The Development of Automatic System for Geological Modeling of Extra-Viscous Oil Deposits on the Example of Tatarstan Republic

T.A. Murtazin, S. Usmanov, M. Validov, V. Sudakov, Aidar Takhauv, N. Aslyamov, Vitaliy Gataullin, M. Amerkhanov
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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.
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特粘油藏地质建模自动化系统的开发——以鞑靼斯坦共和国为例
鞑靼斯坦共和国的碳氢化合物储量中有很大一部分属于重质超粘油。目前,由于油价上涨,这些矿床的开发是一项实际任务。近几十年来,开发规划传统上包括建立三维油藏模型。传统的方法还包括数据质量控制、测井解释(确定地层和计算储层属性)、构建三维网格并填充属性。同时,信息技术和人工智能的积极发展使得一些常规流程的自动化成为可能。这项工作的目的是在一个数字平台下创建一个软件算法链,用于自动化构建超粘性油(以下简称UVO)矿床地质模型的过程,并以鞑靼斯坦共和国为例计算储量。本文介绍了在构建UVO沉积模型时解决地质学家部分常规任务的一般方法。需要解决的任务包括地层边界定义、岩心-测井匹配、井的储层性质计算以及考虑地面约束的OWC位置和附加井的布置的自动化。本工作中提出的方法是在鞑靼斯坦共和国UVO矿床的例子上发展起来的,但是,所使用的原则可以通过修改所使用的特征转移到类似的对象上。
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