Advancement of Hydraulic Fracture Diagnostics in Unconventional Formations

Multistage hydraulic fracturing is a technique to extract hydrocarbon from tight and unconventional reservoirs. Although big advancements occurred in this field, understanding of the created fractures location, size, complexity, and proppant distribution is in its infancy. This study provides the re...

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Autores principales:	Ali Mahmoud, Ahmed Gowida, Murtada Saleh Aljawad, Mustafa Al-Ramadan, Ahmed Farid Ibrahim
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Geology QE1-996.5
Acceso en línea:	https://doaj.org/article/ab3ebf815f854cdf9d6d7e27b16f6d34
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spelling	oai:doaj.org-article:ab3ebf815f854cdf9d6d7e27b16f6d342021-11-15T01:19:10ZAdvancement of Hydraulic Fracture Diagnostics in Unconventional Formations1468-812310.1155/2021/4223858https://doaj.org/article/ab3ebf815f854cdf9d6d7e27b16f6d342021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/4223858https://doaj.org/toc/1468-8123Multistage hydraulic fracturing is a technique to extract hydrocarbon from tight and unconventional reservoirs. Although big advancements occurred in this field, understanding of the created fractures location, size, complexity, and proppant distribution is in its infancy. This study provides the recent advances in the methods and techniques used to diagnose hydraulic fractures in unconventional formations. These techniques include tracer flowback analysis, fiber optics such as distributed temperature sensing (DTS) and distributed acoustic sensing (DAS), tiltmeters, microseismic monitoring, and diagnostic fracture injection tests (DFIT). These techniques are used to estimate the fracture length, height, width, complexity, azimuth, cluster efficiency, fracture spacing between laterals, and proppant distribution. Each technique has its advantages and limitations, while integrating more than one technique in fracture diagnostics might result in synergies, leading to a more informative fracture description. DFIT analysis is critical and subjected to the interpreter’s understanding of the process and the formation properties. Hence, the applications of machine learning in fracture diagnostics and DFIT analysis were discussed. The current study presents an extensive review and comparison between different multistage fracture diagnostic methods, and their applicability is provided. The advantages and the limitations of each technique were highlighted, and the possible areas of future research were suggested.Ali MahmoudAhmed GowidaMurtada Saleh AljawadMustafa Al-RamadanAhmed Farid IbrahimHindawi-WileyarticleGeologyQE1-996.5ENGeofluids, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Geology QE1-996.5
spellingShingle	Geology QE1-996.5 Ali Mahmoud Ahmed Gowida Murtada Saleh Aljawad Mustafa Al-Ramadan Ahmed Farid Ibrahim Advancement of Hydraulic Fracture Diagnostics in Unconventional Formations
description	Multistage hydraulic fracturing is a technique to extract hydrocarbon from tight and unconventional reservoirs. Although big advancements occurred in this field, understanding of the created fractures location, size, complexity, and proppant distribution is in its infancy. This study provides the recent advances in the methods and techniques used to diagnose hydraulic fractures in unconventional formations. These techniques include tracer flowback analysis, fiber optics such as distributed temperature sensing (DTS) and distributed acoustic sensing (DAS), tiltmeters, microseismic monitoring, and diagnostic fracture injection tests (DFIT). These techniques are used to estimate the fracture length, height, width, complexity, azimuth, cluster efficiency, fracture spacing between laterals, and proppant distribution. Each technique has its advantages and limitations, while integrating more than one technique in fracture diagnostics might result in synergies, leading to a more informative fracture description. DFIT analysis is critical and subjected to the interpreter’s understanding of the process and the formation properties. Hence, the applications of machine learning in fracture diagnostics and DFIT analysis were discussed. The current study presents an extensive review and comparison between different multistage fracture diagnostic methods, and their applicability is provided. The advantages and the limitations of each technique were highlighted, and the possible areas of future research were suggested.
format	article
author	Ali Mahmoud Ahmed Gowida Murtada Saleh Aljawad Mustafa Al-Ramadan Ahmed Farid Ibrahim
author_facet	Ali Mahmoud Ahmed Gowida Murtada Saleh Aljawad Mustafa Al-Ramadan Ahmed Farid Ibrahim
author_sort	Ali Mahmoud
title	Advancement of Hydraulic Fracture Diagnostics in Unconventional Formations
title_short	Advancement of Hydraulic Fracture Diagnostics in Unconventional Formations
title_full	Advancement of Hydraulic Fracture Diagnostics in Unconventional Formations
title_fullStr	Advancement of Hydraulic Fracture Diagnostics in Unconventional Formations
title_full_unstemmed	Advancement of Hydraulic Fracture Diagnostics in Unconventional Formations
title_sort	advancement of hydraulic fracture diagnostics in unconventional formations
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/ab3ebf815f854cdf9d6d7e27b16f6d34
work_keys_str_mv	AT alimahmoud advancementofhydraulicfracturediagnosticsinunconventionalformations AT ahmedgowida advancementofhydraulicfracturediagnosticsinunconventionalformations AT murtadasalehaljawad advancementofhydraulicfracturediagnosticsinunconventionalformations AT mustafaalramadan advancementofhydraulicfracturediagnosticsinunconventionalformations AT ahmedfaridibrahim advancementofhydraulicfracturediagnosticsinunconventionalformations
_version_	1718429002539991040

Advancement of Hydraulic Fracture Diagnostics in Unconventional Formations

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