西南石油大学学报(自然科学版) ›› 2017, Vol. 39 ›› Issue (1): 63-72.DOI: 10.11885/j.issn.1674-5086.2015.07.18.01

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Facture Modeling Research of Tight Oil Reservoir Based on Fracture Propagation Inversion Model

TANG Mingming1, ZHANG Jinliang2   

  1. 1. Unconventional Oil & Gas and Renewable Energy Institute, China University of Petroleum, Qingdao, Shandong 266580, China;
    2. College of Resources Science & Technology, Beijing Normal University, Haidian, Beijing 100875, Beijing, China
  • Received:2015-07-18 Online:2017-02-01 Published:2017-02-01

Abstract: Fracture modeling of tight oil reservoir has become the focus of reservoir modeling technology. Because existing fracture modeling methods are mostly ignored the essential relationship between the law of fracture propagation and the distribution of fracture characteristics, and therefore impossible to give an effective information of fracture distribution. In this paper, we proposed one new fracture modeling method called stochastic extended finite element method, which is build based on fracture mechanics and multi-field Kriging method. This method established the fracture propagation inversion model firstly, based on law of fracture propagation and extended finite element method, by using annealing simulation method. Then, by integrating the Kriging system and fracture simulation system and using structure and imaging logging data, we constructed an multi-field Kriging estimation model. Finally, based on the stochastic extended finite element simulation method, we wrote a fracture modeling system software, and build the fracture propagation model and fracture distribution model of Upper Cretaceous Qingshankou Formation in Daqingzijing area. Simulation results have shown that the fracture modeling method based on stochastic extended finite element simulation could overcome the difficult of existing fracture modeling method, and improve the characterization precision of fractured reservoir.

Key words: fracture, modeling, stochastic extended finite element, propagation inversion, multi field trend

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