Optimization, modeling and its conformity with the reality of physico-chemical and microbial processes of petroleum hydrocarbons reduction in soil: a case study of Tehran oil refinery

2018 ◽  
Vol 77 (9) ◽  
Author(s):  
Maryam Farahani ◽  
Dariush Mahmoudi
Keyword(s):  
Petroleum Hydrocarbons ◽  
Microbial Processes ◽  
Oil Refinery ◽  
Optimization Modeling ◽  
Physico Chemical

Relationships between physico-chemical, biological and functional approaches for soil quality assessment. A case study along a gradient of disturbance

2021 ◽  
Vol 104 ◽  
pp. 103300
Author(s):  
Pusanisa Heepngoen ◽  
Alexis Thoumazeau ◽  
Marie-Sophie Renevier ◽  
Kannika Sajjaphan ◽  
Frédéric Gay ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Soil Quality ◽  
Physico Chemical ◽  
Soil Quality Assessment

Attenuation of Petroleum Hydrocarbons by Weathering: A Case Study

2006 ◽  
Vol 3 (4) ◽  
pp. 422-433 ◽  
Author(s):  
Leo C. Osuji ◽  
Inimfon A. Udoetok ◽  
Regina E. Ogali
Keyword(s):  
Petroleum Hydrocarbons

Seasonal succession of estuarine fish, shrimps, macrozoobenthos and plankton: Physico-chemical and trophic influence. The Gironde estuary as a case study

2012 ◽  
Vol 112 ◽  
pp. 243-254 ◽  
Author(s):  
Jonathan Selleslagh ◽  
Jérémy Lobry ◽  
Aimé Roger N'Zigou ◽  
Guy Bachelet ◽  
Hugues Blanchet ◽  
...  
Keyword(s):  
Seasonal Succession ◽  
Estuarine Fish ◽  
Gironde Estuary ◽  
Physico Chemical

Gas production during the pyrolysis and gasification of biological and physico-chemical sludges from oil refinery

2013 ◽  
Vol 103 ◽  
pp. 167-172 ◽  
Author(s):  
Julia Moltó ◽  
Agustín G. Barneto ◽  
José Ariza ◽  
Juan A. Conesa
Keyword(s):  
Gas Production ◽  
Oil Refinery ◽  
Physico Chemical

Decision Support Model for Fire Insurance Risk Analysis in a Petrochemical Case Study

2015 ◽  
pp. 990-1004
Author(s):  
Hadis Z. Nejad ◽  
Reza Samizadeh
Keyword(s):  
Decision Support ◽  
Risk Analysis ◽  
Oil And Gas ◽  
Oil Refinery ◽  
Decision Support Model ◽  
Analysis Methodology ◽  
Damage Costs ◽  
Fire Insurance ◽  
Margin Of Error

A decision support system was researched and applied to a case study in the petrochemical industry. The participants were an insurance company underwriting the policies of oil and gas refineries located in a major oil producing nation. The Chemical Process Quantitative Risk Analysis methodology was applied as a framework to implement uncertainty quantification and risk analysis using a specialized commercial DSS software product. A gas vapor explosion was simulated at an oil refinery, to predict the fire and radiation damage. Costs and risks were entered into the model based on historical data. Loss estimates were generated for equipment and buildings located various distances (pressures) from the explosion origin. Overall, the DSS model predicted an expected loss of over $14,000,000 USD for equipment located in the 50 meter explosion radius, which represented a loss ratio of almost 52%. The losses predicted from the DSS model were comparable to the literature and to experiences of the case study company. The margin of error from the DSS model was less than ±5% which made it very reliable according to benchmarks.

Monitoring Urban River Water Quality Using Macroinvertebrate and Physico-Chemical Parameters: Case study of Penchala River, Malaysia

2013 ◽  
Vol 13 (6) ◽  
pp. 474-482 ◽  
Author(s):  
Akmal Mahazar ◽  
Mohammad Shuhaimi-O ◽  
Ahmad Abas Kutty ◽  
Mohamed Nor Mohamed De
Keyword(s):  
Water Quality ◽  
River Water ◽  
River Water Quality ◽  
Urban River ◽  
Chemical Parameters ◽  
Physico Chemical
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