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AI tech prioritises fugitive methane leak repairs to combat climate change

Published by
Oilfield Technology,


Ryan Strom, Director, Fugitive Emissions at Advisian Digital, shows how AI technology can enable operators to crack down on fugitive emissions.

Gas is considered a key weapon in tackling climate change as it is less carbon intensive than coal. In Asia, growing unease about air quality in post-industrial China has led to impressive deals for natural gas supply, while many developed countries have been turned onto it for a while. But the existence of fugitive methane emissions calls into question the greenhouse gas-reducing credentials of natural gas and its categorisation as a clean fuel.

Methane is the overlooked yet substantially more potent sibling of carbon dioxide. When unburnt, methane is tens of times more greenhouse gas intensive than when flared. While methane emissions occur naturally, one-third, often nicknamed “fugitive emissions”, are released by the production of oil and gas. Although not as prevalent as carbon in the atmosphere, methane’s potent effect means tackling fugitive emissions is just as necessary.

Awareness of fugitive methane emissions is growing, particularly in the natural gas supply-side value chain. If natural gas is to take its place as an alternative to coal in the fight against greenhouse gas emissions, then emissions1 of unburnt methane in the supply chain must be held to less than 1% of total production. Current US estimates range from a lower level estimate of 2% of overall production to around 17%.

Tackling fugitive methane emissions is a serious and growing concern.

Yet natural gas prices are at record lows – about US$3/million BTU – and the regulatory landscape around methane emissions is uncertain in some countries. In September 2018, the US Environmental Protection Agency announced plans to weaken the requirements on companies to monitor and repair methane leaks in a step to reduce “costly and burdensome rules”.2 Added together, these factors reduce the incentive to deploy exhaustive and expensive leak detection and repair solutions.

Traditional methods of detecting and measuring fugitive emissions are based on assessing gas concentrations, which is a qualitative and costly approach. If regulatory requirements for reducing emissions are lessened, the commercial incentive for tackling fugitive emissions has to be stronger. Industry needs low cost solutions that can quantify emissions efficiently, effectively and more safely, while allowing for the biggest leaks to be fixed first.

To help find a solution to the challenge, the Environmental Defense Fund and Stanford University’s Natural Gas Initiative recently invited 11 organisations, covering 12 different technologies, to the controlled testing phase of the Mobile Monitoring Challenge;3 a competition to advance mobile methane monitoring technologies at oil and natural gas facilities. The aim of the competition was to examine the effectiveness of both leak detection and quantification technologies. The emphasis was on identifying fast, low-cost, mobile technologies with the ability to quickly assess leaks while in motion and off-site.

A team from Advisian Digital took part in the competition to test its Fugitive Emissions Leak Detection and Repair Platform (FELDAR) - an infrared-sensor-equipped drone that collects image processing data, analysed by a mathematical engine, to accurately generate mass or volume leak rate data. This provides a quantifiable option for leak detection and monitoring and give operators the ability to prioritise leaks for repair and give more confidence in the reporting required for aggregated leaks.

In a sector where 80% of the emissions are caused by 20% of the leaks the ability to prioritise repairs accordingly is a step change in efficiency and safety for the gas supply chain. Operators stand to benefit from a significant reduction in total lifetime plant emissions, while also reducing the associated costs. FELDAR can also quantify greenhouse gas emissions to demonstrate the improvement to carbon footprint.

In addition, using unmanned drones is often safer, quicker, more accurate and causes less on-site interference than traditional methods. The web-based, fully automated and interoperable portal is accessible from anywhere and is built on an open data architecture – ensuring it will always work with other inputs, and stands ready to provide outputs to anyone/anything that requires them.

Once this technology becomes widespread, it's going to have a disruptive effect on future fugitive emissions surveying. It will also undoubtedly allow natural gas to reclaim its rightful position on the world stage as a clean-burning fuel ensuring its contribution to carbon emissions reduction for many years to come.

References

  1. 'WorleyParsons' climate change program' – https://www.worleyparsons.com/corporate-responsibility/our-contributions/climate-change
  2. 'Trump Administration Wants to Make It Easier to Release Methane Into Air' – https://www.nytimes.com/2018/09/10/climate/methane-emissions-epa.html
  3. 'Mobile Monitoring Challenge' – https://methane.stanford.edu/

Read the article online at: https://www.oilfieldtechnology.com/hse/24012019/ai-tech-prioritises-fugitive-methane-leak-repairs-to-combat-climate-change/

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