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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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Geofluids |
| Online Access: | http://dx.doi.org/10.1155/2021/4223858 |
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| _version_ | 1832567606198927360 |
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| 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 |
| collection | DOAJ |
| 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 |
| id | doaj-art-ab3ebf815f854cdf9d6d7e27b16f6d34 |
| institution | Kabale University |
| issn | 1468-8123 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geofluids |
| spelling | doaj-art-ab3ebf815f854cdf9d6d7e27b16f6d342025-02-03T01:01:06ZengWileyGeofluids1468-81232021-01-01202110.1155/2021/4223858Advancement of Hydraulic Fracture Diagnostics in Unconventional FormationsAli Mahmoud0Ahmed Gowida1Murtada Saleh Aljawad2Mustafa Al-Ramadan3Ahmed Farid Ibrahim4Department of Petroleum EngineeringDepartment of Petroleum EngineeringDepartment of Petroleum EngineeringDepartment of Petroleum EngineeringDepartment of Petroleum EngineeringMultistage 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.http://dx.doi.org/10.1155/2021/4223858 |
| spellingShingle | Ali Mahmoud Ahmed Gowida Murtada Saleh Aljawad Mustafa Al-Ramadan Ahmed Farid Ibrahim Advancement of Hydraulic Fracture Diagnostics in Unconventional Formations Geofluids |
| title | 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_short | Advancement of Hydraulic Fracture Diagnostics in Unconventional Formations |
| title_sort | advancement of hydraulic fracture diagnostics in unconventional formations |
| url | http://dx.doi.org/10.1155/2021/4223858 |
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