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Record W2077846616 · doi:10.2118/2003-142

Interactions of Alkaline Solutions With Oil- Brine-Rock Systems in ASP Flood Processes

2003· article· en· W2077846616 on OpenAlexafffund
W. Wang, Yongan Gu

Bibliographic record

VenueCanadian International Petroleum Conference · 2003
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsUniversity of Regina
FundersPetroleum Technology Research Centre
KeywordsCitationBrineChemistryComputer scienceChemical engineeringLibrary scienceEngineeringOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Alkali plays a unique role in the alkaline/surfactant/ polymer (ASP) flood processes. It has been well recognized that the injected alkali can generate the surfactants in situ by reacting with the organic acids in the crude oil. Such generated surfactants will reduce the interfacial tension (IFT) and mobilize the residual oil in a reservoir. On the other hand, the reservoir rock surface will become more negatively charged at higher hydroxyl ion concentrations. These ions adsorbed onto the rock surface not only deter the adsorption of anionic chemicals, such as anionic surfactants and polymers, but also alter its wettability. In this paper, an experimental study is conducted on the interactions of alkaline solutions with oil-brine-rock systems in ASP flood processes. First, the total alkaline loss is determined by measuring the alkaline concentration change. Physically, alkaline loss is caused by the pair interactions of alkalioil, alkali-brine, and alkali-rock, respectively. The alkaline loss due to the alkali-oil chemical reactions mainly depends on the acid number of the crude oil. The alkaline loss also occurs when alkali reacts with the divalent cations in the brine, such as Ca2+ and Mg2+. The adsorption of alkali onto the rock surface is usually considered as the largest portion of the total alkaline loss, given the enormous rock surface area available in a reservoir. In addition, the silicon dissolution caused by the alkali-rock chemical reactions is quantified in terms of sand loss. Secondly, the IFT is measured as a function of alkaline concentration by using the axisymmetric drop shape analysis (ADSA) technique for the pendant drop case. Thirdly, the interactions among alkali, surfactant and polymer are studied. Furthermore, the coreflood tests of alkaline flood are performed and the detailed coreflood results show that alkaline flood can enhance oil recovery up to 12.7%. It is also found that the alkali remaining in the produced fluids can be effectively reused for further enhancing oil recovery. Introduction It is well known that a typical oil recovery for waterflooding is usually around 30-40%. Thus, there is still 60-70% original oil in place (OOIP) left in the reservoir in the form of oil ganglia. This residual oil is trapped mainly due to high capillary pressure, i.e., high IFT at the oil-brine interface. Further oil recovery can be enhanced by increasing the oil displacement efficiency and the sweep efficiency simultaneously (1–4). ASP flood is a promising EOR technique applied to recover the residual oil. The major EOR mechanisms of ASP flood are described as follows. In conjunction with the added surfactant, the surfactants generated in situ by the chemical reactions between the injected alkali and the natural organic acids in the crude oil can result in ultralow IFT. The ultra-low IFT at the oil-brine interface helps to emulsify and mobilize the residual oil in a reservoir. In addition, the reservoir rock surface becomes more negatively charged at higher hydroxyl ion concentrations. These negatively charged ions not only prevent the adsorption of anionic chemicals, such as anionic surfactants and polymers, but also change the wettability of the rock surface (5–6)

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How this classification was reachedexpand

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.570
Threshold uncertainty score0.988

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 head0.015
GPT teacher head0.224
Teacher spread0.208 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2003
Admission routes2
Has abstractyes

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