首页> 外文会议>85th Annual GPA(Gas Processors Association) Convention 2006 vol.2 >ON-LINE PROCESS OPTIMIZATION AT THE WESTERN GAS RESOURCES GRANGER PLANT
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ON-LINE PROCESS OPTIMIZATION AT THE WESTERN GAS RESOURCES GRANGER PLANT

机译:西部天然气资源厂的在线过程优化

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Western Gas Resources, Inc. (WGR) has embarked on a business improvement initiative at the Granger, WY processing asset. The initiative includes on-line model-based process optimization provided by eSimulation Inc. The Granger plant was chosen for optimization because of its size and complexity. The plant processes almost 500 MMSCFD of gas using two Cryogenic processing units and two Refrigeration units. NGLs are fractionated to produce Ethane, Propane, Isobutane, N-Butane and Gasoline products for rack sales and excess product is sold as y-grade. The plant is staffed 24 hours per day.The plant model was developed using the eSimOptimizer~(SM) web-based process optimization system. The model includes a rigorous chemical engineering model of the process as well as a detailed commercial model of the gas contracts associated with plant feeds. eSimOptimizer~(SM) continually collects and averages relevant process data. Every 3 hours, the data is used to update equipment performance tuning factors and optimize plant operating targets based on the latest product and residue pricing. The results are presented to the operators via simple tabular web pages. The results include both optimization target recommendations and the predicted economic impact of the changes. This paper will describe the implementation and results of the eSimOptimizer~(SM) project at the Granger plant.
机译:Western Gas Resources,Inc.(WGR)已在怀俄明州Granger的加工资产处开展了一项业务改进计划。该计划包括eSimulation Inc.提供的基于模型的在线过程优化。格兰杰工厂因其规模和复杂性而被选择进行优化。该工厂使用两个低温处理单元和两个制冷单元处理近500 MMSCFD的气体。 NGL被分馏以生产乙烷,丙烷,异丁烷,正丁烷和汽油产品,用于货架销售,多余的产品按y级出售。该工厂每天24小时都有工作人员。工厂模型是使用基于网络的eSimOptimizer〜(SM)过程优化系统开发的。该模型包括该过程的严格化学工程模型以及与植物原料相关的天然气合同的详细商业模型。 eSimOptimizer〜(SM)不断收集和平均相关过程数据。每3个小时,该数据将用于更新设备性能调整因子,并根据最新产品和残渣价格优化工厂运行目标。结果通过简单的表格网页呈现给操作员。结果既包括优化目标建议,也包括变更的预期经济影响。本文将描述Granger工厂中eSimOptimizer〜(SM)项目的实施和结果。

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