New Model for Production Prediction of Shale Gas Wells

被引:8
|
作者
Hu, Zhiming [1 ]
Li, Yalong [1 ,2 ]
Chang, Jin [1 ]
Duan, Xianggang [1 ]
Mu, Ying [1 ,2 ]
Xu, Yinging [1 ,2 ]
机构
[1] Res Inst Petr Explorat & Dev, Langfang 065007, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
关键词
RATE-DECLINE ANALYSIS; CURVE;
D O I
10.1021/acs.energyfuels.0c03051
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
In shale reservoirs, pores and fractures are developed, and the seepage mechanism is complicated. The gas well estimated ultimate recovery (EUR) is difficult to be determined. The existing methods are highly dependent on production data from shale gas wells, and they cannot accurately predict the EUR of a single well with little production data and a long production time. By combining the indoor depletion development simulation experiment with in situ production data, a new power function decline model of the daily gas production and production time was established. The production process of shale gas was divided into two stages: the fracture network control stage and the matrix control stage. During the fracture network control stage, both the daily gas production and the daily water production increased rapidly and then decreased rapidly, with large fluctuations. During the matrix control stage, the daily water production gradually decreased and approached zero, and the daily gas production exhibited a power function decrease. The calculation results of the model are highly consistent with the actual production decline curve of shale gas. This demonstrates that the simulation experiment can reflect the decrease in the actual production well. The established model can eliminate the uncertainty in EUR calculations caused by insufficient actual production data. The EURs of 25 wells in the Weiyuan area have been calculated for 4 consecutive years. The overall error between the EUR calculated by the model in 2017 and 2018 and the EUR of the development plan is less than 5%. Owing to the development process, the EUR calculation results tend to increase year-by-year. It should be noted that the late production of shale gas well is worthy of attention.
引用
收藏
页码:16486 / 16492
页数:7
相关论文
共 50 条
  • [1] An improved empirical model for rapid and accurate production prediction of shale gas wells
    Niu, Wente
    Lu, Jialiang
    Sun, Yuping
    [J]. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2022, 208
  • [2] Time series modeling for production prediction of shale gas wells
    Niu, Wente
    Lu, Jialiang
    Zhang, Xiaowei
    Sun, Yuping
    Zhang, Jianzhong
    Cao, Xu
    Li, Qiaojing
    Wu, Bo
    [J]. GEOENERGY SCIENCE AND ENGINEERING, 2023, 231
  • [3] An ensemble transfer learning strategy for production prediction of shale gas wells
    Niu, Wente
    Sun, Yuping
    Zhang, Xiaowei
    Lu, Jialiang
    Liu, Hualin
    Li, Qiaojing
    Mu, Ying
    [J]. ENERGY, 2023, 275
  • [4] A Production Prediction Method for Shale Gas Wells Based on Multiple Regression
    Niu, Wente
    Lu, Jialiang
    Sun, Yuping
    [J]. ENERGIES, 2021, 14 (05)
  • [5] Differentiation and Prediction of Shale Gas Production in Horizontal Wells: A Case Study of the Weiyuan Shale Gas Field, China
    Kang, Lixia
    Guo, Wei
    Zhang, Xiaowei
    Liu, Yuyang
    Shao, Zhaoyuan
    [J]. ENERGIES, 2022, 15 (17)
  • [6] Development of visual prediction model for shale gas wells production based on screening main controlling factors
    Niu, Wente
    Lu, Jialiang
    Sun, Yuping
    Guo, Wei
    Liu, Yuyang
    Mu, Ying
    [J]. ENERGY, 2022, 250
  • [7] Development of visual prediction model for shale gas wells production based on screening main controlling factors
    Niu, Wente
    Lu, Jialiang
    Sun, Yuping
    Guo, Wei
    Liu, Yuyang
    Mu, Ying
    [J]. Energy, 2022, 250
  • [8] A fractal production prediction model for shale gas reservoirs
    Geng, Lidong
    Li, Gensheng
    Wang, Minsheng
    Li, Ying
    Tian, Shouceng
    Pang, Wei
    Lyu, Zehao
    [J]. JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2018, 55 : 354 - 367
  • [9] A new method to production prediction for the shale gas reservoir
    Li, Ting
    Tan, Yongsheng
    Ahmad, Faraj A.
    Liu, Haiyan
    [J]. ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2020,
  • [10] A dynamic prediction model of pressure control production performance of shale gas fractured horizontal wells and its application
    Jia, Ailin
    Wei, Yunsheng
    Liu, Cheng
    Wang, Junlei
    Qi, Yadong
    Jia, Chengye
    Li, Bo
    [J]. Natural Gas Industry, 2019, 39 (06) : 71 - 80