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Chalk Surface Area Evolution during Flow of Reactive Brines: Does Oil Play a Role?

2019· article· en· W2944401012 on OpenAlexaff
Jaspreet S. Sachdeva, Herman Muriel, Anders Nermoen, Reidar Inge Korsnes, M.V. Madland

Bibliographic record

VenueEnergy & Fuels · 2019
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsMemorial University of Newfoundland
FundersNorges Forskningsråd
KeywordsDissolutionBrineMagnesiumWettingCalciteSulfateChemistryAdsorptionDolomitePrecipitationMineral oilMineralogyChemical engineering

Abstract

fetched live from OpenAlex

Prolonged injection of magnesium chloride (MgCl 2 ) brine into water-wet chalk cores leads to dissolution of calcite and precipitation of magnesium-bearing minerals. In low permeable and highly porous chalk, the mineral surfaces dominate multiphase flow properties. The hydrophobic/hydrophilic behavior of these mineral surfaces is subject to changes when aged in oil at high temperature over time, and from mineral dissolution and precipitation processes. In this study, we evaluate to which extent chemical interactions induced by the continuous MgCl 2 brine injection modify the water wetness of chalk samples saturated by oil/water mixtures and compare the evolving results to a 100% water-saturated parallel reference test. The potential of MgCl 2 brine to improve the oil recovery after the freely movable hydrocarbons are produced is also assessed. In situ wettability measurements were carried out during the injection program using chromatographic separation, where the delay in the increase of effluent concentration of the adsorbing sulfate ion was compared to a nonaffine tracer. These measurements were performed every 10 days to estimate the evolution in mineral surface area in contact with water. The results show an increased delay time for the sulfate ion, linked to an increase of the mineral surface area. This is observed in both water-wet and mixed-wet cores, but is found to be more dominating in the mixed-wet samples. This implied that oil, which was adsorbed on the mineral surfaces, got mobilized in addition to an increased overall specific surface area as new magnesium-bearing minerals precipitated and grew during the MgCl 2 brine flow. This is supported by continuous effluent analysis displaying a reduced magnesium and increased calcium concentration. Petrophysical analysis of cores before and after flow displayed trends along the axis of the sample. Changes in density and specific surface area were more dominant on the inlet side than the outlet side. Even though magnesium (Mg 2+ ) ions in the injection brine increased the available water-wet area in the samples, the nonequilibrium chemical reactions did not lead to additional oil recovery.

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 score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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

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 head0.003
GPT teacher head0.176
Teacher spread0.173 · 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".

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Citations2
Published2019
Admission routes1
Has abstractyes

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