This conference is designed for large and mid-cap onshore operators who already have the fundamentals of measurement and allocation in place—and are now living with the consequences of scale: commingling, shared infrastructure, tighter regulatory expectations, and the internal complexity that comes with multiple teams relying on the same numbers for different purposes across production, gas, flaring, emissions, and water.
The emphasis across the agenda is therefore on economically viable approaches to more accurate, defensible measurement that directly support financial performance and risk management.
- What survives regulatory review and audit challenge?
- Addressing the factors that create friction with partners and royalty stakeholders
- And what quietly fails months or years later when assumptions are questioned, teams change, or evidence can’t be reconstructed
As large and mid-cap operators told us during consultation, oil, gas, and water rarely reconcile cleanly once operations scale — even when individual meters are performing exactly as specified. As pads expand, commingling increases, and facilities become more complex, variance stops being an exception and becomes a structural feature of the system. The question shifts from “is the meter accurate?” to: can you explain the outcome and defend the logic?
As one measurement lead put it:
“Often the exposure isn’t the error — it’s the part you can’t explain six months later.”
— Measurement Lead, Large Operator
The unifying objective of the agenda is to help operators define what a workable measurement operating model looks like in 2026 — one that links strategy, governance, and execution under conditions of regulatory uncertainty, increasing commingling, and sustained external scrutiny. For many organisations, the hardest part is not technical capability; it’s alignment: operations, production accounting, emissions, and regulatory teams using the same source data with different assumptions, tolerances, and controls.
Rather than promoting a single “best practice,” speakers focus on how different operators design models that fit their:
- scale and asset configuration
- risk profile and approval environment
- partner structures and reporting obligations
Attendees will leave with a clearer sense of:
- where discipline is non-negotiable
- where judgement is acceptable (and how to evidence it)
- and where targeted investment genuinely reduces risk rather than adding permanent overhead
This is not about perfect measurement. It is about measurement that survives review, supports decisions, and scales without constant rework.
Another core learning theme is how operators define defensible boundaries between measurement, estimation, and modelling — and how they document those decisions so they remain credible under later scrutiny. The agenda looks closely at failure patterns that repeatedly create exposure for scaled operators, including:
- flare volumes diverging across operational systems, emissions systems, and external reporting
- estimation logic being applied inconsistently across assets or time periods
- approvals and assumptions living in email threads rather than controlled governance artefacts
- “temporary” workarounds becoming permanent, undocumented practice
As one emissions reporting lead described it:
“Regulators don’t mind judgment. They mind contradictions.”
— Emissions & Reporting Lead, Mid-Cap Operator
A recurring large-operator challenge is demonstrating — on paper and in data — that mixed volumes are being allocated fairly in a way that partners, auditors, regulators, and royalty owners will still accept later, when:
- asset configurations have changed
- staff and contractors have turned over
- systems have been upgraded or replaced
- and the original assumptions are no longer “in people’s heads”
Attendees will explore what experienced operators do differently when they design production, flare, fuel, and supporting data systems with defensibility as a first-order objective.