DETERMINATION OF TRACE-ELEMENTS IN PETROLEUM-EXPLORATION SAMPLES BY INDUCTIVELY-COUPLED PLASMA-MASS SPECTROMETRY AND INSTRUMENTAL NEUTRON-ACTIVATION ANALYSIS

被引:32
作者
OLSEN, SD
FILBY, RH
BREKKE, T
ISAKSEN, GH
机构
[1] WASHINGTON STATE UNIV,DEPT CHEM,PULLMAN,WA 99164
[2] BREKKE CHEMO,N-6800 FORDE,NORWAY
[3] EXXON PROD RES CO,HOUSTON,TX
关键词
OIL; METAL; TRACE ELEMENT; OIL OIL CORRELATION; PETROLEUM GEOCHEMISTRY; INDUCTIVELY COUPLED PLASMA MASS SPECTROMETRY; INSTRUMENTAL NEUTRON ACTIVATION ANALYSIS; EXXON OIL SET;
D O I
10.1039/an9952001379
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
A suite of geochemical oil samples from a wide geographic area and a variety of depositional environments was analysed by INAA and ICP-MS. Good correlation between the two techniques was obtained for V, Ni and Co (r = 0.95-0.90). The correlation decreased in the order: Zn (r = 0.87), Fe, Sb, Se, U, Ti, La, As, Ba, Mn and W (r = 0.18). The contribution of trace elements to oils from produced waters, drilling fluids, biodegradation and migration has been suggested by some of the samples for which there was disagreement. Laboratory experiments confirmed that barite contributes Mn, Fe, Ga and Pb to oil samples that have not been filtered. On the ICP-MS Ba-130(2+) interferes with Cu-65(+) whereas Cu-63(+) suffers from interference by (VC+)-V-51-C-12. If formation water and produced water is not removed from the oil, the water contribution of elements e.g., As and Pr is superimposed onto the organically bound contents in the oils. In such instances, it appears that these elements are not useful in fingerprinting and classifying oils. However, when the formation water contribution is removed, elements e.g., As are shown to be geochemically significant. It has thus been demonstrated that it is important to water wash and filter oil samples before analysing for geochemical exploration purposes. This work has also shown that metals such as Zn, Cd and Pb are picked up by oils migrating through ore bodies of these metals. Prior to examining the contributions of water, barite and migration, oils could only be classified using their V, Ni and Co contents. The new understanding acquired from this work, has made it possible to identify and eliminate samples with severe contamination. Application of multivariate statistics to the V, Ni, Co, Mo, As, Sb, Fe, Mn, Zn and Bi data for the Exxon oils enabled appropriate oils to be correlated with each other.
引用
收藏
页码:1379 / 1390
页数:12
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