新疆油田超稠油蒸汽吞吐产量递减率预测新方法
发布时间:2019-01-02 07:46
【摘要】:针对目前超稠油油藏常用递减率预测方法无法直接反映储集层关键参数的问题,基于递减理论和超稠油油藏蒸汽吞吐递减特征,结合油藏动态分析、数值模拟等方法对影响超稠油递减的主要因素进行敏感性分析,确定主控因素为有效厚度、原油黏度、注汽干度。运用模糊数学层次分析法确定递减影响因素权重,通过主控因素与初始递减率的相关性分析和多元回归,建立初始递减率预测模型和递减率预测图版。应用实例表明,该方法预测的超稠油蒸汽吞吐递减率与实际递减率相对误差小于5%。该研究为今后超稠油蒸汽吞吐合理产量预测奠定了基础。
[Abstract]:Aiming at the problem that the commonly used decline rate prediction method can not directly reflect the key parameters of reservoir at present, based on decline theory and steam huff and puff decline characteristics of super heavy oil reservoir, combined with reservoir performance analysis, The main factors influencing the decline of super heavy oil are analyzed by numerical simulation, and the main controlling factors are effective thickness, viscosity of crude oil and dry degree of steam injection. Fuzzy analytic hierarchy process (AHP) is used to determine the weight of decline influencing factors. Through the correlation analysis and multivariate regression between the main control factors and the initial decline rate, the prediction model of the initial decline rate and the prediction chart of the decline rate are established. The application example shows that the relative error between the steam huff and puff decline rate predicted by this method and the actual decline rate is less than 5. This study lays a foundation for the prediction of the reasonable output of steam huff and puff of super heavy oil in the future.
【作者单位】: 中国石油新疆油田分公司;
【基金】:国家科技重大专项“薄层稠油和超稠油开发技术”(2011ZX05012-004) 中国石油油气开发重大专项“浅层稠油、超稠油开发技术研究”(2012E-34-05)
【分类号】:TE345
本文编号:2398213
[Abstract]:Aiming at the problem that the commonly used decline rate prediction method can not directly reflect the key parameters of reservoir at present, based on decline theory and steam huff and puff decline characteristics of super heavy oil reservoir, combined with reservoir performance analysis, The main factors influencing the decline of super heavy oil are analyzed by numerical simulation, and the main controlling factors are effective thickness, viscosity of crude oil and dry degree of steam injection. Fuzzy analytic hierarchy process (AHP) is used to determine the weight of decline influencing factors. Through the correlation analysis and multivariate regression between the main control factors and the initial decline rate, the prediction model of the initial decline rate and the prediction chart of the decline rate are established. The application example shows that the relative error between the steam huff and puff decline rate predicted by this method and the actual decline rate is less than 5. This study lays a foundation for the prediction of the reasonable output of steam huff and puff of super heavy oil in the future.
【作者单位】: 中国石油新疆油田分公司;
【基金】:国家科技重大专项“薄层稠油和超稠油开发技术”(2011ZX05012-004) 中国石油油气开发重大专项“浅层稠油、超稠油开发技术研究”(2012E-34-05)
【分类号】:TE345
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