Xinjiang Petroleum Geology ›› 2022, Vol. 43 ›› Issue (4): 484-490.doi: 10.7657/XJPG20220416

• APPLICATION OF TECHNOLOGY • Previous Articles     Next Articles

Comprehensive Evaluation on Steam Chamber Location and Production Prediction of SAGD in Heavy Oil Reservoirs

GUO Yunfei1(), LIU Huiqing1(), LIU Renjie1, ZHENG Wei2, DONG Xiaohu1, WANG Wuchao1   

  1. 1. School of Petroleum Engineering,China University of Petroleum,Beijing 102249,China
    2. CNOOC Research Institute Co.,Ltd.,Beijing 100028,China
  • Received:2022-01-05 Revised:2022-03-30 Online:2022-08-01 Published:2022-07-26
  • Contact: LIU Huiqing E-mail:gyf_cup@163.com;liuhq@126.com

Abstract:

Production and steam chamber location are critical for steam assisted gravity drainage (SAGD) in heavy oil reservoirs. The existing prediction model only considers the lateral expansion of steam chamber and cannot predict the production of adjacent wells after steam chamber contact. According to the different characteristics of the steam chamber in the lateral expansion stage and the downward expansion stage, a parameter of thermal penetration depth was introduced, the flow potential function was modified, and a parabolic production prediction model was established. The results show that the production increases gradually in the initial lateral expansion stage of steam chamber, and then decreases due to the reduction of the inclination of the steam chamber interface; in the downward expansion stage of steam chamber, the production further decreases. The model analysis reveals that SAGD is more suitable for thick reservoir development, and the optimal well spacing needs to be determined depending on the oilfield conditions. The parabolic production prediction model takes the characteristics of the steam chamber into account in the downward expansion stage, and the accuracy of the model is verified by comparing with the previous experimental data.

Key words: heavy oil reservoir, steam assisted gravity drainage, steam chamber, prediction model, unsteady heat transfer, parabolic interface, thermal penetration depth, production prediction

CLC Number: