Numerical simulation method for multi-stage hydraulic fracturing based on modified dilation-recompaction model

被引:1
|
作者
Xianlin Ma
Xijia Chen
Jie Zhan
机构
[1] Xi’an Shiyou University,School of Petroleum Engineering
[2] MOE,Engineering Research Center of Development and Management for Low to Ultra
关键词
Multi-stage hydraulic fracturing; Dilation-recompaction; History-matching; Stimulated reservoir volume;
D O I
10.1007/s12517-022-09785-x
中图分类号
学科分类号
摘要
Multi-stage hydraulic fracturing in horizontal wells has been proven an effective stimulation method to enhance well performances from extremely low permeable reservoirs by creating a complex fracture network. The concept of stimulated reservoir volume (SRV) was introduced to quantify the complex fracture network. Knowledge of the SRV is important for the evaluation of the hydraulic fracturing performance and the estimation of hydrocarbon recovery. However, it is still a challenging topic to model the evolution of the SRV and estimate its properties because of the presence of fluid–solid complex interactions during the fracturing process. Most current SRV estimation methods are complex and computationally expensive. The paper applied a simple modified dilation-recompaction model to simulate the evolution of the effective SRV without representing the fracture geometry explicitly. By history matching production data of a multi-stage fractured horizontal well in Chang 8 formation of the YanChang oilfield, China, the calibrated dilation-recompaction model can successfully characterize the evolution of the generated SRV and estimate the rock properties of the fractured zones. The simulation results show that the total effective stimulated reservoir volumes amount to 88,375 m3. The shape of a fracture zone is nearly elliptical about 54 m wide and 20 m high surrounding a well perforation. The permeability of the zone reaches as high as 28 mD, centering around the wellbore and decreasing gradually outward.
引用
收藏
相关论文
共 50 条
  • [31] Numerical simulation of hydraulic fracturing: A hybrid FEM-based algorithm
    Wrobel, Michal
    Papanastasiou, Panos
    Peck, Daniel
    INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS, 2022, 46 (12) : 2268 - 2293
  • [32] Calculation method for multi-fracture propagation geometry of multi-stage fracturing in horizontal wells
    Chen M.
    Xu Y.
    Weng D.
    2016, Academia Sinica (35): : 3906 - 3914
  • [33] A coupled finite element method for the numerical simulation of hydraulic fracturing with a condensation technique
    Bao, J. Q.
    Fathi, E.
    Ameri, S.
    ENGINEERING FRACTURE MECHANICS, 2014, 131 : 269 - 281
  • [34] Optimizing Multi-Stage Hydraulic Fracturing Treatments for Economical Production in Permian Basin Using Machine Learning
    Wang, Yanfang
    Chen, Jianhua
    Kam, Seung
    Bao, Anqi
    20TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA 2021), 2021, : 1057 - 1062
  • [35] Experimental Study on Connection Characteristics of Rough Fractures Induced by Multi-Stage Hydraulic Fracturing in Tight Reservoirs
    Zhang, Yanjun
    Yan, Le
    Ge, Hongkui
    Liu, Shun
    Zhou, Desheng
    ENERGIES, 2022, 15 (07)
  • [36] Multi-stage hydraulic fracturing and radio-frequency electromagnetic radiation for heavy-oil production
    Davletbaev, A. Y.
    Kovaleva, L. A.
    Nasyrov, N. M.
    Babadagli, T.
    JOURNAL OF UNCONVENTIONAL OIL AND GAS RESOURCES, 2015, 12 : 15 - 22
  • [37] Staging optimization of multi-stage perforation fracturing based on unsupervised machine learning
    Zhang D.
    Yu Y.
    Li S.
    Chen Y.
    Xu J.
    Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science), 2021, 45 (04): : 59 - 66
  • [38] Numerical simulation of hydraulic fracturing process in a naturally fractured reservoir based on a discrete fracture network model
    Li, Yanyan
    Hu, Wei
    Zhang, Zhihong
    Zhang, Zhaobin
    Shang, Yanjun
    Han, Lili
    Wei, Siyu
    JOURNAL OF STRUCTURAL GEOLOGY, 2021, 147
  • [39] Numerical simulation and optimized physical design of a multi-stage reconnection gun
    School of Electrical and Electronic Engineering, Huazhong Univ. of Sci. and Technol., Wuhan 430074, China
    不详
    Binggong Xuebao, 2008, 6 (645-650):
  • [40] Numerical simulation of the thermal history of droplets during multi-stage atomization
    Liu, Yunzhong
    Chen, Zhenhua
    Wang, Jian N.
    SCIENCE AND TECHNOLOGY OF ADVANCED MATERIALS, 2001, 2 (01) : 177 - 180