Our Mission

Keep drilling decisions tied to traceable evidence

DrillingMetrics connects live operations, historical performance, and engineering models so field and office teams can inspect the same evidence without rebuilding the well context for every decision.

  • Live and historical
  • Measurements and models
  • Direct technical accountability
Live operations dashboard with well state, rig activity, time traces, and run KPIsTorque-and-drag model compared with actual hook load and torqueDirectional Response Dashboard showing rotation-only BHA build and walk tendencies
Live + historicalOne analytical approach across active and completed wells.
Physics + statisticsDeterministic models and measured performance kept in context.
Field + officeThe same operational evidence wherever decisions are made.
Evidence + judgmentAutomation supports responsible engineering decisions.

Why it exists

Connect the context usually lost between drilling data sources.

Time is lost matching time to depth, reconnecting surveys and BHAs, separating operating states, and checking models against actual response. Every handoff can strip away another piece of the engineering story.

DrillingMetrics makes that context part of the system, so dashboards, alerts, reports, and AI workflows begin from consistent evidence instead of another manual reconstruction.

01

Data

Streams, reports, surveys, BHAs, mud data, and offset records.

02

Context

Time, depth, wellbore, run, rig state, units, and provenance.

03

Models

KPIs, hydraulics, torque and drag, dysfunctions, and comparisons.

04

Decisions

Operational views and explanations that teams can verify.

Engineering principles

Make every output stand up to the next engineering question.

The chart is only useful if the team can inspect its context, assumptions, and supporting evidence.

01

Context before comparison

Preserve depth, operating state, BHA, section, units, and data lineage before ranking performance.

02

Models beside measurements

Make assumptions and deviations visible so modeled response can be evaluated against field behavior.

03

Automation with evidence

Automate repetitive preparation while keeping the underlying traces, calculations, and detected events available for review.

04

Judgment stays human

Surface the evidence most likely to matter without pretending software owns the operational decision.

A focused technical operation

Technical delivery stays close to the engineering work.

DrillingMetrics is led by founder and technical lead Bahri Kutlu. Product development, drilling-engineering interpretation, and customer implementation stay connected instead of passing through layers of generic sales and account management.

  • Primary focus on Permian Basin and South Texas operations.
  • Experience across onshore and offshore basins worldwide.
  • Standalone analytics or integration with project-management support.
Operational inputs
Live streamsDaily reportsSurveysBHAsOffsets
DrillingMetricsTime · Depth · Wellbore · Run · Rig state
Engineering outputs
KPIsModelsAlertsComparisonsReports

Start with one well or one workflow.

Discuss the available data, operating context, and decision with the person building and applying the platform.

Start a technical discussion