МЕТОДИКА И ПРИНЦИПЫ РАНЖИРОВАНИЯ МЕСТОРОЖДЕНИИ ПРИРОДНОГО ГАЗА АКВАТОРИИ АЗОВСКОГО МОРЯ
Authors: Колос Э.М. , Добронравов А.С. 
Published: December 2024

Азово-Черноморский нефтегазоносный регион характеризуется высоким уровнем хозяйственного освоения прилегающих территорий, благоприятствующими природными условиями и техническими возможностями для реализации проектов освоения углеводородных ресурсов. Поисково-разведочное бурение в акватории характеризуется высоким коэффициентом успешности (0,7 за весь период изучения), в рамках проведенных работ был открыт ряд месторождений, характеризующихся преимущественно газоносностью. Участниками работы поставлена цель разработки метода ранжирования нефтегазоносных объектов акватории Азовского моря их оценки с позиции целесообразности дальнейшей разработки и освоения. В рамках исследования предложен экспресс-метод оценки целесообразности газовых залежей на основе данных, полученных при поисково-разведочном бурении. При разработке алгоритма установлены следующие требования: применимость результатов для сравнительного анализа, приведение разнородных данных к общим критериям, упрощение процедуры ввода и анализа выходных показателей. На основе поставленных задач разработан программный комплекс на языке программирования Python, в основе которого заложен алгоритм анализа численных характеристик и преобразования их в дискретные величины, представляющие собой индексы от 0 до 1. Полученные результаты соответствуют данным опытно-промышленной разработки месторождений, таким образом, алгоритм применим для обобщенной экспресс-оценки нефтегазоносных регионов и выведения общих закономерностей и особенностей.

Relevance: The Azov-Black Sea oil and gas bearing region is characterized by a high level of economic development of adjacent territories, favorable natural conditions and technical capabilities for implementation of hydrocarbon resource development projects. Exploratory drilling in the water area is characterized by a high success rate (0.7 for the entire study period), and a number of fields characterized predominantly by gas content have been discovered. The participants of the work set a goal to develop a method of ranking oil and gas bearing objects of the Azov Sea water area for their assessment from the position of feasibility of further development and exploration. Within the framework of the research an express-method of assessment of feasibility of gas deposits on the basis of data obtained during prospecting and exploration drilling was proposed. When developing the algorithm the following requirements were established: applicability of the results for comparative analysis, bringing heterogeneous data to common criteria, simplification of the procedure of input and analysis of output indicators. On the basis of the set tasks, a software package was developed in the Python programming language, which is based on an algorithm for analyzing numerical characteristics and converting them into discrete values representing indices from 0 to 1. The obtained results correspond to the data of pilot field development, thus, the algorithm is applicable for generalized express assessment of oil and gas bearing regions and derivation of general regularities and peculiarities. Goal - the purpose of the study was to implement an algorithm that allows express assessment of oil and gas bearing regions based on exploratory drilling data. Research methods: In order to obtain geological information, a bibliographic analysis of available publications in the field was carried out. The data processing algorithm was introduced in the form of a program complex in the Python programming language. The following were selected as initial characteristics: balance reserves, gas flow rates, depth of occurrence, and reservoir rock parameters Results of the work and discussion: The objects already in pilot development or prepared for it are identified as promising. At the same time, the group of fields with complex geological conditions, whose reserves are classified as off-balance sheet, is classified as inexpedient for development. The group of conditionally promising is characterized by fields with small balance reserves, whose development should be further justified by the results of surveys and analysis of their geological characteristics. Based on the results, we can conclude that the methodology is applicable to the analysis of both open fields and surface and generalized assessment of the feasibility of work on prospective areas. The relative homogeneity of the data mentioned above contributes to narrowing the range of values and refining the combined assessment. This fact also indicates the applicability of the algorithm for the assessment of other oil-and-gas-bearing areas of the Azov-Black Sea region and southern Russia, characterized by large accumulations of small fields and oil-and-gas-bearing structures with similar structure and properties.