Xinjiang Petroleum Geology ›› 2023, Vol. 44 ›› Issue (1): 105-111.doi: 10.7657/XJPG20230115

• APPLICATION OF TECHNOLOGY • Previous Articles     Next Articles

Interpretation Methods for High-Resistivity Water Layer in Chang 8 Reservoir in Huachi-Nanliang Oilfield

ZHANG Demei1,2(), DUAN Chaowei2, LI Gaoren3, LI Yongsheng3, LU Jingwu4, LIN Weichuan2   

  1. 1. Changqing Branch,China National Logging Corporation,Xi’an,Shaanxi 710200,China
    2. Geological Research Institute,China National Logging Corporation,Xi’an,Shaanxi 710077,China
    3. Research Institute of Exploration and Development,Changqing Oilfield Company,PetroChina,Xi’an,Shaanxi 710018,China
    4. Materials and Equipment Company,China National Logging Corporation,Xi’an,Shaanxi 710200,China
  • Received:2021-08-16 Revised:2022-05-18 Online:2023-02-01 Published:2023-02-03

Abstract:

In the Chang 8 reservoir in Huachi-Nanliang oilfield of the Ordos basin,high-resistivity water layers are present,and the contrast between oil and water layers is low,making it difficult to identify oil layers. In order to accurately identify oil layers,based on logging data and petrophysical experiment results,the controlling factors of the high resistivity of water layers were determined. According to the logging response characteristics of different types of high-resistivity water layers,by using the data of neutron,density and acoustic logging,the pore structure in the reservoir was evaluated to identify high-resistivity water layers with complex pore structures. By using the cross-plot of neutron and density logging curves,resistivity was corrected,so as to enlarge the contrast between oil and water layers,and then to effectively identify high-resistivity water layers with complex wettability. Based on the analysis of the logging responses of high-resistivity water layers controlled by different factors,different techniques and methods were adopted to effectively identify these layers,and the accuracy of oil-water characteristic values in identification chart and the coincidence rate of logging interpretation have been improved.

Key words: high-resistivity water layer, controlling factor, pore structure, wettability, logging response characteristic, oil/water identification, coincidence rate of logging interpretation

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