Bl Technologies, Inc.

General Electric Company

University of Texas System

Hitesh Ghanshyam Bagaria

Nimeshkumar Kantilal Patel

Wenqing Peng

Xiaoan Xie

Peter Larry Perez Diaz

Xiao Xun Zhang

Keith P Johnston

John Brian McDermott

Roberto Gutierrez

Chun Huh

Yun Peng

Steven L Bryant

Christopher W Bielawski

Guoliang Wang

Michael Dion

Gregory Kaplan

Edward Lee Foster

Xiao Zhang

Ronald Gropp

Moshood Adewale

Sheng Zheng

Ki Youl Yoon

Lynn Michelle Foster

Zheng Xue

Bethany M Neilson

John Brian Mcdermott

A method of scavenging ammonia and amines, the method having the steps of (i) providing an aldehyde-based scavenger composition; and (ii) adding the aldehyde-based scavenger composition to a hydrocarbon.

Method of removal and conversion of amines in a refinery desalter

A synergistic fuel additive composition, the composition having a sulfur additive; and a non-sulfur containing additive, wherein the ratio of the sulfur additive to the non-sulfur additive is about 1:1 to about 1:100. A method of reducing sulfur content in a fuel composition, the method provides adding a fuel additive to a fuel composition, the fuel composition having a silver corrosion inhibitor, the fuel additive having: a sulfur additive and a non-sulfur containing additive, wherein the ratio of the sulfur additive to the non-sulfur containing additive is from about 1:1 to about 1:100; wherein the fuel additive provides less than 5 ppm of sulfur addition to the fuel composition; and wherein the fuel composition does not cause silver corrosion.

Silver corrosion inhibitor composition and method of use

Described herein are systems and methods for evaluating and mitigating the wax risks of a given hydrocarbon composition such as crude oil. The disclosed systems and methods enable rapid and ready prediction of wax risks using algorithms based on a small sample of the hydrocarbon composition. The wax risks are predicted using predictive models developed from machine learning. The disclosed systems and methods include mitigation strategies for wax risks that can include chemical additives, operation changes, and/or hydrocarbon blend.

Wax risk assessment and mitigation using advanced data analytics and pipe flow modeling

A wax inhibitor composition, the composition having at least one alpha-olefin maleic anhydride copolymer of the formula: wherein Ris selected from hydrocarbyl groups containing 10-30 carbon atoms, and Ris selected from a hydrogen or hydrocarbyl groups containing 10-80 carbon atoms, and R, if not hydrogen, is broadly dispersed, wherein Rcomprises a weight fraction of carbon numbers greater than 30, wherein Rcan be the same or different, and n is a number of repeating units ranging from 1 to 100.

Maleic anhydride copolymer with broadly dispersed ester side chain as wax inhibitor and wax crystallization enhancer

Methods for making sulfide scavenging compositions are provided. The method comprises reducing a settling velocity of the sulfide scavenging composition in a fluid stream by adjusting the specific gravity of the sulfide scavenging composition to within about fifteen percent or less of the specific gravity of the fluid stream. Sulfide scavengers using the above method are also disclosed. Methods for removing sulfides from fluid streams are also provided. The methods include adding the above sulfide scavengers to fluid streams.

Enhanced performance of sulfide scavengers

A magnetic nanoparticle suitable for imaging a geological structure having one or more magnetic metal or metal oxide nanoparticles with a polymer grafted to the surface to form a magnetic nanoparticle, wherein the magnetic nanoparticle displays a colloidal stability under harsh salinity conditions or in a standard API brine.

Polymer coated nanoparticles

Growing community of inventors

The Woodlands, TX, United States of America

Hitesh Ghanshyam Bagaria