neqsim-reservoir-depletion-screening

neqsim-reservoir-depletion-screening is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 70 tokens per session (1,302 once invoked), scanned A, original, Apache-2.0.

A simple reservoir-depletion model that estimates how pressure, production, water cut, and recovery change over time. Water cut is the fraction of produced fluid that is water rather than hydrocarbons.

In plain words
What is it for?
It helps generate year-by-year pressure, cumulative production, recovery factor, water cut, and hydrocarbon and water rates for a gas or oil reservoir.
Why use it?
It provides an early production and pressure profile before a detailed reservoir model exists. It makes a constant offtake rate and other screening assumptions explicit.

Skill for Claude CodeCodex

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

Good fit It helps generate year-by-year pressure, cumulative production, recovery factor, water cut, and hydrocarbon and water rates for a gas or oil reservoir.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/equinor/neqsim-community-skills/neqsim-reservoir-depletion-screening
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-reservoir-depletion-screening
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-reservoir-depletion-screening

README.md
[![agentmods](https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-reservoir-depletion-screening/github.svg)](https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-reservoir-depletion-screening)
Your own site
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-reservoir-depletion-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-reservoir-depletion-screening/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-reservoir-depletion-screening

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-reservoir-depletion-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-reservoir-depletion-screening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,302 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00070 $0.01302
Opus 5.5 $0.00028 $0.00521
Sonnet 5.5 $0.00014 $0.00260
Haiku 4.5 $0.00007 $0.00130

Measured 1mo ago against content hash 95eb8ed83368, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-reservoir-depletion-screening scanned grade A with 0 findings 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 1mo ago.

The scan reads SKILL.md. This mod also ships 4 executable files (examples/basic_reservoir_depletion.py, src/reservoir_depletion_screening/__init__.py, src/reservoir_depletion_screening/model.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/field-development/neqsim-reservoir-depletion-screening/SKILL.md · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reservoir Depletion Screening

Use this skill for a quick, public screening of how a reservoir develops with time. Given a recoverable volume, an offtake rate, and an initial and abandonment pressure, it produces a year-by-year profile of reservoir pressure, cumulative production, recovery factor, water cut, and hydrocarbon/water rates. It is intentionally simple and should guide users toward the validated NeqSim SimpleReservoir tank model (runTransient) and the NeqSim MCP runReservoir workflow for real depletion behaviour.

When to Use

  • When a user wants a first look at how reservoir pressure declines over field life.
  • When an early production/decline profile is needed before a reservoir model exists.
  • When an agent needs an upstream "reservoir vs time" feed for a production-routing or arrival-pressure screening chain.

Inputs

  • fluid_type: gas or oil.
  • initial_pressure_bara: reservoir pressure at start of production.
  • abandonment_pressure_bara: pressure at which production stops (screening).
  • recoverable_volume_sm3: recoverable hydrocarbon volume at standard conditions.
  • offtake_rate_sm3_per_day: constant screening offtake (hydrocarbon) rate.
  • years: number of years to simulate.
  • time_step_years: time-step size (default 1.0 year).
  • initial_water_cut_fraction: water cut at start (default 0).
  • water_cut_rise_per_year: linear water-cut rise per year (default 0).

Outputs

  • steps: per-step year, pressure_bara, cumulative_production_sm3, recovery_factor, water_cut_fraction, hydrocarbon_rate_sm3_per_day, water_rate_sm3_per_day, and depleted flag.
  • final_pressure_bara, final_recovery_factor.
  • plateau_years: years before production can no longer be sustained (or None).
  • years_to_abandonment: first year the reservoir reaches abandonment (or None).
  • depletion_warning: ok, watch, or high.
  • neqsim_available: whether the optional NeqSim package is importable.
  • assumptions: public assumptions and required follow-up.

Read the full file on GitHub · 132 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 1mo ago First seen · 132 lines · 70 tokens per session scan A 95eb8ed83368

Subscribe to this mod's changes

neqsim-reservoir-depletion-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed 4d ago), licensed Apache-2.0. It adds 70 tokens to every session and 1,302 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-19.

Related

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