General Electric Company

Bl Technologies, Inc.

Arjun Bhattacharyya

Manish Chandra Joshi

Vijaysai Prasad

Richard Stephen Hutte

Jayaprakash Sandhala Radhakrishnan

Jeffrey Allen Zurlo

Shankar Chandrasekaran

Aveek N Chatterjee

The present invention concerns a method of providing advisory controls for a desalter system. The method allows a user to continuously monitor performance of the desalter system, to continuously monitor position of the emulsion band (or rag layer), to control the emulsion band using demulsifiers, and to recommend to users how to maintain optimal pressure drop at the mixing device of the desalter system. This is achieved by using a first principles based model combined with a sensor to measure the position, quality and size of the emulsion band. The first principles based model takes into account the geometry of the desalter system, physical properties of the crude oil and water, as well as the operating conditions. Thus, the method provides users with sensing of an emulsion layer through direct measurements and also gives recommendations on appropriate corrective actions to be initiated during upsets.

Advisory controls of desalter system

A MEMS sensor system for monitoring membrane elements in a membrane based water filtration plant having a remote telemetry unit (RTU), a SCADA, and a plurality of MEMS sensors for measuring pressure, flow rate. and conductivity. The water filtration plant has a train with a membrane vessel containing a plurality of membrane elements arranged in series creating interfaces between each membrane element. The MEMS sensors are located at the membrane element interfaces. A method of monitoring membrane elements in a membrane based water filtration plant using a plurality of MEMS sensors for measuring pressure, flow rate. and conductivity placed at the filtration plant membrane element interfaces.

MEMS based membrane sensor system and method of use

The present invention concerns a method of providing advisory controls for a desalter system. The method allows a user to continuously monitor performance of the desalter system, to continuously monitor position of the emulsion band (or rag layer), to control the emulsion band using demulsifiers, and to recommend to users how to maintain optimal pressure drop at the mix valve of the desalter system. This is achieved by using a first principles based model combined with an ultra-sound sensor. The ultra-sound sensor measures the position, quality and size of the emulsion band. The first principles based model takes into account the geometry of the desalter system, physical properties of the crude oil and water, as well as the operating conditions. Thus, the method provides users with sensing of an emulsion layer through ultrasound measurements and also gives recommendations on appropriate corrective actions to be initiated during upsets.

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Bengaluru, India

Arjun Bhattacharyya