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Computer Applications to Enhance Production Optimisation and Process Efficiency

机译:计算机应用程序可提高生产优化和流程效率

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Even where production is largely constrained by gas demandrnthrough fixed contracts, revenue from hyrdocarbon liquidrnrecovery can be maximised through optimisation of wellrnproduction and process efficiency.rnSignificant improvement in oil and condensate recovery hasrnbeen achieved at Shell Todd Oil Services Ltd (STOS) usingrncomputer applications developed within the Operating Company,rnfocussing on value enhancement as well as cost reduction.rnInstallation of PI (Plant Information) has been fundamental in therndevelopment of these user-friendly PC based tools.rnKAOS (Kapuni Apportioned Optimisation Spreadsheet)rncombines thermodynamic understanding of the process with wellrncharacteristic data to form a non-linear optimisation tool in MSrnExcel. It is used successfully by field operators to optimisernproduction by prioritising wells and predicting optimal operatingrnconditions. An extension of this tool quantifies condensaterndeferment and loss caused by sub-optimal operation, to highlightrnimprovement opportunities. The KAOS model also forms thernfoundation for a Dynamic Production Forecasting tool, currentlyrnbeing developed for condensate shipping andrnmaintenance scheduling.rnData from PI is used to advantage in another MS Excel basedrntool developed to monitor efficiency of an offshore gasrncompression system on a continuous basis. The model bringsrntogether all process information, including ambient conditions,rnso that operations and interactions can be conceived in a way thatrnwas not possible before PI. A more intimate knowledge of thernprocess has enabled enhancement of oil recovery throughrnrationalisation of maintenance, improvement in plantrnperformance and assurance of integrity.
机译:即使在固定合同下天然气需求受到很大限制的情况下,也可以通过优化井产量和工艺效率来最大化碳氢化合物液体回收的收益。壳牌托德石油服务有限公司(STOS)使用在油田开发的计算机应用程序实现了石油和凝析油回收的显着改善。运营公司,着重于增值和降低成本。rn安装PI(工厂信息)对于开发这些基于PC的用户友好工具至关重要。在MSrnExcel中形成非线性优化工具。它被现场操作员成功地用于通过确定井次和预测最佳操作条件来优化产量。该工具的扩展可量化次优操作导致的冷凝变形和损失,以突出改进机会。 KAOS模型还为动态生产预测工具奠定了基础,目前该工具是为冷凝水运输和维护计划而开发的。PI的数据被用于另一个基于MS Excel的工具中,该工具旨在连续监控海上天然气压缩系统的效率。该模型将所有过程信息(包括环境条件)汇总在一起,从而可以以PI之前无法实现的方式来构想操作和交互。通过对维护过程的更深入了解,可以通过合理化维护,提高设备性能和确保完整性来提高采油率。

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