Integrated Rfid Model For Optimal Selection of Drilling Projects

α
Dr. Maki K. Rashid
Dr. Maki K. Rashid
α Sultan Qaboos University Sultan Qaboos University

Send Message

To: Author

Integrated Rfid Model For Optimal Selection of Drilling Projects

Article Fingerprint

ReserarchID

R77V3

Integrated Rfid Model For Optimal Selection of Drilling Projects Banner

AI TAKEAWAY

Connecting with the Eternal Ground
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu

Abstract

This work presents a model resolving data shortage problems when facing investment decisions in selecting drilling projects based on availability of equipments and drilling facilities. This is accomplished by enabling an environment for automatic information exchange using the technology of Radio Frequency Identification (RFID) integrated with assessments for projects net profit values. Incorporating the information technology tools facilitates the components selection and improves information retrieval efficiency for such missions especially during projects evaluation and drilling operation phase. Also, a fuzzy model is presented and convoyed with an optimization technique to take into consideration the risk of possible variation in oil prices and production cost. All these components are integrated by using information system design tools.

References

15 Cites in Article
  1. O Okereke (2011). Report on Projects & Project Management in Nigeria.
  2. H Chow,K Choy,W Lee,K Lau (2006). Design of a RFID case-based resource management system for warehouse operations.
  3. C Swedberg (2009). Drilling Company Taps RFID Benefits.
  4. I Glinz,L Berumen (2009). Optimization Model for an Oil Well Drilling Program: Mexico Case.
  5. M Kaiser (2009). Modeling the time and cost to drill an offshore well.
  6. Mark Kaiser,Allan Pulsipher (2007). Generalized Functional Models for Drilling Cost Estimation.
  7. J Dodson,T Dodson (2003). Drilling efficiency Number Static.
  8. A Idrus,M Nuruddin,M Rohman (2011). Development of project cost contingency estimation model using risk analysis and fuzzy expert system.
  9. J Williams (2009). Oil Price History and Analysis.
  10. J Williams (2011). Crude Oil, Gasoline and Natural Gas Futures Price.
  11. C Jojarth (2008). The End of Easy Oil: Estimating Average Production Costs for Oil Fields around the World, Center on Democracy, Development, and The Rule of Law-Stanford, Published by Program on Energy and Sustainable Development Working Paper.
  12. Maki Rashid,S (2005). Fuzzy algorithm and structural stiffness in error attenuation of intelligent toolpost.
  13. Alp Ustundag,Mehmet Kılınç,Emre Cevikcan (2010). Fuzzy rule-based system for the economic analysis of RFID investments.
  14. H Cho (2001). Integrated Optimization on Long Horizontal Well Length.
  15. E Bottani,A Rizzi (2008). Economical assessment of the impact of RFID technology and EPC system on the Fast Moving Consumer Goods supply chain.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Maki K. Rashid. 2011. \u201cIntegrated Rfid Model For Optimal Selection of Drilling Projects\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 11 (GJRE Volume 11 Issue J7): .

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Version of record

v1.2

Issue date

December 10, 2011

Language
en
Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

Article Matrices
Total Views: 5619
Total Downloads: 2787
2026 Trends
Related Research

Published Article

This work presents a model resolving data shortage problems when facing investment decisions in selecting drilling projects based on availability of equipments and drilling facilities. This is accomplished by enabling an environment for automatic information exchange using the technology of Radio Frequency Identification (RFID) integrated with assessments for projects net profit values. Incorporating the information technology tools facilitates the components selection and improves information retrieval efficiency for such missions especially during projects evaluation and drilling operation phase. Also, a fuzzy model is presented and convoyed with an optimization technique to take into consideration the risk of possible variation in oil prices and production cost. All these components are integrated by using information system design tools.

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Integrated Rfid Model For Optimal Selection of Drilling Projects

Dr. Maki K. Rashid
Dr. Maki K. Rashid Sultan Qaboos University

Research Journals