Reservoir Evaluation and Development ›› 2020, Vol. 10 ›› Issue (1): 37-42.doi: 10.13809/j.cnki.cn32-1825/te.2020.01.006

• Method and Theory • Previous Articles     Next Articles

An evaluation method of shale reservoir crushability based on grey correlation analysis

LONG Zhangliang1,WEN Zhentao2,LI Hui3,ZENG Xianwei4   

  1. 1. Research Institute of Petroleum Engineering, Sinopec Southwest China Oil and Gas Company, Deyang, Sichuan 618000, China
    2. Research Institute of Exploration and Production, Sinopec Southwest China Oil and Gas Company, Chengdu, Sichuan 610500, China
    3. Shale Gas Project Department, Sinopec Southwest China Oil and Gas Company, Chongqing 610500, China
    4. 141 geological team, Sichuan Coal Field Bureau, Deyang, Sichuan 618000, China
  • Received:2019-03-18 Online:2020-02-26 Published:2020-02-04

Abstract:

The crushability evaluation of shale reservoir is a complex system engineering. But as there are many parameters that affect the reservoir crushability, including the reservoir basic geological parameters, the rock mechanics, the formation pressure, the in-situ stress and the engineering technology, and the main influencing factors of different gas fields are different, multiple round of pilot tests are needed just to find out the main control factors affecting the productivity in complex working areas. Until now, there is no unified and authoritative evaluation method for shale reservoir crushability in China, it is extremely urgent to complete this task. Therefore, a method for shale gas reservoir crushability evaluation based on grey correlation analysis is proposed. This method has the advantages that it can quickly identify the main control sensitive parameters that affect the production. The correlation of the parameters is strong. And the production after fracturing can be predicted according to the sensitive parameters. With the increase of the number of developed wells, the prediction accuracy will be higher. In the gas field, the main control sensitive parameters can be adjusted by the optimization of engineering process, so as to further improve the fracturing effect.

Key words: shale gas, reservoir crushability, grey correlation, wain control sensitive parameter, fracturing comprehensive index

CLC Number: 

  • TE357