Wireline Logging from First Principles to Practical Interpretation
Warren Krynie
Lead Geoscientist at Digital Surveying
Lead Geoscientist at Digital Surveying, with experience spanning energy & mineral exploration, geotechnical investigations, hydrogeology, and resource projects.
DATE:
12 October 2026
PARTICIPANTS:
Minimum: 10 | Maximum: 20
FEE:
Workshop Only Delegate: R3300
Workshop Conference Delegate: R2300
Student: R1150
TARGET AUDIENCE:
Field geoscience teams, data managers, consultants, mine/exploration/hydro specialists, early career professionals, and anyone tasked with making sense of borehole logs.
DURATION:
The session is a 1 Day Course
CPD POINTS:
CPD points awarded = 1
About This Event
This instructor-led and demonstration workshop will provide introductory to intermediate level knowledge to interested geologists, geophysicists, hydrogeologists, geotechnical engineers, drilling supervisors, and data scientists working with subsurface data to turn raw wireline logs into reliable geological, geotechnical, and hydrogeological decisions. In one day, participants will connect tool physics to data types, understand QA/QC and depth control, and become familiar with a repeatable workflow from pre-processing to interpretation and export for downstream modelling.
Participants will leave with:
- A clear mental model of petrophysical properties and how wireline tools measure them in situ.
- A robust data conditioning + QA/QC checklist you can apply to any project.
- Practical notes for point, interval, waveform, and image data, including ATV/OTV and full‑wave sonic.
- Familiarity with repeatable workflows from pre-processing to interpretation and export for downstream modelling.
What I Will Learn
By the end of the workshop, participants will be able to:
- Explain what petrophysics is and summarize the history of wireline logging, including in situ vs laboratory measurements.
- Select appropriate tools for wet vs. dry holes, accounting for depth of investigation and skin effects.
- Differentiate between point, interval, waveform, and image data – and manage null values and OEM source formats.
- Validate data quality: calibrations, baselines, spikes, noise, in‑hole effects, and repeat sections/test holes.
- Depth sampling, errors, and the reconciliation of log depth with geology/driller depths, including depth matching across runs.
- Data conditioning → import/composites → QA/QC → depth match → merge runs → interpret → export.
- Interpret point and interval data (contacts, filtering, resolution) and analyze waveform data.
- Image artifacts, caliper relevance, classification dictionaries, manual/automated picking, and visualizations (tadpoles, polar/rose plots).
- Composite datasets targeted to outcomes (geotech, hydro, litho‑structural, resource).
- Use cross‑plots and basic ML to explore clusters and create defensible, empirical models, while understanding input needs and output validity.
Prerequisites Required
Basic geology or geophysics literacy is an advantage; no prior experience required.
What Should I Bring
An example data package containing the following will be provided:
- LAS example suites (open & cased hole)
- CSV/Text composites and lab data joins
- Waveform (full wave sonic) samples
- Digital twin borehole images
