کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1753024 1522566 2014 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multi-model weighted predictions for CH4 and H2S solubilities in freshwater and saline formation waters relevant to unconventional oil and gas extraction
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات زمین شناسی اقتصادی
پیش نمایش صفحه اول مقاله
Multi-model weighted predictions for CH4 and H2S solubilities in freshwater and saline formation waters relevant to unconventional oil and gas extraction
چکیده انگلیسی


• Statistical analysis of available CH4 and H2S solubility predictive models.
• Performance of CH4 and H2S solubility models for different types of water.
• Development of new weighted prediction models for CH4 & H2S solubilities in water.
• New models enhance predictive ability of CH4 & H2S solubilities for shale gas play.

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 298–483 K and a pressure range of 1–350 bar. 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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Coal Geology - Volume 131, 1 September 2014, Pages 177–185
نویسندگان
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