大庆石油地质与开发

2019, v.38;No.196(06) 149-154

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砂砾岩致密油储层支撑剂导流能力预测
Prediction of the conductivity of the proppant in glutenite tight oil reservoirs

张静娴,许冬进,廖锐全
ZHANG Jingxian,XU Dongjin,LIAO Ruiquan

摘要(Abstract):

由于致密油储层具有储量大、渗透率低等特性,现场多运用水平井分段压裂技术来提高采收率。而压裂后导流能力的确定,往往需要大量时间与实验进行论证。从概率统计分析角度出发,分析了多种导流能力影响因素,比较各自权重后发现:闭合压力、支撑剂粒径以及铺砂浓度对导流能力影响比较显著。进而优化实验方案,对导流能力显著影响因素进行研究,基于大量实验数据,应用多元线性回归分析理论,建立了支撑剂导流能力与其主要影响因素之间的相关关系,并拟合出相关公式。多元线性回归公式与实验室实测结果进行对比,复相关系数为0.994 6,基本满足工程应用的需求。可为玛湖砂砾岩储层导流能力的确定以及支撑剂的优选提供参考。
Due to the large reserves, low permeability and the other characteristics of tight oil reservoirs, horizontal well staged fracturing technique is usually used in the field to enhance the oil recovery. While the determination of the conductivity of the flow after the fracturing often requires a lot of time and experimentation. From the viewpoints of the probability and statistical analyses, the various influencing factors of the conductivity were analyzed. After comparing the weights, it is found that the closure pressure, proppant particle size and sanding concentration have significant effects on the conductivity. And furthermore, the experimental scheme was optimized, and the significant influencing factors of the conductivity were studied. Based on a large number of the experimental data, the multivariate linear regression analyzing theory was applied to establish the correlation between the proppant conductivity and its main influencing factors, and moreover the relevant formula was fitted. It has been verified that the multiple linear regression formula is compared with the laboratory test results,the complex correlation coefficient is 0.994 6, which basically meets the needs of the engineering application. It can provide reference values for the determination of the conductivity of Mahu glutenite reservoir and the optimization of the proppant.

关键词(KeyWords): 致密油储层;支撑剂;导流能力;正交试验设计;多元线性回归
tight oil reservoir;proppant;conductivity;orthogonal experimental design;multiple linear regression

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目“基于Hybrid数据的复杂系统辨识与优化设计及在低渗透油井中的应用”(61572084);; 国家“十三五”重大专项项目“CO2驱油藏全生命周期举升工艺及配套技术研究”(2016ZX05056004-002);国家“十三五”重大专项项目“准噶尔盆地致密油开发示范工程”(2017ZX05070)

作者(Author): 张静娴,许冬进,廖锐全
ZHANG Jingxian,XU Dongjin,LIAO Ruiquan

DOI: 10.19597/j.issn.1000-3754.201904058

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