Research and improvement of statistical prediction methods of efficiency of hydrochloric acid treatments

Abstract

Abstract 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.