CREATION OF AN ALGORITHM FOR THE IDENTIFICATION OF ANALOGOUS OBJECTS IN CARBONATE RESERVOIRS OF THE VOLGA-URAL OIL AND GAS PROVINCE

L. Kuleshova, R. V. Vafin, R. A. Gilyazetdinov, V. V. Mukhametshin, R. Yakupov, Z. N. Sagitova
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Abstract

For the conditions of deposits confined to the carbonate reservoirs of the Volga-Ural oil and gas province, an algorithm for searching for analogous objects based on the identification procedure is proposed. The principal boundaries of the search for analogous objects confined to various stratigraphic systems have been established through a comprehensive analysis of geological and commercial data. The significant influence of tectonic confinement on the formation of the features of the geological structure of deposits and their distribution in the axes of canonical discriminant functions is shown. The presence of uncertainty in the separation of objects using the tectonic factor is explained by the similarity of objects in the marginal zones of adjacent tectonic elements in both terrigenous and carbonate reservoirs, which in turn must be taken into account when implementing key aspects of field development design. During the simulation, a certain similarity of individual deposits in the carbonate reservoirs of the carboniferous system was established, confined not only to various tectonic elements, but also to various stratigraphic complexes, which makes it possible to expand the search for analogous objects and the possibility of solving various development management tasks in conditions of deterioration of the structure of oil reserves and low technical and technological indicators of well operation. When using pattern recognition methods, in particular, discriminant analysis, dependencies were obtained that make it possible to successfully adapt the accumulated experience of developing an object to other objects while maintaining a high level of compliance with the logical aspects of hydrodynamics and physics of reservoir systems. Further development of the algorithm presented in the work lies in the plane of using a minimum number of parameters for analysis, ensuring a high percentage of separation of objects, taking into account the heterogeneity of their values.
在伏尔加-乌拉尔石油天然气省碳酸盐岩储层中建立一种类似物识别算法
针对仅限于伏尔加-乌拉尔石油天然气省碳酸盐岩储层的矿床条件,提出了一种基于识别程序的类似物搜索算法。通过对地质和商业数据的综合分析,确定了在不同地层系统中寻找类似物的主要界限。说明了构造限制对矿床地质结构特征的形成及其在典型判别函数轴上的分布的重要影响。在使用构造因素分离物体时存在不确定性,这是因为在陆相和碳酸盐岩储层中,相邻构造要素边缘区的物体具有相似性,而在实施油田开发设计的关键环节时必须考虑到这一点。在模拟过程中,确定了石炭系碳酸盐岩储层中单个矿床的某种相似性,这种相似性不仅局限于各种构造要素,还局限于各种地层复合体,这使得在石油储量结构恶化、油井作业技术和工艺指标较低的条件下,有可能扩大寻找类似物的范围,并有可能解决各种开发管理任务。在使用模式识别方法,特别是判别分析方法时,获得了依赖关系,从而有可能成功地将开发对象的累积经验与其他对象相适应,同时保持与油藏系统的流体力学和物理学逻辑方面的高度一致。工作中提出的算法的进一步发展在于使用最少数量的参数进行分析,确保高比例的对象分离,同时考虑到其值的异质性。
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