Fourier transform ion cyclotron resonance mass spectrometry(FT-ICR MS) has become a powerful tool for analyzing the detailed composition of petroleum samples. However, the correlation between the numerous peaks obtain...Fourier transform ion cyclotron resonance mass spectrometry(FT-ICR MS) has become a powerful tool for analyzing the detailed composition of petroleum samples. However, the correlation between the numerous peaks obtained by FT-ICR MS and bulk properties of petroleum samples is still a challenge. In this study, the internal standard method was applied for the quantitative analysis of four straight-run vacuum gas oils(VGO) by atmospheric pressure photoionization(APPI) FT-ICR MS. The heteroatom class distribution of these VGO samples turned to be different when the concentration changed. Linear relationship between the normalized abundance and the concentration of VGO samples was identified for the total aromatic compounds, aromatic hydrocarbons, S1 and N1 species. The differences of the response factors were also discussed. The sulfur contents of a series of crude oils were proved to be linear with the FT-ICR MS data calibrated by the response factor of S1 species. This study demonstrated the feasibility of the internal standard method in quantitative analysis with APPI FT-ICR MS, and the bulk properties of petroleum samples could be correlated directly with the FT-ICR MS data.展开更多
This study was conducted in Mgbede, River State, Nigeria, hosting up to, or even more than 100 oil wells. It examined the relationship between the bearing capacity of crude oil contaminated soil and the percentage con...This study was conducted in Mgbede, River State, Nigeria, hosting up to, or even more than 100 oil wells. It examined the relationship between the bearing capacity of crude oil contaminated soil and the percentage contamination. Four uncontaminated soil samples were randomly collected at 1.5 m depth within the oil field with hand auger and analyzed for the load bearing properties limited to cohesion, angle of internal friction and bulk density. With these parameters, the bearing capacity was determined for each sample. Crude oil, collected from one of the oil wells with viscosity 0.02611 poises at 40~C and specific gravity 0.8227 g/cm3, was used as the contaminant. This was mixed with the soil sample at 5%, 10%, 15% and 20% concentrations. The mean values of the bearing capacity were 582.458 KN/m2, 495.35 KN/m2 for square and strip footings respectively at 0% contamination, 240.735 KN/m2 and 204.753 KN/m2 at 5%, 321.683 KN/m2 and 274.593 KN/m2 at 10%, 127.003 KN/m2 and 109.12 KN/m2 at 15%, 105.28 KN/m2 and 90.758 KN/m2 at 20% for square and strip footings, respectively. The results showed a consistent decrease in the load bearing values as the crude oil content increased. The result of the null hypothesis established a strong and significant relationship between the bearing capacity of crude oil contaminated soil and the percentage contamination.展开更多
基金supported by the Major State Basic Research Development Program of China(973 Program,No.2012CB224801)
文摘Fourier transform ion cyclotron resonance mass spectrometry(FT-ICR MS) has become a powerful tool for analyzing the detailed composition of petroleum samples. However, the correlation between the numerous peaks obtained by FT-ICR MS and bulk properties of petroleum samples is still a challenge. In this study, the internal standard method was applied for the quantitative analysis of four straight-run vacuum gas oils(VGO) by atmospheric pressure photoionization(APPI) FT-ICR MS. The heteroatom class distribution of these VGO samples turned to be different when the concentration changed. Linear relationship between the normalized abundance and the concentration of VGO samples was identified for the total aromatic compounds, aromatic hydrocarbons, S1 and N1 species. The differences of the response factors were also discussed. The sulfur contents of a series of crude oils were proved to be linear with the FT-ICR MS data calibrated by the response factor of S1 species. This study demonstrated the feasibility of the internal standard method in quantitative analysis with APPI FT-ICR MS, and the bulk properties of petroleum samples could be correlated directly with the FT-ICR MS data.
文摘This study was conducted in Mgbede, River State, Nigeria, hosting up to, or even more than 100 oil wells. It examined the relationship between the bearing capacity of crude oil contaminated soil and the percentage contamination. Four uncontaminated soil samples were randomly collected at 1.5 m depth within the oil field with hand auger and analyzed for the load bearing properties limited to cohesion, angle of internal friction and bulk density. With these parameters, the bearing capacity was determined for each sample. Crude oil, collected from one of the oil wells with viscosity 0.02611 poises at 40~C and specific gravity 0.8227 g/cm3, was used as the contaminant. This was mixed with the soil sample at 5%, 10%, 15% and 20% concentrations. The mean values of the bearing capacity were 582.458 KN/m2, 495.35 KN/m2 for square and strip footings respectively at 0% contamination, 240.735 KN/m2 and 204.753 KN/m2 at 5%, 321.683 KN/m2 and 274.593 KN/m2 at 10%, 127.003 KN/m2 and 109.12 KN/m2 at 15%, 105.28 KN/m2 and 90.758 KN/m2 at 20% for square and strip footings, respectively. The results showed a consistent decrease in the load bearing values as the crude oil content increased. The result of the null hypothesis established a strong and significant relationship between the bearing capacity of crude oil contaminated soil and the percentage contamination.
