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Determination of well interaction degree based on integrated approach combining methods of well performance retrospective analysis and geochemical survey

UDK: 622.276.1/.4
DOI: 10.24887/0028-2448-2022-1-64-69
Key words: geochemistry; isotopic composition of water; well control optimization; hydrogeology of oil fields; modeling of oil fields; retrospective analysis
Authors: M.S. Shipaeva (Kazan (Volga Region)Federal University, RF, Kazan), D.K. Nurgaliev (Kazan (Volga Region)Federal University, RF, Kazan), V.A. Sudakov (Kazan (Volga Region)Federal University, RF, Kazan), A.A. Shakirov (Geoindicator LLC, RF, Kazan), A.A. Lutfullin (Tatneft PJSC, RF, Almetyevsk), L.I. Minihairov (Tatneft PJSC, RF, Almetyevsk), L.A. Zinurov (Sofoil LLC, RF, Kazan)

When developing small oil deposits related to formations with different reservoir properties, the following issues are relevant: 1) determination of the direction of injected water flows during the implementation of reservoir pressure maintenance systems; 2) maintenance of a rational value of injected/developed fluid ratio. As a practical example of determination of the direction of fluid flows from injection wells, it is proposed to conduct integrated studies of the geochemical properties of the formation fluid and the study of the conductivity of the interwell space based on a retrospective analysis of bottomhole pressure and production rate measurements. An integrated approach allows to reduce the uncertainty that arise in other methods of studying of the interwell space and give a more detailed and accurate conclusion. The essence of the integrated technology lies in the sequential geochemical analysis of wellhead samples, analysis of injection, production and reservoir pressure data, display of the results in a geological and reservoir simulation model. The advantage of the proposed technology is the combination of the results of geochemical surveys and retrospective analysis, which are inexpensive and quick methods. This will allow to quickly improve existing geological and reservoir simulation models, identify areas of low certainty of geological structure and significantly reduce the risks of unsuccessful wellwork.


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