Advanced analytics for drilling operations. Track NPT, analyze costs, benchmark performance, and identify optimization opportunities with data-driven insights from your drilling program.
Every drilling operation generates data that could improve performance — NPT events, cost actuals, ROP by formation, bit performance, mud properties, and more. But most operators struggle to turn this operational data into actionable insights.
The problem isn't a lack of data. The problem is that drilling data lives in disconnected daily reports, making systematic analysis nearly impossible. When a drilling engineer wants to understand NPT trends across multiple rigs, they're manually aggregating data from hundreds of PDF reports. When management asks "why are drilling costs 15% over budget?", someone spends days compiling data instead of hours analyzing it.
Excel-based analysis creates a vicious cycle. By the time someone manually compiles drilling data from multiple wells, the opportunity to take action has often passed. Analysis is reactive instead of proactive. Patterns that could prevent future NPT go unnoticed because no one has time to look for them. And when drilling programs repeat the same expensive mistakes across multiple wells, there's no systematic way to identify and correct the root causes. Teams know there are insights in the data — they just don't have the tools to extract them efficiently.
Modern drilling analytics platforms should automatically aggregate operational data, perform analysis, and present insights through dashboards and reports. The system should make it easy to identify trends, benchmark performance, and quantify the cost impact of operational issues.
Automatically categorize and track NPT across all wells. Identify top NPT sources, quantify cost impacts, and monitor improvement initiatives.
Track drilling costs in real-time vs. AFE budgets. Identify cost drivers, compare actuals to estimates, and forecast final well costs.
Compare drilling performance across rigs, contractors, basins, or well types. Identify top performers and understand what makes them successful.
Analyze ROP by formation, bit performance, mud properties, and other drilling parameters to optimize future wells.
Role-specific dashboards for drilling engineers, operations managers, and executives — each showing relevant KPIs.
Scheduled reports delivered automatically — weekly NPT summaries, monthly cost reports, drilling program dashboards.
Mi4's drilling analytics are built into RigReports and the Mi4 platform. Because all drilling data is stored in a central database (not scattered across PDF reports), analytics can be performed in real-time across your entire drilling program.
1. NPT Analysis & Trending
Automatically track all NPT events with detailed categorization (stuck pipe, waiting on equipment, weather, etc.). See which NPT categories cost the most across your drilling program. Identify rigs or contractors with higher-than-average NPT. Monitor NPT trends over time to validate that improvement initiatives are working. All NPT data is searchable and filterable by well, rig, contractor, NPT type, or date range.
2. Drilling Cost Analysis
Compare actual drilling costs to AFE estimates in real-time. Break down costs by category (rig dayrate, services, materials, etc.). Identify wells running over budget before TD. Forecast final well costs based on current performance. Analyze cost trends across drilling programs to inform future AFE estimates.
3. Performance Benchmarking
Compare drilling performance across wells using metrics like days to TD, ROP, NPT percentage, and cost per foot. Identify top-performing rigs and understand what they're doing differently. Benchmark new wells against offset wells or type curves. Use historical performance data to set realistic targets for future drilling.
4. ROP & Formation Analysis
Analyze ROP (rate of penetration) by formation to understand drilling efficiency. Compare ROP across different bit types, mud systems, or drilling parameters. Identify formations where drilling is consistently slow and investigate optimization opportunities. Use historical ROP data to improve drilling time estimates.
5. Custom Analytics
Build custom queries and reports for specific analytical needs. The Mi4 database stores all drilling parameters, making it possible to analyze correlations that wouldn't be visible in traditional reporting. For example, correlate mud properties with wellbore stability issues, or analyze the relationship between drilling speed and subsequent NPT events.
Use Case 1: NPT Reduction Program
A drilling contractor wants to reduce NPT across their fleet. Mi4 analytics reveal that "waiting on equipment" represents 35% of all NPT hours and costs $2.3M annually. The company implements improved equipment maintenance and staging protocols. Six months later, Mi4 dashboards show a 28% reduction in wait-time NPT, saving over $600K.
Use Case 2: Drilling Cost Optimization
An operator's drilling program is running 12% over AFE estimates. Cost analytics in Mi4 show that the overruns are concentrated in specific formations where drilling is taking longer than estimated. Engineering reviews Mi4's ROP data for those formations, identifies opportunities to optimize drilling parameters, and updates AFEs with more realistic time estimates for future wells.
Use Case 3: Rig Performance Benchmarking
An operator has 8 rigs drilling similar wells. Mi4 benchmarking shows that two rigs consistently drill faster with less NPT than the others. Management investigates and finds those rigs have more experienced company men and better maintenance practices. They implement training and maintenance improvements across the fleet, bringing other rigs closer to top-performer levels.
Drilling analytics transforms operational data from a historical record into a strategic asset. Instead of reactive problem-solving, teams can proactively identify and address issues. Instead of relying on intuition, engineers make data-driven decisions backed by analysis of hundreds of wells. And instead of repeating expensive mistakes, operators learn from historical performance and continuously improve drilling operations.
Drilling analytics in Mi4 works automatically once you're using RigReports for daily drilling reports. As drilling data enters the system, it becomes available for analysis immediately. There's no separate analytics implementation — it's built into the platform.
For operators with historical drilling data in other systems or Excel spreadsheets, Mi4 can import that data to enable long-term trend analysis. Many operators import 5-10 years of historical data to understand performance trends and inform benchmarking.
Schedule a demo to see drilling analytics in action, or learn more about RigReports.