通过集成的孔到过程解决方案,释放中东复杂的凝析轻油资产的终极价值

S. H. Khor, Thanat Limpasurat, Michael Q Zhang, I. Graa
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引用次数: 0

摘要

使用集成资产建模方法的孔隙到过程解决方案已经成功开发并实施,以释放中东复杂的凝析轻油资产的最终真实价值。所研究的资产非常复杂,涉及多个具有双重孔隙度的储层,需要来自地下和地面设施不同领域的专业知识进行协作,充分了解流体性质、地质性质、网络背压和现有工艺设施的操作限制的复杂性,以识别优化当前油田开发计划的任何机会,从而释放所研究资产的真正价值。将7个黑油地下储层模型集成到6口成分井、管网和随后的6个工艺设施模型中,采用了孔隙到过程的集成资产建模解决方案,从而更好地管理资产运营并确定最佳的油田开发策略。为了保证流体从孔隙到过程的保真度,采用了黑油脱凝和组分流体脱凝。这种方法建立了有效建模解决方案的基础,使多个相互依赖的模型能够集成到单个生产模型中,同时保留单个模型的保真度,以减少不确定性,并在考虑各种组件模型相互作用、系统约束和背压效应的情况下增加仿真结果的可信度。集成的地下储层模型、组成的地面网络和工艺设施模型使人们更好地理解了可能出现的流动保障、井和管道完整性问题。在资产概览仪表板上显示的模拟结果有助于验证生产操作策略和工艺设计的适用性。从孔隙到过程的解决方案能够对各种油田开发计划进行综合评估,以最大限度地减少不确定性,降低风险;通过常绿综合模型优化整体生产动态和油藏采收率,该模型能够在一个综合仿真平台中考虑完整的系统约束、相互作用和各种模型之间的背压效应。地下与工艺设施模型的整合有助于确定每个设施流体的最佳分配和设施性能的监测。该项目交付了一些关键的资产级决策;例如,除了提高预测准确性、资本支出预测和最佳操作效率外,还可以通过改变现有工艺设备(产能和/或操作)和生产井的流动路径来增加可采储量。开发的孔隙到过程解决方案证实,综合资产建模方法可以有效地验证各种油田开发策略,同时考虑到预期的钻机事件、所需的设备更换(完井和工艺设施),并随后确定增产机会,确保资产安全运行。通过保持集成资产模型的常青性,这些模型(孔隙到过程)的可用性和可及性建立了数字油田的主要支柱,以释放所研究的复杂资产的真正价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unlocking Ultimate Values of a Complex Gas-Condensate Light-Oil Asset in the Middle East with Integrated Pore-to-Process Solutions
Pore-to-process solutions using the integrated asset modeling approach have been successfully developed and implemented to unlock the ultimate real values of a complex gas-condensate light-oil asset in the Middle East. The studied asset was complex, involving multiple reservoirs with dual porosity that required expertise from different domains from subsurface to surface facilities to collaborate and fully understand the complexity of fluid properties, geological properties, network backpressures, and operational constraints of the existing process facilities to recognize any opportunities of optimizing the current field development plan, thereby unlocking the true value of the studied asset. Integrated asset modeling was adopted for pore-to-process solutions that enable better management of asset operation and identification of optimal field development strategy, where seven black-oil subsurface reservoir models were integrated to six compositional wells, pipelines networks, and subsequently to six process facility models. Black-oil delumping and compositional fluid delumping were implemented to ensure fluid fidelity from pore to process. This approach established the fundamentals of effective modeling solutions that enabled multiple interdependent models to be integrated into a single production model while preserving the fidelity of individual models to reduce uncertainties and to increase confidence in the simulation results with consideration of various component model interactions, system constraints, and backpressure effects. The integrated subsurface reservoir models, compositional surface network, and process facility models brought insights and a better understanding of flow assurance, well, and pipeline integrity issues that may arise. Simulation results displayed on the asset overview dashboard helped to validate production operation strategy and suitability of the process designs. The pore-to-process solutions empowered comprehensive assessment of various field development plans to minimize uncertainties, mitigate risks; and optimize the overall production performance and reservoir recovery via an evergreen integrated model with the ability to account for the complete system constraints, interactions, and backpressure effects between various models in one integrated simulation platform. Integration of subsurface to process facility models have assisted in determining the optimum distribution of fluids per facility and surveillance of facilities performance. This project has delivered some key asset-level decisions; for example, the possibility of increased recoverable reserves by making changes to the existing process equipment (capacity and/or operational), and flow paths of producing wells, in addition to improved forecast accuracy, capital expenditure prediction, and optimal operational efficiency. The developed pore-to-process solutions confirmed that the integrated asset modeling approach could effectively validate various field development strategies with consideration of anticipated rig events, required equipment changes (both well completion and process facilities), and subsequently to identify the opportunities of increased production and ensuring safe asset operation. By keeping the integrated asset models live and evergreen, the availability and accessibility of these models (pore to process) established the main pillars of a digital oil field to unlock the real value of the studied complex asset.
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