Oil and gas well repair analysis technique based on data mining in management

One of the most important steps to increase profits in oil production is not only investment in equipment, exploration and discovery of new fields, but also analytics. The efficiency of oil and gas production in existing fields can be improved through a comprehensive analysis of the existing data stream. Monitoring of oil and gas production and preventive maintenance of wells involve the collecting and processing of data on the functioning of wells. Such data are not always sufficient for making accurate decisions on well repair management. A number of problems cannot be identified due to the scarcity of information, and therefore the efficiency of the decisions is reduced. Well repair monitoring using data mining performs a number of functions. Firstly, it determines the status of critical well repair conditions for which an action plan will be developed. Secondly, it provides management with feedback by identifying the causes of past positive and negative results. The article proposes an oil and gas well repair analysis technique based on data mining with the aid of repair sequential pattern mining in management. The technique was tested in the oil and gas company Gazpromneft on oil and gas well repair data of Gazpromneft-Noyabrskneftegaz community field.

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