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Institution

Mobil

About: Mobil is a based out in . It is known for research contribution in the topics: Catalysis & Zeolite. The organization has 7085 authors who have published 10642 publications receiving 237497 citations. The organization is also known as: Socony-Vacuum Oil Company & Standard Oil Company of New York.


Papers
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Patent
Dale Richardson1, Roger W. Smith1
22 Nov 1993
TL;DR: In this article, a method of installing the tubular plastic end stops on the zipper is described, as well as a method to install the end stops to prevent the zipper from sliding off the zipper.
Abstract: Plastic-film zipper bags having tubular plastic end stops bonded to the plastic zipper to seal the ends of the zipper and to provide stops to retain a slider on the zipper are disclosed. Also disclosed is a method of installing the tubular plastic end stops on the zipper.

195 citations

Patent
10 Mar 1992
TL;DR: In this paper, a fastener structure comprising a plastic reclosable fastener with a slider for opening and closing the fastener is presented. But the slider is not adjustable.
Abstract: A fastener structure comprising a plastic reclosable fastener with slider for opening and closing the reclosable fastener. The fastener and slider include a provision for restraining the slider in close position and maintaining male and female elements of the slider in interlocking relation when the slider reaches the closed end of its travel along the tracks of the slider.

193 citations

Book ChapterDOI
Randy D. Hazlett1
TL;DR: In this article, a simulation of realistic pore networks, such as those derived from X-ray microtomography, is presented for the regime where capillarity controls fluid motions and spatial distributions.
Abstract: Displacement simulation in realistic pore networks, such as those derived from X-ray microtomography, is presented for the regime where capillarity controls fluid motions and spatial distributions. Complex displacement sequences involving both imbibition and drainage are constructed to extract wettability indices. The percolation properties of predicted equilibrium phase distributions are analyzed. Equilibrium fluid distributions are used to model transport properties for each phase.

193 citations

Journal ArticleDOI
W.R. Shu1
TL;DR: In this paper, a generalized correlation for calculating viscosities of such mixtures was presented by using the Einstein-type relationship for the viscosity of infinitely dilute solutions.
Abstract: High viscosity is a major constraint in the recovery and transportation of heavy crudes and tar sand bitumens. Viscosity reduction may be achieved by mixing the crude with a light petroleum solvent. This paper presents a generalized correlation for calculating viscosities of such mixtures. A power-law mixing rule was generalized by use of the Einstein-type relationship for the viscosities of infinitely dilute solutions. Literature and in-house data were compiled to establish the correlation. The final correlation requires only density and viscosity of the two fluids to predict blending viscosity at any mixture composition. The correlation is tested with heavy-oil/solvent blending data and gives an excellent prediction of the blending viscosities.

192 citations

Journal ArticleDOI
TL;DR: In this paper, the identity and composition of petroleum's countless molecular components is beyond the resolution of analytical techniques, and models of petroleum refining processes must have a molecular basis to be useful in predicting the molecular composition of products and their physical and quality properties required by industry specifications.

192 citations


Authors

Showing all 7085 results

NameH-indexPapersCitations
Galen D. Stucky144958101796
James A. Russell124102487929
Thomas Bein10967742800
George J. Hirasaki6527814164
Kai-Kit Wong6160514680
James Paul5925213394
Sankaran Sundaresan5824110083
Fabio Rocca5732519186
Roland Winston5547313911
Kyger C. Lohmann5414410112
Maurice A. Biot5015437311
Kenneth E. Peters4817113920
Paul L. Stoffa472609323
Clarence D. Chang472399047
Bruce H. Wilkinson451186483
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202112
202011
201910
201818
201712
201610