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Please use this identifier to cite or link to this item: http://hdl.handle.net/1812/984

Title: Managing and sharing of drilling data using grid technology
Authors: Miftah Arfan Said
Keywords: Drilling operation
Data Grid
Grid technology
Drilling process
Issue Date: Feb-2011
Publisher: University Malaya
Abstract: Drilling activities are crucial processes, regardless of their objectives, whether for energy exploration, tunnelling, constructions or other reasons. In the oil and gas exploration business, the acquisition of drilling parameter data is vital to obtain important information. With this data, the stakeholders in drilling operation can acquire information regarding the driller torque, rock characterization and other necessary information to help in the drilling task. The nature of drilling operations and the technologies used, make the amount of data available substantial and these drilling parameter datasets tend to be dispersed geographically and logically. Moreover, the data is often under the safekeeping of different custodians. As such, a new technology with a mechanism that can help drillers overcome these challenges is needed to be implemented in this environment. Data Grid, one of the diversions of the Grid technology, has the potential to support full interoperability of diverse and distributed data collections to allow users in a single context to have access to the wealth of drilling-related data held in various remote centres. The ultimate goal of this research is the implementation of the Data Grid infrastructure to enhance the processing, management and sharing of drilling parameter data. In order to implement the Data Grid technology in this field, a prototype has been developed to carry out the test in managing the data. Based on the conducted test in this study, the Data Grid technology promises a new level of data management for massive and distributed data.
Description: Dissertation (M.C.S.) -- Faculty of Computer Science & Information Technology, University of Malaya, 2011.
URI: http://dspace.fsktm.um.edu.my/handle/1812/984
Appears in Collections:Masters Dissertations: Computer Science

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