Systems Research & Analysis

Nuclear power plant

What Would It Take? Pathways to 400 GW of U.S. Nuclear Capacity

The U.S. energy landscape stands at a pivotal crossroads. After two decades of flat electricity demand, a surge in demand driven by artificial intelligence and data centers is reshaping what the grid needs to deliver and how fast it needs to deliver it. A new analysis from KeyLogic’s OnLocation division analyzes what it might take for the […]

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Liquid natural gas pipes covered in snow

Shaping the Future of U.S. Natural Gas Exports

In an era defined by shifting energy priorities and global market dynamics, understanding the long-term impacts of liquefied natural gas (LNG) exports is more important than ever. The U.S. Department of Energy’s (DOE) LNG Export Study & Response to Comments (officially “Energy, Economic, and Environmental Assessment of U.S. LNG Exports”[1]) provides critical insights into how

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Unlocking Insight and Innovation: Systems Research & Analysis Powered by KeyLogic

In today’s high-paced, data-driven world, organizational success hinges on the ability to transform information into insight—and insight into action. KeyLogic’s Systems Research & Analysis (SR&A) solutions empower decision-makers with the clarity and confidence needed to navigate modern, complex challenges and achieve measurable impact.  What Is Systems Research & Analysis?  Systems Research & Analysis (SR&A) is

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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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Using Common Boundaries to Assess Methane Emissions: A Life Cycle Evaluation of Natural Gas and Coal Power Systems

There is consensus on the importance of upstream methane (CH4) emissions to the life cycle greenhouse gas (GHG) footprint of natural gas systems, but inconsistencies among recent studies explain why some researchers calculate a CH4 emission rate of less than 1% whereas others calculate a CH4 emission rate as high as 10%. These inconsistencies arise from differences

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Designing an Integrated Energy Modeling Platform

OnLocation Inc (a KeyLogic company) successfully designed an Integrated Energy Modeling Platform for a global petroleum and gas company.   The integrated energy modeling platform will bring 12 (twelve!) disparate models together and act as a comprehensive simulation tool to run scenarios and identify risks and opportunities. Corporate planners will be able to study energy supply, demand,

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