Case study: CPUC vs PG&E

P.G & E Sign

In January 2020 the California Public Utilities Commission (CPUC) ordered PG&E to pay $110 million for violations related to the utility’s locate-and-mark program.

California utilities are required by law to identify and mark underground infrastructure at proposed excavation sites, to prevent third-party diggers from accidentally hitting a gas pipeline or powerline.

In December 2018, the CPUC launched an investigation into PG&E’s locate-and-mark protocols after the CPUC safety division found PG&E employees had undercounted thousands of “late tickets” — instances in which a site was not marked within two working days or an agreed upon deadline — due to falsified records. In total, investigators found more than 135,000 potentially inaccurate records, estimated to have contributed to 67 “dig-ins”, where a third-party struck underground infrastructure.

PG&E would have to pay $110 million in penalties, $66 million of which would fund system enhancements and $44 million to the state’s general fund.

For the full article click here

Like this article? Share it.

Recent blog posts

Go to Blog

4M Utility Strategy Podcast Episode 6: Geoff Zeiss

Geoff Zeiss on the state of utility locating and the future of utility mapping around the world

Team 4M
January 13, 2022
Read more
Podcast Episode 5: Gary Huffman

4M Utility Strategy Podcast Episode 5: Gary Huffman

Gary Huffman on how utilities can serve customers smarter, cheaper, and more reliably

Team 4M
December 14, 2021
Read more
Podcast Episode 2: Steaphan MacAulay

4M Utility Strategy Podcast Episode 2: Steaphan MacAulay

We talk surveying and advanced technology with Steaphan MacAulay on our second episode

Team 4M
December 5, 2021
Read more
Think we can help you?

Let's talk

and see how we can shine some light on your utility strategy.

Company

About Us

Team

Key Benefits

Data Partnership Manager
Office Admin
Data Engineering Team Lead
Brand Marketing Designer
Full Stack Team Lead
Data Engineer
Geodata Analyst
Geo Analyst
Remote Sensing Researcher
Business Analyst
Backend Tech Lead
Senior DevOps Engineer
Product Manager
Computer Vision Deep Learning Expert
USA Account Executive