许冬进,熊齐,吴应松,袁旭,陶振强,曲彦颖,王俊亭
XU Dongjin,XIONG Qi,WU Yingsong,YUAN Xu,TAO Zhenqiang,QU Yanying,WANG Junting

• 1:长江大学石油工程学院
• 2:油气钻采工程湖北省重点实验室

摘要(Abstract)：

支撑剂裂缝导流能力是储层水力压裂设计的重要参数。对于同一种支撑剂而言，闭合压力越大其形变和破碎现象就越明显，也影响裂缝导流能力。基于不同闭合压力条件下的破碎率与导流能力实验结果，建立了依据破碎率预测裂缝导流能力的方法；考虑5种影响因素，设计了破碎率与导流能力的正交试验，得到了其主控因素；针对实验结果，利用Matlab软件进行多元回归分析，得到不同粒径支撑剂导流能力预测方程。结果表明：闭合压力对支撑剂的破碎率、导流能力的影响最大，其次为支撑剂粒径、铺砂浓度、温度、闭合时间；新的支撑剂裂缝导流能力预测方法结果与实际测试结果平均误差仅为3.06%，预测结果较好；利用该方法进行导流能力预测可进一步降低实验成本。研究结果可为现场压裂设计支撑剂优选、导流能力预测以及降本增效提供技术参考。
Fracture conductivity of proppant is an important parameter for reservoir hydraulic fracturing design. For same proppant, the higher the closure pressure is, the more obvious the deformation and crushing phenomenon is, which also affects fracture conductivity. Based on experimental results of crushing rate and flow conductivity with different closure pressures, a method for predicting fracture conductivity is analyzed and established with the help of crushing rate. Considering 5 influencing factors, orthogonal experiment between crushing rate and flow conductivity is designed to obtain the main controlling factors. According to experimental results, Matlab software is used for multiple regression analysis to obtain flow conductivity prediction equation of proppants with different particle sizes.The results show that closure pressure has the most influence on crushing rate and flow conductivity of proppants, followed by proppant-particle size, sand concentration, temperature and closure time. The new method for proppant fracture conductivity prediction has average error of only 3.06% with actual test result. Using this method to predict flow conductivity can furtherly reduce experiment cost. The research provides technical reference for proppant optimization, flow conductivity prediction, cost reduction and efficiency increase in field fracturing design.

关键词(KeyWords)： 导流能力预测;支撑剂;影响因素;闭合压力;破碎率;正交试验
flow conductivity prediction;proppant;influencing factors;closure pressure;crushing rate;orthogonal experiment

Abstract:

Keywords:

基金项目(Foundation): 国家科技重大专项“大型油气田及煤层气开发”（2017X0507-004）

作者(Author): 许冬进,熊齐,吴应松,袁旭,陶振强,曲彦颖,王俊亭
XU Dongjin,XIONG Qi,WU Yingsong,YUAN Xu,TAO Zhenqiang,QU Yanying,WANG Junting

DOI: 10.19597/j.issn.1000-3754.202209049

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