Artificial intelligence as a tool for evaluating the efficiency of innovative technologies for hard-to-recover reserves development

IF 0.4 Q4 ECONOMICS
M. Chernyaev, T. Mazurchuk, Aleksandra A. Boiko
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引用次数: 0

Abstract

The possibility of artificial intelligence use for improvement of efficiency of development of hard-to-recover reserves in Russian oil and gas complex are considered in research article. The share of hard-to-recover reserves increases annually in cumulative oil production in the territory of the Russian Federation, therewith ups and downs of prices for oil well-known brands increase the risks of unforeseen costs and material losses when developing new reserves, that is why the authors establish a goal to analyze the efficiency of geological exploration and development of oil hard-to-recover reserves using artificial intelligence technologies and also based on the calculation of a comparative model for assessing the use of artificial intelligence on groups of fields of the Bazhenov formation. Artificial intelligence can have a beneficial effect on decrease of human error risk when selecting potential cased holes and facilitate in choosing the best methods of development and feed production stimulation. As a result of the comparative assessment of the return on investment in the development of wells using artificial intelligence and traditional technologies, the advantages and disadvantages of AI technologies were identified in the context of increasing the economic efficiency of hard-to-recover oil production.
人工智能作为评估难采储量开发创新技术效率的工具
本文探讨了人工智能在提高俄罗斯油气复合体难采储量开发效率中的应用可能性。难以开采的储量在俄罗斯联邦境内累计石油产量中所占的份额每年都在增加,因此,随着知名品牌石油价格的起伏,在开发新储量时增加了不可预见的费用和物质损失的风险。这就是为什么作者建立了一个目标,利用人工智能技术来分析难以开采的石油储量的地质勘探和开发效率,并基于一个比较模型的计算来评估人工智能在Bazhenov组油田上的应用。人工智能可以在选择潜在套管井时减少人为错误风险,并有助于选择最佳的开发和增产方法。通过对使用人工智能和传统技术开发油井的投资回报率进行比较评估,确定了人工智能技术在提高难以开采的石油生产的经济效率方面的优势和劣势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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审稿时长
4 weeks
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