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Customer LoginsEnterprise Data Management’s (EDM) Well Master solution delivers a corporate-wide master well definition, which is integrated with all data models and use cases and automatically synchronized across systems.
Well and well-related data is at the core of E&P operations. However, keeping data consistent across multiple systems, users and partners is typically challenging. Established data models impose standards, but they are usually fixed, thereby limiting attribution. This often leads to function-specific solutions, technical silos and a lack of data continuity. As each department uses well data differently, transformations of data are performed without reference to other systems, resulting in poor quality assurance and increasing the risks of bad data in decision-making.
With its 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, creating a usable single source of the truth. Firms can leverage a range of industry standard data models, including but not limited to 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 firms to reduce implementation times, future-proof and outsource many human resource-intensive tasks.
Data mastering
EDM matches data from multiple sources at the attribute level, with source prioritization, data quality verifications and cross-source reference normalization.
Auditability and data lineage
Users have the ability to 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.
Enhanced and enriched data
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 approach allows for assessment of all use cases and development of a master record that is enhanced and enriched to support each scenario.
Data transformation
Data can be transformed when pushed to downstream systems to ensure the master record adheres to other data model standards (including but not limited to industry standards, such as PPDM 3.8 and 3.9) while maintaining consistency and auditability. All transformations are tracked and can quickly be reviewed by end-users.
The Professional Petroleum Data Management Association (PPDM) has certified that EDM meets the requirements of its Gold Compliance.
Mr. Amery heads the rapidly growing EDM for Energy business with operations in North America, Europe, the Middle East and Asia. Prior to joining S&P Global, he held sales management roles at energy and commodity technology firms including Triple Point Technology, Updata and Trayport where he was responsible for client growth and launching new products and services. Before this, he founded his own technology and media company following work at JP Morgan and Schroders Investment Management.
At S&P Global Market Intelligence, Natalia leads a global team of consultants who are responsible for the delivery of software solutions and other types of professional services to S&P Global Market Intelligence customers worldwide in Financial Services, Energy and Maritime & Trade. Ms. Isajenko and her team are passionate about delivering best-in-class customer experience. Through professional services engagements, they help S&P Global Market Intelligence customers improve operational flows; increase the quality and timeliness of reporting; and make efficient decisions based on high-quality data.Prior to joining S&P Global Market Intelligence in 2018 as EMEA Head of Professional Services for EDM, Natalia led operations and consulting teams at a number of other software and related vendors.Natalia holds a degree in Engineering Informatics from Vilnius Gediminas Technical University in Vilnius, Lithuania.
Since 2018, Kay Sutter has supported the expansion of our workflow automation platform, EDM, into the energy industry.Kay brings over 30 years of petroleum industry software product, training, and consulting experience to EDM. She is focused on helping the EDM team solve customer business problems through technology and data governance best practices.
Benin Chelinsky is Head of Product for EDM for Energy, our workflow automation offering for the energy industry. He is a business leader and innovator focused on building great teams that create great products, which solve problems for customers. He has diverse experience in petroleum engineering, working in QRI and overlooking field development projects in Colombia, Peru and Mexico. He was also a product manager overlooking a multimillion-dollar software portfolio at Schlumberger.Passionate about teaching and mentoring, he conducts a one-day production engineering class for the students of the University of Oklahoma every semester.Benin holds a Bachelors in Chemical Engineering from BITS, Pilani, and Masters in Petroleum Engineering at the University of Tulsa. He is currently pursuing his professional MBA at the Kellogg school of Management, Northwestern University.
