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Record W4237584561 · doi:10.2118/2002-109

Alkaline/Surfactant/Polymer (ASP) Flood Potential in Southwest Saskatchewan Oil Reservoirs

2002· article· en· W4237584561 on OpenAlexaffabout
Mingzhe Dong

Bibliographic record

VenueCanadian International Petroleum Conference · 2002
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsSaskatchewan Research Council (Canada)
Fundersnot available
KeywordsPulmonary surfactantFlood mythPetroleum engineeringPolymerEnvironmental scienceGeologyChemistryGeographyArchaeologyOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Most of the medium oil reservoirs in southwest Saskatchewan are in thin pay zones of less than eight meters. Primary and waterflood methods have reached more than 80% of their estimated oil recovery potential. These medium oil reservoirs are basically untouched by enhanced oil recovery techniques. An initial study was conducted to assess the suitability of ASP flooding for southwest Saskatchewan reservoirs. On the basis of screening criteria in the literature, the region's reservoir conditions, except for some of the formation types, are favorable for ASP flooding. If only sandstone formations are considered for this process, about 49% of the pools in the region are good candidates for ASP flooding. Extensive oil/water interfacial tension and viscosity measurements were taken to screen surfactant, alkaline and polymer for a medium oil from the region. A series of coreflood tests were conducted in sandpacks to evaluate ASP flooding for the oil. A tertiary oil recovery of 39% IOIP (72% ROIP) was obtained for the test using all three chemicals. These coreflood results showed that a synergistic enhancement among the chemicals did occur in the ASP system for the medium oil with a very low acid number. The results also indicated that, for a medium oil, mobility control was essential and selection of the right surfactant was important. Introduction Oil reservoirs located in southwest Saskatchewan, with 3.1 billion barrel proven oil, are characerized by thin pay (two to eight meters in thickness) and shaly sand. The estimated oil recovery by primary and secondary methods from these reservoirs is about 25% initial oil in place (IOIP).1 Waterfloods in most of these reservoirs have experienced early water breakthrough and high water cut due to the high oil-to-water viscosity ratio. For some of these reservoirs, waterfloods have nearly reached their economic limit. For achieving additional oil recovery and consequent financial benefits, the development of an enhanced oil recover technique is essential. Chemical enhanced oil recovery methods mainly include micellar/polymer flooding, alkaline flooding, polymer flooding and combinations of two or all of the three methods. Extensive studies on these processes have found that successful chemical flooding needs to be able to lower efficiently the oil/ water interfacial tension and to have a very good mobility control. The displacement mechanism of an ASP flood is similar to that of micellar/polymer flooding except that much of the surfactant is replaced by low-cost alkali. Therefore, the overall cost is lower even through the chemical slugs can be larger. Polymer is usually incorporated in the larger, dilute slug. It has been recognized that the oil recovery can be greatly improved by the synergism of chemicals used in the ASP formulations. ASP processes are also being tested in the field. A field-wide project in Wyoming reports costs of US $1.6 to $3.5/bbl of incremental oil produced.2 The economic analysis of two ASP pilot tests in Daqing oil field, China, showed that the chemical cost was US $21 to $28/tonne ($3–4/bbl) of incremental oil produced.3

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.713
Threshold uncertainty score0.571

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.197
Teacher spread0.186 · 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 source (direct Gemma or distilled Codex), 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

Citations5
Published2002
Admission routes2
Has abstractyes

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