T. I. Sinitsyna, R. G. Gilaev, A. S. Nabiullin, M. I. Popovich, Ya. M. Kurbanov
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The data pertaining to the production history were collated and validated, while the statistical training sample was constructed in Microsoft Excel. The geological and field analysis of well data was conducted using the RN-KIN software package. The corrosion rate was simulated in Microsoft Excel using the VBA programming language. The study represents a comprehensive analysis of the production well stock, which has enabled the root causes of the emergence and development of corrosion processes to be identified. The laboratory studies resulted in numerical corrosion rates and a mathematical model that permits the consideration of the identified factors in order to assess the risks and corrosion rates in the wells. 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引用次数: 0
摘要
这项研究的主要先决条件包括萨莫特勒油田的作业油井数量减少,原因是生产链受到腐蚀性破坏,导致在修井和恢复油井完整性的工作中采油量减少。在过去五年的油田开发过程中,这种破坏的油井数量已超过一千口。 研究的主要重点是确定催化生产串金属磨损的所有影响因素,并在考虑已确定的原因来源的基础上,制定保护油井的方法。 本文设定的任务是通过应用统计分析、地质分析和油井数据现场分析来解决的。对生产历史数据进行了整理和验证,并在 Microsoft Excel 中构建了统计培训样本。使用 RN-KIN 软件包对油井数据进行了地质和现场分析。在 Microsoft Excel 中使用 VBA 编程语言模拟了腐蚀率。这项研究是对生产井库存的一次全面分析,从而确定了腐蚀过程出现和发展的根本原因。实验室研究得出了数值腐蚀率和数学模型,该模型允许考虑已确定的因素,以评估油井的风险和腐蚀率。这项研究的实际意义在于开发和引入了保护生产井井筒免受腐蚀和侵蚀影响的方法。
A case study of the Samotlor field to analyze corrosive damage of casing strings in production wells
The principal prerequisites for this study include a reduction in the number of operating oil wells at the Samotlor Field due to the corrosive destruction of production strings, which has resulted in a loss of oil recoveries during workovers and well integrity restoration efforts. The volume of such destruction over the past five years of field development has exceeded one thousand wells. The main focus of the study is to identify all the influencing factors that catalyze the wear of the production string metal, as well as to develop methods for protecting wells, taking into account the identified source of the causes. The tasks set in this article are solved by applying statistical analysis, geological analysis, and field analysis of well data. The data pertaining to the production history were collated and validated, while the statistical training sample was constructed in Microsoft Excel. The geological and field analysis of well data was conducted using the RN-KIN software package. The corrosion rate was simulated in Microsoft Excel using the VBA programming language. The study represents a comprehensive analysis of the production well stock, which has enabled the root causes of the emergence and development of corrosion processes to be identified. The laboratory studies resulted in numerical corrosion rates and a mathematical model that permits the consideration of the identified factors in order to assess the risks and corrosion rates in the wells. The practical relevance of the study lies in the methods developed and introduced to protect production strings from corrosion and erosion effects in the production well stock.