Correction method for reasonable productivity prediction of underground gas storage well

Abstract

The invention relates to a correction method for reasonable productivity prediction of an underground gas storage well. The method comprises the following steps that a gas well binomial productivity equation (inflow curves) represents the supply capacity of a stratum; the flowing capacity of an oil pipe under the condition of limited pipe diameter of the oil pipe is determined through the oil pipe flowing capacity (outflow curve); the maximum flowing capacity of a gas well under the condition of the oil pipe can be obtained through combined intersections of the curves; for the production capacity of the gas well, limits to reasonable production pressure differences also shall be taken into consideration besides the capacity of the intersections of the inflow curves and the outflow curve. According to the invention, the intersections of the inflow curves and the outflow curve are corrected through establishing reasonable production pressure differences of the gas well, and the reasonable productivity of the gas well is obtained after correction. The method is simple in calculation, conforms to the actual situation, and can further guide the design of the gas storage effectively.

Description

technical field [0001] The invention relates to the technical field of gas field development, and more specifically, the invention relates to a method for predicting and correcting reasonable production capacity of underground gas storage wells. Background technique [0002] Productivity prediction of natural gas wells is a technology to comprehensively evaluate the oil and gas production capacity of reservoirs, which is of great significance to the exploration and development of gas fields. Deployment and planning provide important scientific basis. [0003] At present, there are mainly three methods for production capacity forecasting: one is to establish a forecasting model by simulating storage parameters and actual production capacity; the other is to establish a storage classification model based on a neural network for capacity forecasting. However, the prediction methods in the prior art require multiple tests of sufficient productivity at different stages of gas we...

AI Technical Summary

Problems solved by technology

However, the prediction method of the prior art requires multiple full productivity tests at different stages of gas well development

Although the flow capacity of the formation and tubing is considered in the design of the existing technology, it does not consider the actual conditions of the mine, such as sand production, water production and low permeability, which will lead to unreasonable production pressure differences.

Images