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Enhancing Forecast Reliability Through Adoption of Integrated Production Modelling Technology

机译:通过采用综合生产建模技术提高预测可靠性

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Reliable reservoir and well performance predictions are essential to successful production, investment planning and capital stewardship for large liquefied natural gas (LNG) projects located offshore Western Australia. Successfully achieving this enables maximisation of revenues without eroding project net present value. In order to make informed decisions about the timing of future gas supply for LNG plants, the values and trade-offs of different timings for future wells need to be assessed. To achieve this, excellent reservoir characterisation is desirable, as well as reliable modelling of the field management rules, production system and well constraints. This paper will discuss the improved modelling aspect of the field management rules, production system and well constraints that will be used as a basis for future investment timing decisions for the Wheatstone project. Steps to improve the gas supply forecast included incorporating known production network constraints and downtime associated with well failure, in an effort to more accurately reflect production capability and operating envelopes. The adoption of a new software technology has supported the implementation of detailed and accurate field management logic into coupled production system - reservoir simulation models through a rule-based model controller. This enabled a more accurate representation of operational limitations, as well as more stable and reproducible simulation runs, modifiable well rate allocation schemes and well routing between production corridors. Improving the simulation models with those functionalities required close integration with flow assurance and subsea engineers, as well as operations, which resulted in a better cross-functional understanding of how certain constraints can affect ultimate field recovery and future field development decisions. Enhancing the representation of the production profiles has also resulted in higher confidence in making more informed decisions for future drilling campaigns timing, scope and well locations. Future model improvements will consist of incorporating revised operational constraints and updating the model's Field Management Controller as the production networks constraints and limitation are better characterised once the Project is in production phase. Evergreen updates of the reservoir models and the field management model are expected to be performed as new surveillance and production data become available, which will support an improved decision process for future gas supply investment.
机译:可靠的水库和良好的性能预测对于成功的生产,投资规划和资本管理,为近海澳大利亚海外近海澳大利亚州的大型液化天然气(LNG)项目至关重要。成功实现这一目标,可以在不侵蚀项目净值的情况下最大限度地提高收入。为了了解关于LNG工厂的未来气体供应的时间的明智决策,需要评估未来井的不同时间的价值观和权衡。为实现这一目标,优异的水库表征是可取的,以及可靠的现场管理规则,生产系统和良好限制的建模。本文将讨论现场管理规则,生产系统和良好限制的改进建模方面,这些方面将被用作惠斯通项目的未来投资时间决策的基础。提高气体供应预测的步骤包括通过更准确地反映生产能力和操作信封的努力,将已知的生产网络约束和停机时间内包含已知的生产网络限制和停机时间。通过新的软件技术的采用支持通过基于规则的模型控制器对耦合生产系统 - 储层系统 - 储层仿真模型进行了详细和准确的现场管理逻辑。这使得可以更准确地表示操作限制,以及更稳定,更可重复的仿真运行,可修改的井速率分配方案以及生产走廊之间的井路。通过这些功能改进模拟模型,需要与流量保证和海底工程师以及操作进行关闭集成,并导致对某些限制可能影响最终的现场恢复和未来现场发展决策的更好的交叉功能理解。增强生产型材的代表也导致更高的信心为未来钻探活动的时间,范围和井位置做出更明智的决策。未来的模型改进将包括修改后的运营限制,并更新模型的现场管理控制器,因为项目在生产阶段一旦生产网络的制约限制和限制更好。储层模型的常绿更新和现场管理模型预计将作为新的监控和生产数据进行可用,这将支持未来的燃气供应投资的改进决策过程。

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