Methane Guiding Principles’ Post

You want to learn about the sources of methane emissions in the O&G industry? Join this free webinar organized by the Methane Guiding Principles on Thursday, April 30, 2024 at 14:00 CET. Registration link below.

While methane has a shorts lifetime than carbon dioxide, it is much more efficient at trapping radiation. Methane is responsible for about a third of the planetary warming we see today. The issue of methane was addressed during COP28 last year in Dubai. if interested to learn more about the top sources of methane emissions from the oil and gas industry attend the webinar organised by Energy Institute.

We're excited to be hosting the upcoming webinar for Methane Guiding Principles: “What are the main emissions? Insights from recent remote sensing studies into the top sources of methane emissions from the oil and gas industry”. Taking place on Thursday 30 April at 14:00 CET, this webinar features three industry-leading remote sensing experts who have been involved in recent studies: ◾ Daniel Cusworth, Project Scientist for Carbon Mapper ◾ Evan Sherwin, Research Scientist for Berkeley Lab ◾ Damon Burtt, Climate Change Consultant for Carbon Limits AS They will be sharing what the major sources are that they have witnessed, what was expected, and what was surprising. They will also discuss which methane emission sources represent the low-hanging fruit in the oil and gas industry. We hope that their learnings will help guide all participants in the methane community, including operators, technology vendors, consultants and academics globally on where to tackle emissions first. You can learn more and register for the event here: https://lnkd.in/eci_8Nwd #methaneemissions #oilandgas #energytransition

Methane Guiding Principles are excited to announce the latest in our live technical webinar series: “What are the main emissions? Insights from recent remote sensing remote sensing studies into the top sources of methane emissions from the oil and gas industry”.   This webinar takes place on Thursday, April 30, 2024 at 14:00 CET and is hosted by our member Energy Institute. The webinar features three industry leading remote sensing experts who have been involved in recent studies:   Dan Cusworth, Project Scientist for Carbon Mapper Evan Sherwin, Research Scientist for @Lawrence Berkelyy National Lab Damon Burt, Climate Change Consultant for Carbon Limits AS   They will be sharing what the major sources are that they have witnessed, what was expected, and what was surprising. They will also discuss which methane emission sources represent the low hanging fruit in the oil and gas industry.   We hope that their learnings will help guide all participants in the methane community, including operators, technology vendors, consultants and academics globally on where to tackle emissions first.    You can learn more and register for the event here: https://lnkd.in/dh2bNNvA

Measuring methane emissions is an important part of cutting emissions, but methane measurements range widely in their spatial and temporal resolution and level of detail. A funding opportunity through the DOE will make it possible for methane emissions detection leader ABB to design and build an Integrated Methane Monitoring Platform. DOE will provide 80% of the $1Mit will cost to create this platform that will enable aggregation, analysis, and visualization of emissions data from across the U.S. A system that provides rapid identification and characterization of methane emissions, both large and small, will enable industry professionals and policy makers to maximize the impact of mitigation efforts and set realistic targets for reduction. #OilandGas #MethaneEmissions #SealedWell #BigData #Energy

Very Interesting work! Researchers at National Renewable Energy Laboratory have developed a state-of-the-art generative machine learning model to simulate future energy and #climate impacts. Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts, or Sup3rCC, is an open-source, publicly available model that rapidly produces detailed data to support our national #energy systems integration and planning! "Energy system planners and operators need detailed, high-resolution data projected into the future to understand how climate change will impact wind and solar generation, electricity demand, and other weather-dependent energy variables. Available data shows that climate change will likely increase energy demand, but there are very few high-resolution resources to quantify these impacts." With Sup3rCC, we can better understand the effects of our changing climate and plan for the future—creating a more resilient grid with secure, #renewable energy. #climate #ML

Alternative energy began thousands of years ago via harnessing energy from the sun, the earth’s heat, waves, and radioactivity. Theoretical and experimental validation of alternative energy mechanisms, followed by the invention of alternative energy technologies, have shaped the modern market. Interested in learning more about the history of alternative energy? Read all about it here: https://lnkd.in/ez3SzEcz And visit Impactful Ninja for more climate action articles! #solarenergy #geothermalenergy #waveenergy #nuclearenergy

A groundbreaking National Renewable Energy Laboratory generative #MachineLearning model, Sup3rCC (affectionately pronounced super-c-c), helps analysts predict climate impacts on energy systems. The new open-source data model, generates high-resolution future #weather data to help analysts consider such impacts. Learn more about Sup3rCC and the need for high-resolution data to model future climate conditions.

The National Renewable Energy Laboratory (NREL) recently unveiled an open-source model called Sup3rCC that uses generative machine learning to produce state-of-the-art downscaled future climate data sets that can be used to understand the impacts of climate change on local wind and solar resources and energy demand. Check out the below article to read more about it! ⬇️   We love hearing about all the new climate-related innovations coming out and thinking about ways they can be applied in the insurance industry. The data from Sup3rCC will be extremely important as global economies scale renewable energy projects. The recent news also underscores the need for cross-sector collaboration to drive impactful climate resilience initiatives. #insuranceforclimate #riskresilience #climateinnovation #insuranceinnovation #insurance #insuranceindustry

Sup3rCC: An Open-Source Machine Learning Model that Simulates Future Climate Conditions and Their Impact on Renewable Energy Resources As countries shift towards renewable energy like wind and solar power, understanding how climate change will affect these energy sources becomes crucial. Climate change brings extreme weather events, making it hard for energy planners to predict fut... https://lnkd.in/eUrVDXRn #AI #ML #Automation