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C0 A9225 LR

Identify leaking equipment, reduce VOC emissions and report credible emission figures

LDAR or more specifically Leak Detection and Quantification (LDAR) is a program that identifies unintended or fugitive emissions from equipment in an oil and gas, chemical or petrochemical installation. It drives maintenance activities to reduce emissions to the atmosphere effectively.

Every potential leaking source is examined with a sniffing device PID or FID and the quantification of the emissions is following the EPA Method 21 protocol or a similar country-specific or customer-specific regulation.

We successfully executed more than 9.000 LDAR projects globally and have 30 years of experience in the industry. Rely on expert LDAR measurements and advisory so you can minimize product loss and save costs.

Case Studies

Regulations, standards, and protocols we comply with

  • OGCI – Oil & Gas Climate Initiative
  • EPA-453-R95-017
  • NEN-EN 15446
  • VLAREL 11.1 and VLAREL 11.3
  • NTA8399:2015
  • MilieuMonitor 14 and 15
  • NL Activiteitenbesluit / ZZS regulations
  • Chemelot
  • 40 CFR Part 60, Subpart OOOOa
  • AER Directive 060
  • Saudi Aramco Protocol
  • ADNOC Gas Processing Guidelines [Ref: HSE-GU-025 (rev 1); Dec 2018]
  • RCER
  • Shem-13.06
  • QP procedure for implementation of methane leak detection and repair (LDAR) program
  • ISPRA
  • Clean Air Law 5768 – 2008
  • OGMP 2.0 – Oil and Gas Methane Partnership
  • Proposal for a EU Regulation on methane emissions reduction in the energy sector

Identify, quantify and reduce

Correct identifications and quantifications allow effective priority setting for repair maintenance activities and focus on bad actors.

Comply with legislation

Demonstrate compliance to local legislation permission requirements related to maximum emissions and reduction targets and manage your reputation.

Report in a reliable way

Rely on a credible, auditable and transparent report with aggregated and detailed emission figures per medium; per source type, per stream and so on.