Scepter, Inc. uses big data to reduce methane emissions (AES301)

Here is a detailed summary of the video transcription in markdown format, broken down into sections:

Monitoring the Atmosphere: Advancements in Big Data, Data Analytics, and the New Space Economy

Overview

  • The presentation covers advances in big data, data analytics, cloud computing, and the new space economy that have enabled monitoring of the atmosphere on a global and real-time basis.
  • The goal is to make the "invisible visible" - detecting and quantifying various elements, gases, and particulate matter in the atmosphere that are of interest to commercial markets and governments.

Use Cases for Atmospheric Monitoring

  • Nitrogen dioxide (NO2) has been linked to depression, affecting around 21 million people annually.
  • Particulate matter (PM 2.5) and ground-level ozone can substantially inhibit agricultural production and crop health, potentially causing $5 billion in global economic harm with a 1% increase.
  • Methane and carbon dioxide are contributors to global warming, and there is a need for a global, real-time platform to detect and mitigate methane leaks.

Scepter's Methane Detection Capabilities

  • Scepter has developed a five-step process to detect, quantify, inform, fix, and certify methane leaks in collaboration with ExxonMobil.
  • This involves using a multi-sensor, multi-domain approach to monitor the air column, from terrestrial sensors to aerial and stratospheric platforms.
  • Scepter utilizes free sensors, as well as their own customized hyperspectral sensors, to address limitations in coverage, timing, and detection thresholds.
  • The platform is designed to provide real-time, low-latency detection and quantification of methane leaks, with the ability to geolocate and attribute the leaks to specific facilities.

Technical Approach

  • Scepter's platform ingests data from various sources, including satellites, high-altitude pseudo-satellites (HAPS), and IoT sensors, using AWS services for scalability and security.
  • The data is processed and fused, leveraging AI and edge computing to minimize latency, allowing for rapid detection and quantification of methane leaks.
  • Scepter has also developed a stratospheric platform with a hyperspectral sensor to improve detection and capture the intermittency of methane leaks.
  • The platform is designed to scale globally, with a satellite constellation in development to provide more frequent revisits and enable B2B-to-C market applications.

Expanding Beyond Methane

  • Scepter's platform has the potential to address a wide range of use cases, such as in the beauty and cosmetics industry, where real-time atmospheric data could be used to assess the effects of pollution on skin health.
  • The insurance industry is also exploring the use of dynamic risk allocation and evaluation, where Scepter's data could help insurers respond to events like volcanic eruptions, wind storms, and floods.

Collaboration with AWS

  • Scepter has benefited from its partnership with AWS, leveraging services like IoT, AI, and edge computing to enhance the capabilities of its fusion platform.
  • The collaboration has also helped Scepter address security and low-latency requirements, which are critical for its methane detection use case.

ExxonMobil's Perspective as a Customer

  • ExxonMobil is focused on reducing methane emissions from its operations, with a goal of net-zero emissions by 2030 in certain basins.
  • The company requires a combination of various sensors, from satellites to continuous monitors and drones, to accurately detect and quantify methane leaks across its global assets.
  • ExxonMobil sees Scepter's data fusion platform as a way to streamline its methane emissions monitoring and mitigation workflow, providing fast, actionable alerts to field personnel.

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