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储层压力的动态变化是影响储气库注采能力的关键环节。为了研究储气库注采过程中地层压力随库容量的动态变化关系,结合生产数据和物质平衡原理,建立了3种评价储气库地层压力随库容量动态变化的快速计算方法,即生产数据拟合法、定容法及动态计算法。利用3种方法对储气库的地层压力随库容量的变化及地层压力在一个动态注采周期的变化进行计算,同时比较分析了定容法和动态计算法对储气库地层压力预测结果产生差异的原因,在此基础上对储气库注、采气量波动及注采周期对储气库地层压力的影响进行了敏感性分析。结果表明:3种方法都可以用于对储气库地层压力变化的动态预测,方法 1的准确性依赖于生产数据的获取及生产数据变化趋势分析;方法2适用于边水、油环的变化可以忽略的储气库地层压力预测;方法 3适用于对多种类型的储气库进行地层压力预测,但需要的地层参数相对较多。地层压力受日注采气量波动影响较小,受注采周期的影响较大。
The dynamic change of reservoir pressure is the key link that affects the ability of gas injection and production. In order to study the dynamic relationship between formation pressure and reservoir capacity during the process of gas injection and production, three rapid calculation methods to evaluate the dynamic change of formation pressure with the reservoir capacity were established based on the production data and material balance principle. The production data Fitting method, fixed volume method and dynamic calculation method. Three kinds of methods were used to calculate the change of formation pressure in the gas reservoir with the change of reservoir capacity and the change of formation pressure in a dynamic injection-production cycle. At the same time, the results of predicting the formation pressure of gas reservoir by the method of constant volume and dynamic calculation On the basis of this, sensitivity analysis was made on the influence of reservoir injection, gas production fluctuations and injection-production cycle on reservoir pressure. The results show that all of the three methods can be used to predict the formation pressure changes in gas reservoirs. The accuracy of method 1 depends on the acquisition of production data and the trend analysis of production data. The second method is suitable for the change of edge water and oil ring Negligible gas reservoir formation pressure prediction; Tier 3 is suitable for the prediction of formation pressure for many types of gas reservoirs, but requires relatively more formation parameters. The formation pressure is less influenced by the fluctuation of daily injection volume, which is greatly affected by the injection-production cycle.