公开(公告)号：US20220316313A1

公开(公告)日：2022-10-06

申请号：US17702886

申请日：2022-03-24

Applicant: ExxonMobil Research and Engineering Company

Inventor： Liezhong GONG ,  Thomas S. COPELAND

IPC: E21B47/00

Abstract: A hybrid model for predicting corrosion in a system integrates a physics-based model developed using laboratory data and a machine-learning model developed using in-field data. Said hybrid model may be used, for example, in methods by: determining a physics-based measurement of corrosion using a physics-based model for a fluid's corrosion of a substrate based, at least in part on, lab-based measurements; determining a machine learning-based measurement of corrosion using a machine learning-based model for the fluid's corrosion of the substrate based, at least in part on, in-field-based measurements; and applying an ensemble method to the physics-based measurement of corrosion and the machine learning-based measurement of corrosion to yield an estimated measure of corrosion of the substrate. The hybrid model may be applied to corrosion mechanisms that occur in, for example, hydrocarbon transportation systems, hydrocarbon production systems, hydrocarbon refining systems, and alkylation systems.

公开(公告)号：US20190002782A1

公开(公告)日：2019-01-03

申请号：US16012913

申请日：2018-06-20

Applicant: ExxonMobil Research and Engineering Company

Inventor： Charles L. BAKER, JR. ,  Liezhong GONG ,  Eugenio SANCHEZ ,  Angela R. HORTON ,  Debra A. SYSYN ,  Richard C. DOUGHERTY

IPC: C10M105/04 ,  C10M101/02 ,  G01N24/08 ,  G01N33/30 ,  G01N11/00

Abstract: A lubricant base oil is provided. The lubricant base oil has a low temperature property determined using a stepwise regression of carbon-13 nuclear magnetic resonance (NMR) spectroscopy peak values. A method of selecting candidate lubricant base oils, or mixtures thereof, having acceptable low temperature performance is also provided. An online method of blending a lubricant base oil and a finished lubricant are also provided.