Footer Tracey L, Thoma Eben D, Clark Nigel, Johnson Derek, Nash Jennifer, Herndon Scott C
Eastern Research Group, Inc., 601 Keystone Park Drive, Suite 700, Morrisville, NC 27560, United States.
Center for Environmental Measurement and Modeling, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, United States.
Atmos Environ X. 2023 Jan 1;17:1-10. doi: 10.1016/j.aeaoa.2022.100199.
In April of 2018, an optical gas imaging (OGI) and full flow sampler (FFS) emissions measurement study of pneumatic controllers (PCs) was conducted at 15 oil and natural gas production sites in West Virginia. The objective of the study was to identify and characterize PC systems with excessive emissions caused by maintenance issues or nonoptimized process conditions. A total of 391 PC systems were found on the sites and all were classified by the operator as snap-acting (on/off) intermittent venting PCs (IPCs) that should exhibit little gas release while the PC is closed between actuation events. The population was comprised of two groups, 259 infrequently actuating, lower emitting (LE) IPCs and 132 gas processing unit (GPU) liquid level IPCs and associated dump valve actuators that vent more frequently and have larger emission volumes. Using a PC-specific OGI inspection protocol with an assumed whole gas OGI detection threshold of 2.0 scfh, only 2 out of 259 LE-IPCs exhibited OGI detectable emissions indicating good inspection and maintenance practices for this category. Due to combined (ganged) GPU exhaust vents, the OGI inspection of the GPU liquid level IPCs was comparatively less informative and determination of single component IPC emissions by the FFS was more difficult. The time resolved FFS measurements of GPU IPCs defined three categories of operation: one that indicated proper function and two associated with higher emissions that may result from an IPC maintenance or process issues. The overall GPU IPC emission distribution was heavy tailed, with a median value of 12.8 scfh, similar to the 13.5 scfh whole gas IPC emission factor (EF). Total emissions were dominated by non-optimal temporal profile high-emitter IPC cases with the top 20% of IPC systems accounting for between 51.3% and 70.7% of GPU liquid level IPC emissions by volume. The uncertainty in the estimate was due to the ganged nature of the GPU exhaust vents. The highest GPU IPC emission came from a single malfunctioning unit with a measured whole gas value of 157 scfh. Up to six IPCs exceeded 100 scfh. An analysis of FFS emission measurements compared to liquids production per IPC unit employed indicated that production sites operating at a high level of liquids production test the limits of the site engineering, likely resulting in higher IPC emissions. Overall, this study found that the LE-IPCs with OGI-verified low closed bleed rates may emit well below the IPC EF while GPU liquid level IPC systems are likely well represented by the current IPC EF. IPCs that are experiencing a maintenance or process issue or that are operating at sites with a very high product throughput per IPC employed can emit at rates exceeding ten times IPC EF.
2018年4月,在西弗吉尼亚州的15个石油和天然气生产现场,对气动控制器(PC)进行了光学气体成像(OGI)和全流采样器(FFS)排放测量研究。该研究的目的是识别和表征因维护问题或未优化的工艺条件而导致排放过多的PC系统。在这些现场共发现了391个PC系统,操作人员将所有这些系统都归类为快动(开/关)间歇排放PC(IPC),在PC两次动作之间关闭时,这类PC应几乎没有气体释放。该群体由两组组成,259个动作不频繁、排放较低(LE)的IPC和132个气体处理单元(GPU)液位IPC以及相关的排放更频繁、排放量更大的排放阀执行器。使用特定于PC的OGI检查协议,假定全气体OGI检测阈值为2.0标准立方英尺每小时(scfh),259个LE-IPC中只有2个表现出OGI可检测到的排放,这表明该类别的检查和维护措施良好。由于GPU排气口合并(成组),GPU液位IPC的OGI检查提供的信息相对较少,通过FFS确定单个组件IPC的排放更加困难。GPU IPC的时间分辨FFS测量定义了三类操作:一类表明功能正常,另外两类与可能由IPC维护或工艺问题导致的更高排放相关。GPU IPC的总体排放分布呈重尾分布,中值为12.8 scfh,与13.5 scfh的全气体IPC排放因子(EF)相似。总排放量主要由非最佳时间分布的高排放IPC情况主导,前20%的IPC系统按体积计算占GPU液位IPC排放量的51.3%至70.7%。估计的不确定性是由于GPU排气口的成组性质。最高的GPU IPC排放来自一个故障单元,测得的全气体值为157 scfh。多达6个IPC超过了100 scfh。对FFS排放测量结果与每个IPC单元的液体产量进行比较分析表明,液体产量高的生产现场对现场工程的极限进行了测试,可能导致更高的IPC排放。总体而言,这项研究发现,经OGI验证具有低关闭泄漏率的LE-IPC的排放量可能远低于IPC EF,而GPU液位IPC系统可能很好地由当前的IPC EF表示。正在经历维护或工艺问题的IPC,或者在每个使用的IPC具有非常高的产品产量的现场运行的IPC,其排放速率可能超过IPC EF的十倍。