Standardizing the Operational Rhythm to Eradicate Human Error
The primary source of non-productive time (NPT) is not equipment failure; it is planning ambiguity.
In this deployment, Endeavor’s Drilling Operations Toolbox (DOT) acted as a digital gatekeeper, forcing engineering teams to standardize their inputs against physics-based constraints.
This shifted the organization from 'assuming' data quality to 'verifying' it, ensuring that every well plan was mathematically viable before it reached the rig floor.
The Operational Blindspot
The Spreadsheet Risk. Standard industry workflows rely heavily on fragmented data sources—static spreadsheets, disconnected PDFs, and email chains.
This fragmentation creates a 'Governance Vacuum' where critical well parameters are manually transcribed and often error-prone. When these unverified inputs are fed into execution, the rig crew inherits a flawed plan.
The risk is not just bad data; it is the operational confidence placed in that bad data.
A major operator managing a multi-rig campaign faced a critical consistency problem. Each drilling team defined well parameters differently, leading to variability in execution and frequent 'interpretation errors' on the rig floor.
The lack of a unified data standard meant that best practices were isolated to individual superintendents rather than institutionalized across the fleet. The organization needed a single source of operational truth.
The Challenge
A major operator managing a multi-rig campaign faced a critical consistency problem. Each drilling team defined well parameters differently, leading to variability in execution and frequent 'interpretation errors' on the rig floor.
The lack of a unified data standard meant that best practices were isolated to individual superintendents rather than institutionalized across the fleet. The organization needed a single source of operational truth.
The Endeavor Intervention
Endeavor deployed the Drilling Operations Toolbox (DOT) as the mandatory entry point for all operational planning.
DOT did not just record data; it audited it.
By enforcing physics-based constraints at the point of entry, the system automatically rejected physically impossible parameters (e.g., impossible pump rates or invalid tubular geometries).
This ensured that the 'Digital Twin' was built on verified engineering reality, not administrative guesswork.
The Human Insight
The Drilling Superintendent realized that the friction caused by the system was actually its value.
By forcing the engineering team to be precise during the planning phase, the system eliminated ambiguity during the execution phase. The realization was clear: 'We aren't just simulating the well; we are auditing the plan.'
"The Drilling Engineer moved from 'assuming' data quality to 'verifying' it. By auditing the plan against physics before execution, we removed the primary source of non-productive time: bad inputs."
Fiduciary & Operational Impact
Causal Insight & Diagnostic Clarity
Planning variability was replaced by fleet-wide standardization.
Because every rig used the same verified data structure, relief crews and rotating superintendents could immediately trust the well plan without needing to "re-interpret" the previous shift’s notes. This seamless continuity reduced handover risk significantly.
Operational Response Strategy
Planning variability was replaced by fleet-wide standardization.
Because every rig used the same verified data structure, relief crews and rotating superintendents could immediately trust the well plan without needing to "re-interpret" the previous shift’s notes. This seamless continuity reduced handover risk significantly.
Fiduciary Impact & Capital Preservation
The primary value was the elimination of "Avoidable NPT."
Systemic Validation Standard
Data integrity is the prerequisite for operational safety.
This case established a new governance standard: A plan is not valid until it has passed the DOT audit. This moved the organization from subjective "peer review" to objective "physics review."
Strategic Imperative
Simulation without data integrity is not analysis; it is hallucination.
This case establishes Endeavor’s DOT as the essential 'Pre-Flight Check' for drilling operations.
In high-consequence environments, the cost of a data error is measured in millions. The only defense is a system that refuses to accept bad math.
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