If you’ve ever managed a drilling program, you know the feeling: spreadsheets everywhere.
Data pouring in from multiple sources, budgets stretching thin, and deadlines creeping closer. The pressure is on to make critical decisions - and fast.
But with a mountain of numbers in front of you, finding the insights that actually help you optimise drilling, control costs, and maximise project value feels like searching for a needle in a haystack.
Sound familiar?
Over the years, I’ve had countless conversations with data managers, geologists, and drilling superintendents from across the industry, and one common frustration keeps coming up:
There’s a fundamental disconnect between the way we collect drilling data and the systems we use to manage it.
💬 “Our entire drilling cost and production management feels like it’s being run on 10,000 spreadsheets.” – Data Manager, Tier 1 Gold Miner
The disconnect between data and decisions We’re collecting more drilling data than ever - depths, intervals, time logs, consumables, survey results, and beyond. But here’s the real question: Are we actually using this data to improve performance?
Exploration costs are at an all-time high. Finding new resources is getting harder. Yet, financial tracking for these critical projects remains outdated and fragmented. The result? Despite the industry’s push toward digital transformation, the systems we rely on to manage drilling operations aren’t built to handle real-time cost tracking or performance optimisation.
And that brings us to the real issue: the limitations of geological databases. These systems store valuable drilling data, but they weren’t designed to manage operational performance or financial oversight, leaving teams with no choice but to juggle spreadsheets to fill the gaps.
So why are we stuck here?
To understand the problem, we need to take a closer look at what’s happening inside the very systems we rely on to manage our most valuable information: our geological databases.
Life Inside the Geological Database It’s tempting to think, “We already have a database -why not just put everything in there?”
But if you’ve ever tried to push operational drilling data into a geological database , you know it’s never that simple. Here’s what really happens:
Step 1: Your inbox is flooded with daily (sometimes hourly) updates from drilling contractors. The formats? All over the place. Some send neatly formatted CSVs. Others prefer Excel - complete with macros, pivot tables, and hidden surprises. A few still cling to paper plods, which arrive as WhatsApp screenshots or email attachments. And then there are the PDF reports - cryptically named things like “Plods client 8-11-2023-080320211512541_1_copy-(1)_xls.pdf.” Good luck figuring that one out. Step 2: With Python scripts, SQL queries, Power Automate, and maybe a few silent prayers, your team tries to clean and structure the data. But it's not just the formatting - there's also: Column mapping and renaming (because no two contractors call things the same), unit conversion (feet? metres? who knows), and activity reconciliation. Is 'rod handling' the same as 'rod pulling', or is there some subtle difference only the driller understands?Step 3: After hours (sometimes days) of effort, the data is finally loaded into acQuire, DataShed, or Fusion. But the database struggles to accommodate drilling operations data - it wasn't built for this. Queries slow to a crawl, and geologists start grumbling about lag. Your schema - once clean and efficient - is now clogged with fields and tables that were never meant to exist. It's enough to make even the most seasoned DBA question their life choices.Step 4: Geological databases have reporting tools, but they're not built for real-time drilling insights. Your reports are static - pre-defined, rigid, and unable to answer the exploration manager's urgent questions. Want to track penetration rates? That's days of extra data wrangling before you get an answer. Need a quick productivity breakdown? Not happening.Step 5: Even with all that effort, mistakes still creep in. Was that depth in metres or feet? Did the driller use the wrong code? Are those cost allocations correct? These small errors compound over time, skewing your resource models and putting data integrity at risk. A Mismatch of Purpose & Capability For years, managing drilling operations within a geological database has been the default—no matter how inconvenient. But the reality is, there’s a fundamental mismatch between what these systems were designed to do and what drilling teams actually need.
Why? Let's break it down.
Different Data, Different Demands Geological data and drilling operational data are fundamentally different:
Geological data is static or slow-changing, used for long-term resource modelling and analysis.Drilling data is dynamic, fast-moving, and time-sensitive -tracking metres drilled, hours worked, consumables used, and continuous updates from the rig to the office.Trying to force both into the same system is like asking a paramedic to perform open-heart surgery - wrong skill set, wrong tools.
Structural Incompatibility Geological databases are built with rigid schemas and relational structures, designed to preserve long-term data integrity and geological relationships. They were never intended to handle the high volume, rapid updates, and operational flexibility required for drilling data.
Here’s where the problems start:
Performance Bottlenecks : A constant influx of drilling data overwhelms geological databases, slowing queries, overloading servers, and reducing overall system efficiency.Messy, Unmanageable Data Models : To fit drilling data into these systems, you’re forced to add extra fields and tables, creating a cluttered, confusing schema that’s difficult to maintain, query, and scale.Limited Reporting & Visibility : Geological databases generate standard geological reports (drill hole logs, cross-sections, resource estimations), but they lack the real-time dashboards, operational insights, and flexible reports that drilling teams and data managers actually need. Managing the Operational & Financial Realities of Drilling This is where the mismatch between geological databases and drilling operations becomes even more obvious.
Drilling programs are highly complex, both operationally and financially. Managing them effectively requires a system that can:
Handle Complex Contracts with Ease : Drilling contracts are rarely straightforward. They often include variable meterage rates, minimum drilling rates, slow penetration clauses and complex pricing structures. Geological databases aren't built to manage these financial complexities. This leads to manual reconciliation efforts, billing disputes, and lack of real-time visibility into actual drilling costs.Track Costs in Real-Time : Drilling is expensive. Every idle rig means lost revenue and budget overruns. To control costs effectively, you need live visibility into metres drilled, consumables usage and rig activity breakdowns. Geological databases rely on batch data transfers and manual reporting, making it impossible to track costs proactively or catch overruns before they escalate. Automate Critical Drilling Metrics : Metrics like penetration rate, cost per metre, rig utilisation, and downtime are essential for optimising drilling performance, evaluating contractor efficiency, and making data-driven decisions. But in a geological database? Extracting these insights requires manual SQL queries, spreadsheets, and hours of data wrangling. By the time you have the numbers, they’re already outdated.Streamline Plod Approvals : Managing plod approvals through a geological database? Not possible. Instead, teams are stuck with endless email chains, manual approval workflows, and no real-time visibility into approval status.Beyond these core financial and operational aspects, drilling programs demand capabilities that geological databases are simply not designed to offer:
Scheduling Rigs : Rig scheduling is critical for maximising rig utiliation, minimising downtime, and keeping projects on schedule. But geological databases lack the specialised tools needed for dynamic rig allocation and scheduling. Without a purpose-built system, teams are forced to rely on spreadsheets and manual coordination, increasing the risk of scheduling conflicts and inefficiencies.Collaborating Effectively : Drilling programs involve multiple stakeholders - geologists, drilling managers, data teams, contractors, and more. To keep operations running smoothly, teams need a centralised platform for real-time data access, a shared view of drilling progress and seamless communication between teams. Geological databases, with siloed data and rigid access controls, create collaboration bottlenecks instead of streamlining workflows. Learn about the collaboration revolution in mining here The bottom line? A system built for geologiy can't handle drilling operations.
While geological databases excel at managing geological data, they simply aren’t designed for the complexities of drilling operations. Using them for everything leads to inefficient workflows, delayed insights, inaccurate cost tracking, and a constant struggle to keep up with the fast-moving nature of drilling programs.
The Need for a Purpose-Built Drilling Solution Industry-leading software like acQuire, Datashed, Micromine, and Geobank excel at managing geological data, helping geologists build complex 3D models, handle vast datasets, and perform sophisticated analyses.
But when it comes to drilling data - the very information that drives exploration and production decisions - there’s a major gap.
For decades, drilling data management has been an afterthought. Without a fit-for-purpose solution, companies have been forced to rely on makeshift workarounds, each with serious limitations:
Custom-Built Systems : Internal IT teams spend countless hours (and budget dollars) creating bespoke drilling databases using SQL servers, Access databases, and a tangle of custom scripts. These systems often require ongoing maintenance, lack user-friendly interfaces, and struggle to keep up with the evolving needs of drilling operations.Force-Fitting into Geological Databases : As we’ve explored, trying to cram operational drilling data into a geological database creates a host of problems – from performance bottlenecks and data integrity issues to reporting limitations and workflow misalignment.Aging Technology : Some companies have relied on legacy software solutions, which are now end of life an often lack modern features, user-friendly interfaces, and robust integration capabilities. These systems perpetuate manual workflows and data silos. (Good time to reflect on your next step on your electronic plod solution)Consultancy-Driven Solutions : Reliance on small consultancies offers “drilling data management solutions” that are often just a thin veneer over a SQL database. These solutions might provide a basic interface or custom reporting capabilities but lack the depth, scalability, and ongoing support of a purpose-built drilling software.It's About The Drilling Data Model A specialised drilling software solution, built with its own data model, is designed to handle the specific requirements of drilling operations. Here’s why:
Tailored Data Model for Real-Time Operations Unlike geological databases, a specialised drilling platform is designed to capture and process real-time drilling data. This ensures accurate, up-to-the-minute information that’s crucial for decision-making, reducing delays and improving efficiency.
Seamless Collaboration and Workflow Integration Integrated collaboration tools connect geologists, drilling managers, data teams, and contractors in a single platform. With workflows tailored to drilling operations, teams can work together efficiently, eliminating communication gaps and manual processes.
Advanced Reporting and Insights Customisable dashboards and automated reports provide real-time visibility into drilling progress, costs, and rig performance. Proactive alerts help identify potential issues before they escalate, allowing teams to stay ahead of challenges.
Exploring Drilling Software Specialised drilling management platforms have emerged to address these challenges. Here are some of the top solutions available:
Krux Analytics
CorePlan
Colleagues Matrixx
BlackFox
Pro Tip: Research each software solution and request demos to find the best fit for your operation’s needs
Want to dive deeper into drilling software? Check out our guide 'Understanding Drilling Software: How to Choose the Best System '.
A Harmonious Data Ecosystem A specialised drilling platform doesn’t replace your geological database - it works alongside it. Together, they create a harmonised system where operational and geological data flow seamlessly.
By acting as a filter and translator, a specialised drilling software solution ensures that only the most relevant, validated, and essential drilling data enters your geological database. This prevents data clutter, improves integration, and allows your geologists to focus on what they do best - interpreting the earth.
Go Beyond Geological Databases Geological databases are a good starting point, but they’re not enough for modern drilling operations. Drilling data isn’t just metres drilled or collar locations - it’s real-time costs, rig performance, compliance tracking, and more.
To optimise drilling, your teams need instant access to the right information, without wrestling with spreadsheets. By combining your geological database with a specialised drilling software like CorePlan , you get the full picture of your operations.
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