Optimization of Physical Plants and Chemical Processes
KeyLogic supports the optimization of our national energy infrastructure through advanced machine and deep learning models.
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Systems Research & Analysis
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
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
“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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Top Environmental & Energy Policy Challenges for 2021 And Beyond
In this free whitepaper, we cover Federal and state energy and environmental policies that have the potential to significantly reshape the energy landscape from the local level up to the global level this year.
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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
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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CO2 Infrastructure Model
OnLocation developed and continues to enhance the Capture, Transport, Utilization, and Storage (CTUS) submodule within NEMS. The CTUS model optimizes potential networks of CO2 pipelines and storage infrastructure linked to potential generation and industrial CO2 capture sources. The module provides cost estimates of CO2 transport and storage to the other modules of NEMS as well as
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