Shales Leaching Modelling for Prediction of Flowback Fluid Composition
The object of the paper is the prediction of flowback fluid composition at a laboratory scale, for which a new approach is described. The authors define leaching as a flowback fluid generation related to the shale processing. In the first step shale rock was characterized using X-ray fluorescence sp...
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doaj-25d18890d76841b689a120fe4e7b1c372020-11-24T21:49:07ZengMDPI AGEnergies1996-10732019-04-01127140410.3390/en12071404en12071404Shales Leaching Modelling for Prediction of Flowback Fluid CompositionAndrzej Rogala0Karolina Kucharska1Jan Hupka2Department of Process Engineering and Chemical Technology, Faculty of Chemistry, Gdansk University of Technology, Narutowicza 11/12, 80-233 Gdansk, PolandDepartment of Process Engineering and Chemical Technology, Faculty of Chemistry, Gdansk University of Technology, Narutowicza 11/12, 80-233 Gdansk, PolandDepartment of Process Engineering and Chemical Technology, Faculty of Chemistry, Gdansk University of Technology, Narutowicza 11/12, 80-233 Gdansk, PolandThe object of the paper is the prediction of flowback fluid composition at a laboratory scale, for which a new approach is described. The authors define leaching as a flowback fluid generation related to the shale processing. In the first step shale rock was characterized using X-ray fluorescence spectroscopy, X-ray diffractometry and laboratory analysis. It was proven that shale rock samples taken from the selected sections of horizontal well are heterogeneous. Therefore, the need to carry a wide range of investigations for highly diversified samples occurred. A series of leaching tests have been conducted. The extracts were analyzed after leaching to determine Total Organic Carbon and selected elements. For the results analysis significant parameters were chosen, and regression equations describing the influence of rocks and fracturing fluid parameters on the flowback fluid composition were proposed. Obtained models are described by high values of determination coefficients with confidence coefficients above 0.99 and a relatively low standard deviation. It was proven that the proposed approach regarding shale leaching can be properly described using shale models at a laboratory scale, however scaling up requires further investigations.https://www.mdpi.com/1996-1073/12/7/1404fracturing fluidflowback fluidleachingsolid-liquid extraction |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Andrzej Rogala Karolina Kucharska Jan Hupka |
spellingShingle |
Andrzej Rogala Karolina Kucharska Jan Hupka Shales Leaching Modelling for Prediction of Flowback Fluid Composition Energies fracturing fluid flowback fluid leaching solid-liquid extraction |
author_facet |
Andrzej Rogala Karolina Kucharska Jan Hupka |
author_sort |
Andrzej Rogala |
title |
Shales Leaching Modelling for Prediction of Flowback Fluid Composition |
title_short |
Shales Leaching Modelling for Prediction of Flowback Fluid Composition |
title_full |
Shales Leaching Modelling for Prediction of Flowback Fluid Composition |
title_fullStr |
Shales Leaching Modelling for Prediction of Flowback Fluid Composition |
title_full_unstemmed |
Shales Leaching Modelling for Prediction of Flowback Fluid Composition |
title_sort |
shales leaching modelling for prediction of flowback fluid composition |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2019-04-01 |
description |
The object of the paper is the prediction of flowback fluid composition at a laboratory scale, for which a new approach is described. The authors define leaching as a flowback fluid generation related to the shale processing. In the first step shale rock was characterized using X-ray fluorescence spectroscopy, X-ray diffractometry and laboratory analysis. It was proven that shale rock samples taken from the selected sections of horizontal well are heterogeneous. Therefore, the need to carry a wide range of investigations for highly diversified samples occurred. A series of leaching tests have been conducted. The extracts were analyzed after leaching to determine Total Organic Carbon and selected elements. For the results analysis significant parameters were chosen, and regression equations describing the influence of rocks and fracturing fluid parameters on the flowback fluid composition were proposed. Obtained models are described by high values of determination coefficients with confidence coefficients above 0.99 and a relatively low standard deviation. It was proven that the proposed approach regarding shale leaching can be properly described using shale models at a laboratory scale, however scaling up requires further investigations. |
topic |
fracturing fluid flowback fluid leaching solid-liquid extraction |
url |
https://www.mdpi.com/1996-1073/12/7/1404 |
work_keys_str_mv |
AT andrzejrogala shalesleachingmodellingforpredictionofflowbackfluidcomposition AT karolinakucharska shalesleachingmodellingforpredictionofflowbackfluidcomposition AT janhupka shalesleachingmodellingforpredictionofflowbackfluidcomposition |
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