考虑多尺度裂缝表征的致密油藏CO2吞吐智能历史拟合
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张道伟(1996—),男,湖北武汉人,在读博士研究生,从事非常规油气渗流模拟研究。E-mail:13517259746@163.com。

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中国石油科技创新基金项目“致密砂岩油藏低盐度水驱提高采收率机理研究”(2020D-5007-0203),中国石油大学(北京)科研基金项目“基于大数据和机器学习的裂缝性油藏产能预测研究”(2462018QZDX13)、“具有油藏物理意识的深度神经网络研究”(2462021YXZZ010)和“微纳米孔隙油气流动微尺度效应”(2462020YXZZ028),北京市自然科学基金面上项目“基于深度学习方法的致密气渗流高效随机模拟研究”(3222037)。


Intelligent history matching of CO2 huff-n-puff in tight oil reservoirs considering multi-scale fracture characterization
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    摘要:

    致密油藏经过体积压裂形成多尺度复杂缝网,强非均质性使储层参数不确定性显著增强,精确表征裂缝和降 低储层参数不确定性对精确建立油藏数值模拟模型非常重要。为此,建立了基于嵌入式离散裂缝模型的致密油藏CO2吞吐数值模拟方法,有效表征了致密油藏压裂后的多尺度复杂缝网;结合集合卡尔曼滤波方法,对致密油藏CO2吞吐生产数据进行了智能历史拟合,估计了储层物性和压裂裂缝参数,降低了模型参数的不确定性。结果表明,基于嵌入式离散裂缝的致密油藏模拟模型能精确表征多尺度复杂缝网,适用于处理压裂后致密油藏复杂裂缝的情况。经过等效处理的多尺度介质模型计算得到的产量曲线存在伪顶点和真实顶点,与实际致密油藏CO2吞吐生产规律认识一致;经过集合卡尔曼滤波智能历史拟合方法多次迭代拟合后,初始实现的多尺度裂缝介质模型集合参数曲线收敛性增强,J1井和J2井模拟预测产量与生产历史拟合效果良好。

    Abstract:

    The multi-scale complex fracture networks are formed by volume fracturing in tight oil reservoirs. At the same time,the uncertainty of reservoir parameters is significantly enhanced due to the strong heterogeneity. It is very important to accurately characterize fractures and reduce the uncertainty of reservoir parameters for building an accurate reservoir numerical simulation model. Therefore,a numerical simulation model for CO2 huff-n-puff in tight oil reservoirs was constructed according to the embedded discrete fracture model(EDFM). By doing this,the multi-scale complex fracture network of tight oil reservoirs after fracturing was effectively characterized. With the ensemble Kalman filter(EnKF)method,the intelligent historical matching was carried out for CO2 huff-n-puff production data of tight oil reservoirs,and the physical properties and fracture parameters of reservoirs were estimated,which reduced the uncertainty of model parameters. The results show that the EDFM-based simulation model for tight oil reservoirs can accurately characterize multi-scale complex fracture networks and is suitable for treating complex fractures in tight oil reservoirs after fracturing. Pseudo-and real-vertices exist in the production curve calculated by the multi-scale medium model after effective medium treatment,which is consistent with the actual CO2 huff-n-puff production law of tight oil reservoirs. Upon repeated iterative matching with the EnKF intelligent history matching method,the convergence of the ensemble parameter curve of the initially realized multi-scale fractured medium model is enhanced,and the simulated production and production history of two horizontal wells,i.e.,Well J1 and Well J2,are well matched.

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张道伟,戴城,陈硕思,薛亮,刘月田.考虑多尺度裂缝表征的致密油藏CO2吞吐智能历史拟合[J].油气地质与采收率,2022,29(1):160~167

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  • 在线发布日期: 2022-03-30