Petroleum Exploration and Development >

2020 , Vol. 47 >Issue 2: 365 - 373

DOI: https://doi.org/10.1016/S1876-3804(20)60053-2

RESEARCH PAPER

Productivity simulation of hydraulically fractured wells based on hybrid local grid refinement and embedded discrete fracture model

  • Dawei ZHU ,
  • Yongle HU ,
  • Mingyue CUI ,
  • Yandong CHEN ,
  • Chong LIANG ,
  • Wenxin CAI ,
  • Yanhui HE ,
  • Xiaoyong WANG ,
  • Hui CHEN ,
  • Xiang LI
Expand
  • 1. PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, China
    2. Halfaya Project, Middle East Company, PetroChina, Beijing 100034, China
    3. Peking University, Beijing 100871, China

Received date: 2019-07-09

  Revised date: 2020-01-16

  Online published: 2020-05-08

Supported by

Supported by the China National Science and Technology Major Project(2017ZX05030)

Fold

Abstract

Using current Embedded Discrete Fracture Models (EDFM) to predict the productivity of fractured wells has some drawbacks, such as not supporting corner grid, low precision in the near wellbore zone, and disregarding the heterogeneity of conductivity brought by non-uniform sand concentration. An EDFM is developed based on the corner grid, which enables high efficient calculation of the transmissibility between the embedded fractures and matrix grids, and calculation of the permeability of each polygon in the embedded fractures by the lattice data of the artificial fracture aperture. On this basis, a coupling method of local grid refinement (LGR) and embedded discrete fracture model is designed, which is verified by comparing the calculation results with the Discrete Fracture Network (DFN) method and fitting the actual production data of the first hydraulically fractured well in Iraq. By using this method and orthogonal experimental design, the optimization of the parameters of the first multi-stage fractured horizontal well in the same block is completed. The results show the proposed method has theoretical and practical significance for improving the adaptability of EDFM and the accuracy of productivity prediction of fractured wells, and enables the coupling of fracture modeling and numerical productivity simulation at reservoir scale.

Key words： hydraulic fracturing; grid refinement; embedded discrete fracture method; reservoir numerical simulation; productivity prediction; parameters optimization

Cite this article

Dawei ZHU , Yongle HU , Mingyue CUI , Yandong CHEN , Chong LIANG , Wenxin CAI , Yanhui HE , Xiaoyong WANG , Hui CHEN , Xiang LI . Productivity simulation of hydraulically fractured wells based on hybrid local grid refinement and embedded discrete fracture model[J]. Petroleum Exploration and Development, 2020 , 47(2) : 365 -373 . DOI: 10.1016/S1876-3804(20)60053-2

References

[1] JIA Chengzao, ZHENG Min, ZHANG Yongfeng . Unconventional hydrocarbon resources in China and the prospect of exploration and development. Petroleum Exploration and Development, 2012,39(2):129-136.
[2] CHEN Qilin, DENG Yilin, WEI Jun , et al. Types, distribution and play targets of Lower Cretaceous tight oil in Jiuquan Basin, NW China. Petroleum Exploration and Development, 2018,45(2):212-222.
[3] NELSON P H . Pore-throat sizes in sandstones, tight sandstones, and shales. AAPG Bulletin, 2009,93(3):329-340.
[4] ZHANG Fudong, LI Jun, WEI Guoqi , et al. Formation mechanism of tight sandstone gas in areas of low hydrocarbon generation intensity: A case study of the Upper Paleozoic in North Tianhuan depression in Ordos Basin, NW China. Petroleum Exploration and Development, 2018,45(1):73-81.
[5] HU Suyun, ZHU Rukai, WU Songtao , et al. Profitable exploration and development of continental tight oil in China. Petroleum Exploration and Development, 2018,45(4):737-748.
[6] JIANG Ruizhong, XU Jianchun, FU Jianbin . Multistage fractured horizontal well numerical simulation and application for tight oil reservoir. Journal of Southwest Petroleum University (Natural Science Edition), 2015,37(3):45-52.
[7] FAN Jianming, YANG Ziqing, LI Weibing , et al. Assessment of fracturing treatment of horizontal wells using SRV technique for Chang-7 tight oil reservoir in Ordos Basin. Journal of China University of Petroleum (Natural Science Edition), 2015,39(4):103-110.
[8] WANG Wendong, SU Yuliang, MU Lijun , et al. Influencing factors of simulated reservoir volume of vertical wells in tight oil reservoirs. Journal of China University of Petroleum (Natural Science Edition), 2013,37(3):93-97.
[9] JIANG Longyan, XUN Xiaoquan, WANG Nan , et al. Non-steady state productivity evaluation model of volume fracturing for vertical well in tight oil reservoir. Fault-Block Oil & Gas Field, 2015,22(1):82-84.
[10] SHI Xiaodong . Productivity forecast of vertical well with multi-layer network fracturing in tight oil reservoir. Special Oil and Gas Reservoirs, 2017,24(1):124-127.
[11] BARENBLATT G I, ZHELTOV I P, KOCHINA I N . Basic concepts in the theory of seepage of homogeneous liquids in fissured rocks [strata]. Journal of Applied Mathematics and Mechanics, 1960,24(5):1286-1303.
[12] WARREN J E, ROOT P J . The behavior of naturally fractured reservoirs. Society of Petroleum Engineering Journal, 1963,3(3):245-255.
[13] THOMAS L K, DIXON T N, PIERSON R G . Fractured reservoir simulation. Society of Petroleum Engineers Journal, 1983,23(1):42-54.
[14] GHORAYEB K, FIROOZABADI A . Numerical study of natural convection and diffusion in fractured porous media. Society of Petroleum Engineers Journal, 2000,5(1):12-20.
[15] LYU Xinrui, YAO Jun, HUANG Zhaoqin , et al. Study on discrete fracture model two-phase flow simulation based on finite volume method. Journal of Southwest Petroleum University (Natural Science Edition), 2012,34(6):123-130.
[16] YAO Jun, WANG Zisheng, ZHANG Yun , et al. Numerical simulation method of discrete fracture network for naturally fractured reservoirs. Acta Petrolei Sinica, 2010,31(2):284-288.
[17] YANG Jian, LYU Xinrui, LI Jianglong , et al. Study on discrete fracture network random generation and numerical simulation of fractured reservoirs. Petroleum Geology and Recovery Efficiency, 2011,18(6):74-77.
[18] ZHANG Qingfu, HUANG Zhaoqin, YAO Jun , et al. Multiscale embedded discrete fracture modeling method. Chinese Journal of Computational Mechanics, 2018,35(4):507-513.
[19] MOINFAR A, VARAVEI A, SEPEHRNOORI K , et al. Development of a coupled dual continuum and discrete fracture model for the simulation of unconventional reservoirs. SPE 163647-MS, 2013.
[20] MOINFAR A, VARAVEI A, SEPEHRNOORI K , et al. Development of an efficient embedded discrete fracture model for 3D compositional reservoir simulation in fractured reservoirs. Society of Petroleum Engineers Journal, 2014,19(2):289-303.
[21] LI X, ZHANG D X . A multi-continuum multiple flow mechanism simulator for unconventional oil and gas recovery. Journal of Natural Gas Science & Engineering, 2015,26:652-669.
[22] PALAGI C L, AZIZ K . Modeling vertical and horizontal wells with voronoi grid. SPE Reservoir Engineering, 1994,9(1):15-21.
[23] LEE S H, LOUGH M, JENSEN C . Hierarchical modeling of flow in naturally fractured formations with multiple length scales. Water Resources Research, 2001,37(3):443-455.
[24] LI L, LEE S H . Efficient field-scale simulation of black oil in a naturally fractured reservoir through discrete fracture networks and homogenized media. SPE Reservoir Evaluation & Engineering, 2008,11(4):750-758.
[25] KNUTANDREAS L. The Matlab reservoir simulation toolbox (MRST). ( 2019 -06-28)[2019-11-20]. https://www.sintef.no/projectweb/mrst/.
[26] YAN X, HUANG Z Q, YAO J . An efficient embedded discrete fracture model based on mimetic finite difference method. Journal of Petroleum Science and Engineering, 2016,145:11-21.
[27] SHAO R J, DI Y . An integrally embedded discrete fracture model with a semi-analytic transmissibility calculation method. Energies, 2018,11(12):3491.
[28] CAVALCANTE FILHO J S D A, SEPEHRNOORI K . Simulation of planar hydraulic fractures with variable conductivity using the embedded discrete fracture model. Journal of Petroleum Science and Engineering, 2017,153:212-222.
Options
Outlines

/

〈 〉

Copyright © Petroleum Exploration and Development
Address:P. O. Box 910, No.20 Xueyuan Road, Haidian District, Beijing 100083, China
Powered by Beijing Magtech Co. Ltd.