Journal of Jilin University(Earth Science Edition) ›› 2018, Vol. 48 ›› Issue (5): 1330-1341.doi: 10.13278/j.cnki.jjuese.20170168

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Study on Flow Units of Turbidite Fan Low Permeability Reservoir Based on Support Vector Machine

Xu Shouyu1,2, Lu Yan1,2, Wang Ya1,2   

  1. 1. School of Geosciences, China University of Petroleum(East China), Qingdao 266580, China;
    2. Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, Shandong, China
  • Received:2018-01-19 Published:2018-11-20
  • Supported by:
    Supported by National Science and Technology Major Project (2017ZX05009001) and National Natural Science Foundation of China(41772138)

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Abstract: Due to the complexity of the formation mechanism of the turbidite reservoir, five principal factors were extracted through analysis on 13 parameters for reflecting the petrophysical, microscopic pore structural, sedimentary and heterogeneity characteristics of the reservoir. Then using the five principal factors as the input,the flow unit prediction model was established based on the support vector machine method. The model was used to test the predicting samples in Fan 29 block of Daluhu oilfield,and the accuracy rate of the results reached 90.38%.With the established prediction model, the flow unit of the single sand bed 441 in the study area was classified and evaluated, the prediction results were highly consistent with the qualitative analysis results. The flow unit classification well corresponded to the distribution of the sedimentary microfacies as the follows:the I-type and Ⅱ-type flow-units are the best quality reservoirs,that are developed only in the turbidity channel and lobe;the flow-unit of Ⅲ-type is widely distributed in the turbidity channel, channel edge,and the edge of middle fan;and the flow-unit IV is distributed in the edge of the fan. The studies suggest that the prediction model of flow units can be more comprehensive in consideration with the complex mapping relationship between the various geological factors and the flow units.

Key words: turbidite fan, flow units, factor analysis, support vector machine, reservoir, Daluhu oilfield

CLC Number: 

  • TE122.2
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