Quantification of volatile organic compound emissions from unconventional oil and gas development

Oil and gas (O&G) development in the U.S. has accelerated in the past two decades, aided by unconventional extraction techniques including hydraulic fracturing and horizontal drilling. Potential environmental and health impacts of volatile organic compounds (VOCs) originating from O&G activities in populated regions have raised concerns. In Broomfield, Colorado, six new O&G well pads were approved for development in 2017 and an air monitoring program was established in October 2018 to collect weekly and plume-triggered air samples. This study addresses the limited existing knowledge of activity-specific VOC emission rates from unconventional O&G development (UOGD), utilizing these observations and dispersion model simulations through emission inversion methods. Emissions are characterized from well drilling, hydraulic fracturing, coiled tubing/millout, flowback, and production operations.
Substantial variations in average VOC emission rates, determined using weekly canis..., This dataset uses the following methods:

Emission rates based on weekly canister samples:We first identify the active well pads at each week based on the well pad operation timelines. The emission rates for active well pads are constrained using observed concentration and dispersion model simulations through multiple linear regression. Then we select the emission rates that can be attributed to single operations based on the well pad operation timelines and exclude emission rates associated with multiple operations on a single well pad during a given week.

Emission rates based on plume-triggered samples:We first extrapolate VOC concentrations to 1-hour estimated concentrations using the corresponding PID readings. Then we calculate the 1-hour concentration enhancements over background concentrations from the COM site. Run AERMOD simulations with unit emission rate using wind rotation method. The 1-hour emission rates are based on the ratio of 1-hour concentration enhancements over AER..., , # Quantification of Volatile Organic Compound Emissions from Unconventional Oil and Gas Development

[https://doi.org/10.5061/dryad.g1jwstqzs](https://doi.org/10.5061/dryad.g1jwstqzs)

## Versioning

* Version 2 (September 2024): In this version, the AERMOD simulations for weekly canister samples use WRF-observation hybrid wind direction as input.
* Version 1 (May 2024): In this version, the AERMOD simulations for weekly canister samples use WRF wind direction as input.

## Overview

This dataset contains comprehensive data on emission rates and concentrations of volatile organic compounds (VOCs) during various operations of unconventional oil and gas development (UOGD) in Broomfield, Colorado, spanning from 2019 to 2022. It comprises both observed concentration from weekly and plume-triggered canister samples and simulations from the AERMOD dispersion model.

## Data files and description

This dataset contains the following data:

1. Emission rates based on weekly canister samples for...

美国油气（O&G）开发在过去二十年中加速推进，得益于水力压裂、水平钻井等非常规开采技术的应用。人口密集区域内油气活动排放的挥发性有机化合物（Volatile Organic Compounds, VOCs）所潜在的环境与健康影响，已引发广泛关注。2017年，科罗拉多州布鲁姆菲尔德市批准了6个新建油气井场的开发项目，并于2018年10月启动空气监测计划，每周采集空气样本，同时在羽流触发时开展靶向采样。本研究针对非常规油气开发（Unconventional Oil and Gas Development, UOGD）活动特异性VOC排放速率的现有认知缺口，依托上述监测数据与扩散模型模拟，通过排放反演方法开展研究，刻画了钻井、水力压裂、连续油管/磨铣、返排以及生产等作业环节的排放特征。
基于每周罐采样本确定的平均VOC排放速率存在显著差异（canis...）。本数据集采用以下方法：
基于每周罐采样本的排放速率：我们首先依据井场作业时间线确定每周的活跃井场。通过多线性回归结合观测浓度与扩散模型模拟结果，约束活跃井场的排放速率。随后，基于井场作业时间线筛选可归因于单一作业的排放速率，排除特定周内单个井场同时开展多项作业所对应的排放数据。
基于羽流触发样本的排放速率：我们首先利用对应的光离子化检测器（Photoionization Detector, PID）读数，将VOC浓度外推至1小时估算浓度。随后，计算COM站点背景浓度之上的1小时浓度增量。采用风旋转法以单位排放速率运行AERMOD扩散模型模拟。1小时排放速率基于1小时浓度增量与AER...的比值。
# 非常规油气开发挥发性有机化合物排放量化
[https://doi.org/10.5061/dryad.g1jwstqzs](https://doi.org/10.5061/dryad.g1jwstqzs)
## 版本控制
* 版本2（2024年9月）：本版本中，针对每周罐采样本的AERMOD模拟以WRF-观测混合风向作为输入。
* 版本1（2024年5月）：本版本中，针对每周罐采样本的AERMOD模拟以WRF风向作为输入。
## 数据集概述
本数据集涵盖2019年至2022年间科罗拉多州布鲁姆菲尔德市非常规油气开发各作业环节的挥发性有机化合物排放速率与浓度的完整数据，包含每周罐采样本、羽流触发样本的观测浓度，以及AERMOD扩散模型的模拟结果。
## 数据文件及说明
本数据集包含以下数据：
1. 基于每周罐采样本的排放速率（for...）