Publication Type : Journal Article
Thematic Areas : Wireless Network and Application
Publisher : Minerals, Multidisciplinary Digital Publishing Institute.
Source : Minerals, Multidisciplinary Digital Publishing Institute, Volume 8, Issue 9, p.384 (2018)
Url : https://www.mdpi.com/2075-163X/8/9/384/htm
Keywords : Heterogeneity, hidden Markov model, measurement while drilling, optical televiewer, rock classification.
Campus : Amritapuri
School : School of Engineering
Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)
Department : Wireless Networks and Applications (AWNA)
Year : 2018
Abstract : Measurement while drilling (MWD) data are gathered during drilling operations and can provide information about the strength of the rock penetrated by the boreholes. In this paper MWD data from a marble open-pit operation in northern Norway are studied. The rock types are represented by discrete classes, and the data is then modeled by a hidden Markov model (HMM). Results of using different MWD data variables are studied and presented. These results are compared and co-interpreted with optical televiewer (OTV) images, magnetic susceptibility and spectral gamma values collected in the borehole using down-the-hole sensors. A model with penetration rate, rotation pressure and dampening pressure data show a good visual correlation with OTV image for the studied boreholes. The marble class is characterized by medium penetration rate and medium rotation pressure, whereas the intrusions are characterized by low penetration rate and medium to high rotation pressure. The fractured marble is characterized by high penetration rate, high rotation and low dampening pressure. Future research will use the presented results to develop a heterogeneity index, develop an MWD-based 3D-geology model and an improved sampling strategy and investigate how to implement this in the mine planning process and reconciliation.
Cite this Research Publication : Veena Vezhapparambu, Eidsvik, J., and Ellefmo, S. L., “Rock classification using multivariate analysis of measurement while drilling data: Towards a better sampling strategy”, Minerals, vol. 8, no. 9, p. 384, 2018.