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Record W4249944384 · doi:10.2118/2004-147

Effect of Viscosity of Alkaline/Surfactant/Polymer (ASP) Solution on Enhanced Oil Recovery in Heterogeneous Reservoirs

2004· article· en· W4249944384 on OpenAlexaff
J. Hou, Shuhe Zhang, M. Dong, Xiangan Yue, J. Yang

Bibliographic record

VenueCanadian International Petroleum Conference · 2004
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsPulmonary surfactantViscosityPolymerChemical engineeringEnhanced oil recoveryOil viscosityChemistryPolymer solutionPetroleum engineeringMaterials scienceOrganic chemistryGeologyComposite materialEngineering

Abstract

fetched live from OpenAlex

Abstract There have been numerous laboratory experimental studies and field tests on ASP flooding. Most of the laboratory experiments focused mainly on the effect of the ultra-low oilwater interfacial tension on oil recovery. The relationship between the viscosity of ASP solution and oil recovery efficiency of ASP flooding has not been well understood. In this paper, the relationship between the viscosity of ASP solution and oil recovery in heterogeneous porous models was studied. More than 50 ASP flood tests were conducted using artificial models. These models were made to have different permeability variation coefficients so that ASP floods in homogeneous and heterogeneous reservoirs could be simulated. Sixteen ASP solutions were prepared and used in ASP flood tests. Based on the results of ASP flood tests, the effects on tertiary oil recovery of NaOH concentration and of the balance between the IFT reduction and viscosity increase were discussed. For heterogeneous models, it was found that there existed a minimum viscosity value of ASP solution for ultra-low IFT system to fully function in improving residual oil recovery. This minimum viscosity is defined as critical displacement viscosity in this study. When the viscosity of a ASP solution is lower than the critical displacement viscosity, the oil recovery efficiency of ASP flooding is dominated by the viscosity of the ASP solution; the reduction in interfacial tension to an ultralow level contributed little to oil recovery. When the viscosity is higher than the critical displacement viscosity, both the viscosity and ultra-low IFT contributed to oil recovery. This critical displacement viscosity should be one of the important parameters which can be used to optimize the chemical formula of a ASP flood for a target reservoir. Introduction As a relatively new technology of tertiary oil recovery, alkaline/surfactant/polymer (ASP) flooding has been studied extensively in the last two decades. [1–9] ASP flooding enhances oil recovery through two major mechanisms: increasing the viscosity of displacing solution to improve the sweep efficiency by using polymer and reducing oil-water interfacial tension (IFT) to a very low value (∼10–3 mN/m) to improve the pore level displacement efficiency through the synergetic effect of surfactant and alkaline. [10].Field tests and laboratory studies have shown that ASP flooding is more efficient than any single component flooding, such as alkaline, surfactant, or polymer flooding. [6–8] At present, it is a promising tertiary recovery method and is getting increasingly more attention. Seven field ASP floods have been implemented in Daqing oilfield, China. It was found that in the early stage of some tests high alkaline concentrations could cause alkaline scale problems in the oil formation and the wellbore [8,9,11]. In addition, high alkaline concentration could weaken the efficiency of polymer in increasing the viscosity of the ASP solution. Therefore, the polymer concentration in some field tests was increased from 1,200mg/L to 1,800mg/L, and then to 2,300 mg/L in order to ensure that the viscosity of ASP solution was not lower than 30mPa.s. It was predicted that, with this level of viscosity of the displacing fluid, the oil recovery of ASP flooding could be as high as 20% original oil-in-place (OOIP).

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.366
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.008
GPT teacher head0.229
Teacher spread0.221 · 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 designBench or experimental
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

Citations6
Published2004
Admission routes1
Has abstractyes

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