New model of brittleness index to locate the sweet spots for hydraulic fracturing in unconventional reservoirs

Rock characterization in term of brittleness is necessary for successful stimulation of shale gas reservoirs. High brittleness is required to prevent healing of natural and induced hydraulic fractures and also to decrease the breakdown pressure for fracture initiation and propagation. Several defini...

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Main Authors: Iqbal, O., Ahmad, M., Padmanabhan, E.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.24964 /
Published: Asian Research Publishing Network 2019
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075328907&partnerID=40&md5=e5a619a358114c69a56e6aea93d948fa
http://eprints.utp.edu.my/24964/
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spelling utp-eprints.249642021-08-27T08:35:10Z New model of brittleness index to locate the sweet spots for hydraulic fracturing in unconventional reservoirs Iqbal, O. Ahmad, M. Padmanabhan, E. Rock characterization in term of brittleness is necessary for successful stimulation of shale gas reservoirs. High brittleness is required to prevent healing of natural and induced hydraulic fractures and also to decrease the breakdown pressure for fracture initiation and propagation. Several definitions of brittleness and methods for its estimation has been reviewed in this study in order to come up with most applicable and promising conclusion. The brittleness in term of brittleness index (BI) can be quantified from laboratory on core samples, geophysical methods and from well logs. There are many limitations in lab-based estimation of BI on core samples but still consider benchmark for calibration with other methods. The estimation of brittleness from mineralogy and dynamic elastic parameters like Young's modulus, Poison's ratio is common in field application. The new model of brittleness index is proposed based on mineral contents and geomechanical properties, which could be used to classify rock into brittle and ductile layers. The importance of mechanical behavior in term of brittle and ductile in shale gas fracturing were also reviewed because shale with high brittleness index (BI) or brittle shale exist natural fractures that are closed before stimulation and can provide fracture network or avenues through stimulation. The brittle shale also has low breakdown pressure and no fracture healing as compared to ductile shale. The integration of laboratory and geophysical methods (determination of P and S waves from well logs) are recommended for accurate estimation of brittleness index (BI) for shale gas reservoirs. © 2006-2019 Asian Research Publishing Network (ARPN). Asian Research Publishing Network 2019 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075328907&partnerID=40&md5=e5a619a358114c69a56e6aea93d948fa Iqbal, O. and Ahmad, M. and Padmanabhan, E. (2019) New model of brittleness index to locate the sweet spots for hydraulic fracturing in unconventional reservoirs. ARPN Journal of Engineering and Applied Sciences, 14 (18). pp. 3271-3283. http://eprints.utp.edu.my/24964/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Rock characterization in term of brittleness is necessary for successful stimulation of shale gas reservoirs. High brittleness is required to prevent healing of natural and induced hydraulic fractures and also to decrease the breakdown pressure for fracture initiation and propagation. Several definitions of brittleness and methods for its estimation has been reviewed in this study in order to come up with most applicable and promising conclusion. The brittleness in term of brittleness index (BI) can be quantified from laboratory on core samples, geophysical methods and from well logs. There are many limitations in lab-based estimation of BI on core samples but still consider benchmark for calibration with other methods. The estimation of brittleness from mineralogy and dynamic elastic parameters like Young's modulus, Poison's ratio is common in field application. The new model of brittleness index is proposed based on mineral contents and geomechanical properties, which could be used to classify rock into brittle and ductile layers. The importance of mechanical behavior in term of brittle and ductile in shale gas fracturing were also reviewed because shale with high brittleness index (BI) or brittle shale exist natural fractures that are closed before stimulation and can provide fracture network or avenues through stimulation. The brittle shale also has low breakdown pressure and no fracture healing as compared to ductile shale. The integration of laboratory and geophysical methods (determination of P and S waves from well logs) are recommended for accurate estimation of brittleness index (BI) for shale gas reservoirs. © 2006-2019 Asian Research Publishing Network (ARPN).
format Article
author Iqbal, O.
Ahmad, M.
Padmanabhan, E.
spellingShingle Iqbal, O.
Ahmad, M.
Padmanabhan, E.
New model of brittleness index to locate the sweet spots for hydraulic fracturing in unconventional reservoirs
author_sort Iqbal, O.
title New model of brittleness index to locate the sweet spots for hydraulic fracturing in unconventional reservoirs
title_short New model of brittleness index to locate the sweet spots for hydraulic fracturing in unconventional reservoirs
title_full New model of brittleness index to locate the sweet spots for hydraulic fracturing in unconventional reservoirs
title_fullStr New model of brittleness index to locate the sweet spots for hydraulic fracturing in unconventional reservoirs
title_full_unstemmed New model of brittleness index to locate the sweet spots for hydraulic fracturing in unconventional reservoirs
title_sort new model of brittleness index to locate the sweet spots for hydraulic fracturing in unconventional reservoirs
publisher Asian Research Publishing Network
publishDate 2019
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075328907&partnerID=40&md5=e5a619a358114c69a56e6aea93d948fa
http://eprints.utp.edu.my/24964/
_version_ 1741196897304969216
score 11.62408

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