To accurately simulate nanofluid flooding for enhanced oil recovery (EOR) in reservoirs, it is essential to consider the porous media's heterogeneity. This heterogeneity causes variations porosity and permeability, which require significant computational resources time ensure precise modeling. Additionally, previous models focus on impact of thermophysical properties using a single variable volume fraction. research proposed model evaluate effect (NF) heterogeneous medium. For first time,...

Nowadays, oil companies employ nanofluid flooding to increase production from reservoirs. Herein the present work, a multiphase flow in porous media was used simulate extraction three-dimensional medium filled with oil. Interestingly, finite element method solve nonlinear partial differential equations of continuity, energy, Darcy’s law, and transport nanoparticles (NPs). The proposed model nanofluids (NFs) empirical formulas for density viscosity on NF relative permeabilities NP equations....

In the oil and gas industry, it is very important to recover maximum amount of extracted from reservoirs. Many methods are employed in extraction process Enhanced Oil Recovery (EOR) obtain recovery, but unfortunately, only up 70% can be recovered One most new techniques EOR use nanotechnology during recovery process. Without mathematical analysis, difficult perform experiments oil, as experimental setup costly. Hence, essential study physical properties reservoir its flow behaviour get...

It is necessary to sustain energy from an external reservoir or employ advanced technologies enhance oil recovery. A greater volume of may be recovered by employing nanofluid flooding. In this study, we investigated extraction in a two-phase incompressible fluid two-dimensional rectangular porous homogenous area filled with and having no capillary pressure. The governing equations that were derived Darcy’s law the mass conservation solved using finite element method. Compared earlier...

Abstract The investigation presented in this study delves into the analysis of Lie symmetries for bistable Allen-Cahn (BAC) equation with a quartic potential, specifically applied to biofilm model. By employing symmetry method, we have acquired infinitesimal generators considered Using transformation nonlinear partial differential equations (NPDEs) are converted various ordinary (NLODEs), providing numerous closed-form solitary wave solutions. obtained solutions manifest forms including...

Recovering boron from aqueous solutions presents a significant opportunity for enhancing sustainable resource management and reducing costs within the oil gas industry. This research focuses on evaluating newly synthesized adsorbents. Specifically, it investigates adsorption desorption in fixed bed columns of 25 cm length 2.5 diameter, utilizing depths at 2.5, 5, 7.5 10 cm. Four different flow rates (2, 4, 6, 8 mL/min) were used, all maintaining constant concentrations 85 mg/L, which...

The use of nanomaterials as a means recovering heavy and light oil from petroleum reservoirs has increased over the preceding twenty years. Most researchers have found that injecting nanoparticle dispersion (nanofluids) led to good results amount can be recovered. In this research, we aim imitate three-dimensional hexagonal prism in existence SiO2 Al2O3 nanoparticles for better recovery. Porosity (0.1≤φ≤0.4), mass flow rate (0.05mL/min≤Q≤0.05ml/min), concentration (0.01≤ψ≤0.04), effect...

Abstract In this paper, we explore the characteristics of lump and interaction solutions for a (1+1) dimensional Boussinesq equation. By employing Hirota bilinear method, derive analyze exact Specifically, achieve with bright-bright soliton solution, 1-lump,2-lumps 3-lumps single bright periodic, kink, anti-kink solutions. Alongside deriving these solutions, also illustrate their dynamic properties through graphical simulations. The equation holds significant importance due to its...

Enhanced oil recovery (EOR) has been offered as an alternative to declining crude production. EOR using nanotechnology is one of the most innovative trends in petroleum industry. In order determine maximum recovery, effect a 3D rectangular prism shape numerically investigated this study. Using ANSYS Fluent software(2022R1), we develop two-phase mathematical model based on geometry. This research examines following parameters: flow rate Q = 0.01-0.05 mL/min, volume fractions 0.01-0.04%, and...

Two-phase Darcy's law is a well-known mathematical model used in the petrochemical industry. It predicts fluid flow reservoirs and can be to optimize oil production using recent technology. Indeed, various models have been proposed for predicting recovery injected nanofluids (NFs). Among them, numerical modeling attracting attention of scientists engineers owing its ability modify thermophysical properties NFs such as density, viscosity, thermal conductivity. Herein, new simulating NF...

Although oil extraction is indispensable for meeting worldwide energy demands and ensuring industrial sustainability, various hazards are observed. Therefore, this study examined the chemical recovery-related environmental consequences concerning water, soil, ecosystem, human health damages. A numerical analysis explored mathematical model from unconventional sources by utilising 3D porous prism geometries under high-temperature conditions. This unique methodology utilised environmentally...

In this article, the MHD-free convection heat transfer behaviour of oil-based nanofluids is explored numerically inside a square cavity enclosure filled with porous material. The governing equations are derived using Brinkman and Buongiorno’s two-phase nanofluid models. We developed mathematical model for over-research problem enhancement applications; finite volume approach was used to solve dimensionless equations. SIMPLE algorithm calculate values pressure velocity. investigation engine...

The analysis of air pollution behavior is becoming crucial, where information on vital for managing quality events. Many studies have described the stochastic based Markov chain (MC) models. Fitting optimum order MC models essential describing process. However, uncertainty remains concerning such representing and characterizing index (API) data. In this study, hourly daily API sequences from seven stations in central region Peninsular Malaysia identified, Bayesian criteria (BIC),...

This study involves new notions of continuity mapping between quasi-cone metrics spaces (QCMSs), cone metric (CMSs), and vice versa. The relation all were thoroughly studied supported with the help examples. In addition, these continuities compared various types two QCMSs. are 𝒇𝒇-continuous, 𝒃𝒃-continuous, 𝒇𝒃-continuous, 𝒃𝒇-continuous. results demonstrated that could be generalized to It also showed a fixed point for this map complete Hausdorff CMS QCMS. Overall, supports recent research results.