Published 2003 | Version v1
Miscellaneous

A stochastic model to predict the formation of oil-mineral aggregates

  • 1. Dalhousie Univ., Halifax, NS (Canada). Inst. of Oceanography
  • 2. Bedford Inst. of Oceanography, Dartmouth, NS (Canada)

Description

Theories for the natural attenuation of shores oiled by accidental spills have changed over the years. A new hypothesis has emerged which links the formation of oil-mineral aggregates (OMA) to improved rates of removal and biodegradation of stranded oil, but no model exists for this process. This paper proposes a new stochastic model based on the Monte Carlo method to calculate the formation time and the concentration of OMA in a typical turbulent estuarine environment. In particular, the model determines the effect of sediment size and concentration on OMA concentration. The assessment of both light and heavy oils showed that sedimentation is the main factor responsible for the formation of stable OMAs. Ideal conditions are when the size ratio varies between 0.1 and 0.4. At lower concentrations, the percentage of stabilized oil is negligible. Modeling results were found to be in good agreement with experimental data. For concentration ratios larger than 3, three minutes was found to be sufficient to stabilize all of the oil. Future work will concentrate on the effects of floc breakage, aggregation due to differential settling, and the real size distribution of sediment grains and oil droplets. 32 refs., 7 figs

Part of:
Proceedings of the 26. Arctic and Marine Oilspill Program (AMOP) Technical Seminar

Additional details

Publishing Information

Publisher
Environment Canada
Imprint Place
Ottawa, ON (Canada)
Imprint Title
Proceedings of the 26. Arctic and Marine Oilspill Program (AMOP) Technical Seminar
Imprint Pagination
1116 p.
Journal Page Range
p. v.2, 893-909

Conference

Title
26. Arctic and Marine Oilspill Program (AMOP) Technical Seminar
Dates
10-12 Jun 2003
Place
Victoria, BC (Canada)

INIS

Country of Publication
Canada
Country of Input or Organization
Canada
INIS RN
34059662
Subject category
S54: ENVIRONMENTAL SCIENCES; S02: PETROLEUM; S99: GENERAL AND MISCELLANEOUS;
Resource subtype / Literary indicator
Conference, Non-conventional Literature
Descriptors DEI
CLAYS; COMPUTERIZED SIMULATION; DISPERSIONS; DROPLETS; FLOCCULATION; MONTE CARLO METHOD; OIL SPILLS; PARTICLE SIZE; PRECIPITATION; SHORES
Descriptors DEC
ACCIDENTS; CALCULATION METHODS; COASTAL REGIONS; MINERALS; PARTICLES; PRECIPITATION; SEPARATION PROCESSES; SILICATE MINERALS; SIMULATION; SIZE

Optional Information

Notes
Imprint:Published in 2 volumes.