Biomarker compounds that derived from early living organisms play an important role in oil and gas geochemistry and exploration since they can record the diagenetic evolution of the parent materials of crude oil and reflect the organic geochemical characteristics of crude oil and source rocks. To offer scientific basis for oil exploration and exploitation for study area, gas chromatography-mass...

Planktonic copepods play a key function in marine ecosystems, however, little is known about the effects of dispersants and chemically dispersed crude oil on these important planktonic organisms. We examined the potential for the copepods Acartia tonsa, Temora turbinata and Parvocalanus crassirostris to ingest crude oil droplets and determined the acute toxicity of the dispersant Corexit(®) 950...

The oil palm tree, Elaeis guineesis, is the source of palm oil, otherwise known as the "tropical golden oil". To date, Malaysia and Indonesia are the leading producers of palm oil. Palm oil is widely used for domestic cooking in Malaysia. Palm oil is a rich source of phytonutrients such as tocotrienols, tocopherol, carotene, phytosterols, squalene, coenzyme Q10, polyphenols, and phospholipids. ...

The BP Deepwater Horizon Oil Disaster was the most catastrophic offshore oil spill in U.S. history, yet we still have a poor understanding of how organisms could evolve in response to the toxic effects of crude oil. This study offers a rare analysis of how fitness-related traits could evolve rapidly in response to crude oil toxicity. We examined evolutionary responses of populations of the comm...

This study investigated the consequences of exposure to crude oil on components of the immune system of male rats. A total of 40 male albino rats were used for the experiment. Exposure to crude oil was achieved by oral administration of increasing doses (low, medium and high) of Nigerian Qua Iboe Brent crude oil to the rats every other day for 4 weeks. Haematological parameters, relative weight...

this research studies the application of hybrid algorithms for predicting the prices of crude oil. brent crude oil price data and hybrid intelligent algorithm (time delay neural network, probabilistic neural network, and fuzzy logic) were used to build intelligent decision support systems for predicting crude oil prices. the proposed model was able to predict future crude oil prices from august...

The remediation of oil contaminated soils has been a major problem in oil producing countries and recently use of plants to clean such soils has been on investigation. In order to identify plants that can enhance the remediation of crude oil contaminated soil, the effect of the growth of G. max on the physico-chemistry and crude oil content of soil contaminated with different concentrations of ...

In this paper we examine whether WTI and Brent crude oil spot and futures prices (at one, three and six months to maturity) contain a unit root with one and two structural breaks, employing weekly data over the period 1991-2004. To realize this objective we employ Lagrange Multiplier (LM) unit root tests with one and two endogenous structural breaks proposed by Lee and Stazicich (2003, 2004). W...

Fluctuations in crude oil price significantly impact the global economic market. A rise or a fall leads to redistribution of wealth in both oil-exporting and importing countries. Under such background, efficient and accurate predictions for crude oil price are critical for a stable economic development. However, crude oil price forecasting has been proved to be an extremely tough task, due to i...

Among four crude oil-degrading fungi strains that were isolated from a petroleum-polluted area in the Rumaila oil field, two fungi strains showed high activity in aliphatic hydrocarbon degradation. ITS sequencing and analysis of morphological and biochemical characteristics identified these strains as Penicillium sp. RMA1 and RMA2. Gravimetric and gas chromatography analysis of the crude oil re...