公开(公告)号：US20220236700A1

公开(公告)日：2022-07-28

申请号：US17586858

申请日：2022-01-28

Applicant: CHEVRON U.S.A. INC.

Inventor： Cheng CHEN ,  Lauren A. FLORES ,  Martin Antonio MORLES

IPC: G05B13/04 ,  C02F1/00

Abstract: Embodiments of modelling a fluid treatment system are provided herein. One embodiment comprises obtaining synthetic data for a fluid treatment system from a data store. The fluid treatment system comprises a membrane and the fluid treatment system is configured to receive a stream of fluid for treatment. The embodiment further comprises training a performance indicator model using the synthetic data to predict a performance indicator for the fluid treatment system. The performance indicator comprises a permeate sulfate performance indicator and the performance indicator model predicts a sulfate content value in a permeate stream.

公开(公告)号：US20220236699A1

公开(公告)日：2022-07-28

申请号：US17586846

申请日：2022-01-28

Applicant: CHEVRON U.S.A. INC.

Inventor： Martin Antonio MORLES ,  Lauren A. FLORES ,  Cheng CHEN

IPC: G05B13/04 ,  C02F1/00

Abstract: Embodiments of modelling a fluid treatment system are provided herein. One embodiment comprises obtaining synthetic data for a fluid treatment system from a data store. The fluid treatment system comprises a membrane and the fluid treatment system is configured to receive a stream of fluid for treatment. The embodiment comprises training a machine learning pressure prediction model using the synthetic data to predict a pressure for the membrane of the fluid treatment system. The trained pressure prediction model is combinable with an operator training simulator (OTS) model to update the OTS model to improve accuracy of simulation pressure output from the OTS model.