利用集成资产模型作为数字孪生,采用整体方法延长阿布扎比大型陆上气田生产平台期,优化资本支出/运营支出

Mohd Anwar Mohamed Latif, M. Bedewi, A. Abdullayev, Noura Al Saadi, Babar Saleem, Ahmed Mohamed Al Bairaq, Ammar Faqqas Al Ameri
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引用次数: 1

摘要

讨论了一个由6个下白垩世碳酸盐岩储层组成的巨型气田,该气田具有气顶和非伴生气,其生产遵循枯竭方案。该油田有30多年的生产历史,150多口凝析气井流向一个共同的地面网络,这意味着产量下降是不可避免的。本研究评估了各种缓解措施,以延长平台期或最小化预期的不可避免的产量下降,并在遵守与消费者天然气厂的服务水平协议(SLA)的同时优化成本。本文说明了如何使用集成资产模型(IAM)作为实际资产的数字孪生,可以帮助提供评估关键投资决策的整体方法。建议的缓解措施主要集中在地面设施上,因为气田对背压很敏感;缓解措施主要是为了减少反压,以弥补预期的产量下降。天然气厂入口/出口压力的降低被证明提供了显著的平台延伸。这一发现通过田间试验得到了证实。在IAM模拟过程中,间歇性和弱生产商对井口压缩的实施反应积极;因此,在现场进行了试验以验证仿真结论。IAM还证明,如果有必要,增加20口新井将有助于加快天然气产量;但是,在实施之前需要进一步的经济论证。模拟场景,例如目前共用流线的井的隔离,对整个油田的生产影响很小。此前对压缩站内压缩机的重新配置证明,在缓解产量下降和加速气体体积方面是有益的。然而,由于操作风险和相关成本,未来的重新配置显示影响最小。该研究的很大一部分集中在根据综合关闭计划(ISDP)对资产地面设施的各个组件的停机时间进行建模,并确定替代路线,以最大限度地减少整体天然气生产中断,并遵守SLA承诺。通过使用IAM作为实际资产的数字孪生体,专注于精确模拟油田的操作方面。除了通常的模拟优势(例如在实际投资之前对各种敏感性进行评估)之外,这种整体方法还有助于实现成本节约机会,并有助于确保未来符合合同的产气量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Holistic Approach to Prolong Giant Onshore Abu Dhabi Gas Field Production Plateau and Optimize CAPEX/OPEX Using an Integrated Asset Model as a Digital Twin
A giant gas field consisting of six stacked carbonate reservoirs of Lower Cretaceous age with gas caps and non-associated gas where the production follows a depletion scheme is discussed. The field has a production history of more than 30 years with more than 150 gas condensate wells flowing to a common surface network, which means production decline is inevitable. This study assesses various mitigation actions to extend the plateau or minimize the anticipated inevitable production decline, and optimize costs while adhering to a service level agreement (SLA) with the consumer gas plant. This paper illustrates how the use of an integrated asset model (IAM) as a digital twin of the actual asset can help provide a holistic approach for evaluating critical investment decisions. The proposed mitigation actions were mainly focused on surface facilities because gas fields are sensitive to backpressure; the mitigation actions were primarily geared toward reducing backpressure to remedy the anticipated production decline. Gas plant inlet/outlet pressure reduction proved to provide significant plateau extension. This finding was verified by means of field trials. Intermittent and weak producers responded positively to the implementation of wellhead compression during the IAM simulation; consequently, a pilot was implemented in the field to verify the simulation conclusion. IAM also proved that adding 20 new infill wells would help accelerate gas production, if necessary; but, it requires further economic justification before implementation. Simulating scenarios, such as the segregation of wells currently sharing flowlines, had a minor effect to overall field production. A previous reconfiguration of compressors within the compression stations proved beneficial in mitigating production decline and accelerating gas volume. However, because of operational risks and associated costs, future reconfigurations showed minimum impact. A significant portion of the study was focused on modeling the downtime of various components of the asset surface facilities as per the integrated shutdown plan (ISDP) and identifying alternative routes to minimize overall gas production disruption and to adhere to the SLA commitment. The focus on precisely simulating the operational side of the field was enabled by the use of IAM as a digital twin of the actual asset. In addition to the usual simulation benefits, such as the assessment of various sensitivities before implementing significant investments in real life, this holistic approach can help realize cost-saving opportunities and help ensure future adherence to the contracted gas rate.
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