Operational Excellence
Methodology and Quality Control
A rigorous process based on industry standards and decades of experience, designed to guarantee the reliability of every delivered data point.
Process
Workflow
Seven systematic stages from inventory to final delivery
Inventory
Complete cataloging of available documents, gap identification, and prioritization.
Digitization
High-resolution scanning of physical documents with optimized parameters.
Vectorization
Conversion of raster images to digital curves using specialized software.
Verification
Quality control comparing digital data with original documents.
Correction
Adjustment of identified errors: scales, depths, anomalous values.
Curve Splicing
Digital merging or "splicing" of vectorized, validated curves in .LAS format — equivalent to services run at different times and conditions — so a single file holds all the log information of a well (a composite log).
Documentation
Generation of run and splice diagrams for traceability.
Factors Affecting Quality
Understanding these factors is essential for successful reconstruction
Mechanical Factors
- Storage conditions
- Physical damage (tears, stains, incomplete, missing headers)
- Original printing quality
- Degradation over time
Well Conditions
- Well deviation
- Hole conditions
- Mud quality
- Temperature and pressure
Acquisition Issues
- Incorrect logging speed
- Poor calibration
- Incomplete runs
- Incorrect depths
Quality Control
Each project includes exhaustive verifications to guarantee the integrity and usability of reconstructed data.
Acceptance Criteria
Reconstructed data must meet rigorous standards before delivery:
- Geological coherence with neighboring wells
- Values within physically possible ranges
- Complete LAS 2.0 or 3.0 format
- Complete process documentation
Quality Certification
Each deliverable includes signed technical certification