Kazakhstan journal for oil & gas industryKazakhstan journal for oil & gas industry2707-42262957-806XKMG Engineering10894710.54859/kjogi108947Research ArticleDevelopment of an automated module for assessing the management reserve for contingencies in oil and gas construction planningChizhikovSergey V.s.chizhikov@ingenix-group.ruhttps://orcid.org/0009-0004-3662-7216DubovitskayaYekaterina A.<p>PhD</p>e.dubovitskaya@ingenix-group.ruhttps://orcid.org/0009-0000-7303-7750AkhmetovRustem N.r.akhmetov@ingenix-group.ruhttps://orcid.org/0009-0003-1981-2375KadyrovaSatya D.s.kadyrova@ingenix-group.ruhttps://orcid.org/0009-0008-0628-0206Ingenix Group01042026811131220202202617032026Copyright © 2026, Chizhikov S.V., Dubovitskaya Y.A., Akhmetov R.N., Kadyrova S.D.2026<p><strong>Background:</strong> Existing Russian and international principles for establishing management reserves for contingencies (hereinafter – MRC) in capital construction planning within the oil and gas sector differ significantly. The authors propose their own methodology for assessing the MRC and describe a calculation algorithm based on an automated risk management module developed by Ingenix Group LLC using this methodology.</p> <p><strong>Aim:</strong> The aim of this work is to provide a more accurate accounting of risks in the evaluation of oil and gas projects, taking into account the project implementation stage and the complexity of capital construction facilities.</p> <p><strong>Materials and methods: </strong>The methodology is based on a synthesis of international practices, including the classification of the Association for the Advancement of Cost Engineering International (hereinafter – AACEI) and the recommendations of the U.S. Department of Energy (hereinafter – DoE), as well as Russian regulations. The authors propose adapting the DoE contingency reserve ranges to the AACEI accuracy classes and applying them at the individual project level, aligning them with Russian design stages. The automated MRC assessment module is implemented as part of the proprietary Ingenix Cost Manager® software suite for evaluating costs of oil and gas projects.</p> <p><strong>Results:</strong> The article provides detailed information and recommendations on the size of the MRC depending on the project stage (feasibility study, design documentation, etc.) and the complexity class of the facility. The methodology has been tested on a real project, demonstrating the feasibility of calculating a justified total contingency reserve for the project.</p> <p><strong>Conclusion:</strong> The proposed methodology facilitates a quantitative assessment of the MRC at different project stages, considering the specific characteristics and complexity of each facility. This approach helps mitigate the risk of underfunding and enhances the likelihood of compliance with the budget and achievement of the project’s targeted profitability. The automated assessment module enables rapid calculations using all available project data and ensures accurate incorporation of the MRC in evaluating the construction costs of facilities.</p>сontingencyreservedevelopment of an oil and gas fieldpre-project cost estimatecapital investmentscost modelcost databasesrisk managementmanagement reserveкүтпеген шығыстаррезервмұнай-газ кен орнын жайластырушығындарды жобалау алдындағы бағалаукүрделі салымдарқұн моделішығындар бойынша деректер базасытәуекелдерді басқарубасқару резервінепредвиденные расходырезервобустройство нефтегазового месторожденияпредпроектная оценка затраткапитальные вложениястоимостная модельбазы данных по затратамуправление рискамиуправленческий резерв1.Chizhikov SV, Dubovitskaya EA, Akhmetov RN, Pushkina RO. Assessment of contingency CAPEX for construction of oil and gas facilities depending on their stage and complexity: theory and practice. Oil Industry. 2022;6:82–86. doi: 10.24887/0028-2448-2020-6-82-86.2.Chizhikov SV, Dubovitskaya EA, Pashchenko AD. Problems and proposed solutions for oil and gas projects cost estimation in Russia. Oil Industry. 2013;9:92–95.3.Chizhikov SV, Dubovitskaya EA. Pre-FEED CAPEX evaluation in oil&gas upstream: analyzing effectiveness of integrated technical and economic modelling approach. Oil Industry. 2021;4:10–16. doi: 10.24887/0028-2448-2021-4-10-16.4.Kokhanovskyi VA, Sergeyeva MK, Komakhidze MG. System Complexity Index. Advanced Engineering Research (Rostov-on-Don). 2012;4(65):22–26.