WebAPI_About_1

[soroushojagh]

In this issue, we will discuss the appropriate content for the first module of the WebAPI, About page (As a reference I called it About_1).

Please share your thoughts on that.

[tarcadius]

Hmmm I think this text should be changed. We probably want to have:

• who was involved
• who funded it
• what the goal was
• where to get more information

[soroushojagh]

Thanks @tarcadius, can you please add an explanation per each bullet point? so that I can think better about its design.

[soroushojagh]

@tarcadius: Can you please provide content per each bullet point? Thanks

[tarcadius]

Hi Soroush, sorry for the delay. How about something like this:

To reduce fugitive methane emissions from the oil and gas (O&G) industry, companies implement leak detection and repair (LDAR) programs across their asset base. Traditionally, regulators have specified the use of close-range methods such as the U.S. Environmental Protection Agency's (EPA) Method 21 or Optical Gas Imaging (OGI) cameras for component-level surveys in LDAR programs. These methods remain widely approved by regulators and are effective, however, they are also time consuming and labor intensive. New methane detection and measurement technologies that incorporate satellites, aircraft, drones, fixed sensors, and vehicle-based systems have emerged that promise to deliver faster and more cost-effective LDAR. Before applying these technologies and their work practices in LDAR programs, operators and regulators may wish to estimate anticipated emissions reductions and costs. Regulators sometimes require demonstration of equivalence – that the proposed alternative will achieve at least the same emissions reductions as incumbent regulatory methods. To support this process, the Leak Detection and Repair Simulator (LDAR-Sim) was developed at the University of Calgary to evaluate the emissions reduction potential of alternative LDAR programs.

The original unversioned precursor of LDAR-Sim was called "MOGI" and was built at the University of Calgary to evaluate the impact of real environmental conditions on the use of OGI cameras. Since then, LDAR-Sim has evolved through several iterations. The official first version of LDAR-Sim was developed by Thomas Fox, Mozhou Gao, Thomas Barchyn, and Chris Hugenholtz. Details on the original version of LDAR-Sim can be found in this peer-reviewed article. More recently, the model's functionality and accessibility has been expanded through the IM3S project, a collaboration among the University of Calgary and Highwood Emissions Management, with funding and direction from Petroleum Technology Alliance Canada, Alberta Innovates, Canadian Natural Resources, and Alberta Energy Regulatory.

To learn more about LDAR-Sim, please visit the Github page by clicking here.