stage-treatment-analysis

Analyze hydraulic fracturing stage data to diagnose screenouts and estimate ISIP.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill addresses the challenge of analyzing complex, often messy, hydraulic fracturing stage treatment data from various file formats, enabling detailed operational insights and diagnostics.

Core Features & Use Cases

  • Data Ingestion & Normalization: Handles CSV, TSV, Excel, PDF, and report exports, normalizing units and aligning timestamps.
  • Stage Segmentation & Metrics: Identifies individual stages and calculates key metrics like fluid pumped, proppant added, and average pressures.
  • Diagnostic Extraction: Detects screenout signatures and estimates ISIP (Instantaneous Shut-In Pressure).
  • Comparative Analysis: Enables stage-by-stage comparison using normalized metrics.
  • Use Case: A petroleum engineer has a frac van export file and wants to identify which stages experienced high treating pressures or potential screenouts, and compare their proppant loading and fluid volumes.

Quick Start

Analyze the provided stage treatment data file 'frac_data.csv' to identify any screenout events.

Frequently Asked Questions about stage-treatment-analysis

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

FAQPage Schema
How do I analyze hydraulic fracturing stage treatment data from a frac van export?

To analyze hydraulic fracturing stage treatment data, you process local frac van exports to normalize units, align timestamps, and segment stages. This extracts operational diagnostics like screenout signatures and ISIP estimates from pressure and proppant records.

What is the best way to detect screenouts and estimate ISIP from frac treatment data?

Detecting screenouts and estimating ISIP from frac treatment data involves processing shut-in records and pressure metrics. The analysis identifies screenout signatures and calculates Instantaneous Shut-In Pressure to diagnose high treating pressures across stages.

Can I use CSV, TSV, and Excel files for wellbore diagnostic stage analysis?

Yes, you can use CSV, TSV, Excel, and PDF files for wellbore diagnostic stage analysis. The process handles data ingestion and normalization from these various file formats to align timestamps and calculate derived metrics for stage-by-stage comparison.

How do I normalize metrics for stage-by-stage comparison of hydraulic fracturing data?

Normalizing metrics for stage-by-stage comparison of hydraulic fracturing data requires standardizing units and segmenting individual stages from treatment files. This enables comparative analysis of fluid pumped, proppant added, and average pressures across the wellbore.

Does hydraulic fracturing treatment analysis work with PDF report exports?

Hydraulic fracturing treatment analysis works with PDF report exports alongside CSV, TSV, and Excel formats. It ingests these files to process slurry, proppant, and shut-in records for operational diagnostics and stage segmentation.

What limitations exist when calculating derived metrics from local frac data files?

Calculating derived metrics from local frac data files requires proper timestamp alignment and data normalization. Limitations arise from messy or misaligned file formats, which must be resolved to accurately diagnose screenouts and compare stage metrics.