剩余油气储量的定位和开采计划

A. Aslanyan, A. Y. Popov, I. Zhdanov, E.S. Pakhomov, Nikolay Petrovich Ibryaev, Maksim Aleksandrovich Kuznetsov, V. Krichevsky, M. Garnyshev, R. Guss
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引用次数: 0

摘要

本文介绍了西伯利亚西部一个30年历史的成熟大油田的60多个井区块的研究项目结果,目的是确定剩余可采储量的局部和特征,并提出进一步枯竭的最佳经济方案。低渗透率、非均质储层结构、生产井大量水力诱导裂缝和注入井大量具有动态特性的自发裂缝,再加上几乎每口井都存在大量套管后横流,使得剩余储量条件十分复杂。传统的生产分析和监测方法(试井和生产测井)不能提供剩余储量的当前分布和状况的一致图像,需要更深入、更复杂的分析。开发机会管理工作流程被选择用于这项特殊的整体研究,其中包括一系列相互关联的研究、现场监测、地质和流动建模,并最终以基于数字资产双胞胎的油田开发规划为基础。(Ganiev, B., 2021)基于该工作流程的结果构建了数字资产孪生模型,包括全范围经济模型、经过彻底校准的细网格三维动态模型的流动模拟和生产复杂性模型(裂缝和套管后窜流的动态行为)。3D模型已经根据井间压力脉冲监测和面向储层的生产测井结果进行了校准,并通过过渡井的钻井结果进行了验证。利用数字资产孪生模型,在数字助理的帮助下,基于多元计算找到最优投资方案。由于用户界面和客户端-服务器设计的简单性,数字孪生模型可供各种公司的工程师和管理人员使用,他们没有任何建模技能,可以在可能的生产/投资场景中发挥自己的想法,从而为最终的油田开发计划提供另一个层面的验证。在数字孪生中进行的所有活动都会自动生成一个完整的投资指标包(NPV, PI, IRR, MIRR,现金流和许多相关图),以评估每个包的经济效率,并为进一步的最终选择选择最合适的解决方案。该方案是基于在特定位置/轨迹钻6个生产侧径,对特定的邻井注入器进行修井,并重新安排所有区块井的生产/注入速度。外地发展活动的执行结果将是今后出版物的主题。
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Localisation and Recovery Planning of the Remaining Hydrocarbon Reserves
The paper presents the results of a study project of 60+ well block of the large (> 1,000 wells) mature (30 year old) oilfield in Western Siberia with objective to localise and characterize residual recoverable reserves and propose the optimal economic scenario for further depletion. Low permeability, heterogeneous reserve structure along the cross-section, numerous induced hydraulic fractures in producing wells and numerous spontaneous fractures in injecting wells with dynamic behavior, aggravated by numerous behind-the-casing crossflows in almost every well have resulted in a very complex conditions of remaining reserves. The conventional methods of production analysis and surveillance (well testing and production logging) do not provide a consistent picture of the current distribution and conditions of the remaining reserves and required a deeper and more complex analysis. Development Opportunities Management workflow was chosen for this particular holistic study, which includes a set of interconnected studies, field surveillance, geological and flow modelling and culminated in field development planning based on the digital asset twin. (Ganiev, B., 2021) Digital asset twin was constructed based on results of this workflow with a full-range economical model, flow simulation over the thoroughly calibrated fine-grid 3D dynamic model and production complication model (dynamic behavior of the fractures and behind-casing channeling). The 3D model has been calibrated on results of the cross-well pressure-pulse surveillance, reservoir-oriented production logging and was validated by the results of the drilling of the transition wells. The digital asset twin was used to find the optimal investment scenario based on multivariate calculations with the help of digital assistants. Due to simplicity of the user interface and client-server design, the digital twin was made available for various corporate engineers and managers without any modelling skills to play around with their own ideas on possible production/investment scenarios which gave another level of validation of the ultimate field development plan. All activities carried out within the digital twin automatically generate a complete package of investment metrics (NPV, PI, IRR, MIRR, Cash Flow and many correlation graphs) to assess the economic efficiency of each package and select the most appropriate solution for further ultimate choice. The approved scenario was based around drilling 6 producing side-tracks in specific locations/trajectories, performing workovers on specific offset injectors and re-scheduling of the production/injection rates in all block wells. The results of the field development's activities implementation will be the subject of a future publication.
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