公开(公告)号：US20190120810A1

公开(公告)日：2019-04-25

申请号：US16140770

申请日：2018-09-25

Applicant: Honeywell International Inc.

Inventor： Dinesh Kumar KN ,  Soumendra Mohan Banerjee

IPC: G01N33/28 ,  C10G7/12 ,  G06F15/18

Abstract: An apparatus includes at least one processor configured to obtain inline measurements of one or more properties of crude oil, translate the measurements into a set of process and control parameters, and apply the process and control parameters to process equipment. The process and control parameters configure the process equipment to process the crude oil having the one or more properties. The one or more properties of the crude oil may include at least one of: density, specific gravity, viscosity, carbon residue, and sulfur content of the crude oil. The process and control parameters could be applied to one or more controllers associated with a blending unit in a refinery or to one or more controllers associated with a crude oil distillation column in the refinery.

公开(公告)号：US20190108454A1

公开(公告)日：2019-04-11

申请号：US16151086

申请日：2018-10-03

Applicant: Honeywell International Inc.

Inventor： Soumendra Mohan Banerjee ,  Deepak Bisht ,  Krishna Mani ,  Priyesh Jayendrakumar Jani ,  Gautam Pandey

IPC: G06N7/00 ,  G06N99/00 ,  G06F17/15

Abstract: This disclosure provides an apparatus and method for harnessing machine learning and data analytics for a real-time predictive model for a FCC pre-treatment unit. The method includes collecting operating parameters of a pre-treatment unit and fluid catalytic cracking (FCC) unit; evaluating an independent variable of the operating parameters; and adjusting an input to the pre-treatment unit to control the independent variable within specifications in an output of the FCC unit.

公开(公告)号：US11676061B2

公开(公告)日：2023-06-13

申请号：US16151086

申请日：2018-10-03

Applicant: Honeywell International Inc.

Inventor： Soumendra Mohan Banerjee ,  Deepak Bisht ,  Krishna Mani ,  Priyesh Jayendrakumar Jani ,  Gautam Pandey

IPC: G06N20/00 ,  G06F17/15 ,  C10G11/18

CPC classification number: G06N20/00 ,  G06F17/15 ,  C10G11/187

Abstract: This disclosure provides an apparatus and method for harnessing machine learning and data analytics for a real-time predictive model for a FCC pre-treatment unit. The method includes collecting operating parameters of a pre-treatment unit and fluid catalytic cracking (FCC) unit; evaluating an independent variable of the operating parameters; and adjusting an input to the pre-treatment unit to control the independent variable within specifications in an output of the FCC unit.

公开(公告)号：US11105787B2

公开(公告)日：2021-08-31

申请号：US16140770

申请日：2018-09-25

Applicant: Honeywell International Inc.

Inventor： Dinesh Kumar KN ,  Soumendra Mohan Banerjee

IPC: G01N33/28 ,  C10G7/12 ,  C10G45/72 ,  C10G47/36 ,  C10G49/26 ,  G06N20/00

Abstract: An apparatus includes at least one processor configured to obtain inline measurements of one or more properties of crude oil, translate the measurements into a set of process and control parameters, and apply the process and control parameters to process equipment. The process and control parameters configure the process equipment to process the crude oil having the one or more properties. The one or more properties of the crude oil may include at least one of: density, specific gravity, viscosity, carbon residue, and sulfur content of the crude oil. The process and control parameters could be applied to one or more controllers associated with a blending unit in a refinery or to one or more controllers associated with a crude oil distillation column in the refinery.