T.A. Murtazin, S. Usmanov, M. Validov, V. Sudakov, Aidar Takhauv, N. Aslyamov, Vitaliy Gataullin, M. Amerkhanov
{"title":"The Development of Automatic System for Geological Modeling of Extra-Viscous Oil Deposits on the Example of Tatarstan Republic","authors":"T.A. Murtazin, S. Usmanov, M. Validov, V. Sudakov, Aidar Takhauv, N. Aslyamov, Vitaliy Gataullin, M. Amerkhanov","doi":"10.2523/iptc-22175-ms","DOIUrl":null,"url":null,"abstract":"\n A significant part of the hydrocarbon reserves in the Republic of Tatarstan belongs to heavy ultra-viscous oil. At the moment, due to the oil price rise, the development of these deposits is an actual task.\n In the recent decades, development planning has traditionally included the creation of three-dimensional reservoir models. The approaches that are also used are traditional and include data quality control, well log interpretation (determination of stratigraphy and calculation of reservoir properties), construction of a three-dimensional grid and filling it with properties.\n Meanwhile, the active development of information technology and artificial intelligence makes it possible to automate some of the routine processes. The purpose of this work is to create a chain of software algorithms combined under a digital platform for automating the process of constructing a geological model of ultra-viscous oil (hereinafter, UVO) deposits and calculating reserves on the example of the Republic of Tatarstan.\n The paper presents the general approaches that made it possible to solve part of the routine tasks of a geologist when constructing UVO deposit models. The tasks to be solved included the automation of stratigraphic boundaries definition, core-log matching, calculation of reservoir properties for wells, as well as determination of OWC position and placement of additional wells taking into account surface constraints. The approaches presented in this work are developed on the example of the UVO deposits of the Republic of Tatarstan, however, the principles used can be transferred to similar objects with the modification of the features used.","PeriodicalId":11027,"journal":{"name":"Day 3 Wed, February 23, 2022","volume":"5 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 3 Wed, February 23, 2022","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2523/iptc-22175-ms","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A significant part of the hydrocarbon reserves in the Republic of Tatarstan belongs to heavy ultra-viscous oil. At the moment, due to the oil price rise, the development of these deposits is an actual task.
In the recent decades, development planning has traditionally included the creation of three-dimensional reservoir models. The approaches that are also used are traditional and include data quality control, well log interpretation (determination of stratigraphy and calculation of reservoir properties), construction of a three-dimensional grid and filling it with properties.
Meanwhile, the active development of information technology and artificial intelligence makes it possible to automate some of the routine processes. The purpose of this work is to create a chain of software algorithms combined under a digital platform for automating the process of constructing a geological model of ultra-viscous oil (hereinafter, UVO) deposits and calculating reserves on the example of the Republic of Tatarstan.
The paper presents the general approaches that made it possible to solve part of the routine tasks of a geologist when constructing UVO deposit models. The tasks to be solved included the automation of stratigraphic boundaries definition, core-log matching, calculation of reservoir properties for wells, as well as determination of OWC position and placement of additional wells taking into account surface constraints. The approaches presented in this work are developed on the example of the UVO deposits of the Republic of Tatarstan, however, the principles used can be transferred to similar objects with the modification of the features used.