综合资产建模方法在西伯利亚西部某大油田油藏管理中的应用

T. Koshkin, Azat Firdavisovich Sayfutdinov, Viktor Aleksandrovich Kukushkin, Pavel Vladimirovich Markov
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引用次数: 0

摘要

本文回顾了LUKOIL-West Siberia LLC的一个大型油田的数字孪生模型的开发和实施。项目团队开发了一个油田开发后期的综合资产模型(IAM),用于制定管理决策以及工程和技术服务的运营工作。IAM包括水库的简化模型,井和收集系统的模型,以及工厂的简化模型。由此产生的模型可以产生关于生产水平的短期假设(长达1年),并且具有高度可持续性,本文中给出的关于IAM在各种生产任务中的应用的示例证实了这一点。开发的自动化工具可以快速做出决策,优化井库作业,并揭示井下泵送设备和计量设施的工艺参数偏差。IAM工具的使用使生产部门能够完成许多与预测油井运行模式和评估油田现有生产能力相关的应用任务。本文提出的案例为资产在其活动中应用环境管理提供了良好的实践,并可用于类似的棕地。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Integrated Asset Modeling Approaches for Reservoir Management of a Large Oil Field in Western Siberia
The article reviews the development and implementation of a digital twin for one of the large fields of LUKOIL-West Siberia LLC. The project team has developed an integrated asset model (IAM) of an oil field at a late stage of its development, which is used both for making managerial decisions and in the operational work of the engineering and technical service. The IAM includes simplified models of reservoirs, models of wells and gathering systems, as well as simplified models of plants. The resulting model can produce short-term assumptions regarding production levels (up to 1 year) and is highly sustainable, which is confirmed by the examples given in this article as to the application of IAM for various production tasks. The developed automated tools allow making prompt decisions to optimize well stock operation, as well as to reveal deviations in the process parameters of downhole pumping equipment and metering facilities. The use of IAM tools enable production functions to perform many application tasks related to forecasting well operation modes and evaluating the existing production capacities of the field. The cases presented in this paper serve as a good practice for application of the IM by assets in their activities and can be implemented for similar brownfields.
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