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张彩旗, 潘广明, 吴金涛, 李浩, 屈继峰. 渤海普Ⅱ类稠油过渡带弱凝胶驱增油预测模型[J]. 海洋石油, 2020, 40(1): 36-41. DOI: 10.3969/j.issn.1008-2336.2020.01.036
引用本文: 张彩旗, 潘广明, 吴金涛, 李浩, 屈继峰. 渤海普Ⅱ类稠油过渡带弱凝胶驱增油预测模型[J]. 海洋石油, 2020, 40(1): 36-41. DOI: 10.3969/j.issn.1008-2336.2020.01.036
ZHANG Caiqi, PAN Guangming, WU Jintao, LI Hao, QU Jifeng. Increasing Oil Prediction Model for Weak Gel Flooding in the Transition Zone of Bohai Heavy Oil Reservoir[J]. Offshore oil, 2020, 40(1): 36-41. DOI: 10.3969/j.issn.1008-2336.2020.01.036
Citation: ZHANG Caiqi, PAN Guangming, WU Jintao, LI Hao, QU Jifeng. Increasing Oil Prediction Model for Weak Gel Flooding in the Transition Zone of Bohai Heavy Oil Reservoir[J]. Offshore oil, 2020, 40(1): 36-41. DOI: 10.3969/j.issn.1008-2336.2020.01.036

渤海普Ⅱ类稠油过渡带弱凝胶驱增油预测模型

Increasing Oil Prediction Model for Weak Gel Flooding in the Transition Zone of Bohai Heavy Oil Reservoir

  • 摘要: 为解决海上普Ⅱ类稠油(> 350 mPa·s)弱凝胶调驱应用实例少、增油潜力预测难度大的问题,基于渤海BN油田调驱矿场实践,利用数值模拟方法研究了弱凝胶调驱相对于天然能量(边水驱)开发的增油量与8个静态参数的相关关系,基于拉丁超立方实验方法建立均匀设计样本集,并采用多元回归方法建立了过渡带调驱增油潜力预测模型。模型适用于渤海相似普Ⅱ类稠油油田,参数范围为平均渗透率(1 000~9 000)×10-3 μm2、变异系数0.1~0.9、边水倍数1~20、注采井距100~500 m、净毛比0.2~1.0、地层原油黏度为200~1 000 mPa·s、油层厚度4~20 m、生产井距内含油边界距离0~200 m。模型预测增油量与实际产量相对误差平均为2.5%,满足工程应用精度要求。

     

    Abstract: To solve the problems of less application examples and more difficult increasing oil prediction for weak gel flooding in offshore heavy oil (> 350 mPa·s), an oil production potential prediction model was established using numerical simulation methods and multiple regression method based on the weak gel flooding practice of the BN oilfield. This model can reflect the relationship between the oil increase and the eight static parameters and a uniform design sample set was established by the Latin hypercube experimental method. Finally, the prediction model can be used in transition zones of similar heavy oil reservoirs. The parameters of reservoir range are (1 000~9 000)×10-3 μm2 of average permeability, 0.1~0.9 of variation system, 1~20 of side water multiple, 100~500 m of injection and production well spacing, 0.2~1.0 of net gross ratio, 200~1 000 mPa·s of formation crude oil viscosity, 4~20 m of layer thickness, 0~200 m of the distance between well and oil outside boundary. The model predicts that the relative average error between the oil increase and the actual production is 2.5%, which meets the engineering application accuracy requirements.

     

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