| Title | Change in hydrocarbon composition in rock samples as a function of time: A thermodynamic evaporation model |
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| Author | Beti, D R; Panja, P; Jiang, C ; Milovic, M; Robinson, R; Ring, T A; Levey, R |
| Source | Journal of Natural Gas Science and Engineering vol. 77, 103238, 2020 p. 1-12, https://doi.org/10.1016/j.jngse.2020.103238 |
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| Year | 2020 |
| Alt Series | Natural Resources Canada, Contribution Series 20200017 |
| Publisher | Elsevier |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf; html |
| Subjects | fossil fuels; Economics and Industry; geochemistry; Science and Technology; analytical methods; pyrolysis; evaporation; thermodynamics; models; petroleum resources; hydrocarbons; organic geochemistry;
gas chromatography; Methodology |
| Illustrations | spectra; flow diagrams; plots; tables; phase diagrams; models |
| Program | Geoscience for New Energy Supply (GNES) Canadian Energy Geoscience Innovation Cluster (CEGIC) |
| Released | 2020 03 10 |
| Abstract | Recent pyrolysis analytical methods such as Shale Play (Romero-Sarmiento et al. 2016), HAWK-PAM (Maende et al., 2017) and Incremental S1 (Beti et al., 2018) enable improved understanding of the quantity
and quality of free petroleum present in rock samples. However, it is well established that the evaporation losses restrict the ability of an experiment to accurately quantify and qualify free petroleum in rock sample (Michael et al., 2013; Jiang et
al., 2016; Li et al. 2020). This article presents a thermodynamic model to explain the change in hydrocarbons composition of rock samples residing in a laboratory as a function of time. The model involves multicomponent residue curves and
vapor-liquid equilibrium calculations. The changes in hydrocarbon composition predicted using models were compared with experimental data obtained from thermal desorption-gas chromatography (TD-GC) analysis of rock samples. High correlation
coefficients are observed between predicted compositions and the experimental data inferring a good model fidelity. Relatively higher deviations were also observed between experimental data and predicted composition with time. The proposed model is
useful in complementing the experimental results and enhancing the fundamental understanding of hydrocarbon loss from rock samples. This model also has the potential to eliminate multiple experiments to estimate the compositions after hours of sample
collections. |
| Summary | (Plain Language Summary, not published)
To investigate the change in free hydrocarbon composition with time after sample preparation, compositional analysis of hydrocarbons that can be
thermally liberated from powdered rock (at 300 °C) was carried out on a Duvernay shale sample after different time duration of sample crushing in the lab. The obtained hydrocarbon compositional data were fed into and used to calibrate a mathematical
model based on the liquid-vapor phase exchange behavior of hydrocarbons. The mathematical model was then used to predict the hydrocarbon composition change in shale rock samples over time. The model has the potential to minimize lab experiments and
help us to understand the hydrocarbon loss from rock samples. |
| GEOSCAN ID | 326095 |
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