doublet

Validate 2-D doublet injection-production physics and streamline derivations.

Updated Aug 6, 2025
One-click install
npx skills add https://github.com/ddempsey/co2injection --skill doublet
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: doublet
Source: https://github.com/ddempsey/co2injection/tree/main/.claude/skills/doublet
Command: npx skills add https://github.com/ddempsey/co2injection --skill doublet

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The skill offers structured physics validation and reasoning for the 2-D doublet (injection-production) model using streamline methods.

Core Features & Use Cases

  • Physics validation workflow and derivation tracing for bipolar-coordinate streamlines
  • Support for reviewing geometry, transport solvers (hydrodynamic, chemical, thermal), and breakthrough calculations
  • Debug reasoning guidance and explanations of key concepts, invariants, and edge cases

Quick Start

Explain and validate the doublet physics by inspecting streamline geometry, time-of-flight, and kernel formulations.

Frequently Asked Questions about doublet

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

FAQPage Schema
How do I validate doublet injection-production physics using streamline methods?

Validate doublet injection-production physics by inspecting streamline geometry, time-of-flight calculations, and kernel formulations to ensure derivations satisfy core invariants and conservation laws across edge cases.

How does bipolar-coordinate streamline geometry affect transport solver results?

Bipolar-coordinate streamline geometry directly shapes hydrodynamic, chemical, and thermal transport solver outputs by governing flow paths and time-of-flight distributions used in breakthrough calculations.

What is the best way to debug breakthrough calculation errors in a 2-D doublet model?

Debug breakthrough calculation errors in a 2-D doublet model by tracing derivations back to streamline geometry assumptions, verifying kernel formulations, and checking numerical stability across edge cases.

Can I apply bipolar-streamline modifications to thermal and chemical transport solvers?

Yes, bipolar-streamline geometry modifications apply to hydrodynamic, chemical, and thermal transport solvers, provided core invariants and conservation laws remain consistent throughout the derivations.

Why does my doublet streamline model fail conservation law checks at edge cases?

Doublet streamline models fail conservation law checks at edge cases when kernel formulations or time-of-flight derivations lose numerical stability, requiring structured physics validation to trace and correct the inconsistencies.