Fluid Flow Properties Research Articles

Super-resolution reconstruction of 3D digital rocks by deep neural networks

Digital rock technology provides valuable insights into the pore structure and fluid flow properties of geoenergy resources. Artificial intelligence technology in vision and image processing, especially the image super-resolution, has great potential for digital rock reconstruction and resolution enhancement. However, the analyzed core samples are typically sandstones/carbonates in micro-scale resolutions and in two-dimensional (2D) space, whereas the shale rocks in nano-scale resolutions for unconventional resources or three-dimensional (3D) digital cores are rarely investigated. Additionally, previous studies primarily emphasized image quality from a computer vision perspective, with little consideration given to estimating physical properties of digital rocks using super-resolution techniques.This study presents a very deep super-resolution (VDSR) algorithm, specifically designed to generate high-resolution 3D digital rock images, for nano-scale shale matrix and micro-scale hydraulic fractures. We compare both image quality and permeability accuracy between the original high-resolution images and the super-resolution images reconstructed by the proposed method. The results reveal that the reconstructed images using the proposed method closely resemble the actual images, and effectively reduce errors in permeability computations. This study highlights the applicability of the proposed VDSR algorithm in establishing the detailed structures of 3D nano-scale shale matrix and hydraulic fractured rocks, thus advancing super-resolution techniques in digital core analysis for geoenergy resources development.

Predictability of monthly streamflow by considering complexity measures

Natural fluid flow systems exhibit turbulent and chaotic behavior that determines their high-level complexity. Chaos has an accurate mathematical definition, while turbulence is a property of fluid flow without an accurate mathematical definition. Using the Kolmogorov complexity (KC) and its derivative (KC spectrum), permutation entropy (PE), and Lyapunov exponent (LE), we considered how chaos affected the predictability of natural fluid flow systems. This paper applied these measures to investigate the turbulent, complex and chaotic behaviors of monthly streamflow of rivers from Bosnia and Herzegovina, the United States, and the Mendoza Basin (Argentina) and evaluated their time horizons using the Lyapunov time (LT). Based on the measures applied for river streamflow, we derived four modes of the interrelationship between turbulence, complexity, and chaos. Finally, using the measures, we clustered rivers with similar time horizons representing their predictability.

Interplay of electrokinetic effects in nonpolar solvents for electronic paper displays

HypothesisElectronic paper displays rely on electrokinetic effects in nonpolar solvents to drive the displacement of colloidal particles within a fluidic cell. While Electrophoresis (EP) is a well-established and frequently employed phenomenon, electro-osmosis (EO), which drives fluid flow along charged solid surfaces, has not been studied as extensively. We hypothesize that by exploiting the interplay between these effects, an enhanced particle transport can be achieved. ExperimentsIn this study, we experimentally investigate the combined effects of EP and EO for colloidal particles in non-polar solvents, driven by an electric field. We use astigmatism micro-particle tracking velocimetry (A-μPTV) to measure the motion of charged particles within model fluidic cells. Using a simple approach that relies on basic fluid flow properties we extract the contributions due to EP and EO, finding that EO contributes significantly to particle transport. The validity of our approach is confirmed by measurements on particles with different magnitudes of charge, and by comparison to numerical simulations. FindingsWe find that EO flows can play a dominant role in the transport of particles in electrokinetic display devices. This can be exploited to speed up particle transport, potentially yielding displays with significantly faster switching times.

Analyzing the Effect of Magnetic Drag Force on Carbon Nanotubes Suspended in Casson Fluid Within Parallel Surfaces with Heat Diffusion and Rate of Molar Reaction: An Analytical Approach

The study of hydromagnetic CNTs of Casson fluids in Poiseuille flow has significant implications for various industries and can provide valuable insights into the fundamental properties, such as viscosity and conductivity of these fluids. They can improve the heat transfer properties of fluids and enhance the overall efficiency of thermal systems and the presence of CNTs can induce a magnetic field in the fluid. The main goal of using carbon nanotubes (CNTs) in Poiseuille flow is to enhance the fluid flow properties, such as viscosity, thermal conductivity, and heat transfer and the novelty of CNTs in Poiseuille flow lies in their ability to modify the fluid flow properties by altering the structure of the fluid at the nanoscale level. The use of CNTs in Poiseuille flow has gained attention due to their unique mechanical, electrical, and thermal properties. An analytical approach to the investigation of heat transmission in hydro-magnetic forces of natural convective flow of Casson-fluid in a Poiseuille flow implanted by Darcian regime on Carbon Nanotubes with the impacts of magnetic field, heat generation, diffusion thermo, porosity, radiation and first order chemical reaction is presented. In this research, dual solutions are introduced for single-wall and multiple-wall carbon nanotubes over velocity and temperature of nanofluid by the application of various physical and they are elaborated via plane curves. The base fluid is considered for the CNTs as Engine oil. Validity of this model has established by comparing with the available previous literature and is found acceptable agreement with it. In the present study, it is found that the fluctuation in radiation and heat generation plays a significant role in CNTs. It is known that a rise in the Casson parameter and nanoparticle volume fraction enhances the fluid velocity. It is concluded that, the volume fraction of nanoparticles in Poiseuille flow can have a significant impact on the flow behaviour and properties of the fluid. This study has tremendous feasible applications in the areas related to biomedical sciences, water purification process, technology of fibers, nano-materials technology, storage of energy and various applications.

A Numerical Comparison of 2D and 3D CFD Modelling for Contraction and Expansion Geometries with an Emphasis on Solid Particles Erosion

In this study, erosion patterns and magnitude are compared between the outputs of 2D and 3D CFD models in contraction and expansion geometries. ANSYS Fluent software was used to model a circular cross-section geometry with a contraction and the results were compared to published experimental data. The simulation findings showed that there is good agreement between the 2D and 3D CFD models and the experimental data in terms of fluid flow properties such as velocity profiles and magnitude. It also demonstrated that the 2D and 3D CFD models' representations of erosion patterns and magnitudes are equivalent. The 3D CFD simulations were able to provide more information than the 2D CFD simulations, particularly in terms of erosion distribution over the entire geometry.

Asymmetrical Microfracture Density Across an Active Thrust Fault: Evidence from the Longmen Shan Fault, Eastern Tibet

Abstract Microfracture density in fault damage zones can reflect spatial variability that decays in intensity as a function of distance from the fault, which is crucial in understanding the mechanical, seismological, and fluid-flow properties of the fault system. However, few studies explored the characteristics of fracture density between the two sides of active dip-slip faults due to rare field observations. Here, we measured and modeled microfractures across an active thrust fault associated with the 2008 Mw 7.9 Wenchuan earthquake in the Longmen Shan, eastern Tibetan Plateau. The results showed that the microfracture density at the Qingping site developed more intensely in the hanging wall than in the footwall for an exposed thrust fault, indicating an asymmetrical pattern. The hidden thrust fault at the Jushui site showed that microfractures developed more intensely in vertical planes in the hanging wall than in the footwall, whereas microfractures developed similarly in horizontal planes within the two sides, indicating a quasiasymmetrical pattern. Comparing the data at the two sites with computational modeling, we suggest that fault geometry might exert a first-order control of the asymmetrical microfracture density pattern, which is helpful for revealing different deformational behaviors of rock masses in the fault damage zones and better understanding the hanging-wall effect for evaluating seismic hazards on active thrust faults.

Applications of solar thermal radiation in a bio‐convective Eyring–Powell hybrid nanofluid flow under the influence of electro‐magnetohydrodynamics near a stagnation point: An irreversibility study

AbstractIn this study, we investigate the electromagnetohydrodynamic (EMHD) Eyring–Powell hybrid Nanofluid flowing through a stretching surface, with the effects of copper , aluminum oxide nanoparticles and gyrotactic motile microorganism with polyvinyl alcohol‐water as a base fluid. Heat transfer, joule heating, solar radiation, mass transmission, and entropy generation effects are analyzed on the fluid flow. A numerical model with an analytical methodology for the description of fluid flow and thermal properties of a parabolic trough solar collector (PTSC) installed on a solar plate is underway as the use of solar plates in many devices going to expand. The governing partial differential equations (PDEs) are transformed into ordinary differential equations (ODEs) by using similarity transformations. The higher‐order ODEs are then solved using the analytical scheme known as the homotopy analysis method (HAM) in MATHEMATICA. The effects of different parameters such as magnetic field, electric field, Prandtl number, Eckert number, bioconvection diffusion, Lewis number, chemical reaction parameter, bioconvection, and Grashof number are analyzed with flow characteristics graphically. The velocity of the fluid shows a decrement due to the radiation parameter, Grashof number, and Solutal Grashof number. Thermodynamic properties of the fluid are enhanced with the Prandtl number, Eckert number, and electric and magnetic field. The entropy of the fluid increases with the Prandtl number, Eckert number, and diffusion parameter. Bejan number rises due to diffusion and bioconvection diffusion parameters. The study is about the mathematical analysis of Eyring Powell fluid flowing through a PTSC with the addition of a motile microorganism. PTSC are a main source of energy production for many sectors. Nanoparticles of copper and aluminum oxide are mixed to raise the thermal properties of the fluid used for electricity production engines, solar energy systems, cooling devices. Solar radiation effect, Joule heating, and viscous dissipation are analyzed for the energy production devices.

Characterization and reconstruction of rough fractures based on vector statistics

The characteristics of fracture networks are of great significance for unconventional geo-energy exploitation such as shale oil, shale gas and geo-thermal extraction. Natural fractures and induced fractures after reservoir stimulation control the mechanical properties and fluid flow of the reservoirs. The quantitative characterization and reconstruction of rough fractures are essential for studying the fluid flow and mechanical properties of the reservoirs with complicated fracture networks. Based on vector statistics, a vector statistical method (VSM) for quantitative characterization of rough fractures is proposed and tested using 10 standard joint profiles. Furthermore, the growth vector counting method (counting method) and growth vector probability method (probability method) for single rough fractures in two-dimensional (2D) and three-dimensional (3D) models are proposed. Afterward, a morphology comparison and quantitative evaluation of single rough fractures before and after reconstruction are conducted. When the counting and probability methods are used to reconstruct single rough fractures, the difference in the tortuosity and fractal dimensions of the original and reconstructed fractures are less than 5% and 2.5%, respectively. It implies the counting and probability methods proposed herein can reconstruct rough fractures with approximate statistical characteristics and quantitative characterization parameters. Subsequently, the counting and probability methods for single rough fractures are further developed for 2D and 3D modeling of conventional and rough discrete fracture networks. The results indicate that the growth vector counting and probability methods proposed in this study have significant potential for rough discrete fracture network modeling. In addition, the merits and limitations of the proposed algorithms in modeling discrete fracture network models are discussed.

Effect of elasticity on the induced charge electro-osmotic mixing of viscoelastic fluids in a micromixer with a conductive cylinder

Mixing of reagents in microfluidics is critical, and currently, the focus is on Newtonian fluids, but these reagents are often viscoelastic fluids. In this study, a micromixer containing a conductive cylinder is proposed based on the principle of induced charge electro-osmosis (ICEO). The Oldroyd-B constitutive model was chosen to characterize the flow properties of viscoelastic fluids, and the Poisson–Boltzmann model was used to describe the ion distribution in the electrolyte. The impact of the elasticity number (El) of viscoelastic fluids on the mixing efficiency, velocity, and vortex in the micromixer was studied. The results show that the mixing efficiency is only 55.41% when El = 0 (Newtonian fluid), and the mixing efficiency reaches 99.08% when El = 50. As El increases from 0 to 50, the cross-sectional average velocity at 50 μm from the micromixer exit decreases from 160 to 26.1 μm/s. Furthermore, the vortices around the conductive plate generated by the ICEO phenomenon begin to fluctuate at El = 7.

RESEARCH OF TRIANGULAR BAFFLE PLACEMENT EFFECT ON THE HEAT TRANSFER AND FLOW FEATURES IN CROSS-CIRCULAR GROOVED TRIANGULAR CHANNELS

In this study, heat transfer performance and fluid flow properties for cross-circular grooved triangular ducts having different location angles and heights of the triangular baffles are studied numerically. The ANSYS Fluent program is applied to solve the equations of energy and the Navier-Stokes equations by employing the <i>k</i>-ε turbulence model in computational calculations. While the inlet temperature of the working fluid (air) is 293 K, the surface temperature of the lower circular grooved channels is taken constant at 373 K. Triangular baffles have different angles of 30°, 60°, and 90° and heights of 0.25H, 0.5H, and 0.75H. The range of the Reynolds number (Re) employed in this study is 1000-6000. Numerical results agreed with a 3.53% deviation according to empirical work that existed in the literature. The attained outcomes are presented as mean Nusselt number (Nu<sub>m</sub>), fluid temperature, turbulence kinetic energy, pressure, and performance evaluation criterion (PEC) variations for each triangular baffle angle and height. Contour distributions of the temperature, velocity, turbulence kinetic energy, and velocity vector are also evaluated for distinct Re numbers and triangular baffle arrangements. For Re = 3000, the Nu<sub>m</sub> number in the channel with a 90° baffle angle and 0.75H baffle height is 136.73% higher than that in the channel with 0.25H baffle height. In the channel with 0.25H baffle height, the PEC value is 91.91% higher in the 30° baffle angle condition than in the 90° one.

Influence of conical graded porous architecture on the mechanical, failure behavior and fluid-flow properties for bone scaffold application

IntroductionThe advanced design of the controllable hierarchical gradient architecture of functionally graded porous scaffold is gaining increasing attention in tissue engineering (TE). This paper proposed a new design gradient concept of Schwartz-Primitive (Sch-P) conical graded porous architecture by integrating linear and radial graded patterns. Materials and Methods: Four types of gradient pattern structures with similar 80 % porosity were designed and fabricated using polylactic acid (PLA) pro via material extrusion. The structural compression test was performed to evaluate the mechanical properties in order to validate the computational analysis. In addition to that, computational fluid dynamics (CFD) was conducted to predict the permeability and fluid-induced wall shear stress (WSS) of porous structures. Results: The experimental result shows that conical graded structures exhibit the highest mechanical strength in terms of elastic modulus (64.84 MPa), yield stress (1.83 MPa), and total energy absorption (1.115 J/m3) compared to linear, radial, and uniform structures. The unique smooth surfaces of the conical pores arrangement resulted in excellent strength with a localized fracture in the shape of a chevron and global fracture in a layer-by-layer failure mechanism. Indeed, the permeability values for conical graded meets the fluid permeability of actual cancellous bone. Conclusion: The findings highlighted that conical graded structure offered superior mechanical characteristics with improved energy absorption and failure behavior as well as fluid-flow properties. It indicates that conical graded meets all the mechanical and biological requirements to mimic the cancellous bone, especially in load-bearing applications.

Effect of symmetrical and asymmetrical structures of transverse tube on heat transfer performance of nanofluids in a solar collector system

AbstractIn an effort to enhance the heat transfer performance of solar collectors, this paper proposed to replace the smooth tube with symmetrical and asymmetrical transversely corrugated tubes, and to couple with SiO2‐H2O nanofluids for heat transfer of solar collectors. Effects of nanofluids mass fraction (w = .0%, .1%, .3%, and .5%), Reynolds number (3000, 4000, 5000, 6000, and 7000), and groove radius (1.5, 2, and 2.5 mm) on the flow and heat transfer properties of nanofluids in solar collectors were studied. The comprehensive evaluation index was used to consider the heat transfer property and flow resistance of fluid flow at the same time. Results showed that with the augment of nanofluids mass fraction, Reynolds number, and groove radius, the heat transfer enhancement performance of the collector becomes better. Among them, when the Reynolds number is 4000, the asymmetric transversely corrugated tube with a nanofluids mass fraction of .5% and a groove depth of 2.5 mm has the best comprehensive flow and heat transfer performance, and the comprehensive evaluation index can reach 1.62. The study results in this paper are beneficial to the coupling of nanofluids and transversely corrugated tubes and their application in the domain of enhanced heat transfer of solar collectors.

Theoretical analysis of Reiner-Philippoff fluid flow in two layers due to metachronal propulsion: Subject to surrounding temperature

Mucociliary clearance plays a crucial role within the respiratory system as an initial protective mechanism against infections. Hence, it is imperative to validate any assumptions made regarding the mucociliary clearance and its impact on its functionality. This study examines flow of two-dimensional Reiner-Philippoff fluid within a ciliated channel, resulting in the separation of the fluid into two immiscible layers due to variations in viscosity. The governing equations are shortened through utilization of the long wavelength and Reynolds number (low) approximation. The impacts of emerging parameters are examined through the utilization of graphical representations. It has been observed that when there are variations in fluid properties, such as density, thermal conductivity, and viscosity between two neighboring zones, concept of a peripheral layer should be employed in order to achieve more accurate and realistic outcomes. The figures indicate that an increase in viscosities, thermal conductivities, and fluid characteristics leads to an elevation in temperature field in both layers. Moreover, the potential future scope of this study holds the promise of making substantial contributions to the comprehension of intricate fluid dynamics and fostering the advancement of novel technologies that can be practically applied across various domains. Additional research into the thermal characteristics of the system may contribute to a deeper comprehension of the complex interplay between temperature fluctuations and the dynamics of Reiner-Philippoff fluids. This has the potential to facilitate the advancement of thermal control mechanisms or the investigation of temperature-responsive materials for the purpose of manipulating fluid flow properties.

Uncovering the mystery of the vortex dynamics in a micropolar fluid with multiple magnetic field strips: A novel case study

From transportation to energy production, environmental protection, and medical advancements, vortices are known to influence everything. Therefore, a remarkable aspect of engineering and scientific research in these areas is the prediction, control, and optimization of such vortices. Motivated by these potential applications, we numerically study ‘how confined magnetic fields may give rise to new vortices in the micropolar flow inside a square cavity, by employing the Alternating Direction Implicit approach. Unlike most of the previous studies, we do not assume a uniform magnetic field throughout the flow domain, which is more realistic. Instead, we introduce several confined magnetic fields in the form of multiple horizontal and vertical strips. Further, we have applied the theory of micropolar fluids proposed by Eringen to model the micropolar fluid and visualize the flow patterns around the magnetic strips in the flow regime. Using our self-developed MATLAB codes, we examine how various parameters, such as the magnetic field strength, the number and position of the strips, and the micropolar parameter affect the flow and thermal properties of the micropolar fluid. The findings of this study will contribute to a better understanding of the vortex generation and heat transfer enhancement of micropolar fluids in lid-driven cavities under localized magnetic fields. The study reveals that both the Nusselt number (Nu) and skin friction (CfRe) coefficient decrease by 45% and 1% respectively with a magnetic number (Mn) for a fixed Reynolds number (Re). However, increasing the Reynolds number at a fixed magnetic number increases the Nusselt number (909%) and skin friction coefficient (7%). This means that the higher flow velocity translates into increased wall shear stress and heat transfer, which destabilizes the flow and may cause turbulence. This knowledge can be used to develop new and improved micropolar fluid-based technologies for a variety of applications, such as energy production, medical devices, and microfluidics.

Exploration of motion of methanol experiencing alumina and silica nanoparticles with emphasis on multiple solutions

There is an increasing industrial demand to improve the thermal characteristics of fluids as they flow over stretching/shrinking and rotating surfaces. Heat transfer liquids, thermal exchangers, and coolants in electronics are examples of applicable applications. The thermal transport characteristics of hybrid nanofluids are improved by the inclusion of composite nanoparticles. Because the hybrid nanofluids can improve thermal conductivity compared to traditional fluids. However, several investigations are still needed to fully comprehend its features. Hence, this study investigates the fluid flow and thermal transport properties of thermally radiated hybrid alumina-silica/methanol nanofluid in a three-dimensional domain through a permeable porous shrinking surface. The hybrid nanofluid flow model of PDEs is transformed into ODEs by using similarity conversion, which is then numerically solved in MATLAB using the bvp4c solver. The characteristics of hybrid nanofluid velocity, thermal distribution, friction drag, and heat transport rate are graphically depicted for various physical flow parameters. The outcomes reveal that the range of first and second solutions can be augmented by increasing nanoparticle volume percentage. Furthermore, the results suggest that increasing the suction parameter can improve the effective heat transfer performance of the hybrid nanofluid whereas thermal radiation and heat source/sink parameters have no effect on delaying the boundary layer separation.

A Study of Geometrical Effects on Permeability Estimation in Three-dimensional Fractures Using the Lattice Boltzmann Method

This study investigates the effect of geometry on permeability estimation in three-dimensional fractures using the Lattice Boltzmann Method. Fractures have irregular and complex shapes, which can significantly impact their permeability. Anisotropy of permeability is important as it indicates the influence of changes in fracture orientation on the flow and transport properties of fluids. To examine the relationship between permeability and fracture geometry, we generated three-dimensional fracture geometries using fractal Brownian motion with a Hurst exponent to describe the roughness on the fracture surface. The fractures in this study have varying mean aperture, ranging from narrow to wide, with surface roughness that can be either uniform or non-uniform. The Lattice Boltzmann Method was performed to calculate permeability and investigate the relationship between permeability and geometric parameters of fractures, such as mean aperture and surface roughness. Our results were in good agreement with previous studies on two-dimensional fractures. We found a clear relationship between permeability and mean aperture. Both in uniform and non-uniform geometry have the same trend as the mean aperture increased, permeability generally increased, while rougher surface roughness permeability generally decreased but in non-uniform geometry the data on the graph appears more random and irregular. We extended our investigation to real fractures by digital rock portal data. The analysis revealed that the geometry of the real fractures closely resembled non-uniform geometry, and the permeability exhibited anisotropic behaviour. In addition, the anisotropy of permeability and computation time were also investigated; and it was found that both can be influenced by the three-dimensional fracture geometry.

Heat transfer optimisation through viscous ternary nanofluid flow over a stretching/shrinking thin needle

The current investigation interprets the flow and the thermal characteristics of the ternary nanofluid composed of MoS 2, ZnO, and SiO 2 spherical nanoparticles and water. The resulting nanofluid is where act as the base fluid which help in the flow and the nanoparticles contribute to enhancing the heat conductivity. The flow is assumed to occur across a thin needle whose surface is maintained at a higher temperature than the surroundings. The mathematical model is framed by incorporating radiation introduced by Rosseland in terms of partial differential equations (PDE). This system of equations governs the flow and thermal properties of fluid which are converted to a system of ordinary differential equations (ODE). The major outcomes of the study indicated that the increase in the amount of molybdenum disulfide enhanced the heat conducted by the nanofluid whereas it reduced the flow speed. The positive values of the heat source/sink parameter caused the heat conduction of the nanofluid to go high.

Solving multiphysics-based inverse problems with learned surrogates and constraints

Solving multiphysics-based inverse problems for geological carbon storage monitoring can be challenging when multimodal time-lapse data are expensive to collect and costly to simulate numerically. We overcome these challenges by combining computationally cheap learned surrogates with learned constraints. Not only does this combination lead to vastly improved inversions for the important fluid-flow property, permeability, it also provides a natural platform for inverting multimodal data including well measurements and active-source time-lapse seismic data. By adding a learned constraint, we arrive at a computationally feasible inversion approach that remains accurate. This is accomplished by including a trained deep neural network, known as a normalizing flow, which forces the model iterates to remain in-distribution, thereby safeguarding the accuracy of trained Fourier neural operators that act as surrogates for the computationally expensive multiphase flow simulations involving partial differential equation solves. By means of carefully selected experiments, centered around the problem of geological carbon storage, we demonstrate the efficacy of the proposed constrained optimization method on two different data modalities, namely time-lapse well and time-lapse seismic data. While permeability inversions from both these two modalities have their pluses and minuses, their joint inversion benefits from either, yielding valuable superior permeability inversions and CO2 plume predictions near, and far away, from the monitoring wells.

Natural convection of nanofluid flow in a porous medium in a right-angle trapezoidal enclosure: a Tiwari and Das’ nanofluid model

The study uses Tiwari and Das’ nanofluid model to present a study on free convective flows in a right-angled trapezoidal cavity that is saturated with a porous bed and filled with Cu-water nanofluid material. This investigation aims to enhance the characteristics of hybrid fuel cells and energy depository devices by analysing the cavity's heat expansion and fluid flow properties. In trapezoidal enclosures, the inclined and right wall portions are maintained at different isothermal temperatures at all times. Finite difference-based stream function-vorticity numerical simulations are employed to carry out this analysis. The outcomes have been presented for isotherms, streamlines, and Nusselt numbers concerning nanoparticle volume fraction, Darcy number, and various Rayleigh numbers. It is found that the inverse relationship between the thermal Rayleigh number and the nanofluid’s volume has a significant impact on the average Nusselt number.

The effects of various factors on spontaneous imbibition in tight oil reservoirs

Slickwater fracturing fluids have gained widespread application in the development of tight oil reservoirs. After the fracturing process, the active components present in slickwater can directly induce spontaneous imbibition within the reservoir. Several variables influence the eventual recovery rate within this procedure, including slickwater composition, formation temperature, degree of reservoir fracture development, and the reservoir characteristics. Nonetheless, the underlying mechanisms governing these influences remain relatively understudied. In this investigation, using the Chang-7 block of the Changqing Oilfield as the study site, we employ EM-30 slickwater fracturing fluid to explore the effects of the drag-reducing agent concentration, imbibition temperature, core permeability, and core fracture development on spontaneous imbibition. An elevated drag-reducing agent concentration is observed to diminish the degree of medium and small pore utilization. Furthermore, higher temperatures and an augmented permeability enhance the fluid flow properties, thereby contributing to an increased utilization rate across all pore sizes. Reduced fracture development results in a lower fluid utilization across diverse pore types. This study deepens our understanding of the pivotal factors affecting spontaneous imbibition in tight reservoirs following fracturing. The findings act as theoretical, technical, and scientific foundations for optimizing fracturing strategies in tight oil reservoir transformations.