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For the first time, numerical modeling has determined the mechanism of the initiated-by-cavitation rise of the liquid level in tubes and capillaries, known as the laser-induced optocapillary effect, as well as its analogues — the acoustocapillary and plasmocapillary effects. It is shown that the key condition for the occurrence of the liquid rise is the asymmetric collapse of a single relatively large cavitation bubble inside a vertically oriented tube or capillary. The proximity of boundaries (the tube wall, the fiber optic tip, and others) disrupts the spherical symmetry of the bubble during its collapse, leading to the appearance of a liquid flow that rolls up into a long-lived toroidal vortex ring. Due to viscous entrainment of the surrounding medium, the vortex generates a directed liquid flow upward and also ensures the suction of a new portion of liquid through the open lower end of the tube. The simulation results show that the characteristic lifetime of the toroidal vortex significantly exceeds the duration of the growth and collapse stages of the cavitation bubble that generated it. It is demonstrated that the rise of the liquid level in the tube does not begin at the moment of bubble expansion, but after its complete disappearance, and continues over a relatively long period due to the inertia of the vortex motion. This result is in complete agreement with experimental data, confirming the validity of the proposed mechanism.

The study investigated the practically significant configuration of the laser-induced optocapillary effect using an optical fiber. This configuration opens broad prospects for technical and medical applications, particularly in laser surgery. The investigated mechanism can be used to create cavitation pumps — effective tools for cleaning technical surfaces and wound surfaces, where the process of removing damaged tissue and foreign bodies due to thermal exposure will be accompanied by the removal of debris through the tube, significantly increasing the efficiency and safety of the procedure.

The obtained results represent the first consistent explanation for a class of cavitation-induced capillary phenomena and create a foundation for their controlled application in biomedical and microfluidic technologies.

In this work, parallel method for solving single-phase flow problems in a fractured porous media is considered. Method is based on the representation of fractures by surfaces embedded into the computational mesh, and known as the embedded discrete fracture model. Porous medium and fractures are represented as two independent continua within the model framework. A distinctive feature of the considered approach is that fractures do not modify the computational grid, while an additional degree of freedom is introduced for each cell intersected by the fracture. Discretization of fluxes between fractures and porous medium continua uses the pre-calculated intersection characteristics of fracture surfaces with a three-dimensional computational grid. The discretization of fluxes inside a porous medium does not depend on flows between continua. This allows the model to be integrated into existing multiphase flow simulators in porous reservoirs, while accurately describing flow behaviour near fractures.

Previously, the author proposed monotonic modifications of the model using nonlinear finite-volume schemes for the discretization of the fluxes inside the porous medium: a monotonic two-point scheme or a compact multi-point scheme with a discrete maximum principle. It was proved that the discrete solution of the obtained nonlinear problem preserves non-negativity or satisfies the discrete maximum principle, depending on the choice of the discretization scheme.

This work is a continuation of previous studies. The previously proposed monotonic modification of the model was parallelized using the INMOST open-source software platform for parallel numerical modelling. We used such features of the INMOST as a balanced grid distribution among processors, scalable methods for solving sparse distributed systems of linear equations, and others. Parallel efficiency was demonstrated experimentally.

We present an inhomogeneous two-dimensional network model of two-phase flow in porous media. The edges of the network are assumed to be capillary tubes of different radii. We propose a new algorithm for handling phase fluxes at the nodes of this network model. We perform two test problems and show that the two-phase flow in this inhomogeneous network model demonstrates properties that are analogous to those of real porous media: capillary imbibition, dependence of capillary pressure on saturation and effect of capillary forces in two-phase displacement. The two test problems are: the counter-current imbibition and the twophase displacement in a periodically inhomogeneous porous medium. In the former problem, we implement a network consisting of two regions: a region of low-permeability with thin capillaries surrounded by a region of high-permeability with thick capillaries, initially saturated with wetting and nonwetting incompressible fluids, respectively. Capillary equilibrium is established due to counter-current imbibition by a region. We examine the dependence: of saturation of the wetting fluid with respect to time in the regions, and of capillary pressure on the current saturation. We have obtained a qualitative agreement with the known experimental and theoretical results, which will further allow us to use this network model to verify homogenized models of capillary nonequilibrium. In the latter problem, we consider the two-phase displacement, where the network is initially saturated with nonwetting fluid. Then wetting fluid is injected through a boundary at a constant rate. We analyze the saturation with respect to the axis which is along the applied pressure gradient for various moments in time with various values of coefficients of surface tension. The results show that for lower values of coefficient of surface tension, the wetting fluid prefers to invade through the thicker tubes, and in the case of higher values, through thinner tubes.

The paper presents a cascade model of a physically supported neural network designed to predict pressure drop in three-phase flow (oil, gas, water) in a pipe section with various angles of inclination. To overcome the constraints of existing empirical correlations and computation-intensive numerical modeling methods, we propose an architecture that decomposes the problem into three sequential physically interpretable subtasks: regression prediction of the fluid hold-up coefficient, fluid flow regime classification, and pressure gradient evaluation. Each subtask is solved by a separate fully connected neural network, the output of which is passed to the next model in the cascade. Training and testing of the proposed architecture was performed on an extensive synthetic dataset (8 · 10⁷ records) generated using a semi-empirical model. Verification is performed on independent experimental data. A comparative analysis with a single fully connected (non-cascade) neural network is made, and the sensitivity of the models is examined using Sobol and Borgonovo methods. The cascade model demonstrates superior accuracy and ensures high interpretability of results by providing intermediate physical parameters (fluid hold-up coefficient, flow regime). The developed model has low computational complexity, which allows it to be used in real-time systems and digital twins of hydraulic systems in the oil and gas industry.

The article is devoted to the numerical study of shock-wave flows in inhomogeneous media–gas mixtures. In this work, a two-speed two-temperature model is used, in which the dispersed component of the mixture has its own speed and temperature. To describe the change in the concentration of the dispersed component, the equation of conservation of “average density” is solved. This study took into account interphase thermal interaction and interphase pulse exchange. The mathematical model allows the carrier component of the mixture to be described as a viscous, compressible and heat-conducting medium. The system of equations was solved using the explicit Mac-Cormack second-order finite-difference method. To obtain a monotone numerical solution, a nonlinear correction scheme was applied to the grid function. In the problem of shock-wave flow, the Dirichlet boundary conditions were specified for the velocity components, and the Neumann boundary conditions were specified for the other unknown functions. In numerical calculations, in order to reveal the dependence of the dynamics of the entire mixture on the properties of the solid component, various parameters of the dispersed phase were considered — the volume content as well as the linear size of the dispersed inclusions. The goal of the research was to determine how the properties of solid inclusions affect the parameters of the dynamics of the carrier medium — gas. The motion of an inhomogeneous medium in a shock duct divided into two parts was studied, the gas pressure in one of the channel compartments is more important than in the other. The article simulated the movement of a direct shock wave from a high-pressure chamber to a low–pressure chamber filled with a dusty medium and the subsequent reflection of a shock wave from a solid surface. An analysis of numerical calculations showed that a decrease in the linear particle size of the gas suspension and an increase in the physical density of the material from which the particles are composed leads to the formation of a more intense reflected shock wave with a higher temperature and gas density, as well as a lower speed of movement of the reflected disturbance reflected wave.