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Record W4401750303 · doi:10.1016/j.molliq.2024.125815

Surface-modified silica nanoparticles for enhanced oil recovery in sandstone cores

2024· article· en· W4401750303 on OpenAlex
Louey Tliba, Farad Sagala, Afif Hethnawi, Paul Glover, Robert Menzel, Ali Hassanpour

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Molecular Liquids · 2024
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsUniversity of Calgary
FundersUniversity of Leeds
KeywordsNanoparticleEnhanced oil recoveryChemical engineeringMaterials scienceSurface (topology)Petroleum engineeringMineralogyNanotechnologyGeologyEngineering

Abstract

fetched live from OpenAlex

• Cost-effective and commercially available SiO 2 nanoparticles (NP) have been explored for EOR. • Simple and one-step nanoparticles functionalisation under relatively mild conditions has been employed. • The use of PEI and TOS agents with SiO 2 NPs has been investigated for EOR. • TOS-NPs enhanced the imbibition recovery rate due to the rock wettability alteration. Enhanced Oil Recovery (EOR) techniques traditionally employ chemical flooding; however, recent integration of nanoparticles (NPs) with water flooding has demonstrated promising enhancements in oil recovery. Silica (SiO 2 ) NPs have been widely used in this regard, however, the primary challenge is their tendency to aggregate in solution due to their ultra-small size and large surface area, which can inhibit their effectiveness in EOR applications. To address this, we modified the surface of commercially sourced SiO 2 NPs using two different agents: polyethylenimine (PEI) for polymer coating and Triethoxy(octyl)silane (TOS) for covalent surface functionalisation, without any binders or preliminary coatings. The modified NPs (TOS-NPs and PEI-NPs) were characterized using techniques such as SEM, TEM, FTIR, TGA, BET and DLS. Their efficacy in EOR was evaluated within sandstone cores through measurements of contact angle, interfacial tension (IFT), and spontaneous imbibition tests. Results indicated that the surface modifications substantially improved the stability of the SiO 2 NPs. Specifically, TOS-NPs effectively altered the wettability of sandstone cores from strongly oil-wet (27⁰) to strongly water-wet (165⁰), in contrast to PEI-NPs (16⁰) and unmodified SiO 2 NPs (94⁰). IFT measurements revealed a 78 % reduction with PEI-NPs, compared to only 5 % with TOS-NPs. In spontaneous imbibition tests, TOS-NPs achieved the highest oil recovery, approximately 64.9 % without noticeable core plugging, compared to 53.0 % for the unmodified NPs and 9.8 % by PEI-NPs. These results, alongside the contact angle measurements, confirm that for the sandstone wettability alteration of the rock could be the major contributing mechanism for EOR using TOS-NPs.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.689

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.260
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it