Oilfield Coiled Tubing Data app icon

Apps Like Oilfield Coiled Tubing Data for iPhone and iPad

Access and operations info

Provides operation information for engineers. Users can access API-based for operational parameters. The includes quick calculation tools for safe operation time. Features allow viewing specifications and operational guidelines.

by zhandos uakanov★ 4.01 ratingsReference$0.99Data updated 2026-09-09

Oilfield Coiled Tubing Data screenshots

Ranked alternatives

Showing 561–580 of 1,000 ranked alternatives.

  1. PCES app icon

    PCES

    Stephen Samuel

    ★ 0.00 ratingsBusinessFreeData updated 2026-09-06
  1. FieldScout GreenIndex+ app icon

    FieldScout GreenIndex+

    Spectrum Technologies, Inc.

    Measure plant chlorophyll content and nitrogen.

    The app determines the Dark Green Color Index (DGCI) of plant leaves, which relates to chlorophyll content. It computes nitrogen application recommendations based on university research when using high-Nitrogen reference strips.

    ★ 0.00 ratingsBusiness$99.99Data updated 2026-10-06
  2. PBT-CS app icon

    PBT-CS

    Natthakorn Tongpian

    ★ 0.00 ratingsBusinessFreeData updated 2026-09-06
  3. iNSIGHT Feature Analysis app icon

    iNSIGHT Feature Analysis

    Polyhedron Learning Media, Inc.

    Visual processing speed in experiments.

    This app measures cognitive operation speed using a reaction-time procedure and visual search task. It demonstrates visual feature processing, distinguishing between serial and parallel pathways.

    ★ 0.00 ratingsEducation$2.99Data updated 2026-10-10
  4. Log Calculator app icon

    Log Calculator

    Anthony Meuse

    Calculate logs using New Brunswick, Ontario,

    Calculate log board feet using New Brunswick, Ontario, and Doyle scales. Enter multiple diameters quickly with undo. Automatically compute board feet and apply price per 1000 board feet. Save calculations with custom notes.

    ★ 0.00 ratingsBusiness$1.99Data updated 2026-09-25

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.