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 manipulate files.
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