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Texas Oilfield Case Studies

Published by Marlan on

Case Study 1: Permian Basin Wireless Pressure Monitoring

  • Operator: Mid-sized E&P company
  • Challenge: High wiring costs for 50+ wellhead pressure sensors
  • Solution: Installed 4-20mA LoRa transmitters (another mfg, but results will be similar)
  • Results:
    • 85% reduction in installation costs (no trenching/conduit)
    • Deployed in 3 days (vs. 3 weeks for wired solution)
    • Real-time alerts for pressure drops (reduced downtime by 30%)

Case Study 2: Eagle Ford Shale Tank Level Monitoring

  • Operator: Large oilfield services provider
  • Challenge: Frequent cable failures in harsh environments
  • Solution: Switched to a LoRa based solution
  • Results:
    • Zero wiring failures in 2+ years
    • Battery life exceeded 5 years (no maintenance needed)
    • SCADA integration reduced manual checks by 90%

Case Study 3: West Texas Pipeline Leak Detection

  • Operator: Pipeline logistics company
  • Challenge: Slow response to leaks due to delayed wired sensor data
  • Solution: Installed LoRa based flow meters
  • Results:
    • Leak detection time reduced from 8 hours to 15 minutes
    • Saved $250K/year in spill remediation costs

3. How to Get Started

Step 1: Assess Your Current Sensors

  • Identify which 4-20mA devices can be replaced with LoRa.
  • Prioritize high-maintenance or hard-to-wire locations.

Step 2: Choose a Texas-Based Distributor

  • Look for suppliers with:
    • Local inventory (avoid 2-4 week lead times)
    • Oilfield experience (ask for references)
    • On-site support (for troubleshooting)

Step 3: Pilot Test in a Small Section

  • Deploy 5-10 LoRa sensors in a single well pad.
  • Validate range, battery life, and SCADA integration.

Step 4: Full-Scale Rollout

  • Scale across the entire field in phases.
  • Train field techs on wireless diagnostics.

Final Thoughts

Texas oilfields are ideal for LoRa wireless adoption due to their vast, remote nature. By working with a local stocking distributor, companies can cut costs, speed up installations, and simplify monitoring—without sacrificing reliability.


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