DiscoverEnergyTech PodcastUsing AI Tools to Identify PHMSA Pipeline Audit Risks - Ep 044
Using AI Tools to Identify PHMSA Pipeline Audit Risks - Ep 044

Using AI Tools to Identify PHMSA Pipeline Audit Risks - Ep 044

Update: 2025-10-29
Share

Description

In this episode, co-hosts Jeff Perry and Mike Flores are joined by Daniel Netto (VP of Compliance at Opsite Energy) to dive deep into how data & AI are being used to understand the pipeline regulatory audit landscape — using real audit data from the Texas Railroad Commission (RRC) and focusing on how these insights can drive better control-room operations, compliance and training.





You'll learn:


◽How RRC audit data is collected, structured and analyzed


◽What AI tools (GenSpark.ai, Amplify, VZero) are being used to scrape, parse and visualize audit findings.


◽Key trends from 2024-2025: procedure-based vs observation-based violations, alarm‐management top categories, controller-training deficiencies.


◽The role of mindset, accountability and documentation in successful control-room and pipeline-audit readiness.


◽How OpSite Energy applies these insights for clients, and how you can too








🔗 Links & Resources


OpSite Energy: https://www.opsiteenergy.com


GenSpark.ai: https://www.genspark.ai


Ampify: https://www.ampify.com


Texas RRC pipeline safety data: https://apps.rrc.texas.gov/portal/s/inspections


📬 For business/consulting inquiries: info@opsiteenergy.com





👍 If you found this episode valuable, please like, subscribe and ring the bell for future installments. Drop a comment below with your biggest takeaway or questions for our next episode.





0:00 Intro & Welcome


0:10 Episode overview and guest introduction


1:00 Background: Texas RRC & Pipeline Audit Framework


2:20 How state audit agencies work with federal rules (DOT/FEZA)


4:10 Demo: Raw audit data scraping via VZero


6:00 Using GenSpark & Ampify for data parsing and dashboarding


8:22 Key findings: 80+ inspection lines, 15 operators, ~10 distinct violation types


9:20 Breakdown: 73% procedure-based + 27% observation‐based


10:00 Defining “procedure”, “observation” and “records” violations


11:19 2024 data deep dive: eight operators cited, peak month May


13:11 Preparing for an audit: strategy, records, controller interview


14:38 2025 data update: more violations, new categories (emergency procedures, leak detection)


17:03 Sentiment analysis from executive closing letters


18:10 Doubling of violations 2024→2025; documentation & training gaps


20:05 Audit readiness: know your plan, engage operations people, accountability


22:13 Procedural rollout: controllers must follow the plan and screen actions


25:22 The role of AI in drafting procedures — caution & review required


30:32 Opsite’s offer: how we help you, reach-out & next steps


31:56 Outro & plug for CRM series





Uygar Duzgun “Fast Life” courtesy of www.epidemicsound.com

Comments 
loading
In Channel
loading
00:00
00:00
1.0x

0.5x

0.8x

1.0x

1.25x

1.5x

2.0x

3.0x

Sleep Timer

Off

End of Episode

5 Minutes

10 Minutes

15 Minutes

30 Minutes

45 Minutes

60 Minutes

120 Minutes

Using AI Tools to Identify PHMSA Pipeline Audit Risks - Ep 044

Using AI Tools to Identify PHMSA Pipeline Audit Risks - Ep 044

Opsite Energy