Systems Research and Analysis

Data Visualization for the USAF

In two weeks, KeyLogic created an interactive Big Data dashboard for the USAF that displays when satellites can see ships at sea. The exercise was to take raw satellite and vessel location data and discover when each satellite could see each ship (“hits”). As part of this exercise, we were also asked to find any “holes” in […]

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Deep Experience in Large Scale Data Management

KeyLogic leaders have served on the US National Academy of Sciences Board of Research Data and Information and have been the Secretary General of CODATA (Committee on Data) under the International Science Council. We have supported two US White House Interagency Working Groups in Informatics and Digital Data. KeyLogic data policy experts pay particular attention to data

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Data Science for an Improved Carbon-Capture Process

KeyLogic develops process simulation flowsheets and applies data science tools, such as uncertainty quantification, design of experiments, and ML, to help design better carbon-capture processes. Our work reduces the time and cost to maximize learning from experiments in pilot plants. In addition, we support the modeling and analysis of low viscosity, water-lean solvents with polarity swing regeneration that

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Carbon Capture Simulation for Industry Impact

KeyLogic data scientists and subject matter experts support the analysis and optimization of carbon capture technologies. We work with national laboratories, industry, and academic institutions to apply cutting-edge computational modeling and simulation tools to accelerate the commercialization of carbon capture technologies from discovery to development, demonstration, and ultimately the widespread deployment to hundreds of power plants. 

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IRS Application of KeyDetect

KeyLogic helped IRS staff members move from performing one-by-one analyses of individual database records to letting advanced data-mining tools do much of the work. As part of the Offshore Compliance Initiative, the agency’s investigators provided the forensic expertise, while our experienced professionals developed algorithms to automate and accelerate lead identification.  Results Increased Mission Effectiveness. Our work

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Published paper in Journal of Natural Gas Science and Engineering on evaluation of production drivers in the Marcellus Shale using machine learning approaches

Artificial intelligence and machine learning (ML) are being applied to many oil and gas (O&G) applications and seen as novel techniques that may facilitate efficiency gains in exploration and production operations. Significant improvements in that regard are likely to occur when ML can be applied to evaluate O&G challenges with inherent synergies that may have

Published paper in Journal of Natural Gas Science and Engineering on evaluation of production drivers in the Marcellus Shale using machine learning approaches Read More »

News release by DOE’s Loan Program office featuring report compiled by KeyLogic and partners on evaluating the potential environmental impacts and compliance best practices for carbon capture and storage

The Loan Programs Office (LPO) takes its role in protecting taxpayer interests very seriously, including evaluating the potential impacts of projects in accordance with the National Environmental Policy Act (NEPA).  Given the growth of interest in the carbon capture utilization & sequestration (CCUS) sector, LPO’s Environmental Compliance Division prepared a report as a reference for

News release by DOE’s Loan Program office featuring report compiled by KeyLogic and partners on evaluating the potential environmental impacts and compliance best practices for carbon capture and storage Read More »

“Featured paper” published in Energies Special Issue on Alternative Energy Policy

This paper evaluates how changes in economic market and policy conditions, including the establishment of a per-unit tax on unabated emissions of carbon dioxide (CO2) set equal to estimates of the social cost of carbon (SCC), influence the economics of carbon capture and storage (CCS) for two hypothetical power generation facilities located in the United

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