Use of optimization modeling to evaluate industrial waste reduction options: Application to a sour gas plant

Journal Article · Sat Jan 01 04:00:00 EST 1994 · Waste Management; (United States)

DOI:https://doi.org/10.1016/0956-053X(94)90037-X· OSTI ID:7054149

Roberge, H D ^[1]; Sikora, R P ^[2]; Baetz, B W ^[3]

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1. BEAK Consultants Ltd., Montreal, Quebec (Canada)
2. Gulf Canada Resources Ltd., Calgary, Alberta (Canada)
3. McMaster Univ., Hamilton, Ontario (Canada). Dept. of Civil Engineering

This note reports on a study of waste reduction options for the upstream oil and gas industry and involves the application of a waste reduction optimization model to a generic sour gas plant. The waste reduction optimization model is meant as an aid for decision-making relating to the implementation of waste reduction options. The generic facility was developed from process knowledge provided by industry members of a project steering committee, as well as waste management information from industry manuals and represents a facility of average capacity and typical configuration. Several waste minimization options were modeled for selected waste streams. The selected streams were chosen based upon waste flows and disposal costs and their potential for waste reduction. The results of the modeling for the generic sour gas plant have shown that a set of cost-effective waste reduction options exist, there is significant potential for reducing the total quantity of waste to be managed and disposed of, and that implementation of the options would lead to considerable cost savings. The value and usefulness of the modeling approach lie not only in the generated results, but also in the fact that to construct the model, relevant waste flows and every possible manner that these waste flows can be minimized or processed are systematically identified. Once modeled, the parameters can be readily manipulated to determine various possible waste management strategies. To effectively use the modeling approach, the waste reduction team should have knowledge of the plant processes, existing waste management practices and costs, information on potential waste reduction options and technologies, as well as experience in mathematical modeling and analysis.

• OSTI ID: 7054149
• Journal Information: Waste Management; (United States), Journal Name: Waste Management; (United States) Vol. 14:7; ISSN WAMAE2; ISSN 0956-053X
• Country of Publication: United States
• Language: English

Related Subjects

03 NATURAL GAS
030300 -- Natural Gas-- Drilling
Production
& Processing
030700* -- Natural Gas-- Waste Management
INDUSTRIAL WASTES
INDUSTRY
MANAGEMENT
MATHEMATICAL MODELS
MINIMIZATION
NATURAL GAS INDUSTRY
WASTE MANAGEMENT
WASTES