RCP Inc.

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In This Issue

  1. Pipeline Pressure Testing Workshop: August 26 &27
  2. PHMSA Notice & Request for Revisions to National Pipeline Mapping System
  3. Natural Gas Act Pipeline Maps
  4. GIS Services
  5. PHMSA Public Awareness Information Collection Notice
  6. Louisiana Modifications to One Call Enforcement
  7. Missouri Updates Damage Prevention Law
  8. Pressure Test Certification
  9. Fall Conference Schedule
  10. TRRC Gathering Workshop – August 27 Tyler, Texas
  11. PHMSA Public Webinar on Implementation of Gas DIMP – September 4
  12. Damage Prevention Online Workshop – FREE September 24, 2014
  13. Send us your tired, your poor, your huddled masses of Pipeline Samples, yearning to breathe free.

Fall Conference Schedule

Have you registered and confirmed your reservations for these upcoming conferences? RCP will be attending. We hope to see you there!

Western Regional Gas Conference (WRGC)
August 19 – 20, 2014
Tempe Mission Palms Hotel
60 E. Fifth Street; Tempe, AZ

Arkansas Gas Association Annual Conference
September 14 -16, 2014
Fayetteville, Arkansas

International Pipeline Conference & Exposition (IPC /IPE)
September 29 – October 3, 2014
Calgary, AB, Canada

RCP will be exhibiting in Booth #531 at the Expo. And, don’t miss this opportunity to meet RCP’s President, Bill Byrd, and attend his presentation on “Site-Specific Quantitative Pipeline Risk Analysis using Monte Carlo Methods” (Track 12). The paper was co-authored by Matthew Wylie, Chief Information Officer and General Counsel at RCP Inc. This paper will compare a site specific quantitative risk analysis using traditional “average” risk ranking methods to a more complex Monte Carlo analysis which uses a range of possibilities and consequences for each threat – each with their own probability. The comparison is based on the California “Guidance Protocol for School Site Pipeline Risk Analysis,” a quantitative risk analysis protocol which uses average probability and consequence values, and will extend it to explain how a more complex Monte Carlo analysis of those same risk factors can give a more comprehensive understanding of anticipated risks and consequences.