Publication Archives - KeyLogic

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

Harry McKinney — Thu, 26 Aug 2021 04:37:29 +0000

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 otherwise not been evaluated concurrently. This study introduces an ensembled framework that couples a data-driven ML predictive model capable estimating a productivity indicator for unconventional O&G horizontal wells that correlates to estimated ultimate recovery (EUR) with a well design optimization approach that maximizes productivity.

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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

Harry McKinney — Thu, 26 Aug 2021 04:35:29 +0000

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 future applicants, to assist LPO in its review of CO2 injection and storage projects, and to inform the public. The report documents that the CO2 injection and storage process is broadly regarded as a safe endeavor if it is properly managed.

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

Harry McKinney — Thu, 26 Aug 2021 04:28:16 +0000

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 States. Changes in economic market and policy conditions are evaluated over a series of scenarios in which differences in the levelized cost of electricity (LCOE) provide estimates of the financial gap necessary to overcome for CCS to be considered the cost-minimizing choice for each power generation facility type considered.

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Top Environmental & Energy Policy Challenges for 2021 And Beyond

Harry McKinney — Wed, 25 Aug 2021 21:30:45 +0000

In this free white paper, 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. These policies will likely be driven by a number of factors, including:

Initiatives to combat climate change and its impacts
The need to provide cleaner, more affordable, and more reliable electricity
Public interest in renewable energy and other clean sources of energy
Concerns about electric grid reliability in areas of high deployment of variable renewable generation
Environmental impacts of conventional gasoline and diesel vehicles on local air quality

Download the whitepaper at: https://www.onlocationinc.com/top-environmental-energy-policy-challenges-for-2020-and-beyond

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

Harry McKinney — Wed, 25 Aug 2021 17:03:07 +0000

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 in data collection methods, data collection time frames, and system boundaries. This analysis focuses on system boundary inconsistencies. Our results show that the calculated CH₄ emission rate can increase nearly fourfold not by changing the magnitude of any particular emission source, but by merely changing the portions of the supply chain that are included within the system boundary.

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