語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Adaptive Approach to Petroleum Reser...
~
Ursegov, Stanislav.
Adaptive Approach to Petroleum Reservoir Simulation
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Adaptive Approach to Petroleum Reservoir Simulation/ by Stanislav Ursegov, Armen Zakharian.
作者:
Ursegov, Stanislav.
其他作者:
Zakharian, Armen.
面頁冊數:
IX, 86 p. 47 illus., 44 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Geotechnical engineering. -
電子資源:
https://doi.org/10.1007/978-3-030-67474-8
ISBN:
9783030674748
Adaptive Approach to Petroleum Reservoir Simulation
Ursegov, Stanislav.
Adaptive Approach to Petroleum Reservoir Simulation
[electronic resource] /by Stanislav Ursegov, Armen Zakharian. - 1st ed. 2021. - IX, 86 p. 47 illus., 44 illus. in color.online resource. - Advances in Oil and Gas Exploration & Production,2509-3738. - Advances in Oil and Gas Exploration & Production,.
Introduction -- Value of information for reservoir simulation -- Contrasts between adaptive and deterministic models -- Alternatives for mathematical apparatus of adaptive simulation - neural networks and fuzzy logic -- Adaptive geological modeling -- Adaptive hydrodynamic modeling -- Adaptive forecasting -- Adaptive software system Cervart -- Conclusion.
This book presents unique features of the adaptive modeling approach based on new machine learning algorithms for petroleum exploration, development, and production. The adaptive approach helps simulation engineers and geoscientists to create adequate geological and hydrodynamic models. This approach is proven to be a real alternative to traditional techniques, such as deterministic modeling. Currently, machine-learning algorithms grow in popularity because they provide consistency, predictiveness, and convenience. The primary purpose of this book is to describe the theoretical state of the adaptive approach and show some examples of its implementation in simulation and forecasting different reservoir processes.
ISBN: 9783030674748
Standard No.: 10.1007/978-3-030-67474-8doiSubjects--Topical Terms:
1024219
Geotechnical engineering.
LC Class. No.: TA703-705.4
Dewey Class. No.: 624.151
Adaptive Approach to Petroleum Reservoir Simulation
LDR
:02544nam a22004095i 4500
001
1052583
003
DE-He213
005
20210921171616.0
007
cr nn 008mamaa
008
220103s2021 sz | s |||| 0|eng d
020
$a
9783030674748
$9
978-3-030-67474-8
024
7
$a
10.1007/978-3-030-67474-8
$2
doi
035
$a
978-3-030-67474-8
050
4
$a
TA703-705.4
072
7
$a
RB
$2
bicssc
072
7
$a
SCI019000
$2
bisacsh
072
7
$a
RB
$2
thema
082
0 4
$a
624.151
$2
23
100
1
$a
Ursegov, Stanislav.
$e
author.
$0
(orcid)0000-0002-8648-5496
$1
https://orcid.org/0000-0002-8648-5496
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1357308
245
1 0
$a
Adaptive Approach to Petroleum Reservoir Simulation
$h
[electronic resource] /
$c
by Stanislav Ursegov, Armen Zakharian.
250
$a
1st ed. 2021.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
IX, 86 p. 47 illus., 44 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Advances in Oil and Gas Exploration & Production,
$x
2509-3738
505
0
$a
Introduction -- Value of information for reservoir simulation -- Contrasts between adaptive and deterministic models -- Alternatives for mathematical apparatus of adaptive simulation - neural networks and fuzzy logic -- Adaptive geological modeling -- Adaptive hydrodynamic modeling -- Adaptive forecasting -- Adaptive software system Cervart -- Conclusion.
520
$a
This book presents unique features of the adaptive modeling approach based on new machine learning algorithms for petroleum exploration, development, and production. The adaptive approach helps simulation engineers and geoscientists to create adequate geological and hydrodynamic models. This approach is proven to be a real alternative to traditional techniques, such as deterministic modeling. Currently, machine-learning algorithms grow in popularity because they provide consistency, predictiveness, and convenience. The primary purpose of this book is to describe the theoretical state of the adaptive approach and show some examples of its implementation in simulation and forecasting different reservoir processes.
650
0
$a
Geotechnical engineering.
$3
1024219
650
0
$a
Engineering geology.
$3
558458
650
0
$a
Engineering—Geology.
$3
1253941
650
0
$a
Foundations.
$3
565339
650
0
$a
Hydraulics.
$3
636781
650
0
$a
Geophysics.
$3
686174
650
1 4
$a
Geotechnical Engineering & Applied Earth Sciences.
$3
815187
650
2 4
$a
Geoengineering, Foundations, Hydraulics.
$3
768429
650
2 4
$a
Geophysics/Geodesy.
$3
668510
700
1
$a
Zakharian, Armen.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1357309
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030674731
776
0 8
$i
Printed edition:
$z
9783030674755
776
0 8
$i
Printed edition:
$z
9783030674762
830
0
$a
Advances in Oil and Gas Exploration & Production,
$x
2509-372X
$3
1286784
856
4 0
$u
https://doi.org/10.1007/978-3-030-67474-8
912
$a
ZDB-2-EES
912
$a
ZDB-2-SXEE
950
$a
Earth and Environmental Science (SpringerNature-11646)
950
$a
Earth and Environmental Science (R0) (SpringerNature-43711)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入