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Where an entity defines a real world or conceptual object, it is the attributes of an entity that describe the characteristics of that object. It’s these characteristics, or attributes, that are associated with data that we generally want to model.

For example, an organisation may have a number of wells. Each well has a number of characteristics, such as THP. These characteristics are called attributes, and they are generally the thing that we are interested in finding detailed information about so that we can optimise production.

In P2 Explorer, you can recognise an attribute through its syntax:


For example:

Well 1:Flow Rate

We can then break these attributes down even further to gain an insight into different aspects of that type of data, called attribute values.  

Related: Attributes 

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