Study of a mature petroleum play in the Western Canada Sedimentary Basin (WCSB) indicates that the spatial distribution of petroleum accumulations exhibits a self-affinity characteristic. This characteristic motivated the examination of a fractal model for a quantitative description of petroleum resource spatial distribution. The proposed approach transforms the spatial information with respect...

The health risk resulting from benzene exposure in petroleum refineries was calculated using data from the scientific literature from various countries throughout the world. The exposure data was collated into four scenarios from petroleum refinery environments and plotted as cumulative probability distributions (CPD) plots. Health risk was evaluated for each scenario using the Hazard Quotient ...

Petroleum exploration and production is an industry that provides researchers with multi-variant challenging “real world” properties. Recently, some petroleum soft computing techniques have gained a greater interest in prediction within the oil industry. This paper is interested in the analysis, classifying, mining and predictions, based on fuzzy as an intelligent system and an intelligent syst...

A method is described for extracting the petroleum from petroleum-bearing ̄uid inclusions hosted in the diagenetic cements of sedimentary rocks, whilst minimising contamination from petroleum in the pore space. A clean-up technique, involving the addition of extraction standards to the rock prior to analysis, has been developed that allows increased con®dence that the hydrocarbons extracted are...

Biomass allocation is an important plant trait that responds plastically to environmental heterogeneities. However, the effects on this trait of pollutants owing to human activities remain largely unknown. In this study, we investigated the response of biomass allocation of Phragmites australis to petroleum pollution by a ¹³CO₂ pulse-labelling technique. Our data show that plant biomass signifi...

We analyze the predictive role of oil-price uncertainty for changes in UK unemployment rate using more than a century monthly data covering period from 1859 (when drilling first oil well started at Titusville, Pennsylvania, United States) to 2020. To this end, we use machine-learning technique known as random forests. Random forests render it possible model potentially nonlinear link between an...

This paper reports the results of a comparison of quantitative and qualitative approaches to systems analysis. The primary goal of the investigation was to test a heuristic for qualitative analysis previously proposed by the author that is intended to improve recognition of potential sources of failure for models used for forecasting. A series of papers published by John Sterman, George Richard...