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neqsim-reservoir-souring-correlation

neqsim-reservoir-souring-correlation is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 98 tokens per session (1,679 once invoked), scanned A, original, Apache-2.0.

An educational model for estimating hydrogen sulfide, or H2S, formation in oil and gas wells as injected seawater mixes with formation fluids. It relates H2S to seawater fraction and checks results against a sulfate-and-mixing limit.

In plain words
What is it for?
Use it to calculate seawater fraction per well, fit or update a well-specific H2S relationship, warn about changing data patterns, estimate an upper bound, and screen measures such as sulfate removal or nitrate treatment.
Why use it?
It helps distinguish a fitted relationship from a physically impossible result and keeps the estimate current as new well measurements arrive.

Skill for Claude CodeCodex

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

not rated 4repo today A scan 98 tokens original Apache-2.0

Good fit Use it to calculate seawater fraction per well, fit or update a well-specific H2S relationship, warn about changing data patterns, estimate an upper bound, and screen measures such as sulfate removal or nitrate treatment.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-reservoir-souring-correlation"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-reservoir-souring-correlation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 98 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,679 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 $0.00098 $0.01679
Opus 5.5 $0.00039 $0.00672
Sonnet 5.5 $0.00020 $0.00336
Haiku 4.5 $0.00010 $0.00168

Measured 11d ago against content hash 2e9d0ae117c4, 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-souring-correlation 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 11d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (src/reservoir_souring/__init__.py, src/reservoir_souring/model.py, tests/test_reservoir_souring.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/subsurface/neqsim-reservoir-souring-correlation/SKILL.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reservoir Souring Correlation

Reservoir souring is biogenic H2S from sulfate-reducing microorganisms: seawater injected for pressure support brings sulfate, formation water and oil bring volatile fatty acids (VFA) as electron donors, and where the two mix at suitable temperature the sulfate is reduced to H2S. The produced H2S then rises with seawater breakthrough. This skill gives the quick, transparent tools: seawater fraction per well, a fitted correlation per well, and a physical upper bound to sanity-check it.

Combine it with neqsim-h2s-phase-partitioning, which converts the measured separator gas H2S into wellstream H2S before fitting.

When to Use

  • Per well: H2S versus seawater fraction correlation that a production model, allocation tool or optimiser can call.
  • Keeping those correlations current as new H2S measurements and water analyses come in (refit, forgetting of old data, drift warnings).
  • Judging whether a measured H2S is physically possible: sulfate balance and mixing-zone bound.
  • Screening mitigation: sulfate removal on the injected water, nitrate treatment, or a thermal cutoff in hot zones.

Inputs

  • Paired time series per well: seawater fraction f_sw (0 to 1) and H2S (wellstream mol-ppm from the partitioning skill, or gas ppmv, or produced-water mg/L; the correlation carries a units label and does not convert).
  • Tracer data for f_sw: produced-water Cl, Mg, Br (conservative) with formation and seawater end members. Do not use sulfate or barium.
  • For the bound: injected sulfate (mg/L), formation-water VFA as acetate-equivalent (mg/L), mixing-zone temperature, reaction efficiency, reservoir sink fraction, mitigation factor.

Outputs

  • seawater_fraction_from_tracer / seawater_fraction_multi_tracer (fraction plus residual that flags a non-conservative tracer).
  • Correlation: model, parameters, n, RMSE, R2, valid f_sw range, AICc, warnings, predict(f); JSON registry per well through save_registry / load_registry.
  • update_correlation(previous, ...): refit, optional exponential forgetting, warnings when the model family changes or the prediction at the latest f_sw moves more than 25 percent.
  • mixing_zone_h2s_mg_l, sulfate_balance_h2s_mg_l, rate helpers.

Read the full file on GitHub · 90 lines

Files

What ships with it

5 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. 11d ago First seen · 90 lines · 98 tokens per session scan A 2e9d0ae117c4

Subscribe to this mod's changes

neqsim-reservoir-souring-correlation is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 98 tokens to every session and 1,679 once invoked, about $0.0004 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 2026-10-26.

Scientific
Related

neqsim-reservoir-souring-correlation compared with skills from other repositories

neqsim-reservoir-souring-correlation next to 6 skills from other repositories
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