University Links: Home Page | Site Map
Covenant University Repository

Dataset on modelling natural surfactant adsorption derived from non-e dible see d oil (linseed oil) on sandstone reservoir rock

Awelewa, Kehinde and Ogunkunle, Fred and Olabode, Oluwasanmi and Oni, Babalola and Abraham, V. D. and Adeleye, Samuel and Ifeanyi, Samuel (2023) Dataset on modelling natural surfactant adsorption derived from non-e dible see d oil (linseed oil) on sandstone reservoir rock. Data in Brief, 50. ISSN 2352-3409

[img] PDF
Download (1MB)


Surfactant flooding is adjudged one of the most promis- ing chemicals enhanced oil recovery (cEOR) methods due to its high microscopic sweep efficiency. This surfactant shows high potential in mobilizing trapped residual oil (ganglia) through excellent lowering of the interfacial tension (IFT) be- tween the crude oil-aqueous interface to ultra-low values while favorably altering the wettability (oil-wet to water- wet). Surfactant adsorption is a critical factor that deter- mines how successful this cEOR method will be as well as the project economics. Surfactant retention due to adsorption caused majorly by electrostatic forces of attraction between hydrophilic head, and the positive and negative charges of the adsorbent solid surface leading to insufficiency of the remaining surfactant concentration in the injected slug to achieve the supposed ultralow IFT needed for mobilization. This article describes the experimental data on the adsorp- tion of a natural surfactant derived from linseed oil and the results from its adsorption isotherm modelling. This anionic surfactant (LSO-derived) has a CMC value of 2500 ppm, av erage fractional removal of 0.60 under a range of concen- trations (50 0, 10 0 0, 20 0 0, 40 0 0, 80 0 0, and 120 0 0 ppm), with the adsorption kinetics revealing that adsorption den- sity rises as a function of time with increasing adsorbate concentrations. Five different classical adsorption isotherm models were explored- in the form three (Redlich–Peterson or R-P ), two (Langmuir, Freundlich, Temkin), one (Linear- Henry) parameters models. Their characteristics adsorption parameters were calculated, with highest adsorption capac- ity value of 2.955mg/g obtained from the simulation using OriginPro 2021 Software. The analysis demonstrates that the R-P model provided the greatest fit as a hybrid model with the highest correlation coefficient value. The kinetic adsorp- tion models Pseudo-First Order (PFO), Pseudo-Second Order (PSO), Pseudo-Nth Order (PNO), and Intra-Particle Diffusion (IPD), as well as their thermodynamic property model, were also examined in addition to static isotherm models. On aver- age, using non-linear regression approach, PSO and PNO pro- vided the best appropriate fit models under this hypothesis, with correlation values of the nth order ranging from 0.443 to 2.122 (excluding 5.847 the non-converged fit value). Prior to thermodynamic analysis, it was confirmed by the IPD with multi-linear graphical characteristics that intra-particle trans- port was not the only rate-limiting step in adsorption pro- cesses and proceeded spontaneously by the This model can be utilized to design a template for LSO surfactant-rock ad- sorption in chemical flooding schemes for EOR applications.

Item Type: Article
Uncontrolled Keywords: Surfactant adsorption Chemical enhanced oil Recovery Interfacial tension
Subjects: T Technology > TP Chemical technology
Divisions: Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User: nwokealisi
Date Deposited: 25 Sep 2023 14:08
Last Modified: 25 Sep 2023 14:08

Actions (login required)

View Item View Item