Data Foundation is an innovative cloud-native software that digitally ingests and efficiently loads quality controlled E&P data for use by domain applications, as well as machine learning and analytics computations, leveraging the open environment to help provide scalable, cost-effective storage for massive
amounts of data in any format and any type.
The centralized storage location
and categorization of data (by use
case) facilitate consumption by
Landmark applications, analytics,
and machine learning for
performing transparent operations.
Repeatable, predictable data
processing provides consistent
and reliable data output due to
automated, standardized quality
control and data loading methods
via proven pipelines.
Built-in data parsing technology
supports more than 300 data
types, and automatically
recognizes a wide range of file
formats (text, csv, ascii, etc.),
eliminating the need to manually
The ability to support a hybrid IT
environment, with both on-premise
and cloud applications, enables
gradual data transition to the cloud
based on customer readiness, rather
than lifting and shifting all data at once.
The scalability of the cloud’s storage
capacity accommodates huge
quantities of data, while also lowering
cost, by leveraging the cloud’s
“elastic” compute capabilities that
adjust to operational requirements.
More accurate higher quality data
helps uncover new development
opportunities and improves well
placement and other data-critical
decisions for better drilling outcome,
which can save tens of millions of
dollars by helping prevent well failure.
Elimination of manual data loading
leads to less inconsistencies, errors,
and variability, reducing overall
uncertainty so that users can trust
the data results to make faster and
more informed decision making