- Datagration Knowledge Base
- Getting Started
- Introduction to Datagration
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Getting Started
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Customer Training
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Updates
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Production Optimization
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Artificial Lift Optimization
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Completion Optimization
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Environmental, Social & Governance
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Development, Acquisition & Divestitures
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Enhanced Oil Recovery
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Admin
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P#
- Getting Started with P#
- Data Cleansing
- String Functions
- Scenario Functions
- Regression Functions
- Placeholder Functions
- Neighborhood Functions
- Mathematical Functions
- Logic Functions
- Entities Function
- Moving Window Functions
- Time and Date Functions
- Statistical Functions
- Economic Functions
- Data Handling
- Additional Functions
- Directional Functions
- Machine Learning Functions
- DCA Functions
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Packages
Unified Data Model
The data model is a configurable semantic layer for unstructured data, designed for engineers
In the Datagration data model, there are Entities, Signals, and Units.
Entities are equipment that can measure 1 or more signals and / or relation to other entities in a hierarchical sense. Some examples would be Reservoirs, Fields, and Wells.
Signals are specific data that is measured from an entity. Signals can be static or dynamic (time-based), depth dependent or PVT. Some examples would be daily production, depth, total barrels. Signals need to have an assigned unit of measure.
Units are units of measurement, such as liter or meters.
Tags are classified events for a given entity
