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Leveraging Integrated Production Modeling and Digital Platforms to Maximize Liquid Yield and Reduce OPEX from Liquid-Rich Marcellus Reservoirs-A Field Study

机译:利用综合生产建模和数字平台来最大限度地提高液体产量,减少富含液体Marcellus储层的OPEX - 一个田间研究

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This work describes the use of integrated production modeling(IPM),along with digital platforms,as reliable tools to increase liquid yield,reduce operational expenditures($/BOE)and maximize the project's net present value(NPV)in the Appalachian Basin.The results of the work,as applied to a real field show that the liquid yield for the gas condensate produced fluids can be increased by 3-5%; compression energy and process heating requirements can be reduced significantly.The condensate to gas ratio(CGR)in Marshall County,West Virginia(WV)changes rapidly from southeast to northwest.For example,on a single pad(8-10 wells)the CGR of the northwestern wells is ~40% higher than the CGR of southeastern wells.Moreover,the CGR decreases with production time.A fixed-pressure,two-stage separation process is suboptimal for this area.Calibrated physics-based models leveraged to an integration platform can significantly improve the facilities performance.The facilities set up is as follows: the gas produced from a well is fed to a line heater followed by a surface choke.The fluid then enters a gas processing unit(GPU)separator.The separated fluids from each well's GPU in the well pad are processed at common facilities consisting of separation and compression.The processed gas is exported to a sales gas line and the liquids are transported separately.A fully integrated model has been built for eight wells on a pad.The reservoir and well models were history matched and then integrated with the surface network and facilities(compressor,heater)using network modeling and integration platforms.Various scenarios were run to identify the optimal pressure setting for a given month.The optimization exercise yielded 5-10% additional natural gas Liquids(NGLs)on a pad by increasing the GPU pressures by 100-200 psi.The higher GPU pressures reduced the well choke pressure drop,thereby reducing the heating requirements by 50% as the Joule-Thomson cooling across the choke was minimized.The reduced cooling also minimized flow assurance risks due to hydrate formation and reduced inhibitor injection costs.Finally,the compression energy requirement was reduced via better management of the pressure staging.The developed integrated models,combined with digital platforms,offer novel and versatile capabilities for efficiently operating an asset to maximize liquids and reduce operational expenditure(OPEX).The deployment of a physical model-based digital oil field will facilitate the validation of these models on a continuous basis.This in turn will allow changes to be made in the field to keep the system optimized as the characteristics of the producing fluids change with time.
机译:这项工作描述了使用集成的生产建模(IPM)以及数字平台,作为增加液体产量的可靠工具,减少运营支出($ / BOE)并在阿巴拉契亚盆地中最大化项目的净目前价值(NPV)。适用于实地的工作结果表明,气体冷凝物的液体产量可以增加3-5%;压缩能量和工艺加热要求可以显着降低。西弗吉尼亚州马歇尔县的燃气比(CGR)从东南部迅速变化到西北部。例如,在单个垫上(8-10孔)CGR西北井的比东南部井中的CGR高〜40%.CGRe,CGR减少了生产时间。固定压力,两阶段分离过程为该区域的次优。基于物理的模型利用到一体化平台可以显着改善设施性能。设施设置如下:从井产生的气体被送入线加热器,然后是表面扼流圈。然后流体进入气体处理单元(GPU)分离器。分离的流体从井垫中的每个井的GPU都是由分离和压缩组成的共同设施处理的。加工气体出口到销售气体线,液体分别运输。完全集成的模型一直是bui垫上八个井LT。水库和井的模型是竞争历史,然后使用网络建模和集成平台与地面网络和设施(压缩机,加热器)集成。运行令人讨厌的方案以确定给定的最佳压力设置优化锻炼通过将GPU压力提高100-200 psi,在垫上产生5-10%的天然气液体(NGL)。较高的GPU压力降低了井扼流压降,从而将加热要求降低50%随着焦耳的焦森冷却,减少了由于水合物形成和降低的抑制剂注入成本导致的冷却降低也最小化了流动保障风险。最后,通过更好地管理压力分段,减少了压缩能量要求。发达的综合模型与数字平台相结合,提供新颖和多功能的功能,以便有效地操作资产,以最大化液体并减少运营展览NDITURE(OPEX)产生液体随时间变化。

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