How Hess scaled EnergySys from the Gulf of Mexico to thousands of Bakken wells.
Hess Corporation built its production data management operations on the EnergySys Cloud Platform across two very different asset environments: offshore in the Gulf of Mexico, and onshore across thousands of wells in North Dakota’s Bakken shale.
What they built shows what is possible when a low-code, cloud-native platform is trusted with enterprise-scale production data management.
Challenge: scaling from offshore to a much larger, more complex onshore operation
Hess had successfully deployed EnergySys for their offshore Gulf of Mexico assets. The platform handled production data management well in that environment. But their North Dakota operations presented a different order of complexity entirely.
Thousands of wells. Intricate reporting requirements. High-volume, variable datasets that needed consistent, accurate handling across lease operators, accounting teams, and downstream users. Existing workflows required too much manual input and too much reliance on developer support, creating bottlenecks that risked delays to internal reporting and regulatory submissions.
Hess also had a clear internal goal: reduce dependence on custom-built tools and external support, improve automation, and lower operational costs. The question was whether EnergySys could scale to meet all of that.
Solution: expanded to North Dakota, configured internally
Hess expanded their EnergySys deployment to cover their North Dakota operations, building on the foundation already in place for the Gulf of Mexico assets.
The platform was configured to automate critical data management processes across the Bakken portfolio, including production allocations and reporting. That automation reduced manual effort, improved data accuracy, and gave lease operators, accounting teams, and downstream users direct access to production data they could trust.
The low-code environment meant Hess’s own configurators could adapt and extend the platform themselves. When requirements changed, they changed the system. When new workflows were needed, they built them. External developer support became the exception rather than the rule.
The platform also integrated with Power BI, allowing Hess to build custom dashboards and bring operational insights directly to the teams that needed them.
”The power and flexibility of the EnergySys platform are what make it stand out. It's adaptable to our evolving needs, whether offshore or onshore. It gives us a centralised, scalable solution that improves how our teams manage and trust their data. It's become a key part of how we operate.
IT Application Owner and Engineering Systems Specialist, Hess
Outcomes: enterprise-scale production data management, owned by the team
Hess’s EnergySys deployment grew from a focused offshore implementation into an enterprise-scale production data management platform covering thousands of wells across two very different operational environments.
- Production data management running across both offshore Gulf of Mexico assets and Hess’s large-scale North Dakota Bakken operations.
- Automation of key production allocation and reporting workflows, reducing manual effort and improving data accuracy across lease operators, accounting, and downstream teams.
- Internal configurators building and adapting workflows themselves, reducing reliance on external developer support in line with Hess’s cost-reduction goals.
- Power BI integration giving operational teams direct access to production insights through custom dashboards.
- Data quality issues identified and resolved through the platform’s transparency, improving confidence in production data across the business.
The bottom line.
Hess built an EnergySys deployment that scaled from a focused offshore operation to one of the most demanding onshore environments in the US, across thousands of Bakken wells, configured and managed by their own team.
The quote above says it plainly. A platform that their configurators called powerful and flexible. A solution, their IT team said, had become a key part of how they operate.
That is what it looks like when production data management is done well.
