Purpose. The study aims to determine the technological properties and fractional composition of oil from various wells in the Druzhelyubivske oil and gas condensate field (Ukraine). Special attention is paid to predicting the structural and group composition to justify the choice of the most appropriate processing technologies. Methods. Standard analytical methods were employed to evaluate the physicochemical properties of the crude oil samples, including density, viscosity, water content, mechanical impurities, asphaltenes, resins, paraffins, and sulfur. Fractional distillation enabled the separation of oil into its light and heavy components. Experimental and statistical modeling were used to predict the structural composition based on key technical parameters. The average approximation errors, the coefficient of determination, and the Fisher criterion were used to assess the accuracy of the models. Findings. It was found that the crude oil samples possess the properties of light oil, including low viscosity, low water and impurity content, and a favorable fractionation profile for further processing. The developed statistical models demonstrated high accuracy in predicting the content of the main chemical components. The results obtained indicate the potential for utilizing combined technologies, specifically catalytic cracking and hydrotreating, to enhance the yield of valuable petroleum products. Originality. The work presents a comprehensive assessment of oil from the Druzhelyubivske field, which allows filling the gap in modern data on its composition and processing capabilities. For the first time, an approach to determining structural-group indicators (the content of paraffins, resins, and asphaltenes) based on physicochemical characteristics is pro-posed. The use of experimental and statistical modeling to predict these parameters is a new direction in optimizing technological solutions in oil refining. Practical implications. The results obtained enable us to develop an effective refining strategy tailored to the characteristics of the Druzhelyubivske oil field. The correct choice of refining technologies will contribute to increasing product yield, reducing costs, and increasing economic efficiency. The proposed approach also simplifies the methodology for assessing oil composition and accelerates decision-making on the further development of individual wells.

In this work, a mathematical model of the transfer process in a layer under the condition of given experimental data on a part of the layer boundary is presented and investigated. Such research is important for the mathematical description of the objects and systems for which, based on physical considerations, it is impossible to correctly impose boundary or initial conditions, even in a sufficiently general form, but there are experimental data on the desired function or its derivative at the boundary of the body or at the initial time. The values of the desired function at the boundary are known at certain moments in time. The boundary condition is constructed by the experimental data and the initial-boundary value problem, with such a boundary condition, is formulated and solved. The influence of the statistical characteristics of the sample of experimental data on the solution to the initial-boundary value problem is analyzed, and a two-sided statistical estimation of the solution is determined. The confidence intervals for the coefficients of the regression equation and the corresponding confidence intervals for the sought function are established. The influence of the statistical characteristics of the sample on the sought function at the lower boundary of the layer is investigated. Numerical analysis of the solution to the initial-boundary value problem is carried out depending on the statistical characteristics of the sample. Various cases of samples by size and variance are considered. Numerical solutions are studied under the conditions of large and small time intervals of the considered process.

The aim. Research on the peculiarities of the use of modern motivational tools by domestic employers in the pharmaceutical industry (including training and involvement of pharmaceutical specialists in social projects). Materials and methods. An anonymous online survey in the Google Form was conducted from April 3, 2021 to November 1, 2021 on the social network "Facebook" (including in four pharmaceutical groups of this network). Methods: analysis, synthesis, and generalization. Results of the research. The main motivating factors of respondents and the main motivational tools used by employers in the pharmaceutical industry have been identified. The state of training and education during professional activities and the evaluation of their effectiveness by respondents have been studied. Professional and motivational-psychological trainings are in the lead in the ranking of educational projects (75.2 % of respondents). The methods of evaluation of pharmaceutical specialists used by employers in the pharmaceutical industry have been generalized. The attitude of respondents to the participation of employers in the pharmaceutical industry in social and charitable projects has been studied. Most respondents (67.5 %) positively perceives the participation of employers in social and charitable projects, for some of them this is a motivational advantage when choosing a place of work. Conclusions. An online survey of 508 pharmaceutical professionals, conducted in a Google Form has allowed us to establish the features of current motivational approaches used today in pharmaceutical organizations and the attitude of respondents to them. It has been found that such motivational tools as trainings (innovative form of education) (55.1 %), as well as material forms of incentives (73.2 %) are widely used. At the same time, the main topics of the trainings are regarding the professional aspects of activity. An important factor in the life of a pharmaceutical organization is its social and charitable work, which forms a positive attitude towards it on the part of pharmaceutical professionals, and sometimes serves as a motivational advantage in choosing a place of work