Vladimir Nickolayevich Kozhin
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Aleksey Anatolevich Patorov
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Evgeniy Alekseevich Lunin
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Kamil Rafikovich Davletov
Abstract
Drilling is traditionally considered as one of the most challenging and expensive areas in oil and gas industry, and its efficiency, against the background with the of unstable forecast in current situation with growing oil prices, both defines the efficiency of capital investments at well construction stage and the cost of production as a whole. Changing drilling conditions, such as well depths, their complicated architectures due to reservoir depletion and their complex localization conditions, pose the task of attracting advanced technologies aimed at modifying the labor process, reduction in costs and increase in production efficiency ("GazpromNeft", 2015). However, not all such procedures are mass-produced due to high price that you need to pay for them, as well as possible limitations of obtaining these technologies. There is a need to implement the tasks in short term with the available resources without involving any expensive equipment and additional personnel (Litvinenko et al., 2017). This opportunity is opened by effective data management in the progress of well construction as well as in information and analytical supporting tools that allow you to receive, process and control this data in a short time and to take the appropriate management decisions based on it (Ivanov, 2017).
Of course, one of the foundations in the controlling over the industrial processes is the reference book of time standards to perform basic operations in drilling and casing the wells (Unified Time Regulations in Process, 1987), which is mainly aimed at preventing unjustified costs during the process of well construction (excess time), planning the duration of operations, conducting procedures to select the applicants for work.