Prediction of Heavy Oil Production Based on Geomechanical Analysis in Entire Lifecycle of SAGD

被引:0
|
作者
Li, Dengke [1 ,2 ]
Zhu, Shaowen [3 ]
Li, Yanchao [1 ,2 ]
Shen, Shijie [1 ,2 ]
Chen, Zupeng [1 ,2 ]
Ren, Zhanli [1 ,2 ]
Zhou, Yuxuan [1 ,2 ]
Gao, Yanfang [1 ,2 ]
机构
[1] Northwest Univ, Dept Geol, Xian, Peoples R China
[2] State Key Lab Continental Dynam, Xian, Peoples R China
[3] Chuandong Drilling Co, China Petr Chuanqing Drilling Engn Co Ltd, Quito, Ecuador
基金
中国国家自然科学基金;
关键词
geomechanics; heavy oil; output prediction; SAGD; thermal-fluid-solid coupling; volumetric strain; GRAVITY DRAINAGE;
D O I
10.1002/ese3.2005
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Steam-assisted gravity drainage (SAGD) technology is an essential means of efficient development of heavy oil, super heavy oil, oil sands, and other unconventional resources in the world. Accurate prediction and evaluation of heavy oil output during SAGD production is a key step of construction optimization design and economic evaluation. The traditional prediction model of heavy oil production does not fully consider many geomechanical factors, such as rock deformation and permeability dynamic evolution. In this paper, a new mathematical model of crude oil production-geomechanical coupling was established for three stages of the SAGD life cycle (steam chamber breakthrough stage, rising stage, and lateral dilation stage). The influence of the dynamic evolution of rock porosity and permeability on production was fully considered through the sensitivity coefficient of rock strain and permeability stress. It is found that the gap between the new model and the traditional model is larger when the strain and stress sensitivity of the reservoir body is larger. The value calculated by the conventional model is small when the reservoir dilates and large when the reservoir compresses. For Karamay heavy oil in Xinjiang, China, the steam breakout time predicted by the new model is 0.72, 1.50, 1.37, and 1.44 times the conventional model when the volumetric strain is 6%. The heavy oil production of Karamay, Xinjiang, China, Athabasca, and Cold Lake SAGD production areas in Canada was predicted. In the lateral dilation stage of the steam chamber, the predicted values of the model considering geomechanical factors were 1.44, 1.28, and 1.15 times the traditional model, respectively. This model can help field engineers obtain more accurate production of heavy oil and evaluate the significance of reservoir geomechanics in SAGD production.
引用
收藏
页码:344 / 354
页数:11
相关论文
共 50 条
  • [31] A New Prediction Method for Flashing Parameters in Heavy Oil Production by Steam Flooding
    Zhou, Yan
    Wang, Chunsheng
    Sun, Qiji
    CHEMISTRY AND TECHNOLOGY OF FUELS AND OILS, 2019, 54 (06) : 781 - 787
  • [32] Application of Inter-Well Connectivity Analysis with a Data-Driven Method in the SAGD Development of Heavy Oil Reservoirs
    Huang, Suqi
    Jia, Ailin
    Zhang, Xialin
    Wang, Chenhui
    Shi, Xiaomin
    Xu, Tong
    ENERGIES, 2023, 16 (07)
  • [33] Applications of data analysis techniques for oil production prediction
    Nguyen, HH
    Chan, CW
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2005, 18 (05) : 549 - 558
  • [34] Application of Neutron Activation Analysis for Heavy Oil Production Control
    Kornienko, Valeria
    Avtonomov, Petr
    WORLD CONFERENCE ON TECHNOLOGY, INNOVATION AND ENTREPRENEURSHIP, 2015, : 2451 - 2456
  • [35] Layered production prediction of oil wells based on ConvLSTMA
    Guo, Zhengyang
    Gao, Bingkun
    Zhou, Liuting
    Wang, Jianbo
    Xue, Yuxiang
    ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2024, 46 (01) : 10034 - 10044
  • [36] Experimental investigation of nitrogen-assisted SAGD in heavy-oil reservoirs: A two-dimensional visual analysis
    Li, Songyan
    Yu, Tingting
    Li, Zhaomin
    Zhang, Kaiqiang
    FUEL, 2019, 257
  • [37] Prediction of Oil Production Rate Using Vapor-extraction Technique in Heavy Oil Recovery Operations
    Ahmadi, M. A.
    Kashiwao, T.
    Bahadori, A.
    PETROLEUM SCIENCE AND TECHNOLOGY, 2015, 33 (20) : 1764 - 1769
  • [38] The origin, prediction and impact of oil viscosity heterogeneity on the production characteristics of tar sand and heavy oil reservoirs
    Larter, S.
    Adams, J.
    Gates, I. D.
    Bennett, B.
    Huang, H.
    JOURNAL OF CANADIAN PETROLEUM TECHNOLOGY, 2008, 47 (01): : 52 - 61
  • [39] Reservoir waters and based on them heavy brines application in oil production
    Kadyrov, R. R.
    Rabaev, R. U.
    Mukhametshin, V. Sh
    Shchetnikov, V., I
    Galiullina, I. F.
    Safiullina, A. R.
    Sagitova, Z. N.
    Stepanova, R. R.
    SOCAR PROCEEDINGS, 2022, (03): : 85 - 91
  • [40] Development of a catalyst based on metal tallates for intensification of heavy oil production
    Mukhamatdinov, Irek I.
    Saif, Saleem M. A.
    Ali, Mohammed O. N.
    Mukhamatdinova, Rezeda E.
    Affane, Boudkhil
    Vakhin, Alexey V.
    Tsvetkov, Sergey V.
    Protsenko, Alexander N.
    Volkov, Dmitry A.
    JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS, 2025, 189