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Learn more about EDM for Energy: Well Master
Well and well-related data is at the core of E&P operations. However, keeping data consistent across multiple systems, users and partners is challenging. While established data models impose standards, they are usually fixed, which limits attribution and can lead to function-specific solutions, technical silos and a lack of data continuity.
The issue compounds as each department uses well data differently and performs transformations without reference to other systems. The result is poor quality assurance and increased risks of decision-making based on bad data.
EDM for Energy: Well Master breaks down silos with a corporate-wide master well definition that integrates with all data models and use cases and automatically synchronizes across systems.
The Professional Petroleum Data Management Association (PPDM) has certified that EDM meets the requirements of its Gold Compliance.
With a data-agnostic design, EDM’s Well Master solution allows firms to apply complex matching criteria across multiple sources to define a blended well master for all situations. This includes full and enriched attribution to create a single source of truth. Firms can leverage a range of industry standard data models, including PPDM 3.8 and 3.9.
With EDM’s dynamic data model, all use cases can be accommodated while maintaining the integrity of a master record. This keeps systems aligned and provides clear, cross-application integration. The platform monitors changes to source systems, flags quality issues, executes exception management processes and distributes the well master record to downstream users.
EDM can be implemented on premise, in the cloud or as a managed service leveraging industry-leading cloud technology and application management capabilities. The latter option enables you to reduce implementation time, future-proof your data management systems and outsource human resource-intensive tasks.
EDM matches data from multiple sources at the attribute level, with source prioritization, data quality verifications and cross-source reference normalization.
Users can track data flows through the organization and assess the adherence of systems to mastered records. They can also force updates or raise awareness of update availability, monitor improvements over time and implement standards.
Defined data models set limits on well header attribution and are typically focused on a data use case, such as geoscience, engineering, operations, finance or land. EDM’s dynamic data model allows for assessment of all use cases and development of a master record that is enhanced and enriched to support each scenario.
Data can be transformed when pushed to downstream systems to ensure the master record adheres to other data model and industry standards, such as PPDM 3.8 and 3.9. All transformations are tracked, consistent, auditable and can quickly be reviewed by end-users.
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