petroleum-pvt

Estimates black-oil PVT properties and screens condensate dropout from incomplete lab reports.

Updated Mar 5, 2026
One-click install
npx skills add https://github.com/jpfielding/claude.pnge --skill petroleum-pvt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: petroleum-pvt
Source: https://github.com/jpfielding/claude.pnge/tree/main/skills/petroleum-pvt
Command: npx skills add https://github.com/jpfielding/claude.pnge --skill petroleum-pvt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the screening and estimation of petroleum fluid properties (PVT) for black-oil systems, helping engineers quickly assess fluid behavior and data quality.

Core Features & Use Cases

  • PVT Property Estimation: Calculates bubble point, solution GOR, oil formation volume factor, gas z-factor, and separator shrinkage using established correlations.
  • Data Quality Checks: Provides a checklist for validating laboratory PVT reports against expected trends and physical plausibility.
  • Fluid Classification: Guides the decision-making process for classifying fluids as black oil, volatile oil, or gas condensate.
  • Use Case: When presented with an incomplete PVT report for a reservoir, use this Skill to estimate missing properties like bubble point and oil formation volume factor, and to flag potential inconsistencies in the provided data.

Quick Start

Use the petroleum-pvt skill to estimate the bubble point and oil formation volume factor for a black oil fluid given its API gravity, gas specific gravity, and reservoir temperature and pressure.

Frequently Asked Questions about petroleum-pvt

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

FAQPage Schema
How do I estimate bubble point and oil formation volume factor for black oil?

To calculate black-oil PVT properties like bubble point and oil formation volume factor, provide the API gravity, gas specific gravity, and reservoir temperature and pressure. The tool applies established correlations to screen fluids and estimate missing values.

How do I validate laboratory PVT reports for data quality and physical plausibility?

Validating laboratory PVT reports requires checking the data against expected trends and physical plausibility. This screening process uses correlations to estimate expected properties and flags potential inconsistencies or missing values in the provided PVT report.

Can I use correlations to screen gas pseudocritical properties and condensate dropout?

Yes, you can screen gas pseudocritical properties, gas formation volume factor, and condensate dropout using established correlations. This approach estimates fluid behavior when laboratory data is incomplete or serves as a quality check on existing PVT reports.

How do I classify reservoir fluids as black oil, volatile oil, or gas condensate?

Classifying reservoir fluids as black oil, volatile oil, or gas condensate involves analyzing estimated PVT properties and fluid behavior trends. The tool guides this decision-making process by evaluating properties like bubble point and solution GOR against established criteria.

Does this PVT property estimation integrate with nodal analysis and well test analysis?

Yes, the black-oil PVT property estimation integrates directly with nodal analysis, well test analysis, RTA, and surface facilities modules. This allows the estimated fluid properties to flow seamlessly into downstream reservoir and production engineering workflows.