KBC (A Yokogawa Company) has announced the launch of Maximus® 7.7, a field-wide advanced production modelling technology for upstream production and flow assurance engineers responsible for daily production monitoring and optimisation.
The platform connects engineering models with operational data, automates calibration, and represents the full production system from wells and pipelines to surface facilities. Engineers can routinely use trusted models to make more confident operational decisions with minimal workflow disruption.
The International Energy Agency estimates that nearly 90% of upstream investment since 2019 has been directed toward offsetting production declines, increasing the need for models that remain aligned with field performance. According to Prasad Sethuraman, Maximus Product Manager, “Maximus 7.7 is intended to make production models more useful in operations, not just in studies. By improving data ingestion, calibration, and system-wide modeling, we are helping engineers make more regular use of trusted models for surveillance, planning, and production optimisation.”
Key capabilities include:
- Maintains model continuity by bringing existing engineering models and operational data into day-to-day workflows with less manual rework.
- Improves field calibration by keeping well digital twins and network models aligned with measured field behaviour through automated calibration workflows.
- Supports system-wide operational decisions by representing interactions across wells, gathering systems, pipelines, and surface facilities.
- Increases operational confidence by providing trusted engineering models that support production optimisation while reducing production, operability, and asset integrity risks.
Maximus 7.7 expands integrated asset modelling, improves engineering model ingestion, enhances well digital twin calibration, and simplifies model tuning.
"Engineering models deliver value only when they reflect operational reality," said Simon Rogers, Chief Technology Officer. "The challenge for many operators is not creating models; it's keeping them relevant as conditions change. We believe the future of engineering software lies in helping organisations maintain trusted models that continuously support operational decision-making."