Evaluation of fracture networks along fractured horizontal wells in tight oil reservoirs:A case study of Jimusar oilfield in the Junggar Basin

被引:0
|
作者
Chen Z. [1 ]
Chen H. [1 ]
Liao X. [1 ]
Zeng L. [1 ]
Zhou B. [1 ]
机构
[1] State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing
来源
Oil and Gas Geology | 2020年 / 41卷 / 06期
关键词
Dynamic inversion; Fractured horizontal well; Fractured network system; Jimusar area; Junggar Basin; Tight oil; Well test model;
D O I
10.11743/ogg20200617
中图分类号
学科分类号
摘要
Evaluation of fracture-network systems along fractured horizontal wells is vital to an efficient development of tight-oil reservoirs. Given the lack of efficient evaluation means, we propose a method based on the dynamic inversion theory for the evaluation of fracture networks along fractured horizontal wells in tight-oil reservoirs. To begin with, a mathematical model of well testing that takes into consideration the nonhomogeneous and insufficient fluid supply of the networks is developed based on seepage activities and fracture network geometry. The bottom pressure of wells is obtained through an analytical method from the mathematical model and then used to establish a method for evaluating the fracture-networks. Subsequently, a field application in Jimusar tight oil reservoirs in the Junggar Basin is performed to prove the reliability of the method. The results show that the flow stages in the fracture networks of horizontal wells in the reservoirs involve the wellbore storage and skin effects, fracture bilinear flow, formation linear flow as well as fluid channeling, linear and quasi-stable flow in stimulated areas. It is also found that after fracturing, networks composed of major hydraulic fractures with a half-length of 135 m and a conductivity of 118.87×10-3 μm2 are generated near wellbores. The storability of the minor fracture networks ranges between 6.30% and 17.99%, and the permeability of the stimulated areas is 100. 8×10-3 μm2. This study provides a theoretical basis for research works or operations such as reservoir parameter inversion, fracturing evaluation and dynamic monitoring of tight oil reservoirs in the Junggar Basin. © 2020, OIL & GAS GEOLOGY Editorial Board. All right reserved.
引用
收藏
页码:1288 / 1298
页数:10
相关论文
共 28 条
  • [1] Niu Xiaobing, Feng Shengbin, You Yuan, Et al., Fracture extension and distribution pattern of volume fracturing in tight reservoir: An analysis based on actual coring data after fracturing, Oil & Gas Geology, 40, 3, pp. 669-677, (2019)
  • [2] Du Shitao, Tian Jijun, Li Zhaoti, Et al., Permian shale gas reservoir characterization and favorable area identification in Junggar Basin, Special Oil & Gas Reservoirs, 25, 2, pp. 49-55, (2018)
  • [3] Fisher M K, Wright C A, Davidson B M, Et al., Integrating fracture-mapping technologies to improve stimulations in the barnett shale, Society of Petroleum Engineers. SPE Annual Technical Conference and Exhibition, (2002)
  • [4] Mayerhofer M J, Lolon E, Warpinski N R, Et al., What is stimulated rock volume?, Society of Petroleum Engineers. SPE Shale Gas Production Conference, (2008)
  • [5] Wang Huan, Liao Xinwei, Zhao Xiaoliang, Et al., Progress in simulation of SRV stimulation in unconventional reservoir, Special Oil and Gas Reservoirs, 21, 2, pp. 8-15, (2014)
  • [6] Cipolla C L, Lolon E P, Erdle J C, Et al., Modeling well performance in shale-gas reservoirs, SPE Journal, 13, 4, pp. 638-653, (2010)
  • [7] Harikesavanallur A K, Deimbacher F, Crick M V, Et al., Volumetric fracture modeling approach (VFMA): Incorporating microseismic data in the simulation of shale gas reservoirs, Society of Petroleum Engineers, (2010)
  • [8] Suliman B, Meek R, Hull R, Et al., Variable stimulated reservoir volume (SRV) simulation: Eagle ford shale case study, Society of Petroleum Engineers, (2013)
  • [9] Williams Michael J, Khadhraoui Bassem, Et al., Quantitative interpretation of major planes from microseismic event locations with application in production prediction, Society of Exploration Geophysicists, (2010)
  • [10] Hough P. V. C., method and means for recognizing complex patterns, (1962)