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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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Journal ArticleDOI
Randy D. Hazlett1
TL;DR: In this article, a porosity network in 3D Xray micro-tomography images of reservoir rocks is used to characterize the porosity distribution of a vessel in terms of pore size, connectivity, and permeability.
Abstract: Flow properties of reservoir rocks can be computed from an accurate depiction of the porosity network in three dimensions available from synchrotron Xray microtomography. In order to relate computed transport properties to the input dataset, the complex pore networks must be described statistically. A porous media description was deemed adequate if a synthetic medium, possessing similar transport properties, could be generated from acquired statistical information. Synthetic media, based upon Berea sandstone extended variogram statistics, were generated with an actual slice from a 3-D microtomographic image as conditioning data. Control of local porosity variation was observed to be important in the stochastic simulation of porous media by the simulated annealing method, as inclusion of this higher order constraint data reproduced natural variations observed in pore-size distributions. Realizations with the traditional variogram as the only target in the objective function did not honor poresize distribution information. Permeability estimates by the lattice Boltzmann method indicated that the proper level of interConnectivity was not achieved during geostatistical modeling with only two point spatial statistics. Connectedness information, readily available from primary drainage capillary pressure data, forced permeability estimates of synthetic media in the direction of the permeability computed for the parent microtomographic image of Berea sandstone. As a result of this study, it was concluded that global spatial correlation statistics, for example, the traditional variogram, must be supplemented with local variability and connectivity information to adequately characterize a three-dimensional property distribution for fluid transport. Extended porosity spatial correlation structure, extracted from standard imaging techniques, and a capillary pressure drainage curve are perhaps sufficient to characterize a system in terms of pore size, connectedness, and permeability. However, more rapid algorithms are needed to introduce porosimetry information as standard practice in stochastic modeling by the simulated annealing method.

153 citations

Patent
20 May 1993
TL;DR: In this article, a sensor device includes ultra-large pore crystalline material M41S as a selective detecting element, and a measuring element for quantifying physical, chemical or biological events which occur within the crystalline materials.
Abstract: A sensor device includes ultra-large pore crystalline material M41S as a selective detecting element, and a measuring element for quantifying physical, chemical or biological events which occur within the crystalline material. The crystalline material may also contain an additional selective detecting component within its pores.

152 citations

Journal ArticleDOI
TL;DR: In this paper, a model of the kinematics of sand transport was developed for Hurricane Carla, which crossed the Texas shelf in September 1961, and combined flow was oriented obliquely offshore on the immediate right and left side of the storm track (looking toward the coast) and onshore on the storm's far left side.
Abstract: Examination of current meter measurements from fair-weather periods and storm events on the central Texas shelf provides information on the means by which sand is transported across the shelf to be deposited as thin ( Building upon observations from these smaller storms and available wind, tide, and wave data, a model of the kinematics of sand transport was developed for Hurricane Carla, which crossed the Texas shelf in September 1961. In this reconstruction, combined flow is oriented obliquely offshore on the immediate right and left side of the storm track (looking toward the coast) and onshore on the storm's far left side. This combined-flow transport pattern is consistent with the observed distribution of the sand bed deposited during the passage of the storm, as revealed by cores of the near-surface modern sediments. This model also differs considerably from an earlier explanation for the Carla sand bed which invoked turbidity currents generated during the ebb of the storm surge following hurr cane landfall.

151 citations

Patent
11 Aug 1975
TL;DR: In this paper, a unique arrangement for cooling solar cells that are associated with collectors for collecting solar radiation and concentrating the same on the solar cells is described, where the solar energy concentrators are each characterized by having a chamber with a solar radiation transmissive entrance wall, sidewalls adapted to concentrate solar radiation, one or more solar cells disposed in each chamber, and means for passing a dielectric, transparent cooling fluid through each chamber.
Abstract: The invention provides a unique arrangement for cooling solar cells that are associated with collectors for collecting solar radiation and concentrating the same on the solar cells.The solar energy concentrators are each characterized by having a chamber with a solar radiation transmissive entrance wall, sidewalls adapted to concentrate solar radiation, one or more solar cells disposed in each chamber, and means for passing a dielectric, transparent cooling fluid through each chamber. The cooling fluid has an index of refraction which promotes solar energy concentration onto the solar cells in addition to that provided by the sidewalls.

151 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