首页> 外文会议>SPE International Conference and Exhibition on Health, Safety, Security, Environment, and Social Responsibility >Upstream Energy Benchmarking: Identifying Energy Improvement and GHG Reduction Opportunities For Current and Future Operations, Including Technology Gaps
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Upstream Energy Benchmarking: Identifying Energy Improvement and GHG Reduction Opportunities For Current and Future Operations, Including Technology Gaps

机译:上游能源基准:确定能源改进和减少当前和未来运营的机会,包括技术差距

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Emissions from energy use are the oil and gas industry's largest direct GHG source. Simple, top-down metrics (eg energy per barrel) do not account for the inherent differences between asset types (eg LNG, pipelines) and are insufficient to identify specific improvement opportunities. Drawing on our downstream experience, BP has developed a modular, bottom-up energy benchmarking approach for upstream. This focuses on energy performance, distinguishing it from underlying, inherent energy use. The energy benchmark for each facility is the sum of individual processing ‘modules’ appropriate to that facility - eg gas compression, liquids pumping, etc. Each module's benchmark is based on its fluid throughput, together with key factors that determine energy demand - eg inlet and outlet pressures, equipment efficiencies, etc. The total benchmark energy for the facility is compared to the energy it actually uses to determine its Energy Performance Index (EPI), so a facility that uses no more energy than its benchmark has an EPI of 100, whilst one using twice the benchmark has an EPI of 200, etc. All BP's operated upstream facilities have been energy benchmarked using this methodology and there was a range of outcomes. The reasons for this are multiple: age, design, complexity, current throughput, as well as other operational factors, and further analysis is required to understand individual facility results better. Facilities also differ considerably in energy use: from 15 MWth for a pipeline, to more than 1,000 MWth for a Gas Liquefaction (LNG) plant. Facility size and EPI together establish the facility's ‘energy opportunity gap’; that is, the gap between actual and benchmark energy. This energy performance opportunity data has been used to prioritize where to focus supplementary, deep-dive energy reviews with the aim of identifying economic energy performance improvement opportunities. Additionally, full energy gap analysis should help identify and quantify common opportunity themes and potential technology gaps across our upstream portfolio (eg waste heat). Given the challenges to implementing the more fundamental opportunities to existing operating facilities, especially offshore, the most significant findings are more applicable to future operations (ie major projects currently in development). Hence, as part of our forward GHG plans, energy benchmarking is to be applied to future major upstream projects. The approach applies maximum energy supply efficiency curves based on facility heat-to-power energy demand ratios. Minimal data input required is collected via simple spreadsheet (only for modules applicable to that facility). This modular benchmarking approach can be readily expanded to include other GHG emission sources: eg flaring (based on flaring categorization: eg routine, non-routine, safety-related), and methane (based on methane sources: eg flaring, pneumatics, fugitives, vents, etc.), and thus in combination achieve overall facility GHG benchmarking.
机译:能源使用的排放是石油和天然气行业最大的直接温室气体源。简单,自上而下的指标(例如,每桶能量)不考虑资产类型(例如LNG,管道)之间的固有差异,并且不足以识别特定的改进机会。借鉴我们的下游经验,BP已经开发了一种模块化,自下而上的能源基准方法,适用于上游。这侧重于能源性能,将其区分开地区,固有的能源使用。每个设施的能量基准是适合该设施的个人处理“模块”的总和 - 例如气体压缩,液体泵送等。每个模块的基准基于其流体吞吐量,以及确定能量需求的关键因素 - 例如入口的关键因素和出口压力,设备效率等。将设施的总基准能量与其实际用于确定其能量性能指数(EPI)的能量进行比较,因此使用比其基准的能量更多的设施具有100个的EPI ,虽然使用两倍的基准测试的虽然是200的EPI等。所有BP的运营上游设施都是使用这种方法的能源,并且有一系列结果。这是多个:年龄,设计,复杂性,当前吞吐量以及其他操作因素,以及进一步的分析需要更好地理解个别设施的结果。能源使用的设施也有很大的差异:从一个管道到15米,以1000多兆瓦的气体液化(LNG)植物。设施规模和epi共同建立了设施的“能源机会差距”;也就是说,实际和基准能量之间的差距。这种能源绩效机会数据已被用于优先考虑聚焦补充,深潜能审查的目的,以确定经济能源绩效改善机会。此外,全能差距分析应有助于识别和量化在上游产品组合中的普通机会主题和潜在技术差距(例如废热)。鉴于为现有经营设施实施更重要的机会,特别是离岸的挑战,最重要的发现更适用于未来的业务(即目前正在开发的主要项目)。因此,作为我们前向GHG计划的一部分,能源基准将适用于未来的主要上游项目。该方法基于设施热量输电量需求比采用最大能量供应效率曲线。通过简单的电子表格收集所需的最小数据输入(仅适用于适用于该设施的模块)。这种模块化基准方法可以容易地扩展到包括其他温室气体发射源:例如燃烧(基于燃烧分类:例如常规,非常规,安全相关)和甲烷(基于甲烷来源:例如喇叭形,气动,逃亡者,通风口等),因此组合实现了整体设施GHG基准测试。

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