Data reconciliation can be used for many applications namely as instrumentation maintenance, plant optimisation, advanced process control and many more. Data reconciliation is relatively new in Chemical Engineering field. Its applications especially in oil refineries are limited. Using process models (material balance) as constraints, data reconciliation enables us to obtain estimations of process variables by adjusting the measurements. This technique enhances the accuracy of the process variables as opposed to the measurements themselves
One of the major challenges for energy companies is to adapt their process plants to the continuous ...
Data reconciliation is a mathematical technique that uses process information to fulfill material an...
Data reconciliation is a mathematical technique that uses process information to fulfill material an...
In refinery, crude preheat train is use to preheat the crude oil with various product and pump aroun...
The operation of power plants and chemical processes requires process measurements for optimal opera...
Aim of this paper is to present an application of the reconciliation and optimisation package ORO (O...
Aim of this paper is to present an application of the reconciliation and optimisation package ORO (O...
Aim of this paper is to present an application of the reconciliation and optimisation package ORO (O...
Thesis (M.Ing. (Chemical Engineering))--North-West University, Potchefstroom Campus, 2007Accurate ma...
International audienceThis paper focuses on data reconciliation (DR) applied to the nuclear fuel tre...
International audienceThis paper focuses on data reconciliation (DR) applied to the nuclear fuel tre...
Data reconciliation is a mathematical approach that improves the quality of measurements by calculat...
Bibliogaphy: leaves 148-155.Data reconciliation is a method of improving the quality of data obtaine...
Because the area of gross error detection and data reconciliation has received a significant amount ...
One of the major challenges for energy companies is to adapt their process plants to the continuous...
One of the major challenges for energy companies is to adapt their process plants to the continuous ...
Data reconciliation is a mathematical technique that uses process information to fulfill material an...
Data reconciliation is a mathematical technique that uses process information to fulfill material an...
In refinery, crude preheat train is use to preheat the crude oil with various product and pump aroun...
The operation of power plants and chemical processes requires process measurements for optimal opera...
Aim of this paper is to present an application of the reconciliation and optimisation package ORO (O...
Aim of this paper is to present an application of the reconciliation and optimisation package ORO (O...
Aim of this paper is to present an application of the reconciliation and optimisation package ORO (O...
Thesis (M.Ing. (Chemical Engineering))--North-West University, Potchefstroom Campus, 2007Accurate ma...
International audienceThis paper focuses on data reconciliation (DR) applied to the nuclear fuel tre...
International audienceThis paper focuses on data reconciliation (DR) applied to the nuclear fuel tre...
Data reconciliation is a mathematical approach that improves the quality of measurements by calculat...
Bibliogaphy: leaves 148-155.Data reconciliation is a method of improving the quality of data obtaine...
Because the area of gross error detection and data reconciliation has received a significant amount ...
One of the major challenges for energy companies is to adapt their process plants to the continuous...
One of the major challenges for energy companies is to adapt their process plants to the continuous ...
Data reconciliation is a mathematical technique that uses process information to fulfill material an...
Data reconciliation is a mathematical technique that uses process information to fulfill material an...