Сергинское нефтяное месторождение является многопластовым. В статье приведен анализ обоснования выделения эксплуатационных объектов. Нефтеносность Сергинского месторождения по данным ГИС и испытаниям установлена в пластах Ю
The paper studies the apparatus of mathematical statistics for predicting the technological efficiency of hydrochloric acid treatments. The apparatus of mathematical statistics is quite widely used to process the results of measurements of field data, for example, during the assessment of the effectiveness of various methods of oil recovery increase.
As a result, we developed a method to predict the efficiency of the HAT for injection wells using power-law regression equations. With an accuracy satisfactory for field purposes (even in the presence of a sparsely representative sample of actual data), which ensures the prediction of the technological efficiency of production wells in terms of the amount of additional oil production and the value of its duration after the HAT on the adjacent injection wells, it was proposed to use regression equations of the second degree.
The article discusses the apparatus of mathematical statistics for predicting the technological effectiveness of hydraulic fracturing. The authors made an attempt to improve the methods for processing experimental data in the conditions of a small sampling. The main method used for solving this problem was the second-order regression equation in the form of a polynomial. The comparison of calculated and actual data on technological results for hydraulic fracturing based on the solution of second-order polynomial regression equations for different fields showed a high level of convergence, which allows us to conclude that the proposed methodology for constructing a regression equation in the form of a power polynomial is acceptable.
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