Polymeric Surfactants Research Articles

Pluronic F127‐modified BaTiO3 for ceramic/polymer nanocomposite dielectric capacitor with enhanced energy storage performance

AbstractCeramic/polymer nanocomposites have been extensively explored for dielectric capacitor application due to their high energy storage performance and ease of processing, flexibility, and low cost. However, improving compatibility between inorganic and organic materials is of great significance and has been a long‐standing challenge. In this work, the polymer surfactant Pluronic™ F127 was employed to perform surface modification of BaTiO3 through a facile solution process. The compatibility between BaTiO3 nanoparticles and P (VDF‐HFP) can be remarkably strengthened by the affinity between F127 polymer chains and the organic matrix. Structural defects such as pores, cracks, and agglomeration of inorganic particles were obviously reduced, and interfacial polarization has been significantly enhanced. The discharged energy density Ud and charge–discharge efficiency η reach up to 5.0 J/cm3 and 58.1% under the breakdown strength of 3740 kV/cm for the nanocomposite containing 1 vol% BT@F127. These dielectric properties are clearly better than the nanocomposite using unmodified BT, as well as similar hybrids reported previously.

Reconfiguration and Reorganization of Bottlebrush Polymer Surfactants

AbstractBottlebrush random copolymers (BRCPs), having randomly distributed hydrophilic and hydrophobic side chains, are shown to reconfigure into hydrophilic‐rich and hydrophobic‐rich conformations at liquid–liquid interfaces to reduce interfacial energy. Both the degree of polymerization (NBB) and extent of grafting in these BRCPs were found to impact surface coverage and assembly kinetics. The time‐dependence of the interfacial tension is described as the sum of two exponential relaxation functions characterizing BRCP diffusion, interfacial adsorption, and reorganization. Interfacial tension (γ) and fluorescence recovery after photobleaching (FRAP) results showed that higher molecular weight BRCPs require longer time to adsorb to the water–oil interface, but less time for interfacial reorganization. Overall, this work describes fundamental principles of BRCP assembly at liquid–liquid interfaces, with implications pertaining to polymer design with enhanced understanding of emulsification, adhesion, and related properties in fluids and at interfaces.

Reconfiguration and Reorganization of Bottlebrush Polymer Surfactants.

Bottlebrush random copolymers (BRCPs), having randomly distributed hydrophilic and hydrophobic side chains, are shown to reconfigure into hydrophilic-rich and hydrophobic-rich conformations at liquid-liquid interfaces to reduce interfacial energy. Both the degree of polymerization (NBB ) and extent of grafting in these BRCPs were found to impact surface coverage and assembly kinetics. The time-dependence of the interfacial tension is described as the sum of two exponential relaxation functions characterizing BRCP diffusion, interfacial adsorption, and reorganization. Interfacial tension (γ) and fluorescence recovery after photobleaching (FRAP) results showed that higher molecular weight BRCPs require longer time to adsorb to the water-oil interface, but less time for interfacial reorganization. Overall, this work describes fundamental principles of BRCP assembly at liquid-liquid interfaces, with implications pertaining to polymer design with enhanced understanding of emulsification, adhesion, and related properties in fluids and at interfaces.

Functional characteristics and dominant enhanced oil recovery mechanism of polymeric surfactant

There are more than 40% remaining oil trapped in the reservoir in the mature oilfield even after second and tertiary recovery processes. High performance chemical agent was required for the trapped oil further mobilization. Polymeric surfactant was synthesized by grafting the active ground into the polymer skeleton. It has the advantages of surfactant polymer (SP) flooding and overcome the chromatographic separation during SP flooding. However, it is still unclear how the supramolecular molecular structure of polymeric surfactant affects its properties. Two kinds of polymeric surfactants named HB and HD with different molecular structures were characterized in this paper. Their molecular structure, static properties and enhanced oil recovery (EOR) efficiency were examined and compared via a series of experiments. The results showed that HD was dominated by amide group with hydrophobic association structure, and exhibited the supramolecular characteristics of space network; while HB mainly consisted by ring groups, showing a straight chain structure. HD featured with a better thickening, shear-resistance and salt-resistance ability, while HB can easily emulsify oil. In the microfluidic and three parallel core flooding experiments, HD both presented a higher recovery factor due to its good mobility control performance. Cluster remaining oil obviously declined and film-liked remaining oil slightly increased during HB and HD flooding stage. The incremental oil recovery of HD after water flooding was 26.6%, which was 5.5% higher than that of HB. This work indicates the molecular structure of spatial network is preferred in the design of polymer molecular structure towards EOR in the heterogeneous reservoir.

The Effect of Na-Based Salts on Critical Aggregation Concentration of Aqueous Peg-Sds Mixtures

Critical aggregation concentration (CAC) is a well-known parameter used to study the interactions between constituents in an aqueous mixture containing surfactant molecules. In this study, we have studied the effect of Na-based salts on CAC of aqueous binary mixture of neutral polymer, polyethylene glycol (PEG) and anionic surfactant, sodium dodecyl sulfate (SDS) using viscometric method. To estimate CAC, we have applied Jiang model to the measured viscosity data. From the estimated results, we observe that the value of CAC decreases with the increase of salt molecules in the mixtures. This behavior confirms that the presence of salt molecules favors the binding of SDS molecule to the PEG chain. Bangladesh Journal of Physics, 27(2), 39-48, December 2020

Ultrabright Pdots with a Large Absorbance Cross Section and High Quantum Yield.

Semiconducting polymer dots (Pdots) are increasingly used in biomedical applications due to their extreme single-particle brightness, which results from their large absorption cross section (σ). However, the quantum yield (Φ) of Pdots is typically below 40% due to aggregation-induced self-quenching. One approach to reducing self-quenching is to use FRET between the donor (D) and acceptor (A) groups within a Pdot; however, Φ values of FRET-based Pdots remain low. Here, we demonstrate an approach to achieve ultrabright FRET-based Pdots with simultaneously high σ and Φ. The importance of self-quenching was revealed in a non-FRET Pdot: adding 30 mol % of a nonabsorbing polyphenyl to a poly(9,9-dioctylfluorene) (PFO) Pdot increased Φ from 13.4 to 71.2%, yielding an ultrabright blue-emitting Pdot. We optimized the brightness of FRET-based Pdots by exploring different D/A combinations and ratios with PFO and poly[(9,9-dioctylfluorenyl-2,7-diyl)-co-(1,4-phenylene)] (PFP) as donor polymers and poly[(9,9-dioctyl-2,7-divinylenefluorenylene)-alt-co-(1,4-phenylene)] (PFPV) and poly[(9,9-dioctylfluorenyl-2,7-diyl)-alt-co-(1,4-benzo-{2,1',3}-thiadiazole)] (PFBT) as acceptor polymers, with a fixed concentration of poly(styrene-co-maleic anhydride) as surfactant polymer. Ultrabright blue-emitting Pdots possessing high Φ (73.1%) and σ (σR = σabs/σall, 97.5%) were achieved using PFP/PFPV Pdots at a low acceptor content (A/[D + A], 2.5 mol %). PFP/PFPV Pdots were 1.8 times as bright as PFO/PFPV Pdots due to greater coverage of acceptor absorbance by donor emission─a factor often overlooked in D/A pair selection. Ultrabright green-emitting PFO Pdots (Φ = 76.0%, σR = 92.5%) were obtained by selecting an acceptor (PFBT) with greater spectral overlap with PFO. Ultrabright red-emitting Pdots (Φ = 64.2%, σR = 91.0%) were achieved by blending PFO, PFBT, and PFTBT to create a cascade FRET Pdot at a D:A1:A2 molar ratio of 61:5:1. These blue, green, and red Pdots are among the brightest Pdots reported. This approach of using a small, optimized amount of FRET acceptor polymer with a large donor-acceptor spectral overlap can be generalized to produce ultrabright Pdots with emissions that span the visible spectrum.

Carbon Nanotube/Biomolecule Composite Yarn for Wearable Thermoelectric Applications

In this work, yarn made of a hybrid material of carbon nanotubes (CNTs) and artificial biomolecules is created for the wearable thermoelectric (TE) module. Among the limited methods due to the sensitivity of proteins, the co-use of the ionic liquid and polymeric surfactant with the dialysis method is found to be effective for the dispersion of the CNT/biomolecule composite with a low CNT loss rate and high coverage by biomolecules on the CNT. This new method improved the TE performance by decreasing the bundle diameter of the CNT/C-Dps nanocomposite and better tensile strength. The incorporation of a biomolecule, in particular, significantly reduced the thermal conductivity of CNT yarns, demonstrating that the hybrid composite is advantageous for wearable device applications. This method also outperformed the conventional dispersion against the pristine CNT yarn (without protein), demonstrating the application’s generality. Finally, a low-density testing of the TE module using the CNT/biomolecule composite is demonstrated, exhibiting the output power of 4.37 μW m–2 with a thermoelectric voltage of 4.5 mV at a temperature difference of 20 K. The output power density and voltage can be easily increased 500-fold by increasing the density of the yarn and the number of series connections. This study proposes a practical method for producing an environment-friendly CNT/biomolecule hybrid yarn, which has the potential to be useful in future wearable TE applications.

Experimental investigation of multi-walled carbon nanotubes assisted surfactant/polymer flooding for enhanced oil recovery

For the first time, we investigated the effect of carbon nanotube (CNT) on surfactant/polymer flooding so as to improve oil recovery and explore its mechanisms. To this end, we performed wettability, surface tension (ST), and viscosity tests. Then, micromodel flooding was performed using design of experiments (DOE) method. The results demonstrated that the surfactant/polymer (SP) solution can reduce the contact angle from 143.6° to 24°; besides, the presence of nanoparticle in the solution approximates the contact angle to zero. Also, compared to the SP solution, the surfactant/nanoparticle/polymer (SNP) solution can lead to a more strongly water-wet surface wettability. In the case of SNP, increasing nanoparticle concentration slightly increases the fluid viscosity. Additionally, at fixed concentrations of surfactant and polymer, increasing nanoparticle concentration can raise ST values. Therefore, given the relationship between increasing ST and decreasing interfacial tension (IFT), it can be inferred that the presence of carbon nanotube in the SP solution can lead to a reduction in IFT. The emulsion tests illustrated that the presence of CNT in SP solution does not alter the emulsion type (water-in-oil). The results of micromodel flooding also showed that increasing the concentration of CNT in the SP solution improves oil recovery by 5–11%. Furthermore, an optimal concentration was defined for the surfactant in SNP flooding, up to which point increasing the surfactant concentration raises oil recovery but beyond which the oil recovery diminishes. The DOE method indicated that, in descending order, the polymer, CNT, and surfactant could have the greatest impact on boosting oil recovery. In other words, under SNP flooding, polymer concentration and surfactant concentration exert the most and the least impact on increasing oil recovery.

Polymeric Surfactant P84/Polyoxometalate α-PW12O403−—A Model System to Investigate the Interplay between Chaotropic and Hydrophobic Effects

Low charge density nanometric ions were recently shown to bind strongly to neutral hydrated matter in aqueous solution. This phenomenon, called the (super-)chaotropic effect, arises from the partial dehydration of both the nano-ion and the solute, leading to a significant gain in enthalpy. Here, we investigate the chaotropic effect of the polyoxometalate α-PW12O403− on the triblock copolymer P84: (EO)19(PO)43(EO)19 with (EO)19 the polyethoxylated and (PO)43 the polypropoxylated chains. The combination of phase diagrams, spectroscopic (nuclear magnetic resonance) and scattering (small angle neutron/X-ray scattering) techniques revealed that: (i) below the micellization temperature of P84, PW12O403− exclusively binds to the propylene oxide moiety of P84 unimers; and (ii) above the micellization temperature, PW12O403− mostly adsorbs on the ethylene oxide micellar corona. The preferential binding of the PW12O403− to the PPO chain over the PEO chains suggests that the binding is driven by the chaotropic effect and is reinforced by the hydrophobic effect. At higher temperatures, copolymer micellization leads to the displacement of PW12O403− from the PPO chain to the PEO chains. This study deepens our understanding of the subtle interplay between the chaotropic and hydrophobic effects in complex salt-organic matter solutions.

Acorrosion‐resistancewaterborne polyacrylate coatings based on novel phosphate esters polymeric surfactant

AbstractNovel polymeric surfactant (MBSP) is obtained with phosphate esters monomer (PEGMAP) as the functional monomer in the presence of other acrylic monomers. The synthesized MBSP is further used as emulsifier for preparing the corrosion‐resistance polyacrylate coatings (PAMBSP). Attenuated total reflection Fourier transform infrared (ATR‐FTIR) and nuclear magnetic resonance results show that phosphate esters functional monomer was introduced into the MBSP molecular chains. The surface tension measurements illustrated that with the PEGMAP content 1%, the lowest surface tension 44.45 mN/m and the equilibrium concentration critical micellar concentration (CMC) 1.02 g/L of MBSP are obtained. The stability analysis of the PAMBSP emulsions demonstrates that the Turbiscan Stability Index (TSI) value decreased from 0.64 to 0.32 with the PEGMAP content increased from 1% to 3%. The electrochemical analysis displays that with PEGMAP content 3%, the biggest corrosion potential −0.02 V, smallest etching current density 2.19 × 10−9A•cm2and biggest impedance modulus 1.46 × 107 Ω·cm2was obtained.

Reduction of Bacterial Enteric Pathogens and Hygiene Indicator Bacteria on Tomato Skin Surfaces by a Polymeric Nanoparticle-Loaded Plant-Derived Antimicrobial.

This study determined Escherichia coli O157:H7 and Salmonella enterica serovar Typhimurium survival on tomato skins as a function of sanitization treatment, under three differing contamination and sanitization scenarios. Sanitizing treatments consisted of the plant-derived antimicrobial (PDA) geraniol (0.5 wt.%) emulsified in the polymeric surfactant Pluronic F-127 (GNP), 0.5 wt.% unencapsulated geraniol (UG), 200 mg/L hypochlorous acid at pH 7.0 (HOCl), and a sterile distilled water wash (CON). Experimental contamination and sanitization scenarios tested were: (1) pathogen inoculation preceded by treatment; (2) the pathogen was inoculated onto samples twice with a sanitizing treatment applied in between inoculations; and (3) pathogen inoculation followed by sanitizing treatment. Reductions in counts of surviving pathogens were dependent on the sanitizing treatment, the storage period, or the interaction of these independent/main effects. GNP treatment yielded the greatest reductions in pathogen counts on tomato skins; pathogen survivor counts following GNP treatment were consistently statistically lower than those achieved by HOCl or UG treatments (p < 0.05). GNP treatment provided greatest pathogen reduction under differing conditions of pre- and/or post-harvest cross-contamination, and reduced hygiene-indicating microbes the most of all treatments on non-inoculated samples. Encapsulated geraniol can reduce the risk of pathogen transmission on tomato fruit, reducing food safety hazard risks for tomato consumers.

STUDY OF ENHANCED OIL RECOVERY WITH ALKALINE SURFACTANT POLYMER INJECTION METHOD BY USING LABORATORY TEST

One effort to improve oil recovery in oil reservoirs after primary and secondary recovery period is to apply the method of Enhanced Oil Recovery (EOR). Screening of EOR on the characteristics of the reservoir rock and Àuid 'N' indicates that the suitable method is the injection of alkali surfactant polymer (ASP). This paper presents the results of laboratory tests to increase the oil recovery in the reservoir 'N' with ASP injection. The purpose of the laboratory testing was to determine the additional oil recovery by injecting a solution of ASP in the reservoir rock 'N'. Based on the results of compatibility, interfacial tension, rheology, thermal stability, filtration and static adsorption test on an ASP Àuid injection, the optimum concentration of each of the injection Àuid is obtained. Referring to the optimum concentration of the ASP, then the core Àooding test design based on a predetermined Àuid injection. The main result of the Àooding test cores showed an increase in oil recovery as much as 21.84% OOIP. When the results of the laboratory test was applied to the field scale by injecting Àuid into the reservoir ASP 'N', then the estimated potential increase in oil production as much as 11.457 million bbl.

Synthesis and solution properties of poly(p,α dimethylstyrene-co-maleic anhydride): The use of a monomer potentially obtained from renewable sources as a substitute of styrene in amphiphilic copolymers

The use of p,α-dimethylstyrene, potentially obtainable from renewable sources, as a substitute for styrene in the synthesis of amphiphilic copolymers is reported in this work. A series of novel poly(p,α-dimethylstyrene-co-maleic anhydride) (SMA) copolymers was synthesized, characterized, and studied as potential polymeric surfactants. After hydrolysis, the copolymers solution properties were compared to the similar and very well-known styrene-maleic acid copolymers. Both series of copolymers were synthesized using reversible addition-fragmentation chain transfer-mediated polymerization (RAFT), and a sample of poly(p,α-dimethylstyrene-co-maleic anhydride) was synthesized via classical free radical polymerization. The synthesized copolymers were studied from the point of view of their solution properties, with particular attention to the influence of the macromolecular and chemical structure on the surface tension of their aqueous solutions. Our results suggest that p,α-dimethylstyrene can be employed in copolymers with maleic anhydride, the resulting material being a valid alternative to SMA copolymers for various applications, such as emulsifiers and dispersants. Furthermore, the DMSMA series seems to be slightly more surface active than SMA.

Application of α-MnO2 nanoparticles for residual oil mobilization through surfactant polymer flooding.

Injection of surfactant and polymer slug is among the most effective chemical enhanced oil recovery processes. The only problem encountered with the surfactant polymer (SP) flooding is the loss of surface-active agents that reduce the efficiency of surfactants in the chemical slug. Various attempts to modify SP flooding have been made previously so that the surfactant loss due to adsorption could be reduced. Nanoparticles (NPs) are one of the most effective ways of reducing surfactant adsorption as surfactant particles are held in the liquid phase by nanoparticles, resulting in lower surfactant losses due to adsorption. However, the high cost of the NPs limits their use on the field scale. To encounter this problem, the present study focuses on the application of the manganese dioxide NPs, synthesized through a green route that is economically viable. These NPs are found to be cost-effective as compared to commercially available NPs as well as the synthesis of these NPs does not require the use of toxic chemicals. The 1000ppm NPs effectively reduced the surfactant adsorption by 46%. The surface tension was lowered from 29.4 to 26.1 mN/m when 1000ppm NPs were applied to 2500ppm surfactant solution. Also, the nanoparticles were found to increase the viscosity of the chemical slug by increasing the solid particles present in the slug. The sand pack flooding experiments were carried out to assess the crude oil mobilization ability of the NPs assisted SP flooding. The oil recovery was found to increase from 5% of the original oil in place, resulting in ~ 75% of the crude oil recovery, which was only ~ 70% when NPs were not introduced into the system.

Design and application of an alkaline–surfactant–polymer (ASP) slug for enhanced oil recovery: a case study for a depleted oil field reservoir

Three chemicals alkali, surfactant, and polymer owing to their unique properties were thoroughly investigated on a laboratory scale to identify an optimal chemical enhanced oil recovery (CEOR) slug for depleted oil field reservoirs. A series of laboratory-scale experiments were conducted on crude oil (CO) and a reservoir rock of Barail formation. CEOR combinations were studied based on interfacial tension (IFT), emulsion stability, thermal stability, phase behavior analysis, rheology study, core flooding, economic evaluation, and modeling and simulation for optimization of CEOR application. Three anionic surfactants black liquor (BL), sodium dodecyl sulfate (SDS), and sodium dodecyl benzene sulfonate (SDBS), three nonionic surfactants Triton X-405 (TX 405), Tergitol 15-s-7 (TG7), and Tergitol 15-s-9 (TG9) were chosen for the study. The addition of co-surfactant propan-2-ol and alkali sodium hydroxide (NaOH) resulted in a much lower IFT of the SA slug up to 0.05 mN/m. Emulsification of a combined SA slug containing SDBS, TG9, propan-2-ol, and NaOH was found to be maximum whereas all the samples were observed to be thermally stable. Laboratory core flooding study of the designed ASP gave an overall recovery efficiency of 33.25% at 12.566 chemical cost ($)/incremental bbl oil whereas simulation run resulted in a recovery of 47%.

Surfactant chemistry and polymer choice affect single-wall carbon nanotube extraction conditions in aqueous two-polymer phase extraction

Quantitative determination of the effects of surfactant chemistry and polymer chain length on the concentration conditions necessary to yield extraction of specific single-wall carbon nanotube (SWCNT) species in an aqueous two-polymer phase extraction (ATPE) separation are reported. In particular, the effects of polyethylene glycol (PEG) chain length, surfactant ratios, and systematic structural variations of alkyl surfactants and bile salts on the surfactant ratios necessary for extraction were investigated using a recently reported fluorescence-based method. Alkyl surfactant tail length was observed to strongly affect the amount of surfactant necessary to cause PEG-phase extraction of nanotube species in ATPE, while variation in the anionic sulfate/sulfonate head group chemistry has less impact on the concentration necessary for extraction. Substitution of different bile salts results in different surfactant packings on the SWCNTs, with substitution greatly affecting the alkyl surfactant concentrations required for (n,m) extraction. Finally, distinct alkyl-to-bile surfactant ratios were found to extract specific (n,m) SWCNTs across the whole effective window of absolute concentrations, supporting the hypothesized competitive adsorption mechanism model of SWCNT sorting. Altogether, these results provide valuable insights into the underlying mechanisms behind ATPE-based SWCNT separations, towards further development and optimization of the ATPE method for SWCNT chirality and handedness sorting.

Synthesis, characterization and surface activities of polymeric cationic thiol surfactants in aqueous medium

Synthesis, characterization and surface activities of polymeric cationic thiol surfactants in aqueous medium

Surface Modification of Silica Particles Taken from Waste Glass by Surfactant Treatment for Light Scattering Application

T his work aims to modify the surface of silicon dioxide particles for high dispersion property in the host matrix. Silicon dioxide powders were obtained from wasted material as broken beaker glass and reduced its particle size by high energy milling process operating at 500 rpm for 30 min. These particles can be proposed as an effective light scatterer and applied in the transparent light planar waveguide for the improvement of light emission performance. However, the main problem of using milled silica powder is the poor dispersion in the polymer matrix. Therefore, the surface modification method is a key role to resolve this obstacle by using polymer surfactant agents as polyvinyl alcohol, polyethylene glycol, and sodium hexametaphosphate. The proper polymer surfactant in the surface modification on silica powders has been revealed. The particle size of each condition was analyzed by a particle analyzer. Modified silica particle size with polymer surfactants trended to decrease lower than 1 μm owing to good dispersion of the particles by polymer chain and interaction between silica and surfactant surface. Chemical functional groups on modified silica powders were investigated by Fourier transform-infrared (FT-IR) spectroscopy. FTIR spectra shown that main chemical components of all samples were composed of silica and borate chemical bonding. Meanwhile, the O-H stretching vibration appeared in the spectra was a key role for particle size and good dispersion of modified surface silica particles in the solution. Moreover, light scattering property and transmission of modified silica with polymer surfactants in dispersion solution were detected by luminance meter and UV-Vis spectrometer to confirm its possibility for application in light scattering material. The best polymer surface for milled silica surface modification in this work was obtained from polyvinyl alcohol, which proved that the adjustment of surface charge and physical properties on the silica surface.

Polymer-Surfactant Flooding in Low-Permeability Reservoirs: An Experimental Study.

Chemical flooding technology has been widely applied in medium- and high-permeability reservoirs. However, it is rarely applied in low-permeability reservoirs, which is mainly limited by reservoir physical properties, chemical agents, injection capacity, and so forth. In this paper, a novel chemical formula used in low-permeability reservoirs was developed. In response to the low-permeability reservoir geological characteristics, fluid properties, and water flooding development of the target block, some experimental studies and field project studies of polymer–surfactant flooding were carried out. The surfactant structure and polymer molecular weight were determined from laboratory experiments. The polymer–surfactant binary system was synthesized. It had good injectivity in low-permeability reservoirs, and its oil recovery efficiency increased over 10% in the laboratory experiment. The result was higher than that of single chemical flooding. After field implementation, initial results have been achieved with an increase in injection pressure. The chemical formula can effectively alleviate intra-layer and inter-layer contradictions in the reservoir. The project has increased oil output by 77,700 t and the recovery factor by 3.5%. The experience and lessons were of great significance for the development of chemical flooding in high-temperature, high-salinity, and low-permeability reservoirs.

Predicting the surfactant-polymer flooding performance in chemical enhanced oil recovery: Cascade neural network and gradient boosting decision tree

Surfactant-polymer flooding is one of the most important enhanced oil recovery (EOR) techniques, which refers to the injection of surfactant slugs and polymer drives. Two crucial decision-making parameters in EOR operations are net present value (NPV) and oil recovery factor (RF). Herein, various intelligent models, based on multilayer perceptron (MLP), cascade neural network (CNN), radial basis function (RBF), neural networks as well as support vector regression (SVR), and decision tree (DT) algorithms are proposed toward estimating these two parameters with respect to polymer drive size, surfactant slug size, the salinity of polymer drive, Kv/Kh ratio, surfactant concentration, and polymer concentration in polymer drive and surfactant slug. The results exhibited the outperformance of the CNN model trained with the Levenberg Marquardt algorithm in forecasting the RF and NPV with average absolute errors of 0.66% and 1.95%, respectively. Moreover, the results of the sensitivity analysis reflected that the most effective inputs on the predicted value of RF were surfactant concentration and surfactant slug size, while surfactant concentration and polymer concentration in surfactant slug could considerably affect the NPV model’s output. Lastly, the outlier detection analysis revealed that the employed data is valid and only two points were detected as outliers.