Statistical modeling improves efficiency of hydrochloric acid exposure in candidate wells, suggesting better oil production strategies.
The article presents the results of geological and statistical modeling of the process of hydrochloric acid exposure using the method of canonical correlations - the main tool for information processing, which is based on the theory of the presence of linear combinations between the variables under consideration. Hydrochloric acid treatment is one of the most commonly used methods to increase productivity, in particular in wells that have exposed deposits of carbonate reservoirs. Despite the fact that the mechanisms of interaction between the injected composition and rocks have been studied in sufficient detail, the average effectiveness of measures remains at a low level, due to the influence of geological heterogeneity. Based on the modeling data, it is proposed to use a combination of various efficiency parameters when selecting impact objects in order to reduce uncertainty in making management decisions, determining the technological parameters of measures to intensify oil production, taking into account the peculiarities of the geological structure of objects, geological and physical properties of formations, technological parameters of wells and deposits. As part of the study, the obtained models allow for flexible response when making decisions to changes in the market situation, which has a positive effect on the technical and economic performance of enterprises in the energy sector and can significantly increase the effectiveness of the impact, reasonably select candidate wells. The interpretation of various dependencies made it possible to qualitatively identify hidden patterns between groups of objects of the Devonian and Carboniferous ages of the Ural-Volga region.
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В Ш Мухаметшин (2024) studied this question.
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