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Rig Data Modelling using Bayesian Networks
The operation of drilling rigs is highly expensive. It is therefore important to be able to identify and analyse factors affecting rig operations. Computational intelligence represents an opportunity to mine the data and develop models. We use a unique dataset derived from the commercial market intelligence databases assembled by ODS-Petrodata Ltd. We investigate the use of Bayesian Networks to model our dataset and approach a range of possible industry applications. Our research, in a broader scope, aims at providing business decision support based on Rig operation data modelling.
ODS-Petrodata Ltd. is delivering high-quality market intelligence, data, publications and analysis tools to the upstream oil and gas industry. They have been providing market intelligence to the upstream offshore oil and gas industry since 1973. In addition to their data, forecast and news products, ODS-Petrodata offers web-based tools for tracking and analyzing the offshore rig, field development, marine and renewable energy markets.
Knowledge Transfer Partnerships is a UK-wide programme to encourage business and knowledge base collaborations. Knowledge Transfer Partnerships help businesses and organisations to improve their competitiveness and productivity through the use of the knowledge, technology and skills that reside within academic institutions. Funded by Government organisations led by the Technology Strategy Board, Knowledge Transfer Partnerships involve the forming of a partnership between a company and an academic institute, enabling you to lead rewarding and ongoing collaborations with innovative businesses that require access to skills and expertise to help their company develop.