REDUCTION OF ACIDS USING METAL NAPHTHENATE PRECIPITATION

    公开(公告)号:US20180201845A1

    公开(公告)日:2018-07-19

    申请号:US15722544

    申请日:2017-10-02

    Inventor: Lin Li

    CPC classification number: C10G19/02 C10G57/00 C10G2300/203

    Abstract: A process for reducing TAN of hydrocarbon feed oil, comprising: a. combining alkaline earth metal, in an aqueous solution having a pH of 10 to 14, with the hydrocarbon feed oil to make a mixture; b. vigorously mixing the mixture; c. precipitating a metal-naphthenate salt; and d. removing the metal-naphthenate salt to reduce the TAN by 50 to 100%; wherein a weight ratio of the hydrocarbon feed oil to the aqueous solution is from 0.25:1 to 20:1. Also, a process for reducing TAN, comprising: a. combining an inorganic alkaline earth metal salt having a water solubility at 20° C. from 35 to 150 g/100 g water, in an aqueous solution having a pH of 10 to 14, to make a mixture; b. precipitating a metal-naphthenate salt; c. collecting the metal-naphthenate salt at an interface between an oil phase and an aqueous phase; and d. removing the metal-naphthenate salt.

    System and method for fuzzy ontology matching and search across ontologies

    公开(公告)号:US10019516B2

    公开(公告)日:2018-07-10

    申请号:US14678943

    申请日:2015-04-04

    CPC classification number: G06F16/367 G06N5/02

    Abstract: A computer implemented method of matching ontologies is disclosed. The method includes, for each pair of entities of a first ontology and a second ontology, wherein each pair of entities includes a first entity from a first plurality of entities of the first ontology and a second entity from a second plurality of entities of the second ontology, and wherein the first entity and the second entity of each pair of entities is of a same data type: (1) determining a vector of similarities for the pair of entities; (2) determining a confidence score for the vector of similarities; (3) determining a relation score for each relation type based on the vector of similarities to measure relatedness between the first entity of the pair of entities and the second entity of the pair of entities; and (4) generating a mapping ontology based on the relation type, the relation score, and the confidence score of each pair of entities.

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