Abstract: Network fracturing is one of the key technologies to enhance the recovery of peripheral tight reservoir in Daqing. In order to explore and improve fracturing effect and economic benefit of fracture network fracturing, it is necessary to further study the influential factors of initial productivity. Aimed at the problem which the correlation degree between the initial production capacity and the influencing factors calculated by the method of traditional mathematical statistics is almost the same. The improved grey correlation analysis (IGCA) is applied to modifying the original model. To analyze the degree of correlation between initial production and effect factors after fracturing, determining the main influencing factors, and the correctness and practicability of this model was verified by examples. The research results show that，under the conditon that seepage field was not changed,it is necessary to improve the formation pressure and enlarge operation scale,so as to improve the network fracturing vertical well fracture network fracturing in tight oil reservoir. The method presents the reliable basis for fracturing design and result evaluation in tight oil reservoir.

Key words: Tight oil, Network fracturing, Improved grey correlation analysis, Initial productivity, Influencing factor

摘要： 缝网压裂技术是大庆油田开发外围致密油的关键技术之一，为了探索和提高缝网压裂的压裂效果和经济效益，必须进一步研究其初期产能的影响因素。针对传统的数理统计方法计算出的初期产能与各影响因素之间的相关度差别不大的问题，应用改进的灰色关联分析法，对原模型进行修正，分析了压后初期产能和各影响因素之间的相关程度，确定了主要影响因素，并通过实例验证了该模型的实用性与准确性。研究结果表明，在不改变地层渗流场的前提下，尽可能提高地层压力，加大施工规模，可提高致密油藏直井缝网压裂的效果。该方法为致密油直井缝网压裂方案的设计和效果评价提供了可靠的依据。

关键词: 致密油, 缝网压裂, 改进的灰色关联分析, 初期产能, 影响因素