公开(公告)号：US20180120136A1

公开(公告)日：2018-05-03

申请号：US15336337

申请日：2016-10-27

Applicant: General Electric Company

Inventor： Valentin Thomas ,  Florent Di Meglio ,  Luca Parolini ,  Maria Gabriela Gomez

IPC: G01F1/34

CPC classification number: G01F1/34 ,  E21B43/12 ,  E21B47/06 ,  E21B49/087 ,  G01F1/68 ,  G01F1/86 ,  G05D7/0676 ,  G06F17/13 ,  G06Q50/06

Abstract: Virtual flow estimation is described that is suitable for use under steady-state and non-steady-state (i.e., transient) conditions. Examples of such an approach may not perform discretization of the underlying model described by partial differential equations, but may instead perform discretization in a derived estimator separate and distinct from the underlying model. In this manner, a non-executable continuous time-estimator may be transformed to an executable discrete time-estimator suitable for use in under non-steady state (i.e., transient) conditions.

公开(公告)号：US20180073904A1

公开(公告)日：2018-03-15

申请号：US15265585

申请日：2016-09-14

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Luca Parolini ,  Valentin Patrick Thomas ,  Maria Gabriela Gomez

IPC: G01F1/86 ,  G01F1/34 ,  G01F1/696 ,  G06F17/16 ,  G06F17/50

CPC classification number: G01F1/86 ,  E21B47/10 ,  G01F1/34 ,  G01F1/696 ,  G01F15/00 ,  G06F17/16 ,  G06F17/5009 ,  G06F2217/16

Abstract: Approaches for a modeling and estimation approach for a virtual flow meter (VFM) are described. Certain aspects of the present virtual flow meter approaches relate to the manner in which multiple sources of information in the field are merged within a filter framework for estimation. In certain implementations, both mass flow and pressure at every node of the field are considered as part of the state estimated by the filter algorithm.