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

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    Your Position :Home->Past Journals Catalog->2022 Vol.3

    Research and application of evaluation method of interlayer pressure variation coefficient in multi-layer reservoirs
    Author of the article:CAI Hui, SHI Hongfu
    Author's Workplace:Bohai Petroleum Research Institute, CNOOC China Ltd., Tianjin Branch, Tianjin, 300459, China
    Key Words:Multi-layer reservoirs; Pressure difference; Lorentz curve; Normalization; Quantitative characterization
    Abstract:Pressure is one of the core contents in oil reservoir development. At present, material balance, pressure measurement, and well test analysis methods are used for the evaluation of oil reservoir pressure. The original formation pressure and bubble point pressure are used as the limit values to examine the overall formation pressure maintenance in the field. Currently, this evaluation method is too general and lacks the investigation and evaluation of the degree of pressure difference between small layers in the vertical direction. In fact, in the development process of heterogeneous reservoirs, the pressure difference between layers objectively exists and will gradually aggravate to restrict the improvement of oilfield development effects. The interlayer pressure difference degree has a great influence on the water flooding status and safety production of the vertical layers. In this paper, a method of evaluating reservoir interlayer pressure varia based on Lorentz curve is proposed by referring to economic Gini calculation method. Firstly, the test layers were standardized, then the pressure values were accumulated and summed, then the Lorentz curve of pressure difference degree was drawn. Finally, the pressure difference coefficient was calculated. This method can not only process big data, but also realize the normalized(0~1) quantitative characterization of the reservoir interlayer pressure variation coefficient, so as to provide intuitive support for the decisionmaking of injection and production optimization in oil field.
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