Input Data


The Monitor computer program requires two types of data:

Network data define the network configuration, exchanger mechanical data, economic parameters and other data which do not change with time.

Case data consist of measured parameters, such as temperatures and flowrates, which change with each Case.

Data Entry

Data are entered in data entry windows or in bulk from a spreadsheet. Data entry windows are opened from menu items or by right-clicking on a unit or stream on the PFD. 

Many defaults are supplied and range and validation checks are performed during the data input. Data are also subject to rigorous checking for realism and consistency. Obvious errors such as negative pressures are not allowed. Warnings are issued for data items that appear to be unreasonable for example, too few baffles, too tight tube spacing. Data may be entered in a wide range of dimensional units.

Each window has a Help button which gives information about the data requirements of that window. 

Network Data

The configuration of a network is defined in the PFD drawing. Other data are entered in data entry windows. They include:

Exchanger mechanical data

Dimensional units

Data Reconciliation Setup

Tag names for importing Case data from a spreadsheet

Economic data for economic calculations

Case Data

You may define any number of Cases for a Network.

Case Data include:

Date/time the data were gathered

Exchanger exit temperatures and pressures

Mixer temperature specifications (optional)

Splitter ratios or product flowrates

Heater/cooler exit temperatures or duties

Desalter product water content

Flash temperature, duty or product rate and pressure

Pump pressure or power and efficiency

Feed stream conditions and properties:

temperature, pressure, flowrate
gravity and UOPK or viscosity for hydrocarbon liquid or gas streams
distillation curve, gravity and lightends for assay streams
compositions for defined composition streams

Exporting Case Data 

You can write Case data to an Excel spreadsheet.  There are two objectives to this:

  • Check data trends graphically to identify sources of data errors
  • Create a spreadsheet

Case data will be written to the spreadsheet for every parameter which has a tag name or a property identifier.

Automated Running ] [ Data Input ] Database Storage ] Economics ] Fluid Definition ] Fouling Calculations ] Import ] Normalisation ] Output ] PFD ] Data Reconciliation ] Splitter Ratios ] Thermodynamics ]