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Issue:ISSN 1006-5539
          CN 51-1183/TE

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    Your Position :Home->Past Journals Catalog->2016 Vol.5

    Water-Flooded Zone Evaluation Method of Saturated Hydrocarbon Logging Based on Oil-Water Displacement Experiment
    Author of the article:Song Yanjie, Hou Lin, He Xu, Shen Xiaoyan, Hu Huiting
    Author's Workplace:1.College of Geo-science, Northeast Petroleum University;2.Accumulation and Development of Unconventional Oil and Gas, State Key Laboratory Cultivation Base Jointly- Constructed by Heilongjiang Province and the Ministry of Science and Technology; 3.The First Production Plant of Jiangsu Oilfield of SINOPEC
    Key Words:Saturated hydrocarbon; Oil-water displacement experiment; Water flooded zone; Sensitive parameters; Chart
    Abstract:

    Since the parameters obtained from saturated hydrocarbon mud logging technology are not affected by formation water salinity and reservoir heterogeneity, it can be more intuitive and accurate in determining watered-out degree of oil zones. G area in Jiangsu oilfield has stepped into a high water cut stage under years of water flood development, so the evaluation of water flooded zones has become more and more important. Based on the analysis of saturated hydrocarbon parameters of 28 core samples of different water production rate obtained from oil-water displacement experiment, the analysis shows that saturated hydrocarbon peak shapes change from normal to flat, and saturated hydrocarbon total area As decreases, and the parameters of CPr+Ph and CPr /Cnc17  increase with the increase of water production rate. Based on the experimental analysis, the parameters of CPr+Ph , CPr /Cnc17 and saturated hydrocarbon total area are selected as the sensitive parameters of water-flooded zones in G area. Then, sidewall cores of oil testing wells and brought-in wells are used to build qualitative identification charts of water flooded zones with the plot of CPr /Cnc17 versus total area and the plot of CPr+Ph versus total area. The identification charts are applied to actual well data, and the identification results are consistent with the test results.


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