語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Experimental design in petroleum res...
~
Jamshidnezhad, Mohammad,
Experimental design in petroleum reservoir studies
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Experimental design in petroleum reservoir studiesMohammad Jamshidnezhad.
作者:
Jamshidnezhad, Mohammad,
出版者:
Oxford, UK :Elsevier :2015.
面頁冊數:
1 online resource.
標題:
Oil reservoir engineeringMathematical models.
電子資源:
https://www.sciencedirect.com/science/book/9780128030707
ISBN:
9780128030714 (electronic bk.)
Experimental design in petroleum reservoir studies
Jamshidnezhad, Mohammad,
Experimental design in petroleum reservoir studies
[electronic resource] /Mohammad Jamshidnezhad. - Oxford, UK :Elsevier :2015. - 1 online resource.
Includes bibliographical references and index.
Front Cover; Experimental Design in Petroleum Reservoir Studies; Copyright Page; Contents; Biography; Preface; 1 Introduction; 1.1 Petroleum reservoirs; 1.2 Petroleum rock properties; 1.3 Volumetric calculations in a reservoir; 1.4 Reservoir heterogeneity; 1.5 Reservoir models; 1.6 Experimental design; 2 Reservoir modeling; 2.1 Introduction; 2.2 Sources of data for reservoir modeling; 2.3 Reservoir characterization; 2.3.1 Geophysical and geological data; 2.3.2 Engineering data; 2.3.2.1 Core data; 2.3.2.2 Well logging data; 2.3.2.3 Pressure transient data.
One of the main duties for reservoir engineers is reservoir study, which starts when a reservoir is explored and it continues until the reservoir abandonment. Reservoir study is a continual process and due to various reasons such as complexity at the surface and limited data, there are many uncertainties in reservoir modelling and characterization causing difficulties in reasonable history-matching and prediction phases of study. This book concentrates on experimental design, a trusted method in reservoir management, to analyze and take the guesswork out of the uncertainties surrounding the underdeveloped reservoir. Case studies from the Barnett shale and fractured reservoirs in the Middle East are some of the examples included. Other discussions on uncertainty in PVT, field performance data, and relevant outcomes of experimental design will provide insight into how better data can improve measurement tools, your model, and your reservoir assets. --
English.
ISBN: 9780128030714 (electronic bk.)Subjects--Topical Terms:
229265
Oil reservoir engineering
--Mathematical models.Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: TN870.57
Dewey Class. No.: 622/.3382
Experimental design in petroleum reservoir studies
LDR
:04610cmm a2200337 a 4500
001
582288
006
o d
007
cnu|unuuu||
008
210121s2015 enk ob 001 0 eng d
020
$a
9780128030714 (electronic bk.)
020
$a
0128030712 (electronic bk.)
020
$a
9780128030707
020
$a
0128030704
035
$a
(OCoLC)907676403
035
$a
EL2020208
040
$a
N
$b
eng
$c
N
$d
N
$d
OPELS
$d
COO
$d
CDX
$d
UIU
$d
OCLCO
$d
E7B
$d
YDXCP
$d
IDEBK
$d
DEBSZ
$d
OCLCO
$d
EBLCP
$d
S9I
$d
OCLCF
$d
OCLCO
$d
FEM
$d
IDB
$d
UAB
$d
OCLCQ
$d
K6U
$d
MERUC
$d
U3W
$d
D6H
$d
OCLCQ
$d
WYU
$d
CUY
$d
LOA
$d
ZCU
$d
ICG
041
0
$a
eng
050
4
$a
TN870.57
082
0 4
$a
622/.3382
$2
23
100
1
$a
Jamshidnezhad, Mohammad,
$e
author.
$3
872462
245
1 0
$a
Experimental design in petroleum reservoir studies
$h
[electronic resource] /
$c
Mohammad Jamshidnezhad.
260
$a
Oxford, UK :
$b
Elsevier :
$b
Gulf Professional Publishing,
$c
2015.
300
$a
1 online resource.
504
$a
Includes bibliographical references and index.
505
0
$a
Front Cover; Experimental Design in Petroleum Reservoir Studies; Copyright Page; Contents; Biography; Preface; 1 Introduction; 1.1 Petroleum reservoirs; 1.2 Petroleum rock properties; 1.3 Volumetric calculations in a reservoir; 1.4 Reservoir heterogeneity; 1.5 Reservoir models; 1.6 Experimental design; 2 Reservoir modeling; 2.1 Introduction; 2.2 Sources of data for reservoir modeling; 2.3 Reservoir characterization; 2.3.1 Geophysical and geological data; 2.3.2 Engineering data; 2.3.2.1 Core data; 2.3.2.2 Well logging data; 2.3.2.3 Pressure transient data.
505
8
$a
2.3.2.4 Properties of reservoir fluids2.3.2.5 Rock-Fluid data; 2.3.2.6 Initialization data; 2.3.2.7 Well and recurrent data; 2.4 Mathematical modeling; 2.4.1 Decline curve analysis; 2.4.2 Analytical models; 2.4.3 Numerical simulation; 2.5 Model verification; 3 Experimental design in reservoir engineering; 3.1 Introduction; 3.2 Errors in mathematical modeling; 3.3 Uncertainty in reservoir data; 3.3.1 Uncertainty in geophysical data; 3.3.2 Uncertainty in geological data; 3.3.3 Uncertainty in dynamic data; 3.3.4 Uncertainty in PVT data; 3.3.5 Uncertainty in field performance data.
505
8
$a
3.4 Uncertainty analysis3.4.1 History matching; 3.4.2 Stochastic methods for uncertainty analysis; 3.4.2.1 Basic definitions; 3.4.3 Monte Carlo simulation; 3.5 Experimental design; 3.5.1 Basic rules in experimental design; 3.5.2 Outcomes of experimental design; 3.5.3 Designs; 3.5.3.1 Two-level full factorial designs; 3.5.3.2 Two-level fractional factorial designs; 3.5.3.3 Plackett-Burman design; 3.5.3.4 Three-level designs; 3.5.3.5 Latin hypercube design; 3.5.4 Response surface; 3.5.5 Sensitivity analysis; 3.5.5.1 Sensitivity analysis work flow; 4 Case studies; 4.1 Introduction.
505
8
$a
4.2 Case study 14.2.1 Ninth SPE comparative solution problem; 4.2.2 Uncertain parameters; 4.2.3 Experimental design; 4.2.4 Response surfaces; 4.3 Case study 2; 4.3.1 Undersaturated fractured reservoir in the middle east; 4.3.2 Uncertainty parameters; 4.4 Case study 3; 4.4.1 PUNQ case; 4.4.2 Uncertain parameters; 4.5 Case study 4; 4.5.1 Steam assisted gravity drainage in a heavy oil reservoir; 4.5.2 Experimental design; 4.6 Case study 5; 4.6.1 Barnett shale gas reservoir; 4.6.2 Reservoir modeling; 4.6.3 Uncertainty parameters; 4.6.4 Experimental design; 4.7 Case study 6.
505
8
$a
4.7.1 Miscible WAG injection4.7.2 Reservoir modeling; 4.7.3 Uncertain parameters; 4.7.4 Experimental design; Appendix: F distribution values; References; Index.
520
$a
One of the main duties for reservoir engineers is reservoir study, which starts when a reservoir is explored and it continues until the reservoir abandonment. Reservoir study is a continual process and due to various reasons such as complexity at the surface and limited data, there are many uncertainties in reservoir modelling and characterization causing difficulties in reasonable history-matching and prediction phases of study. This book concentrates on experimental design, a trusted method in reservoir management, to analyze and take the guesswork out of the uncertainties surrounding the underdeveloped reservoir. Case studies from the Barnett shale and fractured reservoirs in the Middle East are some of the examples included. Other discussions on uncertainty in PVT, field performance data, and relevant outcomes of experimental design will provide insight into how better data can improve measurement tools, your model, and your reservoir assets. --
$c
Edited summary from book.
546
$a
English.
588
0
$a
Online resource; title from PDF title page (EBSCO, viewed April 22, 2015).
650
0
$a
Oil reservoir engineering
$x
Mathematical models.
$3
229265
650
0
$a
Petroleum
$x
Geology
$x
Mathematical models.
$3
228126
650
0
$a
Petroleum engineering
$x
Mathematics.
$3
872463
655
4
$a
Electronic books.
$2
local.
$3
214472
856
4 0
$u
https://www.sciencedirect.com/science/book/9780128030707
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000187131
電子館藏
1圖書
電子書
EB TN870.57 2015
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://www.sciencedirect.com/science/book/9780128030707
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入