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Record W2060530981 · doi:10.2118/02-09-01

Experimental Work on the Behaviour of Synthetic Soils Contaminated with Light Hydrocarbon, and Subsequent Remediation Thereof

2002· article· en· W2060530981 on OpenAlexafffundabout
M. Aikman, Apostolos Kantzas, K. Mirotchnik

Bibliographic record

VenueJournal of Canadian Petroleum Technology · 2002
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaPorous Media LaboratoryUniversity of Calgary
KeywordsEnvironmental remediationContaminationLoamEnvironmental scienceSoil waterPetroleumSoil contaminationWaste managementTopsoilEnvironmental engineeringKeroseneGroundwaterOil refineryEnvironmental chemistrySoil scienceGeotechnical engineeringGeologyChemistryEngineering

Abstract

fetched live from OpenAlex

Abstract The contamination of soil by light hydrocarbons is one of the most frequently encountered environmental problems. Leakage from underground storage tanks at refueling stations is the most common source, but others are refineries or production facilities. Research at the University of Calgary has been examining the application of proven petroleum reservoir engineering methods to address this issue. By use of horizontal boreholes, and cyclic water and gas injection, the contaminant can be recovered in situ. Laboratory work has been ongoing to determine basic data on the contamination and remediation aspects of the process. In this paper, we report work that has been done to characterize the saturations during the contamination and remediation processes. Sand that typifies the grain shape and distribution of native soil was used. This sand was strongly water wet. To examine the impact of the humic acid from topsoil loam, humic acid was extracted and plated onto the sand. Characterization of the sand has been performed to demonstrate that the humic acid has bound to the surface of the sand grain, and has altered the surface wettability. Results of coreflooding also demonstrated that the performance of the organic coated sand, and the untreated sand, will lead to different contamination and remediation results. It appears that the treated sand exhibits hysteresis, for if it was originally in contact with water, it behaves as if water wet. If, instead, it was originally in contact with kerosene, it behaves as if oil wet. Introduction In our industrial world, one of the consequences of economic and technologic development is the discharge of undesirable materials into the environment. Of the many compounds released to the environment, the volume of petroleum related products released is very large. The importance of petroleum as the primary source of energy for our society is the main reason for this, reflecting the widespread usage of petroleum. The main discharge site for liquid hydrocarbons is at commercial refueling stations, from underground storage tanks ("UST") that hold gasoline. Small holes in these tanks can result from corrosion or material stress. Further locations for possible leakage are at pipe connections or flanges, where shifting soil can lead to a compromise in the integrity of the connection. It has been estimated (1) that of the roughly 1.6 million underground storage tanks in the United States, about 20% are or have discharged gasoline or diesel into the surroundings. Furthermore, conservative estimates of the cost to clean up these UST sites are around $37 billion U.S. dollars (year 2000 value). If all sites that have been contaminated by light hydrocarbons are included, such as refineries and airport tank farms, remediation is a multibilliondollar per year industry. For Canada, scaling the $37 billion (U.S.) clean up cost estimate by population and currency differences leads to an estimate of $5 billion Canadian (year 2000 value) for the clean up of contaminated sites in Canada. A significant fiscal incentive therefore exists to improve both the cost effectiveness, and also the process efficiency, of remediation.

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)0.001
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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.007
GPT teacher head0.177
Teacher spread0.171 · 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

Citations4
Published2002
Admission routes3
Has abstractyes

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