@article{article_661153, title={The operational modeling of oil fields by mathematical methods of cluster analysis of facies sediments}, journal={Yerbilimleri}, volume={42}, pages={41–51}, year={2021}, DOI={10.17824/yerbilimleri.661153}, url={https://izlik.org/JA25GZ32HU}, author={Chudinova, Daria}, keywords={Kümeleme, Yöntem, Hazne kaya, Model, Algoritma}, abstract={<p>In this work, we describe the technique of expeditious modeling of deposits of oil with use of facies and facial heterogeneity during creation of geological and hydrodynamic model. Expeditious diagnosing of facial deposits is based on a mathematical method of a clustering by an algorithm, namely k-means. In this work, merits and demerits of this method and a way of its calculation for differentiation and subsequent grouping of wells with various data are specified. An object of this research is the terrigenous layer of the large-scale deposit of Western Siberia of Early Cretaceous age. In the facial relation, a layer was created in a transitional situation of sedimentation and includes deposits of both sea and transitional geneses. The research was conducted on 900 wells of layer collector, according to geophysical research curves SP, αsp, with control under the curve of GR log. </p> <p>By results of the cluster analysis, several groups, excellent in the form of curves obtained from geophysical surveys have been allocated. With the comparison of the allocated groups with given logging received as a result of a clustering with standard forms of curves according to Muromtsev facial deposits of the beach, a gully of strong currents, alongshore gullies, the top part of a prefrontal zone of the beach, transgressive shaft of a prefrontal zone, the lower part of a prefrontal zone of the beach, underwater shaft of a prefrontal zone of the beach, alongshore bars have been allocated. The obtained data have been correlated to their original distribution and the received distribution does not contradict features of sedimentation of this region. <br />Expeditious diagnosing of facial deposits by means of the cluster analysis allows to estimate more competently the provision of a collector of geological model and to predict petrophysical properties and features of layer, to exclude subjective mistakes of the expert and to lower assessment time during the work with a large number of data.  <br /> </p>}, number={1}, organization={This work was supported by the Ministry of Science and Higher Education of the Russian Federation under agreement No. 075-15-2020-900 within the framework of the development program for a world-class Research Center.}