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Method of Geomechanical Parameter Determination and Volumetric Fracturing Factor Simulation under Highly Stochastic Geologic Conditions

Author

Listed:
  • Dongmei Ding

    (Beijing Sunshine Geo-Tech Co., Ltd., Beijing 100192, China)

  • Yongbin Wu

    (Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, China)

  • Xueling Xia

    (Beijing Sunshine Geo-Tech Co., Ltd., Beijing 100192, China)

  • Weina Li

    (Beijing Sunshine Geo-Tech Co., Ltd., Beijing 100192, China)

  • Jipeng Zhang

    (School of Energy Resources, China University of Geosciences, Beijing 100083, China)

  • Pengcheng Liu

    (School of Energy Resources, China University of Geosciences, Beijing 100083, China)

Abstract

In order to accurately predict geomechanical parameters of oil-bearing reservoirs and influencing factors of volumetric fracturing, a new method of geomechanical parameter prediction combining seismic inversion, well logging interpretation and production data is proposed in this paper. Herein, we present a structure model, petrophysical model and geomechanical model. Moreover, a three-dimensional geomechanical model of a typical reservoir was established and corrected using history matching. On this basis, a typical well model was established, 11 influencing factors of volume fracturing including formation parameters and fracturing parameters were analyzed and their impact were ranked, and the oil recovery rate and the accumulated oil production before and after optimal fracturing were compared. The results show that with respect to formation parameters, reservoir thickness is the main influencing factor; interlayer thickness and stress difference are the secondary influencing factors; and formation permeability, Young’s modulus and Poisson’s ratio are the weak influencing factors. For a pilot well of a typical reservoir, the optimized fracture increased production by 7 tons/day relative to traditional fracturing. After one year of production, the method increased production by 4 tons/day relative to traditional fracturing, showing great potential in similar oil reservoirs.

Suggested Citation

  • Dongmei Ding & Yongbin Wu & Xueling Xia & Weina Li & Jipeng Zhang & Pengcheng Liu, 2022. "Method of Geomechanical Parameter Determination and Volumetric Fracturing Factor Simulation under Highly Stochastic Geologic Conditions," Energies, MDPI, vol. 16(1), pages 1-20, December.
    • Handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:312-:d:1017132
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    References listed on IDEAS

    as
    1. George Parapuram & Mehdi Mokhtari & Jalel Ben Hmida, 2018. "An Artificially Intelligent Technique to Generate Synthetic Geomechanical Well Logs for the Bakken Formation," Energies, MDPI, vol. 11(3), pages 1-26, March.
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