A clustering approach for EOS lumping — Using evolutionary-based metaheuristic optimization algorithms

Talebi, Sina; Reisi, Fateme

doi:10.1016/j.petrol.2021.109149

Cited by 8 publications

(3 citation statements)

References 35 publications

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“…Thus, using a more sustainable and renewable energy source can solve the so far mentioned problems in the energy sector. 23,41 As an interesting renewable and sustainable alternative, biofuels are able to satisfy the global energy demands. Planning for large-scale biofuel production needs the installation of biorening systems, but rst-generation biofuels taken from food crops are ineffective at converting sunlight to biomass ($0.2%), which is an important parameter to precisely specify the amount of food and water needed for the production of biofuel.…”

Section: Nexus Methodologymentioning

confidence: 99%

Algal biorefinery: a potential solution to the food–energy–water–environment nexus

Talebi

Edalatpour

Tavakoli

2022

Sustainable Energy Fuels

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Section: Nexus Methodologymentioning

confidence: 99%

Algal biorefinery: a potential solution to the food–energy–water–environment nexus

Talebi

Edalatpour

Tavakoli

2022

Sustainable Energy Fuels

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“…EAs are based on the natural biological evolution of species. One example is the Differential Evolution (DE) algorithm introduced by Storn and Price 20 . The DE has drawn a considerable amount of interest and has been applied successfully in a number of contexts.…”

Section: Introductionmentioning

confidence: 99%

DGS-SCSO: Enhancing Sand Cat Swarm Optimization with Dynamic Pinhole Imaging and Golden Sine Algorithm for improved numerical optimization performance

Adegboye,

Feda,

Ojekemi

et al. 2024

Sci Rep

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This paper introduces DGS-SCSO, a novel optimizer derived from Sand Cat Swarm Optimization (SCSO), aiming to overcome inherent limitations in the original SCSO algorithm. The proposed optimizer integrates Dynamic Pinhole Imaging and Golden Sine Algorithm to mitigate issues like local optima entrapment, premature convergence, and delayed convergence. By leveraging the Dynamic Pinhole Imaging technique, DGS-SCSO enhances the optimizer's global exploration capability, while the Golden Sine Algorithm strategy improves exploitation, facilitating convergence towards optimal solutions. The algorithm's performance is systematically assessed across 20 standard benchmark functions, CEC2019 test functions, and two practical engineering problems. The outcome proves DGS-SCSO's superiority over the original SCSO algorithm, achieving an overall efficiency of 59.66% in 30 dimensions and 76.92% in 50 and 100 dimensions for optimization functions. It also demonstrated competitive results on engineering problems. Statistical analysis, including the Wilcoxon Rank Sum Test and Friedman Test, validate DGS-SCSO efficiency and significant improvement to the compared algorithms.

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“…In the past few years, there has been extensive research on nanotechnology and specifically carbon nanotubes (CNTs), which have widespread applications in medicine, agriculture, electronics, environmental issues, and so on. [46][47][48][49][50][51][52][53] Applying this new technology in the oil and gas industry can provide petroleum researchers with new solutions to tackle problems and increase the efficiency of projects. [54] Recently, there has been research on the process of low-salinity water injection in the presence of DETPMP and nanoparticles including TiO 2 , SiO 2 , and Al 2 O 3 .…”

Section: Introductionmentioning

confidence: 99%

Effect of engineered water and scale inhibitor concentration on the adsorption performance of gypsum inhibitors on multi‐walled carbon nanotubes and crushed sandstone

2023

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Engineered waterflooding is an effective process for enhanced oil recovery, but it can lead to mineral scale deposition due to the incompatibility of brines. Previous studies on scale mitigation have mainly focused on high‐temperature baryte and anhydrite scales, neglecting gypsum precipitation and inhibitors adsorption at low temperatures. Additionally, earlier research has used simple brines that do not reflect the actual injection and formation water in reservoirs. In this study, the impact of temperature, various brine mixtures, and thermodynamic databases on saturation ratio and scale precipitation is explored using PHREEQC (pH‐REdox‐EQuilibrium‐C program). The study reveals that the copresence of calcium and magnesium ions improves the gypsum inhibition efficiency of scale inhibitors (SIs) at low concentrations to a maximum of 79%. However, this effect is reversed or neutral at higher SI concentrations. The study also shows that the presence of monovalent ions reduces the adsorption of SIs by multi‐walled carbon nanotubes (MWCNTs). Removing sodium ions from seawater while leaving calcium and magnesium ions intact increases MWCNTs' adsorption capability to 93%. This is because monovalent cations attach to the adsorbent surface and block the active sites, whereas divalent cations act as a bridge between MWCNT and SIs. The study establishes that the behaviour of SIs regarding adsorption on MWCNT and crushed sandstone depends on various factors, including molecule size, calcium toleration of the SIs, point of zero charge, and solution pH. Understanding these factors can improve the effectiveness of SIs, reduce chemical costs, and prolong the life of oil wells.

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A clustering approach for EOS lumping — Using evolutionary-based metaheuristic optimization algorithms

Cited by 8 publications

References 35 publications

Algal biorefinery: a potential solution to the food–energy–water–environment nexus

Algal biorefinery: a potential solution to the food–energy–water–environment nexus

DGS-SCSO: Enhancing Sand Cat Swarm Optimization with Dynamic Pinhole Imaging and Golden Sine Algorithm for improved numerical optimization performance

Effect of engineered water and scale inhibitor concentration on the adsorption performance of gypsum inhibitors on multi‐walled carbon nanotubes and crushed sandstone

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