Proceedings of the
International Conference on Mechanical Engineering 2009
(ICME2009) 26- 28 December 2009, Dhaka, Bangladesh

ICME09-FM-02

PREDICTION OF STANDPIPE PRESSURE USING REAL TIME
DATA

Dipankar Chowdhury1, Pål Skalle1 and Mahbubur Rahman2
1Department of Petroleum Engineering and Applied Geophysics,
Norwegian University of Science & Technology, NO- 7491, Trondheim, Norway
2Department of Petroleum and Mineral Resources Engineering,
Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh

ABSTRACT

Standpipe pressure (SPP) represents the total frictional pressure drop in the hydraulic circuit used for rotary drilling operation. Conventional approach for SPP calculation is based on a number of simplifying assumptions that cannot be realized in real drilling operation. Hence the conventional approach does not produce SPP estimates with sufficient accuracy. The limitations of conventional approach led to the development of alternative methods for SPP estimation using real time data. In this paper, SPP was estimated by regression models and by instance-based reasoning (IBR) models using real time data collected while drilling a deviated well in the North Sea. These models were developed using mud flow rate and bit measured depth as independent parameters. For the real time data considered in this paper, the IBR models produced much better SPP estimates than the regression models.

Keywords: Standpipe pressure, Regression, Instance-based reasoning, Real time drilling data.

Click here to download full report.