2014
DOI: 10.1155/2014/961641
|View full text |Cite
|
Sign up to set email alerts
|

Geomechanical Properties of Unconventional Shale Reservoirs

Abstract: Production from unconventional reservoirs has gained an increased attention among operators in North America during past years and is believed to secure the energy demand for next decades. Economic production from unconventional reservoirs is mainly attributed to realizing the complexities and key fundamentals of reservoir formation properties. Geomechanical well logs (including well logs such as total minimum horizontal stress, Poisson’s ratio, and Young, shear, and bulk modulus) are secured source to obtain … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
19
0

Year Published

2015
2015
2023
2023

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 37 publications
(19 citation statements)
references
References 12 publications
0
19
0
Order By: Relevance
“…As it is a well know phenomena, pressure dependency of gas creates non-linearity, therefore we used pseudo gas pressure definition by following [10]. In addition, Laplace theorem is used to solve partial differential mathematical expressions with following [20] technique, and [21] numerical conversion algorithm is used to obtain current time step production rate.…”
Section: Natural Fracture Modeling For Unconventional Reservoirsmentioning
confidence: 99%
“…As it is a well know phenomena, pressure dependency of gas creates non-linearity, therefore we used pseudo gas pressure definition by following [10]. In addition, Laplace theorem is used to solve partial differential mathematical expressions with following [20] technique, and [21] numerical conversion algorithm is used to obtain current time step production rate.…”
Section: Natural Fracture Modeling For Unconventional Reservoirsmentioning
confidence: 99%
“…Bhatt (2002) generate synthetic density, resistivity, and neutron logs using other well-logs and location data as input. Eshkalak et al (2013Eshkalak et al ( , 2014 create artificial geomechanical logs and Johnson et al 2018predict geochemical logs with ML. All results are promising and motivate other researchers to adopt the similar approach.…”
Section: Discussionmentioning
confidence: 99%
“…Results of this study prove that the minimum requirements necessary to model shale gas reservoirs are: 1) desorption phenomena and 2) pressure-sensitive permeability for hydraulic and induced-fractures (zones II and III) into the flow governing equations. Consequently, it is unnecessary to add more mechanisms and nonlinearity into the model (in agreement to [3] [18] [19]).…”
Section: Discussionmentioning
confidence: 99%