Green aviation:
Gespeichert in:
Weitere Verfasser: | |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Chichester, UK
Wiley
[2016]
|
Schriftenreihe: | Encyclopedia of aerospace engineering
|
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis Inhaltsverzeichnis |
Beschreibung: | x, 514 Seiten Illustrationen |
ISBN: | 9781118866351 |
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Datensatz im Suchindex
_version_ | 1804176696102879232 |
---|---|
adam_text | GREEN AVIATION
/
: 2016
TABLE OF CONTENTS / INHALTSVERZEICHNIS
MICROBURST WIND SHEAR
TURBULENCE
ICING
WAKE VORTICES
LIGHTNING
DUST DEVILS
CONCLUDING REMARKS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
TABLE OF CONTENTS
ABSTRACT (ENGLISH
VERSION)....................................................................................................................
I
ABSTRACT (GERMAN
VERSION).................................................................................................................
III
ACKNOWLEDGEMENT...................................................................................................................................
V
DEDICATION..................................................................................................................................................
VI
NOMENCLATURE...........................................................................................................................................
X
ABBREVIATIONS...........................................................................................................................................
XI
LIST OF
FIGURES............................................................................................................................................IX
LIST OF
TABLES.............................................................................................................................................XII
1
INTRODUCTION......................................................................................................................................1
1.1 BACKGROUND TO THE STU D Y
..............................................................................................................1
1.2 BASIS OF THE PROBLEM SOLUTION MODEL - DRILLING RIG SELECTION
.................................................
4
1.2.1 RIG SELECTION M
ETHODS.........................................................................................................6
1.2.2 RIG SELECTION
PROCESS...........................................................................................................
7
1.2.3RIG SELECTION
CRITERIA...........................................................................................................
8
1.3 PREVIOUS WORKS ON THE USE OF DATABASE MANAGEMENT SYSTEM IN DRILLING
SYSTEM DESIGN
AND
OPERATIONS............................................................................................................................12
1.3.1 DATABASE MANAGEMENT METHODS IN DRILLING SYSTEM DESIGN AND
OPERATION
...............
12
1.3.2DATABASE MANAGEMENT APPLICATION IN DRILLING
SYSTEM..................................................14
1.4 DISSERTATION
OUTLINE...................................................................................................................
15
2 STATE OF THE
ART...............................................................................................................................17
2.1
ABSTRACT........................................................................................................................................
17
2.2
INTRODUCTION.................................................................................................................................
17
2.3 BENEFITS AND LIMITATIONS OF ARTIFICIAL INTELLIGENCE TECHNIQUES
..............................................
19
2.3.1BENEFITS OF ARTIFICIAL INTELLIGENCE TECHNIQUES
.................................................................
19
2.3.2 LIMITATIONS OF ARTIFICIAL INTELLIGENCE
TECHNIQUES.............................................................20
2.4 BRANCHES OF ARTIFICIAL INTELLIGENCE
TECHNIQUES........................................................................
20
2.4.1 ARTIFICIAL NEURAL NETWORKS
(ANN).....................................................................................20
2.4.2 FUZZY LOGIC
(FL)...................................................................................................................
21
2.4.3GENETIC ALGORITHM
(GA).....................................................................................................22
2.4.4SUPPORT VECTOR MACHINES
(SVM)......................................................................................23
2.4.5CASED BASED REASONING
(CBR)..........................................................................................
23
2.4.6 DECISION TREE
(DT)..............................................................................................................24
2.4.7 HYBRID
SYSTEMS....................................................................................................................
24
2.5 ARTIFICIAL INTELLIGENCE APPLICATION IN OIL AND GAS INDUSTRY
......................................................
25
2.6 AI APPLICATIONS IN DRILLING SYSTEM DESIGN AND OPERATIONS
.....................................................
26
2.6.1WELL
PLANNING.......................................................................................................................28
2.6.2REAL TIME DRILLING
OPTIMIZATION........................................................................................32
2.6.3 WELL
INTEGRITY.......................................................................................................................35
2.6.40PERATIONAL
TROUBLESHOOTING............................................................................................
36
2.6.5 PATTERN
RECOGNITION............................................................................................................
38
2.6.6PROCEDURAL
DECISION-TAKING................................................................................................40
2.7 CURRENT TECHNOLOGY GAPS OF ARTIFICIAL INTELLIGENCE APPLICATIONS IN
DRILLING SYSTEM DESIGN
AND O
PERATIONS............................................................................................................................
41
2.8
SUMMARY.......................................................................................................................................42
3 PROBLEM STATEMENT, RESEARCH OBJECTIVES AND TECHNICAL CONTRIBUTIONS
......................................
43
3.1 STATEMENT OF THE PROBLEM
..........................................................................................................43
3.2 RESEARCH
OBJECTIVES....................................................................................................................
44
3.3 TECHNICAL CONTRIBUTIONS TO
KNOWLEDGE.....................................................................................
45
4 DESIGN AND IMPLEMENTATION OF A DATABASE MANAGEMENT SYSTEM (DBMS) FOR
DRILLING RIGS
SELECTION................................................................................................................................................47
4.1
ABSTRACT.........................................................................................................................................47
THE IMPLEMENTATION OF ROBUST DATABASE MANAGEMENT SYSTEM IS DISCUSSED
HERE......................47
4.2
INTRODUCTION..................................................................................................................................
47
4.2.1 DATA CONCEPT OF THE SYSTEM
..............................................................................................
47
4.2.20NSHORE DRILLING RIGS USED IN THE DATABASE
......................................................................
47
4.2.3 BROAD RANGE OF APPLICABILITY OF THE DA TA B ASE
..................................................................48
4.2.4CONTENT OF THE D
ATABASE....................................................................................................
48
4.2.5DATABASE STRUCTURE AND DEVELOPM
ENT.............................................................................
49
4.2.60PERATIONS OF THE DATABASE MANAGEMENT
SYSTEM..........................................................52
4.3 APPLICATION DEVELOPED
PACKAGE.................................................................................................52
4.3.1 PROCESS
MODULE...................................................................................................................
55
4.3.2SELECTION - DBMS (DATABASE MANAGEMENT SYSTEMS) M ODULE
.....................................
56
4.3.3SEARCH
MODULE....................................................................................................................
57
4.3.4UPDATE
MODULE...................................................................................................................
59
4.4 APPLICATION
TESTING......................................................................................................................60
5 DRILLING RIG SELECTION USING A NOVEL FUZZY LOGIC M
ETHOD.................................................................
61
5.1
ABSTRACT.......................................................................................................................................61
VIII
5.2 INTRODUCTION... .......................61
5.3 EXPERT
KNOWLEDGE.......................................................................................................................
63
5.4 IDENTIFICATION AND ESTABLISHMENT OF
ATTRIBUTES.......................................................................
64
5.5 FROM EXPERT KNOWLEDGE TO EXPERT
SYSTEM..............................................................................65
5.5.1 PARTITIONING THE
ATTRIBUTES................................................................................................
65
5.5.2 DEFINING THE FUZZY
SETS.......................................................................................................
66
5.5.3CREATING THE RULES AND EVALUATING THE
ATTRIBUTES............................................................67
5.6
SUMMARY......................................................................................................................................68
6 HYBRID COMPUTATIONAL INTELLIGENCE MODEL FOR OPTIMUM DRILLING RIGS
SELECTION
........................
69
6.1
ABSTRACT........................................................................................................................................
69
6.2 DISTANCE BASED APPROACH M
ODEL..............................................................................................69
6.3 FTOPSIS MODEL DISTANCE BASED APPROACH M
ODEL...................................................................71
6.4 HYBRID CONCEPTUAL MODEL,
DBA-FTOPSIS.................................................................................
77
7 MODEL VALIDATION - RESULTS AND
DISCUSSIONS.....................................................................................80
7.1 APPLICATION OF FUZZY LOGIC MODEL FOR GEOTHERMAL FIELD
.........................................................
80
7.1.10UTCOM E
QUALITY................................................................................................................81
7.2 HYBRID MODEL FOR AN OIL FIELD
DEVELOPMENT.............................................................................82
8 CONCLUSIONS AND FUTURE
WORKS..........................................................................................................
90
8.1
CONCLUSIONS..................................................................................................................................
90
8.2 FUTURE W
ORKS...............................................................................................................................92
REFERENCES...................................................................................................................................................
93
APPENDIX A - SELECTION OF PUBLICATIONS RELATED TO THIS PHD W ORK
........................................................
99
APPENDIX B -
DBMS...................................................................................................................................100
SAMPLE RUN
1:.............................................................................................................................100
SAMPLE RUN
2:.............................................................................................................................100
SAMPLE RUN
3:.............................................................................................................................100
SAMPLE RUN
4:.............................................................................................................................102
APPENDIX C -
DBMS...................................................................................................................................103
A.L MINIMUM SYSTEM
REQUIREMENTS.......................................................................................
103
A.2
INSTALLATION..........................................................................................................................
103
APPENDIX D - FUZZY LOGIC M
ETHOD...........................................................................................................108
PUBLICATIONS...............................................................................................................................................
113
|
any_adam_object | 1 |
author2 | Agarwal, Ramesh K. 1947- |
author2_role | edt |
author2_variant | r k a rk rka |
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author_facet | Agarwal, Ramesh K. 1947- |
building | Verbundindex |
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callnumber-first | T - Technology |
callnumber-label | TL556 |
callnumber-raw | TL556 |
callnumber-search | TL556 |
callnumber-sort | TL 3556 |
callnumber-subject | TL - Motor Vehicles and Aeronautics |
classification_rvk | ZO 7280 |
classification_tum | VER 699 |
ctrlnum | (OCoLC)991563409 (DE-599)BVBBV043832299 |
dewey-full | 629.132/4 |
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dewey-ones | 629 - Other branches of engineering |
dewey-raw | 629.132/4 |
dewey-search | 629.132/4 |
dewey-sort | 3629.132 14 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Verkehrstechnik Verkehr / Transport |
format | Book |
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id | DE-604.BV043832299 |
illustrated | Illustrated |
indexdate | 2024-07-10T07:36:17Z |
institution | BVB |
isbn | 9781118866351 |
language | English |
lccn | 016018238 |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029243065 |
oclc_num | 991563409 |
open_access_boolean | |
owner | DE-703 DE-83 DE-91G DE-BY-TUM |
owner_facet | DE-703 DE-83 DE-91G DE-BY-TUM |
physical | x, 514 Seiten Illustrationen |
publishDate | 2016 |
publishDateSearch | 2016 |
publishDateSort | 2016 |
publisher | Wiley |
record_format | marc |
series2 | Encyclopedia of aerospace engineering |
spelling | Green aviation green aviation editors Ramesh Agarwal (the William Palm Professor for Engineering, Washington University, St Louis, MO, USA), Fayette Collier (NASA Langley Research Center, Hampton, VA, USA), Andreas Schäfer (UCL Energy Institute, London, UK), Allan Seabridge Independent Aerospace Consultant, Lytham St. Annes, UK) Chichester, UK Wiley [2016] x, 514 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Encyclopedia of aerospace engineering Meteorology in aeronautics Aeronautics Safety measures Aircraft accidents Prevention Aeronautics Flights Airplanes Piloting Aeronautics, Commercial Emissionsverringerung (DE-588)4113432-1 gnd rswk-swf Umweltverträglichkeit (DE-588)4061655-1 gnd rswk-swf Flugzeug (DE-588)4017672-1 gnd rswk-swf Nachhaltigkeit (DE-588)4326464-5 gnd rswk-swf Luftfahrzeug (DE-588)4168246-4 gnd rswk-swf Kraftstoffeinsparung (DE-588)4204820-5 gnd rswk-swf Technische Innovation (DE-588)4431027-4 gnd rswk-swf Fliegen (DE-588)4017529-7 gnd rswk-swf Luftfahrzeugtechnik (DE-588)4036563-3 gnd rswk-swf Luftfahrzeug (DE-588)4168246-4 s Fliegen (DE-588)4017529-7 s Nachhaltigkeit (DE-588)4326464-5 s DE-604 Flugzeug (DE-588)4017672-1 s Luftfahrzeugtechnik (DE-588)4036563-3 s Kraftstoffeinsparung (DE-588)4204820-5 s Emissionsverringerung (DE-588)4113432-1 s Umweltverträglichkeit (DE-588)4061655-1 s Technische Innovation (DE-588)4431027-4 s Agarwal, Ramesh K. 1947- (DE-588)1032727888 edt LoC Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029243065&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029243065&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Green aviation Meteorology in aeronautics Aeronautics Safety measures Aircraft accidents Prevention Aeronautics Flights Airplanes Piloting Aeronautics, Commercial Emissionsverringerung (DE-588)4113432-1 gnd Umweltverträglichkeit (DE-588)4061655-1 gnd Flugzeug (DE-588)4017672-1 gnd Nachhaltigkeit (DE-588)4326464-5 gnd Luftfahrzeug (DE-588)4168246-4 gnd Kraftstoffeinsparung (DE-588)4204820-5 gnd Technische Innovation (DE-588)4431027-4 gnd Fliegen (DE-588)4017529-7 gnd Luftfahrzeugtechnik (DE-588)4036563-3 gnd |
subject_GND | (DE-588)4113432-1 (DE-588)4061655-1 (DE-588)4017672-1 (DE-588)4326464-5 (DE-588)4168246-4 (DE-588)4204820-5 (DE-588)4431027-4 (DE-588)4017529-7 (DE-588)4036563-3 |
title | Green aviation |
title_auth | Green aviation |
title_exact_search | Green aviation |
title_full | Green aviation green aviation editors Ramesh Agarwal (the William Palm Professor for Engineering, Washington University, St Louis, MO, USA), Fayette Collier (NASA Langley Research Center, Hampton, VA, USA), Andreas Schäfer (UCL Energy Institute, London, UK), Allan Seabridge Independent Aerospace Consultant, Lytham St. Annes, UK) |
title_fullStr | Green aviation green aviation editors Ramesh Agarwal (the William Palm Professor for Engineering, Washington University, St Louis, MO, USA), Fayette Collier (NASA Langley Research Center, Hampton, VA, USA), Andreas Schäfer (UCL Energy Institute, London, UK), Allan Seabridge Independent Aerospace Consultant, Lytham St. Annes, UK) |
title_full_unstemmed | Green aviation green aviation editors Ramesh Agarwal (the William Palm Professor for Engineering, Washington University, St Louis, MO, USA), Fayette Collier (NASA Langley Research Center, Hampton, VA, USA), Andreas Schäfer (UCL Energy Institute, London, UK), Allan Seabridge Independent Aerospace Consultant, Lytham St. Annes, UK) |
title_short | Green aviation |
title_sort | green aviation |
topic | Meteorology in aeronautics Aeronautics Safety measures Aircraft accidents Prevention Aeronautics Flights Airplanes Piloting Aeronautics, Commercial Emissionsverringerung (DE-588)4113432-1 gnd Umweltverträglichkeit (DE-588)4061655-1 gnd Flugzeug (DE-588)4017672-1 gnd Nachhaltigkeit (DE-588)4326464-5 gnd Luftfahrzeug (DE-588)4168246-4 gnd Kraftstoffeinsparung (DE-588)4204820-5 gnd Technische Innovation (DE-588)4431027-4 gnd Fliegen (DE-588)4017529-7 gnd Luftfahrzeugtechnik (DE-588)4036563-3 gnd |
topic_facet | Meteorology in aeronautics Aeronautics Safety measures Aircraft accidents Prevention Aeronautics Flights Airplanes Piloting Aeronautics, Commercial Emissionsverringerung Umweltverträglichkeit Flugzeug Nachhaltigkeit Luftfahrzeug Kraftstoffeinsparung Technische Innovation Fliegen Luftfahrzeugtechnik |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029243065&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029243065&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT agarwalrameshk greenaviation |
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Inhaltsverzeichnis