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neqsim-near-well-and-injectivity

neqsim-near-well-and-injectivity is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 141 tokens per session (8,773 once invoked), scanned C, original, Apache-2.0.

A reservoir-engineering workflow for estimating how much fluid a well can produce or accept from the surrounding rock. It derives productivity and injectivity indices, which describe rate per unit pressure, and prepares reservoir-model data for NeqSim and OPM Flow.

In plain words
What is it for?
Use it to derive production or injection performance, check injector voidage requirements, create black-oil fluid tables, and pass reservoir results into wellbore or process models.
Why use it?
It replaces unexplained well-performance assumptions with results based on near-well simulation and rock-flow behaviour. It can also account for changes such as gas coming out of solution or a moving water front.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 4repo changed 14d ago C scan 141 tokens original Apache-2.0

Good fit Use it to derive production or injection performance, check injector voidage requirements, create black-oil fluid tables, and pass reservoir results into wellbore or process models.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/equinor/neqsim-community-skills/neqsim-near-well-and-injectivity
View source ↗ equinor/neqsim-community-skills equinor.github.io
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add equinor/neqsim-community-skills --skill neqsim-near-well-and-injectivity
Clone the repo
git clone --depth 1 https://github.com/equinor/neqsim-community-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for neqsim-near-well-and-injectivity

README.md
[![agentmods](https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-near-well-and-injectivity/github.svg)](https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-near-well-and-injectivity)
Your own site
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-near-well-and-injectivity"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-near-well-and-injectivity/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for neqsim-near-well-and-injectivity

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-near-well-and-injectivity"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-near-well-and-injectivity.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 141 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,773 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00141 $0.08773
Opus 5.5 $0.00056 $0.03509
Sonnet 5.5 $0.00028 $0.01755
Haiku 4.5 $0.00014 $0.00877

Measured 14d ago against content hash 526fc2d155bb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

neqsim-near-well-and-injectivity scanned grade C with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 14d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

&& rm -rf /var/lib/apt/lists/*
skills/subsurface/neqsim-near-well-and-injectivity/SKILL.md · 645 lines

How it starts

The opening of the file, as written. The whole thing — 645 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Near-Well Simulation, Productivity and Injectivity

NeqSim answers what a well can lift. It does not answer what the rock around the well will give or take. That gap is where most assumed productivity and injectivity indices live, and it is where this skill works.

Use this skill when a number like productivityIndex = 200 Sm3/(day·bar) or injectivity = 450 Sm3/(day·bar) is about to be typed into a model, and nobody can say where it came from.

When to Use

  • A productivity or injectivity index is about to be assumed rather than derived.
  • Injectors must be checked against a voidage requirement, not a rate target.
  • Productivity decay through the bubble point, or injectivity change as a water bank develops, affects the answer.
  • A NeqSim compositional fluid must become a black-oil PVTO / PVDG / PVTW deck section.
  • An Eclipse-format reservoir model must be built and run in OPM Flow, and its inflow relationship handed back to a NeqSim wellbore or process model.

Do not use this skill for CFD (see neqsim-cfd-coupling), for full-field development planning, or to publish a reserves number without a qualified reservoir-engineering review.

Inputs

  • fluid: the NeqSim compositional fluid to convert to black-oil PVT.
  • pressure_grid, reservoir_temperature: pressure nodes and temperature for the BlackOilConverter.convert call; standard conditions default to 1.01325 bara and 288.15 K.
  • scal_basis: pyscal WaterOil / GasOil endpoints and Corey exponents — swirr, swl, sorw, sgcr, sorg, nw, now, ng, nog, krwend, kroend, krgend.
  • rock_and_geometry: permeability, net pay, porosity, wellbore radius rw, drainage radius re, drain length and completion geometry.
  • grid_definition: for a radial model, INRAD, DRV, DTHETAV, DZV/DZ and TOPS (vector forms only).
  • well_controls: WCONPROD / WCONINJE targets and limits, and the group controls (GCONPROD, GCONINJE ... 'VREP') that set voidage replacement.
  • measured_pvt: optional laboratory Rs and Bo at initial pressure, used to validate the converted table.
  • assumed_index: the productivity or injectivity index currently in the model, for comparison against the derived value.

Read the full file on GitHub · 645 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 14d ago Changed · +2 lines 526fc2d155bb
  2. 26d ago Changed · +22 lines 7ab9373ccc18
  3. 28d ago Changed · +6 lines d9348bfe8338
  4. 1mo ago Changed · +18 lines · -97 tokens per session 0c535f6edc8a
  5. 1mo ago Changed · +65 lines · +21 tokens per session 801539efeb03
  6. 1mo ago Changed · +2 lines eb1838bfacf8
  7. 1mo ago First seen · 530 lines · 217 tokens per session scan C fa0b657a61e2

Subscribe to this mod's changes

neqsim-near-well-and-injectivity is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 141 tokens to every session and 8,773 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-19.

Scientific
Related

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