significance to predict the productivity and analyze the performance dynamics, which is the basis of developing fields efficiently
The one-point method can significantly reduce the workload of well tests, reduce the burden of production, and provide theoretical evidence for the production allocation based on the gas productivity equations
Summary
The productivity of a gas well is mainly controlled by reservoir geological conditions (Li et al, 2001; Tang et al, 2004; Fu et al, 2021). Production of 3.5041 × 104 m3/day exceeds the half rate of absolute open flow This indicates that if the pressure difference in different work modes is large, the difference of productivity between binomial and exponential models is small. While using this chart in the field, the maximum value by the exponential model and the minimum model is able to generate a range to determine the bottom-hole pressure. It is suggested to combine with reservoir simulation if this model applies information of complex conditions
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