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Research on Fracturing Well Selection and Layer Selection Method Based on Fine Numerical Simulation and Data Mining

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Chemistry and Technology of Fuels and Oils Aims and scope

Fracturing stimulation plays an important role in providing high and stable production and oil and water control in oil wells in the high water cut and extra-high water cut stages. To optimize the wellbore fracturing potential, it is necessary to study the influence of different factors on fracturing, based on the analysis of the remaining oil potential in the block. In this paper, the precise dynamic and static parameters affecting fracturing are obtained using a fine reservoir numerical simulation technology, which provides accurate and reliable parameter data for the well and layer selection method. Based on the data mining technology, the research of fracturing well selection method includes the correlation analysis of various factors affecting fracturing, cluster analysis between various factors, weight evaluation of each factor to the fracturing effect, determination of the range of optimum parameters, and the final analysis of the oil well fracturing potential. The application results show that the method has high accuracy and can play a guiding role in the application of oil well fracturing operations.

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Acknowledgments

This study was supported by “Study on the Mechanism of Fracture-Flooding in Class III Oil Reservoirs” (DQYT-0513003-2018-JS-518), “Study on Water Invasion Mechanism and Seepage Law of Deep Water Gas Reservoir” (2019YDL-08), and “Research on Optimization Method of Oilfield Injection Production Strategy Based on Intelligent Optimization Algorithm” (2020YDL-25).

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Authors and Affiliations

  1. School of Petroleum Engineering, Northeast Petroleum University, Daqing, 163318, China

    Ji-qiang Zhi, Yi-kun Liu, Guo-hui Qu & Xu Wang

  2. School of Electrical Engineering @ Information, Northeast Petroleum University, Daqing, 163318, China

    Nan Jiang

Authors
  1. Ji-qiang Zhi
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  2. Yi-kun Liu
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  3. Nan Jiang
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  4. Guo-hui Qu
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  5. Xu Wang
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Corresponding author

Correspondence to Nan Jiang.

Additional information

Translated from Khimiya i Tekhnologiya Topliv i Masel, No. 2, pp. 73 – 78, March – April, 2021.

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Zhi, Jq., Liu, Yk., Jiang, N. et al. Research on Fracturing Well Selection and Layer Selection Method Based on Fine Numerical Simulation and Data Mining. Chem Technol Fuels Oils 57, 324–334 (2021). https://doi.org/10.1007/s10553-021-01252-9

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  • DOI: https://doi.org/10.1007/s10553-021-01252-9

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