oil-gas-welllog-interpreter

Interpret well log data to generate formation evaluation reports with lithology, porosity, and fluid contacts.

Updated Mar 16, 2026
One-click install
npx skills add https://github.com/zlovexforever/zlx-claude-skills --skill oil-gas-welllog-interpreter
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oil-gas-welllog-interpreter
Source: https://github.com/zlovexforever/zlx-claude-skills/tree/main/oil-gas-welllog-interpreter
Command: npx skills add https://github.com/zlovexforever/zlx-claude-skills --skill oil-gas-welllog-interpreter

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you interpret well log data to derive formation properties and identify reservoir quality and likely fluid types, avoiding manual guesswork from raw curves.

Core Features & Use Cases

  • Structured formation evaluation: Produces a formation evaluation report with lithology, Vsh, porosity, Sw, and pay-zone style results from common open-hole suites (e.g., GR, RT, RHOB, NPHI, DT, SP, Caliper).
  • Quantitative petrophysical analysis: Computes shale volume, porosity (including gas-effect handling), and water saturation using Archie-style workflows, with transparent formulas and substituted constants.
  • Pay and fluid-contact interpretation: Applies cutoffs to estimate net pay and suggests likely OWC/GOC/GWC contacts with confidence levels, while flagging washout or low-quality intervals.
  • Use case: You have an LAS file or tabular log excerpt and need a reservoir summary that includes calculated parameters and an interpretation table suitable for decision-making.

Quick Start

Use the oil-gas-welllog-interpreter skill on the provided LAS content to generate a formation evaluation report with Vsh, porosity, Sw, net pay, lithology interpretation, and probable fluid contacts.

Frequently Asked Questions about oil-gas-welllog-interpreter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I interpret well log data for formation evaluation and pay zone identification?

To interpret well log data for formation evaluation, you parse LAS files or ASCII curve tables to calculate Vsh, porosity, and Sw, which identifies pay zones and reservoir fluids. This process generates a structured reservoir summary for decision-making.

Can I use LAS file content to calculate petrophysical parameters like Sw and porosity?

Yes, you can use pasted LAS 2.0 or 3.0 file content to calculate petrophysical parameters like Sw and porosity. The workflow parses depth and curve units, performs quality checks, and applies Archie-style equations with explicit formulas to derive water saturation and handle gas effects.

How do I identify net pay and fluid contacts like OWC or GOC from well logs?

Identifying net pay and fluid contacts from well logs involves applying Vsh, porosity, and Sw cutoffs to calculated petrophysical parameters. The interpretation suggests probable OWC, GOC, or GWC contacts with graded confidence levels while flagging low-quality intervals affected by washout.

Does this formation evaluation workflow handle tabular ASCII curve data exported from Petrel or Techlog?

Yes, this formation evaluation workflow handles tabular ASCII curve data exported from Petrel or Techlog, alongside LAS files and verbal curve descriptions. It parses standard open-hole and specialized log suites to perform quantitative petrophysical analysis across various data formats.

What are the limitations of interpreting well logs when curve data has washout or tool issues?

When well log curve data has washout or tool issues, interpretation limitations include reduced confidence in calculated porosity and water saturation values. The workflow explicitly quality-checks depth and curve units to flag these low-quality intervals, preventing inaccurate pay zone identification.