 Datagration Knowledge Base
 Getting Started
 Introduction to Datagration

Getting Started

Customer Training

Updates

Production Optimization

Artificial Lift Optimization

Completion Optimization

Environmental, Social & Governance

Development, Acquisition & Divestitures

Enhanced Oil Recovery

Admin

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

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 (timebased), 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