717 research outputs found

    Parallelized multi-degrees-of-freedom cell mapping method

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    Long-term global analysis of lower-dimensional systems can be performed by in a computationally efficient manner by using cell mapping methods. Scaling limitations associated with higher order systems can be addressed by using the multiple degree-of-freedom cell mapping (MDCM) method. However, the MDCM algorithm consists of a number of sequential operations which limits its ability to utilize the parallel processing capabilities of modern computers. A parallelized multiple degree-of-freedom cell mapping (PMDCM) method is introduced here to address this limitation. By restructuring the MDCM algorithm to enable parallel operations, the efficiency of the algorithm is significantly enhanced. The details of the PMDCM algorithm are presented and performance is compared to the MDCM method and baseline obtained by using the grid-of-starts method. By running the PMDCM method on a workstation with a quad-core processor and by parallelizing 100 numerical integration operations, the total computation time is decreased by 93% from the time required of the MDCM method. Parallelizing the integration operations also reduces the error which can accumulate when by using the sequential operations of the MDCM method

    Shale Investment Dashboard in Ohio

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    This report presents findings from an investigation into shale-related investment in Ohio from researchers at Cleveland State and Youngstown State Universities. The investment estimates are cumulative from 2011 through the summer of 2016. Subsequent reports will estimate additional investment since the date of this report. The investigation was made into upstream, midstream and downstream investments. The downturn in oil and gas prices in late 2014 that continued through 2016 has constrained upstream investment in Ohio, as drilling slowed. However low hydrocarbon prices have increased a nationwide appetite for natural gas and natural gas liquids. This has led to a continuation of midstream and downstream investment. Since operating companies do not generally make investments publicly available, upstream investments were estimated by using approximations for typical expenditures on wells that are drilled in the Utica. Information for typical investments were obtained through a combination of industry interviews and publicly available data

    Shale Investment Dashboard in Ohio Q3 and Q4 2016

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    This report presents findings from an investigation into shale-related investment in Ohio. The investment estimates are cumulative from July through December of 2016. Prior investments have previously been reported and are available from Cleveland State University. Subsequent reports will estimate additional investment since the date of this report

    Shale Investment Dashboard in Ohio Q1 and Q2 2017

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    This report presents findings from an investigation into shale-related investment in Ohio. The investment estimates are cumulative from January through June of 2017. Prior investments have previously been reported and are available from Cleveland State University. Subsequent reports will estimate additional investment since the date of this report
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