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Institution

China University of Petroleum

EducationBeijing, China
About: China University of Petroleum is a education organization based out in Beijing, China. It is known for research contribution in the topics: Catalysis & Oil shale. The organization has 39802 authors who have published 39151 publications receiving 483760 citations. The organization is also known as: Zhōngguó Shíyóu Dàxué & China University of Petroleum (Beijing).


Papers
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Journal ArticleDOI
TL;DR: The decomposition results of long-term drivers of carbon emission uncovered that trade openness contributed to reduce carbon emission in the world and the all the incomes groups in the long term, although trade openness led to increase in carbon emissions in developing countries in the short term.

110 citations

Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors measured Vp/Vs ratios of thermally cracked Westerly granite, Carrara marble and 4% porosity Fontainebleau sandstone, for an effective mean pressure ranging from 2 to 95 MPa.
Abstract: [1] We measured Vp/Vs ratios of thermally cracked Westerly granite, thermally cracked Carrara marble and 4% porosity Fontainebleau sandstone, for an effective mean pressure ranging from 2 to 95 MPa. Samples were fluidsaturated alternatively with argon gas and water (5 MPa constant pore pressure). The experimental results show that at ultrasonic frequencies, Vp/Vs ratio of water saturated specimen never exceeded 2.15, even at effective mean pressure as low as 2 MPa, or for a lithology for which the Poisson’s ratio of minerals is as high as 0.3 (calcite). In order to check these results against theoretical models: we examine first a randomly oriented cracked medium (with dispersion but without anisotropy); and second a medium with horizontally aligned cracks (with anisotropy but without dispersion). The numerical results show that experimental data agree well with the first model: at high frequency, Vp/Vs ratios range from 1.6 to 1.8 in the dry case and from 1.6 to 2.2 in the saturated case. The second model predicts both Vp/Sv and Vp/Sh to vary from 1.2 to 3.5, depending on the raypath angle relative to the crack fabric. In addition, perpendicular to the crack fabric, a high Vp/Vs ratio is predicted in the absence of shear wave splitting. From these results, we argue the possibility that high Vp/Vs ratio (>2.2) as recently imaged by seismic tomography in subduction zones, may come from zones presenting important crack anisotropy. The cumulative effects of crack anisotropy and high pore fluid pressure are required to get Vp/Vs ratios above 2.2. Citation: Wang, X.-Q., A. Schubnel, J. Fortin, E. C. David, Y. Gueguen, and H.-K. Ge (2012), High Vp/Vs ratio: Saturated cracks or anisotropy effects?, Geophys. Res. Lett., 39, L11307, doi:10.1029/2012GL051742.

110 citations

Journal ArticleDOI
TL;DR: A field test was conducted on a hydrolysis acidification/bio-contact oxidation system (HA/BCO) to treat oilfield-produced water with high salinity as discussed by the authors.

109 citations

Journal ArticleDOI
TL;DR: In this article, a three-dimensional migration pathway modeling was conducted to investigate the origin of oils and mechanisms for oil enrichment and depletion on the uplift of the Shijiutuo uplift.
Abstract: The Shijiutuo uplift is a major uplift to the north of the Bozhong depression, the largest generative kitchen in the Bozhong subbasin, Bohai Bay Basin. Although the N35-2 trap on this uplift contains a medium-size oil accumulation and the Q32-6 trap contains China's third largest offshore oil accumulation, the Q31-1 trap between the N35-2 and Q32-6 traps with very similar evolution history was confirmed to be dry. Biomarker associations of crude oil and source rock samples were analyzed, and three-dimensional migration pathway modeling was conducted to investigate the origin of oils and mechanisms for oil enrichment and depletion on the uplift. Multiple-parameter oil-source correlation and hierarchical cluster analysis using 10 selected biomarker parameters allowed the identification of four source-related oil classes. Almost all oils from the Shijiutuo uplift are derived from the Eocene Shahejie Formation, whereas oils found between the Shijiutuo uplift and the Bozhong depression either are derived from or have important contributions from the Oligocene Dongying Formation. Variations in oil classes and biomarker parameters suggest sequential migration of oil generated from the Shahejie and then Dongying formations in the Bozhong depression, which is reasonably supported by petroleum migration pathway modeling. Oil charge from two oil-prone source rock intervals and, more importantly, focusing of oil originating from a large area of the Bozhong generative kitchen into the same trap accounted for oil enrichment and formation of China's third largest offshore oil field in the Q32-6 structure. The complexity and primary control of the sealing surface (top surface of the carrier bed) morphology on the positions of migration pathways caused the Q31-1 trap to be shielded from migration of oil originating from the Bozhong depression, resulting in oil depletion in this trap. Shadows to petroleum migration may occur because of the three-dimensional behavior of petroleum migration, and two-dimensional migration modeling may be misleading in predicting petroleum occurrences.

109 citations

Journal ArticleDOI
Lifeng Chen1, Guicai Zhang1, Lei Wang2, Wenming Wu2, Jijiang Ge1 
TL;DR: In this article, the effects of the type and concentration of inorganic salts, the pH, and the adsorption of the oil polar fractions, naphthenic acid and cationic surfactant on the zeta potential of limestone in a large range of salinity were investigated.

109 citations


Authors

Showing all 40138 results

NameH-indexPapersCitations
Lei Jiang1702244135205
Shi-Zhang Qiao14252380888
Jian Zhou128300791402
Tao Zhang123277283866
Jian Liu117209073156
Qiang Yang112111771540
Jianjun Liu112104071032
Ju Li10962346004
Peng Wang108167254529
Alan R. Fersht10840033895
Jian Zhang107306469715
Wei Liu102292765228
Xiaoming Sun9638247153
Haibo Zeng9460439226
Chao Wang9156132854
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023163
20221,053
20214,986
20204,421
20194,425
20183,709