CHEMICAL STRUCTURAL AND COMPOSITONAL YIELDS MODEL FOR PREDICTING HYDROCARBON THERMOLYSIS PRODUCTS

Patent №

US 7,344,889

Granted

2008-03-18

Filed 2003

Owner

EXXONMOBIL UPSTREAM RESEARCH COMPANY

Lab

AI components

3

kr · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10426356

A method of predicting the composition of hydrocarbon products of a complex carbonaceous material when exposed to specific time and temperature conditions is disclosed. In one embodiment, the material is characterized to obtain elemental, chemical and structural parameters. A representative chemical structure of the material is constructed based on the characterization information. The representative chemical structure is then stochastically expanded to a molecular ensemble chemical structural model that includes heteroatoms. The chemical structural model is coupled to a compositional yield model and the composition of the material products is determined using kinetic modeling. Methods are provided of constructing a chemical structural model of complex carbonaceous material, of coupling a molecular ensemble of chemical structures to a thermal chemical mechanism, of updating an ensemble of chemical structures during the kinetic modeling to reflect chemical reaction products and of eliminating molecules from the system.

AI classification

Evolutionary computation1.00
AI hardware0.99
Knowledge representation0.86
Machine learning0.02
Natural language0.00
Planning0.00
Vision0.00
Speech0.00

Ownership

EXXONMOBIL UPSTREAM RESEARCH COMPANY

assignment · 138830879

Assignors

KELEMEN, SIMON R., FREUND, HOWARD, SISKIN, MICHAEL, CURRY, DAVID J., XIAO, YITIAN, OLMSTEAD, WILLIAM N., GORBATY, MARTIN L., BENCE, A. E.

On an employer assignment, the assignors are typically the inventors.

From the same owner

© 2026 NYSGPT2525 LLC