The Significance of Using Geological and Geomechanical Data in Selection of Optimal Bits

- Organization:
- Canadian Institute of Mining, Metallurgy and Petroleum
- Pages:
- 9
- File Size:
- 667 KB
- Publication Date:
- Jan 1, 2015
Abstract
"Selection of an optimal bit is a critical issue in drilling engineering. Specific energy (SE) and Cost per Foot (CPF) are the most common methods for evaluation of bit efficiency and optimal bit selection. The major shortfall of both methods is that they do not directly account for geological and geomechanical parameters of formations being drilling. In this paper, results of using the two foregoing methods are compared using Formation Drillability (FD) method, which directly accounts for geological and geomechanical parameters of a formation. This method combines various geological and geomechanical parameters and yields a dimensionless parameter indicating the formation drilling hardness (drillability). Results of this study show that the amount of energy, cost and time spent for drilling a unit volume / length of an identical formation may vary in different wells. This is due to the fact that geological and geomechanical characteristics of a formation may vary among wells and even within short intervals of a single well. Therefore, an optimal bit may not be appropriately selected, if drilling and economical parameters are the only factors considered and the formation geological and geomechanical specifications are ignored.INTRODUCTIONMany authors such as Bilgesu, Al-Rashidi, Aminian, and Ameri (2000) and Clegg (2006) conducted research in the evaluation of bit performance and optimum bit selection. Almost all of them tried to establish a good relationship based on geomechanical parameters. Primary examples are the research done by Ubaldi (1999), Macini, Magagni, Da Dalt, and Valente (2007)."
Citation
APA:
(2015) The Significance of Using Geological and Geomechanical Data in Selection of Optimal BitsMLA: The Significance of Using Geological and Geomechanical Data in Selection of Optimal Bits. Canadian Institute of Mining, Metallurgy and Petroleum, 2015.