Scholarly record
RISK MANAGEMENT AND COSTS OPTIMIZATION IN DRILLING OF OIL WELLS BASED ON THE APPLICATION OF SMART FIELD TOOLS
Abstract
The depletion of oil fields in traditional production regions leads to the need to involve hard-to-recover reserves in the development. This, in turn, is associated with a significant increase in the cost of production. Well construction costs are subdivided into costs that depend on the time of drilling and costs that depend on the amount drilled. The article indicates that one of the main methods of reducing the cost of drilling is to increase the efficiency of productive time and reduce non-productive time in the structure of the time balance. The process of drilling wells is inextricably linked with the occurrence of various complications and accidents, which, in turn, is the cause of unproductive time and entails an increase in the cost of drilling a wellbore. The reasons leading to complications and accidents during drilling are often unaccounted for risks at the design stage. Complications and accidents during drilling should be considered as an object of risk management. The article notes that the implementation of the concept of an intelligent field is a necessary tool for optimizing production and managing risks arising during the drilling process and leading to complications. When implementing well drilling projects, pre-drilling modeling and risk analysis are highly important as one of the components of a smart field system, since they can minimize costs and reduce non-productive time. It is indicated that computer modeling and risk management and control systems, as elements of the concept of an intelligent field, are the most effective tools for solving problems of reducing the time spent on drilling wells. Such pre-drilling modeling can be performed by building 3D digital geological models. The principle of operation of the PERFORM system is given, the purpose of which, as a risk management system during drilling, is to prevent complications or reduce their impact. It was concluded that the achievement of maximum and effective results with active risk management is possible in synergy with modern technologies in the field of computer modeling, through which a geological model of the reservoir is built, then the best drilling plan is determined, and the entire cycle of work is carried out using risk control and management systems. These risk control and management systems make it possible to determine the causes of predicted complications at an early stage, which makes it possible to refine and correct the drilling plan and the built geological model, avoiding the occurrence of accidents.
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References10
Berezina AA, Cherepovitsyn AE Economic concept of oil and gas "intellectual" field // Oil industry. - 2014. - No. 14. - P.14-15.
Gazprom Neft launches a large-scale program to improve drilling efficiency [Electronic resource]. Access mode: https://rogtecmagazine.com/%D0%B3%D0%B0%D0%B7%D0%BF%D1%80%D0%BE%D0%BC-%D0%BD%D0%B5%D1 % 84% D1% 82% D1% 8C-% D0% B7% D0% B0% D0% BF% D1% 83% D1% 81% D0% BA% D0% B0% D0% B5% D1% 82-% D0 % BC% D0% B0% D1% 81% D1% 88% D1% 82% D0% B0% D0% B1% D0% BD% D1% 83 /? Lang = ru
Geological and hydrodynamic modeling of oil and gas fields: textbook / Е.А. Gladkov; Tomsk Polytechnic University. - Tomsk: Publishing house of the Tomsk Polytechnic University, 2012 - 99 p.
Annual report of PJSC NK Rosneft for 2019 [Electronic resource]. Access mode: https://www.rosneft.ru/upload/site1/document_file/a_report_2019.pdf
Kozlova D., Pigarev D. Digital oil production: tuning for the industry [Electronic resource]. Access mode: https://vygon.consulting/upload/iblock/d11/vygon_consulting_digital_upstream.pdf
Linnik Yu.V., Afanasyev V.Ya. Oil and gas complex: production, economics, management. - M .: Economics, 2017 .-- 780 p.
Complications and accidents during the construction of oil and gas wells: textbook. manual / A.P. Predein. - Perm: Publishing house of Perm. nat. issled. polytechnic University, 2014 - 381 p.
Soloviev S. From digital field to digital filling station: digitalization of oil and gas assets with Simatic WinCC Open Architecture // Control Engineering Russia, 2018, No. 2 (74), p. 76 - 79.
Project management. Complete MBA course / A. V. Polkovnikov, M. F. Dubovik - Moscow: ZAO Olimp-Business, 2013. - 552 p.: Ill.
Risk management in drilling [Electronic resource]. Access mode: https: //connect.slb.com/~/media/Files/resources/oilfield_review/russia01/spr01/drilling.pdf
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