Data Standards & Pipelines
What are Data Standards and Pipelines?
The MHKDR data standards and pipelines create consistency in formatting and contents of like datasets, lessening preprocessing requirements and ensuring adequate information is provided by a given dataset. Data standards and pipelines are different for each data type, in an attempt to best fit a given data type's formatting, metadata, and other requirements.
Existing Data Standards
The MHKDR's drilling data pipeline automatically converts drilling data from native Pason or RigCLOUD ouput format into a standardized CSV format with standardized column names and units.
The MHKDR's DAS data pipeline automatically converts DAS data from nonstandardized SEG-Y formats into a standardized HDF5 format, based on PRODML and the IRIS DAS RCN's DAS metadata standard.
The MHKDR's geospatial data pipeline focuses on metadata rather than the data itself. It automatically recognizes geospatial data files using file extensions, and requires additional and essential metadata for geospatial datasets.
Coming Soon
When the MHKDR is working on implementing a new data standard & pipeline, it will be listed here. If you have suggestions for new data standards and pipelines, please send them to