Data
Live streams, daily reports, surveys, BHAs, mud data, and historical records.
Drilling intelligence platform
Real-time and historical drilling intelligence, grounded in physics and field data.
Bring live streams, daily reports, surveys, BHAs, engineering models, and offset history into one operational view—so field and office teams can act on the same evidence.
- Physics-based models
- Real-time and post-well
- Desktop and mobile
One-second dataWITSML streams processed with operational context.
1,000+ wellsExperience across onshore and offshore operations.
Live + historicalThe same analytical methods across the well lifecycle.
Engineering firstMeasured, modeled, and inferred evidence kept distinct.
One connected workflow
Turn incoming data into defensible drilling decisions.
DrillingMetrics retains the engineering context around every result instead of treating a well as a generic dashboard feed.
Context
Time, depth, wellbore, run, rig state, units, quality, and provenance.
Models
KPIs, torque and drag, hydraulics, dysfunction beliefs, and comparisons.
Decisions
Operational views, alerts, reports, and explanations that teams can verify.
Platform
The workflows drilling teams need, in one system.
Performance and offsets
Compare like with like—not averages stripped of context.
Align relevant intervals by depth, exclude off-bottom states, and carry historical lessons into the active operation.
- Build consistent baselines across wells, runs, rigs, and crews.
- Review distributions and event patterns instead of relying on one average.
- Use the same definitions in live dashboards and post-well analysis.
Engineering models
Run the model beside the operation.
Compare field response with deterministic torque-and-drag calculations and modeled BHA critical RPMs while preserving the inputs, units, and assumptions behind each result.
- Generate torque-and-drag models and track actual pickup and slack-off response.
- Compare field RPM with modeled torsional, axial, and lateral critical speeds.
- Use model deviation or critical-speed proximity as evidence for earlier investigation.
Directional response
See how the BHA responds—not just where the well lands.
Combine trajectory and tortuosity context with rotation-only build and walk tendencies to distinguish the influence of BHA design, formation, and operating parameters.
- Compare trajectories, spacing, and tortuosity across wells.
- Quantify build and walk tendencies by BHA, stand, and interval.
- Separate repeatable BHA response from formation and parameter effects.
Field case study
A model deviation helped identify a drill-string washout.
Over three hours in the Midland Basin, actual pump pressure separated from the modeled response. The combined signal helped field personnel distinguish a downhole washout from a surface pump problem.
The case documents the observed signal and diagnosis without assigning a fabricated financial value.
Read the case studyAIDE + DM MCP Server
Bring drilling context into the AI client you already use.
The DM MCP Server exposes authorized DrillingMetrics tools to MCP-compatible clients such as ChatGPT, Claude, or custom applications. Ask for current KPIs, historical comparisons, dashboard links, or a scheduled daily status update—then inspect the supporting evidence.
- Connect conversational and programmatic AI workflows.
- Keep data access, routing, and authorization inside DrillingMetrics.
- Generate daily updates that separate facts, detected events, and decisions.
Mobile operations
Stay connected when the operation moves.
DrillingMetrics extends current well context beyond the desktop without turning a phone into a crowded control room.
Current status
See the active well, current operation, depth, and essential performance context.
Trends and models
Review selected time traces and engineering views from the field or away from the office.
Notifications
Receive relevant updates and return to the operational evidence behind them.
Technical resources
Engineering ideas you can apply.
Clear explanations of the data, statistical, and software choices behind trustworthy drilling analytics.
From drilling teams
Built around practical engineering work.
“We utilize the real time offset analysis tools on a daily basis (especially in the vertical intermediate section). We’ve found the real time road map is the best way to achieve reliable and repeatable results.”
“DrillingMetrics is a great tool to monitor down hole drilling dynamics in real time to troubleshoot dysfunctions and optimize parameters. It’s also very helpful comparing offset well performance to manage expectations and dial in drilling road maps thru challenging sections.”
“On our New Mexico well, DrillingMetrics gave us extensive data at the rig floor while drilling. Every curve dogleg stayed below the operator-defined limit, the RSS with mud motor BHA tripped through the curve on elevators, and we completed the 10,000-ft lateral in one run.”
Questions
What teams usually ask first.
Does DrillingMetrics work only with real-time data?
No. The platform supports live operations and historical-well processing. Teams can establish an offset baseline before a live deployment or use historical analysis as a standalone project.
What data sources can be used?
Typical inputs include WITSML streams, daily drilling reports, directional surveys, BHA records, mud reports, and existing historical databases. The exact integration depends on the source and authorization model.
Does AIDE make engineering decisions?
No. AIDE retrieves and explains available drilling evidence. Engineering calculations remain deterministic where applicable, and operational decisions remain with the responsible team.
Can service companies use the platform?
Yes. Operators and oilfield service companies have separate entry points, and historical batch-processing workflows can support service-company analysis and reporting.