Experimental studies of the process of displacement of industrial oil with a viscosity of 55.2 and 88.3 mPa s from a homogeneous porous medium at pressures in the range of 8–14 MPa and temperatures of 313.333 and 353 K. It is shown that an increase in the dynamic viscosity of hydrocarbons leads to a decrease in the amount of displaced hydrocarbon from the porous medium. It has been suggested that the reduction in the amount of hydrocarbon displaced is due to the low solubility of carbon dioxide in both of the tested hydrocarbons. The dynamic viscosity of industrial oil was calculated in the pressure range of 8–14 MPa on isotherms of 313, 333, and 353 K. It is shown that the dynamic viscosity at pressures of 12 and 14 MPa decreases by 100–150
This systematic review investigates the incorporation of artificial intelligence (AI) into science education by analyzing 17 studies published from 2020 to 2024. The paper examines the utilization of AI in different scientific fields and educational settings and assesses its influence on the methods of teaching and learning. The findings demonstrate a diverse range of AI applications, including chatbots, intelligent tutoring systems, and AI-enhanced textbooks. These apps serve many functions, from being educational tools to assisting in assessments. The investigation demonstrates the favorable impact of AI on student performance, motivation, and engagement in science education, particularly in the areas of personalized learning and the development of self-regulated learning skills. Additionally, issues related to technological infrastructure, obstacles to the sensitivity and reliability of AI systems, and ethical issues were also examined. The study emphasizes the importance of teacher preparation in achieving the successful integration of AI and expresses the necessity of comprehensive professional development. Potential areas for future research encompass investigating the enduring consequences of AI utilization, exploring its applicability in diverse educational settings, and fostering the growth of AI literacy. The study’s findings indicate that while AI has the potential to greatly improve science education, its successful application necessitates thoughtful evaluation of technological, pedagogical, ethical, and social elements to ensure fair and efficient integration across all educational levels.
The paper is devoted to the analysis of the influence of the shear rate on the results of hydrodynamic modeling in reservoirs when planning and optimizing polymer flooding technologies in oil production problems. Three-dimensional hydrodynamic modeling is performed taking into account that the viscosity of the displacing agent in the reservoir is calculated according to a tabularly specified dependence on the polymer concentration and shear rate. The paper presents the results of computational experiments for polymer flooding for a three-dimensional reservoir model with and without taking into account the shear rate for two types of oil and polymers. Evaluations of the polymer flooding efficiency are given. It is shown that the bottomhole pressure significantly depends on the shear rate. Therefore, failure to take into account the shear rate during planning may lead to incorrect conclusions about possible daily volumes and concentrations of polymer injection, incorrect predictions of bottomhole pressures, and also lead to significant distortions in the assessment of the effectiveness of polymer flooding as a whole.
The work considers the issues of automating the technological process at a stationary nitrogen compressor station of a modular type, oriented for using in the oil and gas industry. The focus is on designing and modelling a closed-loop control system for regulating the pressure of technical nitrogen at the outlet of the booster compressor. The work jus-tifies the choice of parameters to be controlled, analyses automation technical means (sensors, PLCs, actuators), and constructs an information model of the control object. The authors apply a mathematical model of the object in the form of a first-order inertial link with delay; implement the control algorithm in Python using a PI controller; con-struct graphs of transient processes based on the modelling results, confirming the system stability and the regulation accuracy. The paper demonstrates the necessity of transitioning to modern domestic technical and software solutions in production and educational processes; compiles a block diagram of the air dryer control algorithm, which is im-plemented in the Codesys 3.5 programming environment. It is concluded that the developed approach can be applied as part of SCADA systems and adapted to industrial conditions. The proposed methodology can be used for educa-tional and design purposes to optimize control systems for compressor units in gas separation installations.
The resultant microcutting trajectory in equipment with raster kinematics of tool motion is studied and described. Formulas are established for the microcutting speed and also the density of the trajectory grid in relative motion of the tool and workpiece surface.
