The Management of Oil Industry Exploration & Production Data

Who are we? Purchase Options - B&W USA/World - B&W UK - B&W Germany - B&W France - Color USA/World - Color UK - Color Germany - Color France
1 Introduction 12 Physical data
2 Value of data 13 Documents
3 Subsurface data 14 Auditing
4 Current practice 15 Quality
5 DMBoK 16 Other elements
6 Governance 17 Assessing
7 Architecture 18 Glossary
8 Development 19 Figures
9 Operations 20 Bibliography
10 Security 21 Index
11 Corporate data 22 Further info
Upcoming events New articles Extra material Links
Sample chapter Figures Bibliography Extra material Historical Papers

15 Data Quality

Data quality has a significant impact on corporate results. In addition to the fact that poor quality data is more expensive to manage, a more significant impact comes from the fact that misunderstanding the key subsurface features increases the risk of unwelcome outcomes.

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A color PDF file containing the figures from this chapter can be downloaded from here for private study  

New Material

Since the book was written we have identified a number of new items that help illuminate the material in Chapter 15:

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New Item 15.8
Doing a good job with data quality requires a wide range of concepts
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New Item 15.7
When documenting quality rules both the intent and the implementation should be available
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New Item 15.6
ETL article on Data Quality in Oil and Gas
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New Item 15.5
Gartner study on measuring the impact of data quality
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New Item 15.4
AHIMA (2012) "Data Quality Management Model (Updated)" Journal of AHIMA 83, no.7 (July 2012)
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New Item 15.3
Once data is corrupted it can only be fixed if the system has redundancy
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New Item 15.2
A review of data quality dimensions as defined by various authors
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New Item 15.1
A short article about data quality dimensions, and how they relate to fish and ska music


In the book Chapter 15 contains references to the following related material:

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Book Ref 41
Turner, N. Harvey, N. & Husband, Z. (2012) "Successfully selling the case for data quality" presented at the UK DAMA meeting
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Book Ref 42
Curtis, T. (2009) "Business Rules & Data Quality" presented at PNEC
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Book Ref 43
Radhay, R. (2008) "Facilitating Data Quality Improvement in the Oil and Gas Sector" SPE Asia Pacific Conference - Perth
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Book Ref 44
Duller, P.R. (1995) "The quality assurance of geological data" from Giles, J. R. A. (ed.) 1995, Geological Data Management, Geological Society Special Publication No 97

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