well-log-evaluation
Complete well log evaluation workflow from LAS/DLIS loading through QC, petrophysical analysis, lithology classification, and visualization. Use when performing formation evaluation from well log data.
npx skills add majiayu000/claude-skill-registry --skill well-log-evaluation --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Well Log Evaluation Workflow End-to-end pipeline for formation evaluation, from loading well log files through quality control, petrophysical analysis, lithology classification, and multi-dimensional visualization. ## Skill Chain ```text lasio/dlisio welly petropy striplog pyvista [File I/O] --> [QC & Prep] --> [Petrophysics] --> [Lithology] --> [3D Viz] | | | | | LAS parsing Despike Vshale calc Facies log 3D well DLIS frames Normalize Porosity Intervals Fence diagram Curve extract Merge curves Sw, Perm Correlation Property vol ``` ## Decision Points | Question | If Yes | If No | |----------|--------|-------| | LAS format (.las)? | Use `lasio` for loading | Check DLIS format | | DLIS format (.dlis)? | Use `dlisio` for loading | Check file type | | Multiple wells or curve QC needed? | Use `welly` for management | Use lasio directly | | Full formation evaluation (Sw, phi, Vsh)? | Use `petropy` | Compute manually with numpy | | Need lithology column or stratigraphic log? | Use `striplog` | Skip to visualization | | 3D well trajectory visualization? | Use `pyvista` | Use matplotlib for log plots | ## Step-by-Step Orchestration ### Stage 1: Data Loading (lasio / dlisio) ```python impo
- Skill Chain
- Decision Points
- Step-by-Step Orchestration
- Stage 1: Data Loading (lasio / dlisio)
- Stage 2: QC and Preparation (welly)
- Stage 3: Petrophysical Analysis (petropy)
- Stage 4: Lithology Classification (striplog)
- Stage 5: Visualization (pyvista)
- Common Pipelines
- Standard Formation Evaluation
- Multi-Well Correlation
- Quick Log QC
- When to Use
- Common Issues
What does the well-log-evaluation skill do?
Complete well log evaluation workflow from LAS/DLIS loading through QC, petrophysical analysis, lithology classification, and visualization. Use when performing formation evaluation from well log data.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill well-log-evaluation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.