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Fracture Characterization Using Flowback Water Transients from Hydraulically Fractured Shale Gas Wells
[Image: see text] Fracture characterization is necessary to evaluate fracturing operations and forecast well performance. However, it is challenging to quantitatively characterize the complex fracture network in shale gas reservoirs because of the unknown density and reactivation of natural fracture...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6751549/ https://www.ncbi.nlm.nih.gov/pubmed/31552308 http://dx.doi.org/10.1021/acsomega.9b01117 |
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author | Liu, Hua Hu, Xiaohu Guo, Yandong Ma, Xinfang Wang, Fei Chen, Qiaoyun |
author_facet | Liu, Hua Hu, Xiaohu Guo, Yandong Ma, Xinfang Wang, Fei Chen, Qiaoyun |
author_sort | Liu, Hua |
collection | PubMed |
description | [Image: see text] Fracture characterization is necessary to evaluate fracturing operations and forecast well performance. However, it is challenging to quantitatively characterize the complex fracture network in shale gas reservoirs because of the unknown density and reactivation of natural fractures. The flowback water transients can provide useful information about the complexity of the fracture network after the fracturing operations. In this paper, a mathematical model for modeling fracturing fluid flowback of hydraulically fractured shale gas wells is established. This proposed model characterizes the flow of water and gas in a hydraulic fracture-induced natural fracture–shale matrix system. Hydraulic, capillary, and osmotic convections; gas adsorption; and natural fracture closure are considered in this model. Flowback simulation of a hydraulically fractured shale gas well is conducted using the developed numerical simulator, and the water/gas transients between hydraulic fractures, natural fractures, and matrix are obtained. Finally, two field cases from the Longmaxi Formation, Southern Sichuan Basin, China, are used for comparison of the flowback data with the model results. The good match of the two water transients provides a group of fracture network parameters, that is, the effective length and conductivity of main hydraulic fractures and the density of induced natural fractures. The proposed model for describing the flowback process and its meaningful relationship with the fracture–network complexity provides an alternative approach for post-stimulation evaluation. |
format | Online Article Text |
id | pubmed-6751549 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-67515492019-09-24 Fracture Characterization Using Flowback Water Transients from Hydraulically Fractured Shale Gas Wells Liu, Hua Hu, Xiaohu Guo, Yandong Ma, Xinfang Wang, Fei Chen, Qiaoyun ACS Omega [Image: see text] Fracture characterization is necessary to evaluate fracturing operations and forecast well performance. However, it is challenging to quantitatively characterize the complex fracture network in shale gas reservoirs because of the unknown density and reactivation of natural fractures. The flowback water transients can provide useful information about the complexity of the fracture network after the fracturing operations. In this paper, a mathematical model for modeling fracturing fluid flowback of hydraulically fractured shale gas wells is established. This proposed model characterizes the flow of water and gas in a hydraulic fracture-induced natural fracture–shale matrix system. Hydraulic, capillary, and osmotic convections; gas adsorption; and natural fracture closure are considered in this model. Flowback simulation of a hydraulically fractured shale gas well is conducted using the developed numerical simulator, and the water/gas transients between hydraulic fractures, natural fractures, and matrix are obtained. Finally, two field cases from the Longmaxi Formation, Southern Sichuan Basin, China, are used for comparison of the flowback data with the model results. The good match of the two water transients provides a group of fracture network parameters, that is, the effective length and conductivity of main hydraulic fractures and the density of induced natural fractures. The proposed model for describing the flowback process and its meaningful relationship with the fracture–network complexity provides an alternative approach for post-stimulation evaluation. American Chemical Society 2019-09-09 /pmc/articles/PMC6751549/ /pubmed/31552308 http://dx.doi.org/10.1021/acsomega.9b01117 Text en Copyright © 2019 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes. |
spellingShingle | Liu, Hua Hu, Xiaohu Guo, Yandong Ma, Xinfang Wang, Fei Chen, Qiaoyun Fracture Characterization Using Flowback Water Transients from Hydraulically Fractured Shale Gas Wells |
title | Fracture Characterization Using Flowback Water Transients
from Hydraulically Fractured Shale Gas Wells |
title_full | Fracture Characterization Using Flowback Water Transients
from Hydraulically Fractured Shale Gas Wells |
title_fullStr | Fracture Characterization Using Flowback Water Transients
from Hydraulically Fractured Shale Gas Wells |
title_full_unstemmed | Fracture Characterization Using Flowback Water Transients
from Hydraulically Fractured Shale Gas Wells |
title_short | Fracture Characterization Using Flowback Water Transients
from Hydraulically Fractured Shale Gas Wells |
title_sort | fracture characterization using flowback water transients
from hydraulically fractured shale gas wells |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6751549/ https://www.ncbi.nlm.nih.gov/pubmed/31552308 http://dx.doi.org/10.1021/acsomega.9b01117 |
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