Brittleness Prediction Using Sonic and Density Logs to Determine Sweet Spot of Brown Shale Reservoir

Subiatmono, Paschasius and Buntoro, Aris and Lukmana, Allen Haryanto and David, Muhammad and Kristanto, Dedy (2022) Brittleness Prediction Using Sonic and Density Logs to Determine Sweet Spot of Brown Shale Reservoir. Journal of Multidisciplinary Engineering Science and Technology (JMEST), 9 (2). 15078 -15084. ISSN 2458-9403

Text 7- JMEST February 2022_Paper_JMESTN42353989_Subiatmono, P et.al.pdf Download (4MB)

Abstract

Brittleness be used as one of the
important parameters to development of nonconventional

hydrocarbon or shale reservoirs.
Shale reservoir has very small permeability so
that to produce oil and gas, hydraulic fracturing
needs be done. For effectiveness in the fracturing
process, it is necessary to do fractures in rock
regions that have brittle properties. Therefore,
brittleness be used as a parameter in determining
the sweet spot. We use brittleness calculations
based on the elastic properties of rocks, which is
by calculating Young’s modulus and Poisson’s
ratio based on logging data. The mechanical
properties of rocks from the brown shale
formation at a depth of 6979.8 ft - 8869.1 ft showed
the Young's modulus value was high between 2.92
x 10
6
psi - 8.55 x 10
6
psi and the relatively low
Poisson’s ratio between 0.22 - 0.33. For brittleness
values obtained by the brittleness average
method, it is 0.46-1 which indicates that the brown
shale formation be categorized as brittle rock.
Keywords—shale reservoir, brown shale
formation, brittleness, young’s modulus,
poisson’s ratio

Item Type:	Article
Uncontrolled Keywords:	shale reservoir, brown shale formation, brittleness, young’s modulus, poisson’s ratio
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User:	Dr.Ir, MT Dedy Kristanto
Date Deposited:	31 Mar 2023 14:14
Last Modified:	31 Mar 2023 14:14
URI:	http://eprints.upnyk.ac.id/id/eprint/33100

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