neqsim-artificial-lift-screening

Screens natural flow, gas lift, and ESP feasibility using a straight-line IPR model.

4|2|Updated May 31, 2026
One-click install
npx skills add https://github.com/equinor/neqsim-community-skills --skill neqsim-artificial-lift-screening-equinor
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: neqsim-artificial-lift-screening
Source: https://github.com/equinor/neqsim-community-skills/tree/main/skills/field-development/artificial-lift-screening
Command: npx skills add https://github.com/equinor/neqsim-community-skills --skill neqsim-artificial-lift-screening-equinor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Engineers and agents often need a quick, public-domain triage of whether a well can flow naturally or requires artificial lift before investing in detailed nodal analysis. This Skill estimates natural deliverability from a straight-line IPR and screens gas lift and ESP feasibility from the required bottomhole-pressure reduction, without proprietary well models or vendor pump curves. ## Core Features & Use Cases - Natural Deliverability Check: Computes natural rate from q = PI x (Pr - Pwf) and compares it against a target rate. - Gas Lift and ESP Screening: Evaluates gas-lift feasibility from a column-lightening limit and ESP feasibility from required head versus a maximum head. - Clear Recommendation Output: Returns natural-flow, gas-lift, esp, or infeasible, plus required pressure reduction, ESP head, and documented assumptions. - Use Case: Given a reservoir at 250 bar, PI of 8 Sm3/d/bar, and a target of 800 Sm3/d, an agent can instantly determine whether the well flows naturally, needs gas lift or ESP, or is infeasible, then route to validated NeqSim nodal analysis. ## Quick Start Ask the agent to screen whether a well with a given reservoir pressure, flowing bottomhole pressure, productivity index, and target rate can flow naturally or needs gas lift or ESP.

Frequently Asked Questions about neqsim-artificial-lift-screening

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

FAQPage Schema
How do I screen gas lift vs ESP for a well in Python?▼

Create an ArtificialLiftModel and call evaluate with reservoir pressure, flowing bottomhole pressure, productivity index, and target rate. The result includes gas_lift_feasible, esp_feasible, and a recommended_method of natural-flow, gas-lift, esp, or infeasible.

How is natural deliverability calculated with a straight-line IPR?▼

Natural deliverability uses q = PI x (Pr - Pwf), where PI is the productivity index in Sm3/d per bar. The bottomhole pressure required for the target rate is Pr minus target divided by PI.

Does this skill replace nodal analysis for artificial lift design?▼

No, it is an educational screening layer only. For real lift selection it redirects to validated NeqSim resources such as WellFlow and SimpleReservoir and to qualified nodal analysis and lift design.

Why does the screening always recommend ESP instead of gas lift?▼

This happens when gas_lift_available is left at False, so gas lift is never considered feasible. Set gas_lift_available to True so the column-lightening check can recommend gas lift when applicable.

What are the limitations of a straight-line IPR screening model?▼

It ignores turbulence, saturation, and bubble-point effects, uses a static blended fluid-water gradient, and applies a fixed gas-lift lightening fraction of half the hydrostatic head. Results are screening-level only, not design-grade.