ANALYSIS OF METHODS FOR EVALUATING THE EFFECTIVENESS OF GEOLOGICAL AND TECHNICAL MEASURES AND DECISION-MAKING FOR THEIR SELECTION: CONCEPTUAL REVIEW
GEOLOJİ-TEXNİKİ TƏDBİRLƏRİN EFFEKTLİYİNİN QİYMƏTLƏNDİRİLMƏSİ ÜSULLARININ TƏHLİLİ VƏ ONLARIN SEÇİLMƏSİ ÜZRƏ QƏRARLARIN QƏBUL EDİLMƏSI: KONSEPTUAL İCMAL
АНАЛИЗ МЕТОДОВ ОЦЕНКИ ЭФФЕКТИВНОСТИ ГЕОЛОГО-ТЕХНИЧЕСКИХ МЕРОПРИЯТИЙ И ПРИНЯТИЯ РЕШЕНИЙ ПО ИХ ВЫБОРУ: КОНЦЕПТУАЛЬНЫЙ ОБЗОР
Moldabayeva G.Zh. Abbasova S.V. Zakenov S.T. Kirisenko O.G. Iklasova J.U. Zhanturin Zh.K. Tuzelbayeva Sh.R. Wang J.
2025Geology and Geophysics Institute at Azerbaijan National Academy of Sciences (ANAS)
ANAS Transactions, Earth Sciences
2025Issue 13 - 11 pp.
The paper examines modern approaches to the selection and evaluation of the effectiveness of geological and technical measures (GTM) aimed at enhancing oil recovery and developing hard-to-recover reserves. The primary objective is to identify optimal methods that ensure high technical and economic efficiency under complex geological and operational conditions. The study analyzes traditional and modern methods for assessing GTM effectiveness, including extrapolation of basic production characteristics, analysis of oil production decline curves, and forecasting using probabilistic-statistical models. The paper emphasizes the insufficient reliability of traditional approaches due to data uncertainties, multi-criteria considerations, and the non-linear interaction of factors. A review of literature highlights the potential use of fuzzy logic, least concessions methods, cluster analysis, and expert systems, which allow accounting parameter boundary uncertainties and making more accurate decisions in the context of incomplete data. Examples of applying modern methods to various oil fields are provided. The possibility of developing integrated information systems on decision support, incorporating mathematical algorithms, databases, and predictive models, is discussed. Particular attention is given to selection of parameters to evaluate the effectiveness of measures, such as physical and geological characteristics, water cut, oil production rates, and economic indicators. The paper substantiates the necessity for further improvement of approaches to GTM evaluation and planning. It proposes the integration of modern methods for data analysis, modeling, and forecasting to enhance the reliability and accuracy of decisions, thereby contributing to the successful optimization of oil field development and risk reduction.
decision-making , forecasting , fuzzy cluster analysis , geological and technical measures , oil field
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KazNRTU named after K.I. Satpayev, 22, Satbaev str., Almaty, 050013, Kazakhstan
Azerbaijan State Oil and Industry University, 34, Azadliq ave., Baku, AZ1010, Azerbaijan
Yessenov University, Aktau, microdistrict 32, Main building Index, Aktau, 130000, Kazakhstan
Ministry of Science and Education of the Republic of Azerbaijan, Oil and Gas Institute, F.Amirov str., 9, Baku, AZ1000, Azerbaijan
Atyrau University of Oil and Gas, 45A, Baimukhanov St., Privokzalny microdistrict, Atyrau, Kazakhstan
KazNRTU named after K.I. Satpayev
Azerbaijan State Oil and Industry University
Yessenov University
Ministry of Science and Education of the Republic of Azerbaijan
Atyrau University of Oil and Gas
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