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玛湖凹陷风城组薄互层分层压裂优化方法
引用本文:潘丽燕,阮东,惠峰,刘凯新,张敏,彭岩.玛湖凹陷风城组薄互层分层压裂优化方法[J].新疆石油地质,2022,43(2):221-226.
作者姓名:潘丽燕  阮东  惠峰  刘凯新  张敏  彭岩
作者单位:1.中国石油 新疆油田分公司 工程技术研究院,新疆 克拉玛依 8340002.中国石油集团 西部钻探工程有限公司 试油公司,新疆 克拉玛依 8340003.中国石油大学(北京) 石油工程学院,北京 102249
基金项目:国家自然科学基金(52004302);北京市自然科学基金(2194084)
摘    要:玛湖凹陷石油地质储量大,二叠系风城组储集层厚度大,油气显示佳,但薄互层岩性组合复杂,地应力变化大,需要精细分层压裂实现储量充分动用.基于数值模拟方法,研究多段储集层合压时压裂裂缝扩展的影响因素,为储集层压裂方案的选择提供依据.结果表明:储集层应力差对压裂裂缝扩展的影响最大,压裂液排量和黏度次之,储集层厚度比影响最小.基...

关 键 词:玛湖凹陷  风城组  薄互层  分层压裂  裂缝扩展  BP神经网络  决策模型
收稿时间:2021-08-10

Methods for Separate-Layer Fracturing Optimization of Thin Interbeds in Fengcheng Formation,Mahu Sag
PAN Liyan,RUAN Dong,HUI Feng,LIU Kaixin,ZHANG Min,PENG Yan.Methods for Separate-Layer Fracturing Optimization of Thin Interbeds in Fengcheng Formation,Mahu Sag[J].Xinjiang Petroleum Geology,2022,43(2):221-226.
Authors:PAN Liyan  RUAN Dong  HUI Feng  LIU Kaixin  ZHANG Min  PENG Yan
Affiliation:1. Research Institute of Engineering Technology, Xinjiang Oilfield Company, PetroChina, Karamay, Xinjiang 834000, China2. Formation Testing Company, Xibu Drilling Engineering Company Ltd., CNPC, Karamay, Xinjiang 834000, China3. School of Petroleum Engineering, China University of Petroleum, Beijing 102249, China
Abstract:In Mahu sag, where there is abundant oil in place, the reservoirs in Permian Fengcheng formation are thick and have revealed good oil/gas show. However, the thin interbeds are complex in lithological assemblages and greatly variable in in-situ stress, so fine separate-layer fracturing must be done to recover the reserves. Based on the numerical simulation method, the factors influencing fracture propagation during multi-layer fracturing were analyzed, providing a basis for rational selection of layers for multi-layer or separate-layer fracturing. The results show that the reservoir stress difference influences fracture propagation the most, followed by fracturing fluid displacement and viscosity, and the reservoir thickness ratio influences the least. Based on the BP neural network algorithm, machine learning was carried out on the numerical simulation results, and a multi-factor fine separate-layer fracturing decision-making model that considers both geological and engineering factors was established. Using this decision-making model, multi-layer or separate-layer fracturing prediction and fracturing parameter optimization were made for 6 wells in the Fengcheng formation on the Manan slope. Post-frac flowing production tests demonstrated that the daily oil production of some wells reached 10.34-32.37 t, and the average single-well production was increased by nearly 50% compared with the traditional fracturing process. The study results can provide effective guidance for the optimization of the fracturing process of thin interbeds in the Mahu sag.
Keywords:Mahu sag  Fengcheng formation  thin interbed  separate-layer fracturing  fracture propagation  BP neural network  decision-making model  
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