Reframing Drilling: From Data Capture to Performance Optimisation

Drilling is becoming increasingly digitised, but performance gaps still exist across rigs, crews, contractors, and sites. Jody Conrad shares why the next phase for the industry is not simply collecting more data, but using operational insight to improve performance in real time — connecting drilling activity directly to productivity, cost, and business outcomes.

For years, the mining industry has invested heavily in digitising drilling. The focus has been clear: improve visibility, standardise workflows, and make sure operational data is captured accurately.

And while progress has not always been fast, much of that transformation is now happening.

Most modern drilling environments operate with some level of digital infrastructure. Activities are tracked. Reporting is faster. Data is more accessible. Processes are becoming more consistent.

But despite all of that progress, one thing still stands out.

Performance variability across drilling operations remains significant.

Significant variability in drilling performance still exists across sites and programs — and in many cases, teams struggle to understand the operational factors driving those differences in real time.

Cost drivers remain difficult to isolate. Operational inefficiencies are often identified after they have already impacted performance. And too many decisions are still being made looking backwards instead of while the shift is happening.

That is the shift starting to happen across the industry now.

The challenge is no longer just digitisation. It is optimisation.

A New Layer Emerging

As the technology landscape matures, it is becoming clear that drilling software is evolving into different layers.

Some systems are built to manage operations and workflows. Others focus on storing and governing data. Increasingly, another layer is emerging — one focused specifically on improving drilling performance.

This is where the next wave of value will come from.

Because running a drilling program efficiently is not the same as improving drilling performance.

And collecting data does not automatically create better decisions.

The real opportunity sits between activity and outcome: understanding what is happening operationally, why it is happening, and what action should happen next.

The Problem with “More Data”

For a long time, the industry has assumed that more data would naturally lead to better decisions.

In reality, more data has often created more complexity.

Teams are now working across multiple systems, each with its own version of the operation. Data is captured, transferred, structured, and stored — but not always translated into clear operational insight.

In many operations, teams spend more time managing data than improving performance from it.

And by the time issues become visible in reports, the cost of those issues has already been absorbed into the operation.

The result is something many mining teams are now experiencing firsthand: they are data-rich, but still struggling to make faster operational decisions.

We have digitised reporting faster than we have digitised decision-making.

Where Optimisation Begins

Optimisation is not about producing another dashboard showing what happened yesterday.

It is about understanding what is happening now — while there is still time to improve the outcome.

That requires a different capability.

One that can look at performance at a granular level, benchmark it across rigs, crews, contractors, and sites, and connect operational activity directly to the outcomes that matter.

Not just metres drilled, but cost per metre.

Not just utilisation, but productivity.

Not just activity, but operational impact.

This is the role Krux is starting to play.

Krux does not sit inside the workflow systems coordinating drilling activity, nor inside the enterprise systems storing geological or corporate data. It operates as an operational intelligence layer — capturing drilling data at the point of activity and translating it into actionable insight in real time.

That distinction matters.

Because optimisation does not require another system to run drilling.

It requires a way to improve drilling performance while the work is still happening.

From Activity to Accountability

One of the biggest challenges in drilling has always been fragmentation.

Different contractors. Different rigs. Different operating styles. Different interpretations of what “good performance” actually looks like.

Without a consistent operational lens, meaningful comparison becomes difficult.

What starts to change with an optimisation layer is visibility.

Teams can begin benchmarking performance across sites, contractors, and drilling programs using consistent operational measures. Patterns become easier to identify. Underperformance becomes visible earlier. Best practices can be replicated faster.

And importantly, conversations start to shift from opinion to evidence.

Over time, drilling stops being viewed as a collection of disconnected activities and starts being managed as a measurable performance system.

Linking Operations to Outcomes

Perhaps the most important shift is the growing connection between operational performance and financial outcomes.

Historically, drilling has often been treated as a cost centre — necessary to support exploration and production, but rarely connected directly to broader business performance.

That is beginning to change.

When operational activity can be tied directly to productivity and cost, small inefficiencies become much more visible. Delays that seem minor at the rig level start to reveal significant cumulative impact across multiple rigs, crews, or sites.

At the same time, even small operational improvements begin showing measurable financial value.

This changes the conversation.

From metres drilled to cost per metre.

From utilisation to productivity.

From activity tracking to operational return on investment.

And when drilling performance becomes measurable in those terms, drilling starts becoming more than an operational function to manage. It becomes a lever to improve broader mining performance.

A More Strategic Conversation

This shift extends well beyond the field.

As drilling performance becomes more transparent and more directly connected to business outcomes, it starts moving into strategic conversations — not just with operational leaders, but increasingly with executives, finance teams, and sustainability groups.

Energy use is one example.

Fuel has always mattered in drilling because it impacts cost. But today it is also becoming a performance signal tied to efficiency, emissions, and sustainability objectives.

Understanding how energy is consumed across drilling operations introduces another layer of optimisation — one that connects operational behaviour directly to ESG reporting and broader business priorities.

That is another sign of where the industry is heading.

Drilling is no longer just an operational discipline.

It is becoming a strategic one.

The Opportunity Ahead

The mining industry does not simply need more tools to manage drilling.

It needs better ways to improve drilling performance using the systems and data already available.

That is the distinction shaping the next phase of technology adoption.

Operational systems will continue to play an essential role. Enterprise data platforms will remain critical. But the greatest opportunity sits in the layer connecting them — the layer that turns operational activity into insight, and insight into action.

That is where Krux sits.

Not as a replacement for existing systems, but as something that strengthens them.

An operational intelligence layer that starts with drilling performance, but has the ability to influence broader mining outcomes.

Because ultimately, the companies that gain the greatest advantage will not be the ones collecting the most data.

They will be the ones that can turn operational insight into action faster than everyone else.