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Geoscience ›› 2021, Vol. 35 ›› Issue (06): 1880-1890.DOI: 10.19657/j.geoscience.1000-8527.2021.192

• Petroleum Geology • Previous Articles    

Hydraulic Parameter Optimization of Dual Horizontal Well in Tight Oil Reservoirs

HU Jinghong1,2(), CHEN Qi3(), YU Guoyi4, LÜ Yang5   

  1. 1. School of Energy Resources, China University of Geosciences, Beijing 100083, China
    2. Beijing Key Laboratory of Unconventional Natural Gas Geology Evaluation and Development Engineering, Beijing 100083, China
    3. The First Oil Production Plant of Xibei Oilfield Company, Luntai,Xinjiang 841600, China
    4. China National Oil and Gas Exploration and Development Co. Ltd. (CNODC), Beijing 100034, China
    5. The Fifth Gas Production Plant of Changqing Oilfield Company, Xi'an, Shaanxi 710018,China
  • Received:2021-03-10 Revised:2021-06-07 Online:2021-12-10 Published:2022-02-14
  • Contact: CHEN Qi

Abstract:

Multi-stage fractured horizontal wells can effectively increase well production in tight oil reservoirs, and the use of dual horizontal wells could enhance the production efficiently. Based on the seepage mechanics theory, the fluid flow mechanisms for fractured dual horizontal wells were analyzed. Accordingly, a numerical model for segmented fractured dual horizontal wells in reservoir-fracture system (considering the initial pressure effect) was developed. Meanwhile, the grid encryption and the control variable methods were adopted. The influence of geological and engineering factors on the production of dual horizontal wells were calculated and analyzed. The results show that the geological factors of matrix porosity and permeability have dominating impact on single-well production after fracturing, while the engineering factors of horizontal well length and fracture conductivity have immense effect on well production. This study has practical and guiding significance for the theory and optimal design of dual horizontal well fracturing in tight oil reservoirs.

Key words: dual horizontal well, multi-stage fracturing, initial pressure gradient, numerical model, sensitivity analysis

CLC Number: