The magic and power of WellLine lies within the dynamic, searchable timeline of everything that has happened for all of your important assets and concepts over time, from multiple origins, all in one place. It does this via Events and Entities that it lays out along a timeline which we call the 'LifeLine'.
Events are broadly defined as "things that happened of some importance" and they can refer to many types of information. They contain portions of what we call the "W4 Index":
An example of an event could be "On June 1, 2001 Allen changed the seal on pump 123."
Who - Entities such as physical objects (Allen, seal, Pump 123)
What - Entities such as problems and actions (changed)
Where - Locations such as geographic coordinates (location of pump 123)
When - Times such as timestamps and creation dates (June 2, 2001)
An event also describes:
When it happened and for how long
Where it happened
What things (entities) it happened to (Pump)
What things (entities) were involved (Allen, seal, Pump 123)
How important it was
Who / what created it
When it was created
The "Why" is still a vital part of the equation. WellLine's extensibility allows it to be used a service within solutions that help answer this question, as well as the ability to have services and solutions built on top of it.
Entities are “things with distinct and independent existences.”
The "Who" of entities encompass concepts such as (these are usually nouns):
The "What" of entities encompass concepts such as (these are usually verbs):
Let's start out with the "When". All events must have start and end times. These emerge as timelines when events are filtered and displayed within the WellLine interface.
Some events have measures that represent numerical quantities—these help represent the "What". These measures appear as time-series visuals through plotting the same measure for a sequence of events.
Events have subject and reference entities within them. Through these connections, an event graph emerges through temporal co-occurrence of entities in events.
The image below provides an example from the oil and gas industry of the flow from source data, to event creation, to entity extraction and graph population.