DEVELOPMENT OF A STATISTICAL MODEL FOR PREDICTING THE CONFIRMABILITY OF THE AMPLITUDES OF STRUCTURES PREPARED FROM THE DEPOSITS OF THE MIDDLE CARBONIFEROUS IN THE PERM REGION

V. Galkin, Anastasia S. Suvorova
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Abstract

Link for citation: Galkin V.I., Suvorova A.S. Development of a statistical model for predicting the confirmability of the amplitudes of structures prepared from the deposits of the middle carboniferous in the Perm region. Bulletin of the Tomsk Polytechnic University. Geo Аssets Engineering, 2023, vol. 334, no. 8, рр. 129-136. In Rus. The relevance of the research is caused by the requirement to maintain the confirmability of resources of category D0 with an addition to reserves of categories C1+C2 at a high level. The assessment of the resources of the prepared structures is carried out by total petroleum systems in the presence of open industrial deposits of hydrocarbons in analog fields, as well as under the condition of mapping closed amplitude structures on reflective surfaces. One of the factors influencing the decrease in the confirmability factors is the change in the structural constructions from the prospecting and evaluation to the exploration stages of geological exploration. The main aim of the research is to create, based on retrospective data, a probabilistic prediction model that allows us to determine the most reliable hydrocarbon prospecting in the context of medium-carboniferous uplift deposits within the existing fund of prepared structures, adjust the current assessment of resources of category D0 and exclude drilling of new exploration and evaluation wells within unpromising objects. Objects. The author have created the database for the research, which includes information about 125 prepared structures removed from drilling from 1997 to 2021. It includes information about the amplitudes of structures in accordance with the materials for their preparation (Ap) and according to the updating of structural constructions based on the results of deep exploration, exploration drilling, seismic exploration in open fields, etc. (Aa). The research methodology is based on the use of mathematical statistics methods. The results. The correlation analysis of the amplitudes of structures based on the materials of passports and the amplitudes of structures updated according to deep drilling data was performed. According to the results of the analysis, the correlation field was divided into two subfields between Ap and Aa. When using a detailed statistical analysis of the Aa and Ap correlations between the subfields, a boundary value of 13 m was established, which made it possible to develop an individual probabilistic linear model for predicting the confirmability of the amplitude of the structure by the values of the Ap.
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建立了预测中石炭统沉积构造振幅可确认性的统计模型
Galkin V.I., Suvorova a . s .建立了一种统计模型,用于预测从彼尔姆地区中石炭统沉积物中制备的构造振幅的可确认性。托木斯克理工大学公报。岩土工程Аssets, 2023,第334卷,第2期。8日,рр。129 - 136。俄文。研究的相关性是由于需要保持D0类资源的可确认性,并在较高水平上增加C1+C2类资源的储量。在模拟油田中存在开放的工业烃类矿床的情况下,以及在反射面上绘制封闭振幅结构的情况下,通过总石油系统对所制备结构的资源进行评估。地质勘查从找矿、评价阶段到勘查阶段,构造构造的变化是影响可证实性因子降低的因素之一。研究的主要目的是在回顾性数据的基础上,建立一个概率预测模型,使我们能够在现有的准备构造基金中确定最可靠的中石炭系隆起矿床的油气勘探,调整目前对D0类资源的评估,并排除在没有前景的目标中钻探新的勘探和评价井。对象。作者为研究创建了数据库,其中包括1997年至2021年从钻井中移除的125个预制结构的信息。它包括根据构造的制备材料(Ap)和根据深部勘探、勘探钻井、野外地震勘探等结果对构造进行更新(Aa)而得到的构造振幅信息。研究方法以数理统计方法为基础。结果。基于护照材料的结构振幅与根据深钻数据更新的结构振幅进行了相关性分析。根据分析结果,将相关场划分为Ap和Aa之间的两个子场。当对子场之间的Aa和Ap相关性进行详细的统计分析时,建立了一个13 m的边界值,这使得可以建立一个单独的概率线性模型,用于预测Ap值对结构振幅的可证实性。
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CiteScore
1.40
自引率
50.00%
发文量
210
审稿时长
5 weeks
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