Modernizing Existing Upstream Infrastructure for More Digital, AI-Enabled Operations
Upstream oil and gas operators are under increasing pressure to improve production performance while working within tight capital and workforce constraints. At the same time, much of the industry’s existing infrastructure was built long before industrial AI, edge computing, and large-scale analytics became operational priorities.
This white paper explores how E&P operators can modernize existing drilling and production environments without relying on costly, disruptive rip-and-replace programs. By connecting and contextualizing operational data from legacy control systems, instrumentation, and field assets, organizations can create a stronger digital foundation for analytics, predictive maintenance, remote operations, digital twins, and AI-enabled decision-making.
Rather than treating long-life infrastructure as an obstacle, operators can incrementally add connectivity, edge computing, monitoring, and analytics capabilities around assets already in the field. This approach helps preserve existing capital investments while making operational data more accessible, consistent, and actionable across engineering, maintenance, and production teams.
Learn how incremental modernization can help upstream operators:
- Connect and contextualize data across legacy and modern field systems
- Improve production visibility and respond faster to changing field conditions
- Move toward condition-informed and predictive maintenance strategies
- Preserve workforce knowledge and reduce dependence on fragmented tribal knowledge
- Enable digital twins, advanced analytics, and AI with reliable operational data
- Extend the value of existing infrastructure while improving capital efficiency
- Scale modernization across geographically distributed operations with less disruption
Download the White Paper
Learn how upstream E&P organizations can get more value from the infrastructure already in place by connecting field data, modernizing incrementally, and building the foundation for more digital, AI-enabled operations.
