USE OF CORRELATION-REGRESSION ANALYSIS FOR ESTIMATION OF PROSPECTS OF NATURAL GAS EXTRACTION OF SHALE ROCKS

Olga Lebega and Yaroslav Vytvitsky
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Olga Lebega: Ivano-Frankivsk National Technical University of Oil and Gas
Yaroslav Vytvitsky: Ivano-Frankivsk National Technical University of Oil and Gas

EUREKA: Social and Humanities, 2017, issue 4, 37-43

Abstract:

Тhe article uses a correlation-regression analysis to further use the obtained correlation dependencies to assess the prospects for the extraction of natural gas from slate rocks in any region of the world. The statistical data on which correlation dependencies are derived are collected by analyzing information on the experience of shale gas extraction in countries such as the United States Marcellus, Haynesville, Barnett, Fayetteville, Woodford, Antrim, New Albany, Canada, Montenegro, Horn River) , China - playground Fuling and Argentina - the playground Vaca Muerta. Characteristics of shale formations are investigated for each of these deposits: gas content, depth intervals of shale rock formation, effective thickness, porosity, penetrability, organic matter content, catagenesis, wells productivity.

Keywords: natural gas from slate rocks; resources; characteristics of shale formations; correlation-regressive dependencies; estimation of productivity of gas wells in slate formations (search for similar items in EconPapers)
Date: 2017-07-31
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Persistent link: https://EconPapers.repec.org/RePEc:nos:social:y:2017:i:4:p:37-43

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