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neqsim-emulsion-separation SKILL.md skillA

neqsim-emulsion-separation from equinor/neqsim is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add equinor/neqsim/neqsim-emulsion-separation@git:20261102.a95f205

Pins git:20261102.a95f205 in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: equinor/neqsim
Path: .github/skills/neqsim-emulsion-separation/SKILL.md
Versions recorded: 3
Latest version: git:20261102.a95f205, committed Nov 2, 2026
First version recorded: Oct 28, 2026
Size: 7,581 bytes
Repository stars: 167
License: Apache-2.0

Run optional NeqSim oil-water emulsion separation studies. USE WHEN: troubleshooting rag-layer or densely packed zone (DPZ) growth, emulsion carryover, coalescence-limited capacity, water-cut changes, droplet-size or temperature sensitivity, or measured separator trends. Preserve existing process calculations; use explicitly estimated inputs when measurements are absent and label uncalibrated screening results.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Oil-water emulsion separation studies

Use `@emulsion-separation` and the model in
`neqsim.process.equipment.separator.emulsion`. Read the
[study guide](../../../docs/process/equipment/emulsion-separation-study.md)
for exact equations, units, APIs, numerical checks and applicability before
running a calculation. Read the current Javadocs for overloads and setup order.

## Build from the existing separator

1. Start from a solved `ThreePhaseSeparator` with oil and aqueous phases.
   Record EOS, mixing rule, fluid characterization, absolute pressure and
   temperature. Reuse named process objects rather than reconstructing an
   unrelated fluid from guessed component fractions.
2. Create `EmulsionSeparationStudy` with the separator and an explicit effective
   separation area in m2. The study copies state; never initialize properties
   or alter phase inventories on the live separator to run the study.
3. Pass dispersed-water flow in m3/s to `run(...)`. If the input is a flux in
   m/s, multiply it by the declared effective area first. Do not equate total
   produced-water flow to emulsified-water flow without declaring that assumption.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add equinor/neqsim/neqsim-emulsion-separation@sha256:484cffd0d733effc

The line at the top of this page pins the label git:20261102.a95f205, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

[![mdr](https://markdownregistry.com/badge/art_qcioykrka63nllf3.svg)](https://markdownregistry.com/a/art_qcioykrka63nllf3)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Oct 28, 2026 and Nov 2, 2026, about one every 3 days.

version	committed	commit	size	audit
git:20261102.a95f205 latest	2026-11-02	a95f205	7,581 B	A	view · diff
git:20261101.5d0edbd	2026-11-01	5d0edbd	7,142 B	A	view · diff
git:20261028.56febaa	2026-10-28	56febaa	7,214 B	A	view

Audit of the latest version

A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.

pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (7581 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag

Source

GitHub

equinor/neqsim · 167 stars · license Apache-2.0 · pushed 2026-11-08 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_qcioykrka63nllf3
GET https://markdownregistry.com/api/v1/resolve?ref=equinor/neqsim/neqsim-emulsion-separation
GET https://markdownregistry.com/api/v1/blob/484cffd0d733effcf5729359174e61bc506ad477673188dc49a6ba3237be06de

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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