基于注采数据的井间渗透率估算方法

发布时间：2018-03-31 15:59

本文选题：井间渗透率　切入点：注水量分配系数　出处：《油气地质与采收率》2017年02期

【摘要】：井间渗透率的确定可用于油藏描述及储层平面非均质性评价,对油田开发决策有着非常重要的意义。估算井间渗透率的常规方法为生产动态测试,由于操作复杂、价格昂贵,其应用受到一定限制。针对该问题,利用水电相似原理,建立井间渗透率与注水量分配系数的关系式,结合能够获取注水量分配系数的容阻模型,提出一种利用注采数据估算井间渗透率的新方法。运用数值概念模型验证了该方法的有效性,并将其应用于渤中25南油田E07井组。结果表明,油井E18方向井间渗透率估算值最大,与示踪剂监测中油井E18方向前缘推进速度最快相符,另外,该方向井间渗透率估算值为5 192×10~(-3)μm~2,与示踪剂解释结果5 616×10~(-3)μm~2基本一致。所提出的方法将容阻模型的应用范围从注水量分配系数的估计拓展到井间渗透率的估算,可更为简便快捷地研究油藏平面非均质性。
[Abstract]:The determination of cross-well permeability can be used for reservoir description and reservoir plane heterogeneity evaluation, which is of great significance to oilfield development decision. The conventional method for estimating cross-well permeability is production dynamic testing, which is expensive because of complicated operation. Its application is limited. In view of this problem, by using the principle of hydropower similarity, the relationship between cross-well permeability and water injection distribution coefficient is established, combined with the capacitive resistance model, which can obtain the distribution coefficient of water injection rate. A new method for estimating cross-well permeability using injection-production data is proposed. The validity of the method is verified by using the numerical conceptual model and applied to the E07 well group in Bozhong 25 South Oilfield. The results show that, The estimated cross-well permeability in the E18 direction of the oil well is the largest, which is consistent with the fastest advance speed of the oil well E18 direction in the tracer monitoring. The estimated cross-well permeability in this direction is 5 192 脳 10 ~ (-3) 渭 m ~ (-2), which is consistent with the tracer interpretation result (5 616 脳 10 ~ (10 ~ (-3)) 渭 m ~ (2)). The proposed method extends the application range of the capacitive resistance model from the estimation of water injection distribution coefficient to the estimation of cross-well permeability. It is more convenient and quick to study reservoir plane heterogeneity.
【作者单位】：中国石油大学(北京)石油工程教育部重点实验室;中海油能源发展股份有限公司工程技术分公司;
【基金】：国家科技重大专项“基于各向异性的特低渗透油藏井网优化与注采调控技术研究”(2016ZX05013002-001) 国家自然科学基金项目“页岩气藏各向异性压力敏感数值模拟研究”(51374222)
【分类号】：TE32

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