KBC (A Yokogawa Company) has launched Maximus 7.7, a field-wide advanced production modelling platform pitched at upstream production and flow assurance engineers running daily surveillance and optimisation rather than one-off reservoir studies.

The release lands against a stark investment backdrop. The International Energy Agency estimates nearly 90% of upstream investment since 2019 has gone toward offsetting production declines — spending that raises the operational value of models capable of staying aligned with actual field behaviour as basins mature and water cuts, pressures, and network conditions drift.

What changes in version 7.7?

Maximus 7.7 expands integrated asset modelling, improves ingestion of existing engineering models, enhances calibration of well digital twins, and simplifies model tuning. The platform connects engineering models with operational data, automates calibration, and represents the full production system — wells, gathering networks, pipelines, and surface facilities — so engineers can use trusted models routinely with minimal workflow disruption.

KBC lists four capability areas for the release:

• Model continuity: existing engineering models and operational data move into day-to-day workflows with less manual rework.
• Field calibration: well digital twins and network models stay aligned with measured field behaviour through automated calibration workflows.
• System-wide decisions: the platform represents interactions across wells, gathering systems, pipelines, and surface facilities.
• Operational confidence: trusted engineering models support production optimisation while reducing production, operability, and asset integrity risks.

Prasad Sethuraman, Maximus Product Manager, framed the update as a shift in where models earn their keep. "Maximus 7.7 is intended to make production models more useful in operations, not just in studies," he said. "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."

Why the focus on calibration rather than new models?

Chief Technology Officer Simon Rogers argued the bottleneck for operators is model maintenance, not model creation — the industry's standing problem of digital twins and network models decaying as field conditions change between study cycles.

"Engineering models deliver value only when they reflect operational reality," Rogers said. "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."

The positioning matters for operators weighing integrated asset modelling spend. If the IEA's estimate holds — roughly nine of every ten upstream dollars since 2019 spent fighting decline — the commercial case for software rests less on generating new forecasts and more on keeping calibrated models current enough to guide day-to-day allocation, lift optimisation, and flow assurance decisions.

The watch item

Maximus 7.7 is available now from KBC. The metric to track is adoption: whether operators move calibrated models from periodic study use into daily production surveillance workflows, and whether automated calibration measurably cuts the manual rework that typically sidelines digital twins between engineering reviews.