王清辉, 朱明, 冯进, 管耀, 侯博恒. 基于渗透率合成技术的砂岩油藏产能预测方法[J]. 石油钻探技术, 2021, 49(6): 105-112. DOI: 10.11911/syztjs.2021122
引用本文: 王清辉, 朱明, 冯进, 管耀, 侯博恒. 基于渗透率合成技术的砂岩油藏产能预测方法[J]. 石油钻探技术, 2021, 49(6): 105-112. DOI: 10.11911/syztjs.2021122
WANG Qinghui, ZHU Ming, FENG Jin, GUAN Yao, HOU Boheng. A Method for Predicting Productivity of Sandstone Reservoirs Based on Permeability Synthesis Technology[J]. Petroleum Drilling Techniques, 2021, 49(6): 105-112. DOI: 10.11911/syztjs.2021122
Citation: WANG Qinghui, ZHU Ming, FENG Jin, GUAN Yao, HOU Boheng. A Method for Predicting Productivity of Sandstone Reservoirs Based on Permeability Synthesis Technology[J]. Petroleum Drilling Techniques, 2021, 49(6): 105-112. DOI: 10.11911/syztjs.2021122

基于渗透率合成技术的砂岩油藏产能预测方法

A Method for Predicting Productivity of Sandstone Reservoirs Based on Permeability Synthesis Technology

  • 摘要: 利用常规测井资料准确计算钻杆地层测试(DST)渗透率,能够大幅提高海上非均质砂岩油藏产能预测精度。为此,综合考虑惠州凹陷宏观沉积成岩作用和微观孔隙结构对储层渗透率的影响,建立了不同类型储层绝对渗透率的测井解释模型。正演分析表明,射孔层段不同渗透率级差的储层对产能的贡献明显不同;对不同级别储层渗透率进行加权求和得到合成测井渗透率,并对权系数大小进行约束,突出优势储层对产能的贡献,建立了DST渗透率的回归拟合方程;采用差分进化算法进行迭代,得到DST渗透率计算方程的最优解。采用该方法对惠州凹陷72个油层产能进行预测,48个油层的产能大于100 m3/d,预测相对误差小于30%的油层占比90%;24个油层的产能为10~100 m3/d,相对误差小于50%的油层占比79%。研究结果表明,基于渗透率合成技术的砂岩油藏产能预测方法,能够为海上油田测试作业决策提供指导,降低勘探作业成本。

     

    Abstract: Using conventional logging data to accurately calculate the permeability of drill-stem test (DST) can greatly improve the accuracy of productivity predictions of offshore heterogeneous sandstone reservoirs. Based on this, the influence of sedimentary diagenesis and pore structure of Huizhou Sag on reservoir permeability were comprehensively considered from macroscopic and microscopic perspectives, respectively. In this work, a logging interpretation model of absolute permeability was built for different reservoir types. Forward analysis results show that reservoirs with different permeability contrast in perforated intervals have significantly different contributions to productivity.The synthetic logging permeability was calculated by weighted summation of permeability at different levels of the reservoir, and the weight coefficient was constrained to highlight the contribution of favorable reservoirs to productivity. An iterative analysis was performed with a differential evolution algorithm to yield the optimal solution of the equation. This method has been applied in 72 oil layers in Huizhou Sag for productivity prediction. The productivity from 48 layers was found greater than 100 m3/d, and the proportion of layers whose relative prediction errors within 30% was 90%. In addition, 24 layers had the productivity of 10–100 m3/d, among which the layers whose relative error was less than 50% accounted for 79% of the oil layers. This study indicates that the productivity prediction method based on permeability synthesis technology can guide the decision-making of offshore field tests and operations to reduce the exploration cost.

     

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