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Cost reduction of noise treatments in the oil gas industry - design of noise mitigation for gas compressor stations using engineering optimisation

机译:石油燃气行业噪声处理成本降低 - 使用工程优化的气体压缩机站噪声缓解的设计

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The capital cost of noise control treatments for land-based gas compressor stations can be significant. Field gas compression facilities can have many noise sources including compressors, fan coolers, power generators or transformers, pipes and valves, flares and so on. Some coal seam gas field facilities can also have co-located water treatment plant or water transfer pumps. Environmental noise computer modelling predictions can estimate the component contribution noise emissions from each individual noise source at each affected receiver. Using these data, an experienced practitioner can estimate a scheme of noise level reductions for each source so that the noise emissions of the entire site comply with the overall environmental noise targets at the receptors. However it is not straightforward to select and design the noise control treatments for all of the individual noise sources with the explicit goal of minimising the total capital cost for the overall noise mitigation program. This paper provides an example of minimising the cost of noise control treatments required for a coal seam methane gas field compression station using two different engineering optimisation techniques.
机译:陆地气体压缩机站的噪声控制处理的资本成本可能是显着的。现场气体压缩设施可以具有许多噪音来源,包括压缩机,风扇冷却器,发电机或变压器,管道和阀门,喇叭口等。一些煤层气场设施也可以共同定位的水处理厂或水转移泵。环境噪声计算机建模预测可以估计每个受影响的接收器的每个单独噪声源的组件贡献噪声排放。使用这些数据,经验丰富的从业者可以估计每个来源的噪声水平降低方案,使得整个站点的噪声发射符合受体的整体环境噪声目标。然而,对于所有单独的噪声源选择和设计噪声控制处理并不是直接的,以明确的目标最小化整体噪声缓解计划的总资本成本。本文提供了使用两种不同的工程优化技术最小化煤煤层甲烷气田压缩站所需的噪声控制处理成本的例子。

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