Event Engineering
When starting on a WellLine project one of the first questions you will need to start thinking about is:
"What events do I want to put onto the Timeline?"
The choices made this stage will ultimately set the course and scope of the data inclusion effort(s). The selection of source data is usually made by a subject matter expert (SME) or someone with an understanding of the types of events that would be meaningful to end users.
After selection, source data must be transformed to the WellLine data model. This data transformation is traditionally performed by someone with data processing skills, particularly data management and transformation.
The output of this processing should produce events and entities in the form of JSONL files, which can then be uploaded to the TimeLine Service (which powers the WellLine Knowledge Application) through our Command Line Interface (CLI) Tool.
Ideal people filling the role of the "SME" as part of Event Engineering typically have had the following titles (or similar) in the past:
Drilling Engineer
Production Engineer
Drill Site Manager
Petroleum Engineer
Drilling Technologist
Reservoir Engineer
Operations Geologist
The person fulfilling this role ideally has the following skills/knowledge:
An understanding of the asset (i.e. wells) they are modeling, including how they are drilled, completed, intervened and abandoned
An understanding of the source data structures that will be used to create events from
These typically are databases that are used in upstream to capture operations activities (WellView, OpenWells, PI, Production Systems, etc.)
Ability to use and demonstrate WellLine confidently
A good understanding of the language used at well sites, for example in daily drilling reports, incident logs, and lessons learned reports.
Ideal people filling the role of "data transformer" as part of Event Engineering typically have had the following titles (or similar) in the past:
Data Analyst
Database Administrator
ETL Developer
Data Migration Specialist
Data Integration Engineer
Data Warehouse Engineer
The person fulfilling this role ideally has the following skills/knowledge:
An ability to use ETL tools to turn the source data into WellLine events
Knowledge of the options available to extract portions of source data
An understanding of the WellLine data model, especially how subject and reference entities work in the system
Ability to use and demonstrate WellLine confidently
There is no limit to the type of data that can be uploaded to a WellLine installation
All data sources must be transformed to fit the WellLine Data Model
See Data Sources Determination for tips on selecting data sources for inclusion in the product
The WellLine team uses Alteryx for transforming source data into the WellLine Data Model, but any software can be used
For users of Alteryx, templates in the form of Alteryx workflow containers have been created to help bootstrap this process
The latest versions of these templates are available upon request
This tool enables quick command-line based uploading of data (formatted as per the WellLine Data Model) to the WellLine TimeLine Service
It is available online in a GitHub repository
Access to this repository can be granted upon request
