Connecting Liquid Pipelines US/Canada
Sharing Industry Market Insights
Fall 2025 LPR Conference details coming soon
Dedicated to Pipeline Industry Growth
The Liquid Pipeline Roundtable brings together upstream, midstream, and downstream companies to foster collaboration through shared compensation data. Our aim is to facilitate knowledge exchange and drive informed decisions in the liquid pipeline market. Join us to be part of a network dedicated to continuous improvement and staying on the cutting edge of industry developments.
Benefits Our Members Enjoy
Liquid Pipeline Market Data Insights
Compensation Survey
Collaborative Platform
The LPR facilitates a compensation survey of the member-companies annually, which is managed by a third-party company (currently Willis Towers Watson). This industry specific survey allows participants to compare their compensation practices and wage rates with many of their peers (over 40 companies participated in the most recent survey). This survey covers a broad spectrum of mid-stream oil and gas jobs, including exempt and non-exempt positions, giving companies the data they need to make informed compensation decisions based on the market to ensure they are remaining competitive with attracting and retaining top talent.
Networking Events
Industry Connections
Our members attend an annual in-person Liquid Pipeline Roundtable Conference. Hosting responsibilities are rotated annually through our membership giving members a unique location each year to learn about the host company and its operations and enjoy a unique location and its amenities.
Ongoing Pulse Survey & Answers
Knowledge Enhancement
LPR members have the ability to conduct pulse surveys via email throughout the year
for new questions that arise between Annual Conferences. The member that asks the
question(s) collects the responses, compiles the data, and sends the answers out to the rest of the LPR members.
The ability to quickly solicit and receive information from peer companies allow members to make higher quality business decisions based on data.