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Quest for Quality Data


Authors : THEYS Philippe

THEYS Philippe

Graduate Engineer from Ecole Centrale de Paris
BS in Economics.
MS in Plasma Physics
 
Consultant in Data Quality with Anadarko, Chevron, ConocoPhillips, ETAP, Marathon Oil, Occidental and Statoil.
 
Field of publication:
Log interpretation and acquisition
 
Author of numerous scientific articles, mainly in English, but also in Russian, French and Japanese.
The main publications:
- Quest for Quality Data (Ed. Technip)
- Log Data Acquisition and Quality Control (Ed. Technip)
- Litho Density Logging (Schlumberger)
- Nuclear Magnetic Resonance Logging (Schlumberger)
- CSU Reference Manual (Schlumberger)
- MAXIS Reference Manual (Schlumberger)
- Anadrill Reference Manual 96 (Schlumberger)
- Anadrill Reference Manual 98 (Schlumberger)
 
President of SPWLA (Society of Petrophysicists and Log Analysts) 2000-2001
President of SAID (Société d’Avancement de l’Interprétation de la SAID).
Associate Editor of the magazine Petrophysics. Founder and writer of "Le Log."


ISBN : 9782710809647
trade paperback      17 x 24 cm      270 pages
Publication date : February 2011

American buyersAmerican buyers
Around the book


The Digital Oilfield is the buzzword of the oil industry in these early years of the 21st century.
Data swiftly flows to databases, moves around the world at the speed of light and can be exchanged seamlessly between all stakeholders. From time to time, for good housekeeping, data is cleansed. Many people are involved in these intermediate or final steps.
But, who cares about the real sources of oilfield data, seismic profiles, wirelines and LWD logs, drilling data and core measurements? This book expresses the real concerns about input data. It explains the inherent weaknesses of the oilfield data acquisition processes and gives recommendations on how to improve them. This quest goes through the paths of uncertainty management and elucidates the important role of the field engineers.


Contents :


1. Introduction. Part 1. Why measurements differ from reality. 2. Setting the problem with simple examples. 3. All well measurements are indirect. 4. Logging measurements do not focus on zones of interest. 5. Measurements are imprecise and inaccurate. 6. How measurements can suffer from human bias. 7. Complexity. 8. Complication. 9. WYSINWYTII. 10. Misconceptions. Part 2: Quest for quality data. 11. The different uses of logging data. 12. Brochure Specifications. 13. Quest for uncertainties: From brochure specifications to real uncertainties. 14. Deliverables. 15. Depth. 16. Hidden Treasures. 17. Contribution of the field engineer to the quality of data. 18. Drilling data. 19. Coring data. 20. Conclusions and recommendations.

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