Analyzing the impact of reaction models on the production of hydrocarbons from thermally upgraded oil shales
Abstract
Reaction parameters significantly affect oil production from shales by means of heating and in-situ upgrading. In this work, we perform numerical simulations of two chemical reaction models, which are mainly used in the research of kerogen pyrolysis and subsequent hydrocarbon decomposition in organic-rich porous media. They are the Braun and Burnham model and Wellington model. In these forward numerical simulations, we present the influence of the two reaction models on hydrocarbon production. The Braun and Burnham reaction model shows more vigorous kerogen and subsequent decomposition reactions and more hydrocarbon production than the Wellington model. A local sensitivity analysis identifies the reaction parameters with the highest influence on productivity, and the most sensitive outputs. A data-worth analysis identifies the most valuable observation data to be measured for the best prediction of total hydrocarbon production. We find that the most valuable observation data is the cumulative production of heavy oil in the Braun and Burnham model and of light oil in the Wellington model, respectively. Finally, once we determine the maximum allowable prediction uncertainty and the expected measurement uncertainty, the observation data to be measured for the minimization of prediction uncertainty can be obtained.
- Authors:
-
- University of Houston, TX (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Finsterle GeoConsulting, Kensington, CA (United States)
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Texas A & M University, College Station, TX (United States)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE); Texas A&M University; USDOE Office of Fossil Energy (FE)
- OSTI Identifier:
- 1479440
- Alternate Identifier(s):
- OSTI ID: 1564359
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Petroleum Science and Engineering
- Additional Journal Information:
- Journal Volume: 168; Journal Issue: C; Journal ID: ISSN 0920-4105
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 04 OIL SHALES AND TAR SANDS; In-situ upgrading; oil shale; numerical simulation; sensitivity analysis; uncertainty prediction; data-worth analysis
Citation Formats
Lee, Kyung Jae, Finsterle, Stefan, and Moridis, George J. Analyzing the impact of reaction models on the production of hydrocarbons from thermally upgraded oil shales. United States: N. p., 2018.
Web. doi:10.1016/j.petrol.2018.05.021.
Lee, Kyung Jae, Finsterle, Stefan, & Moridis, George J. Analyzing the impact of reaction models on the production of hydrocarbons from thermally upgraded oil shales. United States. https://doi.org/10.1016/j.petrol.2018.05.021
Lee, Kyung Jae, Finsterle, Stefan, and Moridis, George J. Tue .
"Analyzing the impact of reaction models on the production of hydrocarbons from thermally upgraded oil shales". United States. https://doi.org/10.1016/j.petrol.2018.05.021. https://www.osti.gov/servlets/purl/1479440.
@article{osti_1479440,
title = {Analyzing the impact of reaction models on the production of hydrocarbons from thermally upgraded oil shales},
author = {Lee, Kyung Jae and Finsterle, Stefan and Moridis, George J.},
abstractNote = {Reaction parameters significantly affect oil production from shales by means of heating and in-situ upgrading. In this work, we perform numerical simulations of two chemical reaction models, which are mainly used in the research of kerogen pyrolysis and subsequent hydrocarbon decomposition in organic-rich porous media. They are the Braun and Burnham model and Wellington model. In these forward numerical simulations, we present the influence of the two reaction models on hydrocarbon production. The Braun and Burnham reaction model shows more vigorous kerogen and subsequent decomposition reactions and more hydrocarbon production than the Wellington model. A local sensitivity analysis identifies the reaction parameters with the highest influence on productivity, and the most sensitive outputs. A data-worth analysis identifies the most valuable observation data to be measured for the best prediction of total hydrocarbon production. We find that the most valuable observation data is the cumulative production of heavy oil in the Braun and Burnham model and of light oil in the Wellington model, respectively. Finally, once we determine the maximum allowable prediction uncertainty and the expected measurement uncertainty, the observation data to be measured for the minimization of prediction uncertainty can be obtained.},
doi = {10.1016/j.petrol.2018.05.021},
journal = {Journal of Petroleum Science and Engineering},
number = C,
volume = 168,
place = {United States},
year = {Tue May 08 00:00:00 EDT 2018},
month = {Tue May 08 00:00:00 EDT 2018}
}
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