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rta-production

Perform rate transient and decline curve analysis for oil and gas wells.

Updated Mar 5, 2026
Search Tags:#decline curve analysis#production analysis#rate transient analysis#EUR estimation#material balance#reservoir engineering
One-click install
npx skills add https://github.com/jpfielding/claude.pnge --skill rta-production
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: rta-production
Source: https://github.com/jpfielding/claude.pnge/tree/main/skills/rta-production
Command: npx skills add https://github.com/jpfielding/claude.pnge --skill rta-production

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps petroleum engineers analyze historical production data to forecast future well performance and estimate reserves, crucial for economic evaluations and field development planning.

Core Features & Use Cases

  • Decline Curve Analysis (DCA): Implements Arps models (exponential, hyperbolic, harmonic) to fit historical production data and predict future rates.
  • EUR Estimation: Calculates Estimated Ultimate Recovery (EUR) using various methods, including terminal decline rate switches and abandonment cutoffs.
  • Rate Transient Analysis (RTA): Includes tools for flowing material balance (FMB) to estimate Original Gas/Oil In Place (OGIP/OOIP) from transient flow data.
  • Use Case: A user can input historical monthly production data for a shale gas well and receive a forecast of future production, an estimated EUR, and an OGIP estimate based on flowing material balance.

Quick Start

Use the rta-production skill to forecast production for a well with an initial rate of 5000 Mscf/day, an initial decline of 1.5/yr, a b-factor of 1.3, and an abandonment rate of 100 Mscf/day for the next 60 months.

Frequently Asked Questions about rta-production

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

FAQPage Schema
How do I forecast shale gas production and estimate EUR from historical well data?▼

Rate transient analysis estimates Original Gas In Place (OGIP) by applying Blasingame flowing material balance to historical flowing pressure and production data, characterizing reservoir drainage volume from transient flow periods.

What is the best way to apply Arps decline models for unconventional reservoir forecasting?▼

Monthly production forecasting uses the solved Arps decline parameters to project future rates over a specified period, applying an abandonment rate cutoff to truncate the forecast at the well's economic limit.

Can I estimate OOIP and OGIP using flowing material balance from production history?▼

Flowing material balance estimates OOIP and OGIP by analyzing production history and flowing pressure data, using the Blasingame method to solve for original hydrocarbon in place from transient flow characteristics.

How do I switch from hyperbolic to exponential decline when calculating terminal decline rates?▼

The loss-ratio method analyzes the derivative of production rates over time to identify flow regime transitions and validate b-factor selection, improving the accuracy of decline curve fitting for reservoir engineering.

What production data do I need to run rate transient analysis and b-factor analysis?▼

Rate transient analysis and b-factor analysis require historical monthly production volumes and flowing pressure data to fit Arps models and perform flowing material balance calculations for EUR and OGIP estimation.

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