The main motivation for storing drilling data is to use them for post-analysis and efficient planning. Conventional drilling data storage systems often exhibit two major shortcomings that make such use difficult: In the first place, the data is often stored with depth as the primary key. Such a depth-based storage strategy may cause loss of valuable data if the depth is miscalculated at the time of recording, or when there is no steady depth progression. It also makes it difficult to analyse situations where the depth is set backwards due e.g. to sidetracking or to drilling of cement. Another problem is the amount of data collected during a drilling operation. This soon becomes unmanageable if there is no structured way of extracting information from such data.
This paper outlines a database model for drilling data storage, which aims at providing a high degree of data availability for efficient post-analysis. It also suggests an organisational model that should be adhered to in order to utilise the database efficiently.