公开(公告)号：US20180216017A1

公开(公告)日：2018-08-02

申请号：US15754413

申请日：2016-08-01

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Aditya KUMAR ,  Michael Alan DION ,  Nimeshkumar Kantilal PATEL ,  Conrad Keny TERAN ,  Dan DAI ,  Randall Charles MCFARLANE ,  Sree Rama Raju VETUKURI ,  Vijaysai PRASAD

IPC: C10G31/08 ,  G05B15/02

CPC classification number: C10G31/08 ,  C10G2300/205 ,  G05B15/02

Abstract: According to some embodiments, data associated with the operation of a desalter vessel (150), adapted to receive a raw crude input and a water input and facilitate creation of a desalted crude output and a salt water output, may be stored in a computer storage device (630). A computer processor (610) may determine at least one parameter associated with the data in the computer store. The computer processor (610) may then automatically calculate, based on the determined parameter and a physics-based dynamic desalter model (400), an adjustment value for a second parameter associated with operation of the desalter vessel. Using the automatically calculated adjustment value, the computer processor (610) may automatically generate and transmit an indication of the adjustment value so as to improve operation of the desalter vessel (150).

公开(公告)号：US20180216016A1

公开(公告)日：2018-08-02

申请号：US15748368

申请日：2016-07-29

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Steve Theodore BAKAS ,  Kantilal Nimeshkumar PATEL ,  Conrad Keny TERAN

IPC: C10G31/08 ,  C10G7/12 ,  C10G31/06 ,  C10G75/04 ,  C10G75/02

CPC classification number: C10G31/08 ,  B01J19/0006 ,  B01J19/0033 ,  B01J2219/00186 ,  B01J2219/00191 ,  B01J2219/00198 ,  B01J2219/00218 ,  B01J2219/00227 ,  C10G7/12 ,  C10G31/06 ,  C10G75/02 ,  C10G75/04 ,  C10G2300/206

Abstract: Described herein are systems and methods of dynamically using predictive analytics in control of a hydrocarbon refining process. In one aspect, the method comprises analyzing a hydrocarbon sample, wherein the hydrocarbon sample is representative of an amount of hydrocarbon entering a refining process; developing one or more predictive models of the hydrocarbon refining process for the hydrocarbon entering the refining process based on the analysis of the hydrocarbon sample; and dynamically controlling aspects of the hydrocarbon refining process as the hydrocarbon entering the refining process moves through the refining process based on the one or more predictive models.