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TitleModel-assisted Rock-Eval data interpretation for source rock evaluation: examples from producing and potential shale gas resource plays
AuthorChen, Z; Jiang, C; Lavoie, D; Reyes, J
SourceInternational Journal of Coal Geology vol. 165, 2016 p. 290-302, https://doi.org/10.1016/j.coal.2016.08.026
Year2016
Alt SeriesEarth Sciences Sector, Contribution Series 20160129
PublisherElsevier
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf
ProvinceAlberta; British Columbia
NTS83L; 83K; 83M; 83N
Lat/Long WENS-120.0000 -115.0000 56.0000 54.0000
Subjectskerogen geochemistry; pyrolysis; thermal analyses; hydrocarbon generation; source rocks; shales; oil shales; S2-TOC plot; Duvernay Shale; Rock-Eval data interpretation; thermal maturity; generation capacity
Illustrationsgraphs; plots; tables; formulae; photomicrographs
ProgramShale-hosted petroleum ressource assesment, Geoscience for New Energy Supply (GNES)
AbstractRock-Eval pyrolysis has been widely accepted by the petroleum industry as a useful technique for a quick, easy and cost effective source rock evaluation. However, there are misconceptions and misuse of some of the existing Rock-Eval parameters due to implicit underlying assumptions or poor understanding of the limitations, which could lead to erroneous conclusions. Data interpretation from a perspective of hydrocarbon generation kinetics may facilitate better interpretation of the hydrocarbon generation capacity of a source rock from its thermal stability and transformational behaviors. We present a model-assisted approach for data interpretation, from which data scatters can be viewed not only for the remaining petroleum generation potential of individual samples, but also for data specific thermal decomposition path as a whole to verify whether the data come from a single kerogen population with similar kinetics and associated generation potentials. Moreover, we propose a concept of dimensionless TOC and S2 variables that effectively removes the thermal maturity overprint in the traditional TOC vs. S2 plot used for the determination of the kerogen type. The dimensionless variables are defined by rescaling the parameters against their original values before thermal decomposition. On a dimensionless plot, data points from the same genetic population of source rocks align on a single line regardless of their thermal maturation levels. This article demonstrates the methods and the proposed approaches for studying oil generation kinetics and resource potential using traditional Rock-Eval data through examples from selected producing and potential shale gas plays in Canadian sedimentary basins and elsewhere.
Summary(Plain Language Summary, not published)
There are misconceptions and misuse of some of the existing Rock-Eval data interpretation methods due to poor understanding of the limitations. We present a model-assisted approach to overcome some of the common misconceptions in data interpretation. Moreover, we propose a concept of dimensionless TOC and S2 variables that can remove the thermal maturity overprint in the traditional TOC vs. S2 plot for the determination of the kerogen type. This article demonstrates the methods and the proposed approaches for studying oil generation kinetics and resource potential using traditional Rock-Eval data through examples from selected producing and potential shale gas plays in Canadian sedimentary basins and elsewhere.
GEOSCAN ID299070