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基于油井早期产量递减分析的地层参数反演方法
引用本文:孙兆乐,程林松,贾品,金子一,张向阳.基于油井早期产量递减分析的地层参数反演方法[J].特种油气藏,2022,29(5):101-106.
作者姓名:孙兆乐  程林松  贾品  金子一  张向阳
作者单位:中国石油大学(北京),北京 102249
基金项目:国家自然科学基金“致密储层‘压裂成藏’油水赋存状态变化机理及渗流数学模型研究”(52004307);中国石油重大战略项目“鄂尔多斯盆地致密油-页岩油富集、高效开发理论与关键技术”(ZLZX2020-02-04-03)
摘    要:油井投产初期受生产制度影响导致产量不稳定,常规产量递减分析方法并不适用。针对该问题,采用杜哈美原理将油井变产量压力解转化为定产压力解的形式,通过引入物质平衡时间及规整化产量,得到适用于油井早期变产量生产的数据分析方法,并运用数学模型对处理后的数据进行拟合,从而获得储层参数的反演。以大庆油田P1-2井为例,利用日产油及井底流压生产数据,进行单井生产动态定量分析,绘制了规整化产量-物质平衡时间的双对数曲线图版,定量反演解释地层真实物性参数。结果表明,该方法用于分析变产量生产数据后,曲线表现出常规递减图版不稳定流和边界流明显分段的特征。实例应用表明,该方法平均误差小于10%,准确性较高。该研究可为油井早期产能分析提供理论指导。

关 键 词:产量递减分析  杜哈美原理  规整化产量  参数反演  
收稿时间:2022-01-16

Formation Parameter Inversion Method Based on Early Production Decline Analysis of Oil Well
Sun Zhaole,Cheng Linsong,Jia Pin,Jin Ziyi,Zhang Xiangyang.Formation Parameter Inversion Method Based on Early Production Decline Analysis of Oil Well[J].Special Oil & Gas Reservoirs,2022,29(5):101-106.
Authors:Sun Zhaole  Cheng Linsong  Jia Pin  Jin Ziyi  Zhang Xiangyang
Affiliation:China University of Petroleum (Beijing), Beijing 102249, China
Abstract:In the initial stage of production of oil wells, affected by the production system, the production is unstable, and the conventional production decline analysis method is not applicable. To solve this problem, by means of transforming the variable production pressure solution of oil wells into the constant production pressure solution under Duhamel’s principle, a data analysis method suitable for early variable output production of oil wells is obtained through introducing material balance time and normalized production, and the mathematical model is used to fit the processed data, so as to obtain the inversion of reservoir parameters. Taking Well P1-2 in Daqing Oilfield as an example, the daily oil production and bottom-hole flow pressure production data were used to quantitatively analyze the production dynamics of a single well, and the regularized production-material balance time double logarithmic curve chart was plotted to perform the quantitative inversion interpretation of the real physical parameters of the formation. The results show that after the method is used to analyze the production data of variable output, the curve exhibits the characteristics of unstable flow and distinct segmentation of the boundary flow in the conventional decline plot. The practical application shows that the average error of this method is less than 10%, and the accuracy is high. This study can provide theoretical guidance for the early productivity analysis of oil wells.
Keywords:production decline analysis  Duhamel′s principle  normalized production  parameter inversion  
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