Seedlabs

Injectivity-Floor Calculator for Power-Law Fluids in Blended Porous Packs

A screening module for reservoir and process engineers that certifies minimum flow capacity (injectivity) for non-Newtonian, power-law fluids moving through Minkowski-blended porous or packed geometries, using two reference solves instead of full nonlinear simulations.

MathematicsHistory and Theory of Mathematics
Urban Stormwater and Fluid ManagementOil & gas enhanced recovery — polymer-flood injectivity screening and graded pack/filter design.

Concept

A screening tool for engineers who inject non-Newtonian (shear-thinning, power-law) fluids — polymer floods, chemical floods, polymer-laden slurries — into packed or porous media. Because the p-Laplace equation is the standard model for steady power-law flow, the A-capacity studied in [0] serves as an injectivity/conductivity-type figure of merit for a pore or grain geometry. The module takes the measured or once-simulated flow capacities of two reference microstructure geometries (e.g., two grain-size packs or graded-filter layouts) and returns certified lower bounds on the flow capacity of any Minkowski blend of them — mixed or graded packings — with no further nonlinear flow simulation. Engineers use it to pre-screen pack and flood designs for a guaranteed minimum injectivity before committing to full field-scale simulation.

Why now

Paper [0] establishes the Brunn–Minkowski inequality for the nonlinear A-capacity tied to a p-Laplace-type PDE: the capacity of any Minkowski blend of two convex sets is bounded below by the weighted combination of the individual capacities (each raised to 1/(n−p)). Paper [2] demonstrates that effective behavior of fluid-filled porous microstructures can be rigorously derived by averaging as pore size shrinks (homogenization). Together, these justify certified, closed-form flow-capacity floors for blended and averaged pack geometries — a cheap guarantee that was not available for nonlinear (power-law) flow before [0].

Written by GLM · 2 Oct 2026

AI assessment

Backed by 2 papers77

A highly specialized engineering tool that leverages a new mathematical inequality to provide guaranteed flow-capacity floors for non-Newtonian fluids, offering a significant speed-up for reservoir design screening.

Evidence strength
4/5
The idea directly applies the proven Brunn-Minkowski inequality for A-capacity from the full text of [2] to the physical problem of power-law fluid flow, supported by the homogenization theory in [1].
Market pull
3/5
While the target companies (SLB, Halliburton) have clear needs for polymer-flood optimization, the specific demand for a 'lower bound' screener versus a full simulation is a niche workflow requirement.
Novelty & moat
3/5
It is a domain-specific application of the same mathematical mechanism used in the 'Certified Capacitance-Floor Screener' (similarity 0.50), but it targets a distinct industrial physics problem (fluid injectivity vs. electrical capacitance).
Feasibility
5/5
The core value is a closed-form calculation based on two reference solves, making the MVP a simple calculator rather than a complex simulation engine.
Wedge clarity
4/5
The focus on 'injectivity screening' for polymer-flood designs provides a sharp, high-value entry point for reservoir engineers.
Simplicity / focus
5/5
The product is a single, focused screening module with one clear mathematical function and a specific output.

Scored by Gemma 4 · 8 Oct 2026. Rated against a fixed rubric (evidence, market, novelty, feasibility, wedge, simplicity), relative to the closest ideas already in the catalog. A prior estimate to compare ideas before real-world signal arrives.

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Who benefits

  • Its STARS simulator is a standard tool for polymer/chemical EOR; a certified injectivity-floor screening module is a natural pre-simulation add-on for its customers.

  • Provides EOR services and reservoir simulation; closed-form injectivity bounds would cut the cost of screening polymer-flood designs across rock and pack scenarios.

  • Same EOR evaluation need — cheap certified screening of non-Newtonian injection scenarios before expensive field-scale modeling.

  • Screens chemical and polymer EOR projects; guaranteed minimum injectivity for blended pack designs supports go/no-go decisions.

  • SNFcompany

    The world's largest polyacrylamide (EOR polymer) producer could use certified injectivity floors to position polymer grades by guaranteed flow performance in blended packs.

Research it builds on

  1. Transactions of the American Mathematical Society
    2026 · 1772 citations
    All ideas from this paper →
  2. Memoirs of the American Mathematical Society
    Akman, Murat, Gong, Jasun, Hineman, Jay et al. · 2026 · 662 citations
    All ideas from this paper →
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