completion-diagnostics

Interpret hydraulic fracturing diagnostic data to estimate closure pressure and diagnose screenouts.

Updated Mar 5, 2026

Search Tags:#completion #diagnostics #petroleum engineering #fracturing #pressure analysis #wellbore

Ready to run

npx skills add https://github.com/jpfielding/claude.pnge --skill completion-diagnostics

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: completion-diagnostics
Source: https://github.com/jpfielding/claude.pnge/tree/main/skills/completion-diagnostics
Command: npx skills add https://github.com/jpfielding/claude.pnge --skill completion-diagnostics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps interpret complex hydraulic fracturing diagnostic data to understand stage execution, identify issues like screenouts or cluster imbalances, and optimize future well designs.

Core Features & Use Cases

Pressure Analysis: Interpret DFIT, minifrac, and treatment pressure data to estimate closure pressure, ISIP, and net pressure.
Stage Performance: Evaluate cluster efficiency and perforation friction to diagnose uneven fluid or proppant distribution.
Troubleshooting: Identify operational anomalies such as screenouts, tortuosity, or equipment issues based on pressure signatures.
Use Case: When a user asks about why a specific stage in a hydraulic fracture treatment had unusually high treating pressure, this skill can analyze the pressure, rate, and slurry data to diagnose potential causes like near-wellbore restrictions or screenouts.

Quick Start

Use the completion-diagnostics skill to interpret the provided DFIT pressure falloff data to estimate closure pressure.

Frequently Asked Questions about completion-diagnostics

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

FAQPage Schema

How do I estimate closure pressure from DFIT or minifrac pressure falloff data?▼

To estimate closure pressure from DFIT or minifrac data, interpret the pressure falloff time series alongside rate and slurry information. This skill analyzes G-function plots and ISIP estimation to identify the closure pressure point and calculate the fracture gradient.

Why does my hydraulic fracturing stage have unusually high treating pressure?▼

High treating pressure during a hydraulic fracturing stage is diagnosed by analyzing pressure, rate, and proppant time series data. This skill identifies potential causes such as near-wellbore tortuosity, perforation friction, or screenouts based on pressure signatures.

How do I evaluate cluster efficiency and perforation friction in a frac stage?▼

To evaluate cluster efficiency, interpret stage execution diagnostic data including slurry distribution and pressure metrics. This skill screens perforation friction and cluster performance to diagnose uneven fluid or proppant distribution across the wellbore.

What pressure and slurry data formats are required to diagnose screenouts and tortuosity?▼

Diagnosing screenouts and tortuosity requires raw pressure, rate, slurry, and proppant time series data. This skill uses these continuous data inputs to perform net pressure decomposition and troubleshoot operational anomalies.

Can I use step-rate test data to troubleshoot treatment pressure and identify equipment issues?▼

Yes, step-rate test data is interpreted alongside treatment pressure signatures to troubleshoot wellbore issues. This skill analyzes the pressure and rate data to distinguish between formation tortuosity, screenout conditions, and equipment problems.

What is net pressure decomposition and how does it help diagnose frac performance?▼

Net pressure decomposition breaks down treating pressure into components like hydrostatic, friction, and perforation pressure. This skill analyzes these decomposed values to diagnose frac performance, stage execution quality, and near-wellbore restrictions.