LOW CARBON SOLUTIONS
LOW CARBON SOLUTIONS
Katalyst Data Management is the leading technology provider for managing data across the lifetime of low carbon energy and resource projects. We currently manage, store, and deliver the data required to evaluate and monitor reservoirs for energy and carbon storage.
How Can We Lower your Carbon Footprint?
Like our clients, KDM looks for data driven solutions that follow industry guidelines and standards. We are aware that data ingestion and storage has a carbon footprint that can be measured and monitored. Talk to our consulting professionals about how we can help lower the carbon footprint of your digital data operations by leveraging data center location, data availability zones, and efficient movement of data to put it closer to compute resources:
Distribution and status of CCUS projects displayed in iGlass with location of KDM digital transformation offices.
How Can We Manage the Data for Your Low Carbon Project?
The energy industry is rapidly moving toward geologic carbon storage, and KDM provides thought leadership and execution of end-to-end workflows for managing the large volumes of data generated by continuous monitoring of CO2 plumes in the subsurface.
Our Clients & Low Carbon
If you are an energy industry organization, you are already seeing a growth in data volumes from supporting traditional energy projects. Low-carbon and decarbonization projects add another layer of big data to your volumes. With our global footprint and subject matter expertise around digital data transformation, Katalyst is ideally positioned to be your trusted advisor as you develop best practices for managing that data.
Understanding how KDM expertise relates to low-carbon projects, and why we focus on carbon storge, geothermal, and hydrogen.
The way in which you make data supporting low-carbon initiatives Findable, Accessible, Interoperable, and Reusable will have a measurable return on investment. If you can reduce the amount of time that your geotechnical team members spend searching or waiting for data from months to weeks, weeks to days, or days to minutes, you can demonstrate a positive return on your investment in data management in as little as 6 months. Katalyst has experience building that business case for you.
Subsurface Data is critical to Low Energy Projects:
Digital data, effectively managed and delivered:
This means using and extracting information from large volume data sets.
Are you worried about the large volume of data that is going to be generated by fiber optic sensing on your next geothermal, CO2 injection, or hydrogen exploration well?
With the ability to serve as a densely sampled downhole acoustic array or a continuous passive seismic recorder, and capacity to switch on demand to recording temperature or strain data, fiber optics has the potential to generate as much as 10 terabytes of digital data per day, per well, per fiber:
Potential growth of distributed acoustic sensor data from a carbon storage project, approaching a petabyte per year from a single well.
Now is the time to talk to Katalyst about industry best practices for transmitting, managing and delivering that data to end users. We offer the industry’s only end-to-end data management solution for large volume Distributed Acoustic Sensor data, supporting real-time, continuous seismic monitoring of geologic carbon capture and storage sites and other subsurface low-carbon solutions.
We provide state of the art data management that combines edge-processing, intelligent tiered storage, automated metadata extraction, standardized categorization and indexing to ensure that your valuable real time monitoring data is findable and accessible for sharing with partners and submission to government agencies with an auditable workflow. Our industry standard output formats make the same data interoperable with your best-of-class interpretation and analysis application(s). And our fully searchable links to machine readable support data provide reuse as data technologies such as Generative algorithms, Large language models, Augmented intelligence, and Machine learning (GLAM) evolve to provide insights and knowledge from your legacy data.
And now we have collaborated with our business partner Iron Mountain to provide an AI enabled query tool using an agent with contextual intelligence that provides written language answers to your business context questions about the content of your digital data. Ask us today about how we use a Large Language Model, Retrieval Augmented Generation architecture, maintained metadata, and knowledge graphs to provide this next-level capability against your curated, standardized and indexed data set.
