TY - JOUR
T1 - Multi-model weighted predictions for CH4 and H2S solubilities in freshwater and saline formation waters relevant to unconventional oil and gas extraction
AU - Namhata, Argha
AU - Small, Mitchell J.
AU - Karamalidis, Athanasios K.
N1 - Funding Information:
The work was partially supported by the Fenves Grant from the Department of Civil and Environmental Engineering, Carnegie Mellon University . Additional support for Mitchell Small was provided by the H. John Heinz III Professorship of Environmental Engineering at Carnegie Mellon University . We acknowledge Dr. Robert Dilmore of NETL — U.S. DOE and Zan Wang of Carnegie Mellon University for providing thorough and constructive reviews. We would further like to thank the reviewers for their constructive and valuable suggestions on this work.
PY - 2014/9/1
Y1 - 2014/9/1
N2 - Technological advancements in horizontal drilling and hydraulic fracturing make extraction of natural gas from shale formations economically feasible. However, those activities may induce environmental risks associated with regional water quality due to migration of gases like CH4 and H2S through fractures and accidental spills. Thus, predicting the solubilities of these gases in different aqueous media and conditions, including those relevant to sub-surface environments, is important. Nine models, including equations of state and empirical models, for predicting CH4 solubility in aqueous phases and six models for H2S are considered and evaluated. The goal of this study was to develop multi-model weighted prediction (MMoWP) for each of these gases for a range of ionic strengths varying from freshwater to saline water and brine, over a temperature range of 298-483K and a pressure range of 1-350bar. The predictive accuracy of each model varies with different aqueous conditions. A variance-based weighted model is developed to predict the solubilities of the two gases under different surface and sub-surface conditions (i.e., temperature, pressure and salt concentration (T-P-X)), and the performance of the weighted model is compared to the best fitting individual model in each case. Predicted and observed values are compared using a 5-fold cross validation. Cases for which the weighted model outperforms the best predictive model for each of the two gases are identified and discussed. The modeling approach followed by this study increases the predictive accuracy of CH4 and H2S solubilities across the sub-surface T-P-X conditions likely to be encountered at shale gas extraction sites.
AB - Technological advancements in horizontal drilling and hydraulic fracturing make extraction of natural gas from shale formations economically feasible. However, those activities may induce environmental risks associated with regional water quality due to migration of gases like CH4 and H2S through fractures and accidental spills. Thus, predicting the solubilities of these gases in different aqueous media and conditions, including those relevant to sub-surface environments, is important. Nine models, including equations of state and empirical models, for predicting CH4 solubility in aqueous phases and six models for H2S are considered and evaluated. The goal of this study was to develop multi-model weighted prediction (MMoWP) for each of these gases for a range of ionic strengths varying from freshwater to saline water and brine, over a temperature range of 298-483K and a pressure range of 1-350bar. The predictive accuracy of each model varies with different aqueous conditions. A variance-based weighted model is developed to predict the solubilities of the two gases under different surface and sub-surface conditions (i.e., temperature, pressure and salt concentration (T-P-X)), and the performance of the weighted model is compared to the best fitting individual model in each case. Predicted and observed values are compared using a 5-fold cross validation. Cases for which the weighted model outperforms the best predictive model for each of the two gases are identified and discussed. The modeling approach followed by this study increases the predictive accuracy of CH4 and H2S solubilities across the sub-surface T-P-X conditions likely to be encountered at shale gas extraction sites.
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U2 - 10.1016/j.coal.2014.06.012
DO - 10.1016/j.coal.2014.06.012
M3 - Article
AN - SCOPUS:84903826513
SN - 0166-5162
VL - 131
SP - 177
EP - 185
JO - International Journal of Coal Geology
JF - International Journal of Coal Geology
ER -