Escuela Técnica Superior de Ingenieros de Minas y Energía de Madrid, Calle de Ríos Rosas 21, 28003 Madrid, Spain.
Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Avda. Complutense 40, Edif. 20, 28040 Madrid, Spain.
Sci Total Environ. 2018 Jun 1;625:1164-1174. doi: 10.1016/j.scitotenv.2017.12.273. Epub 2018 Jan 12.
Horizontal drilling and hydraulic fracturing are technologies designed to increase natural gas flow and to improve productivity in low permeability formations. During this drilling operation, tons of flowback and produced water, which contain several organic compounds, return to the surface with a potential risk of influencing the surrounding environment and human health. In order to conduct predictive risk assessments a mathematical model is needed to evaluate organic compound behaviour along the water transportation process as well as concentration changes over time throughout the operational life cycle. A comprehensive model, which fits the experimental data, combining an Organic Matter Transport Dynamic Model with a Two-Compartment First-order Rate Constant (TFRC) Model has been established to quantify the organic compounds concentrations. This algorithm model incorporates two transportation rates, fast and slow. The results show that the higher the value of the organic carbon partition coefficient (k) in chemicals, the later the maximum concentration in water will be reached. The maximum concentration percentage would reach up to 90% of the available concentration of each compound in shale formation (whose origin may be associated to drilling fluid, connate water and/or rock matrix) over a sufficiently long period of time. This model could serve as a contribution to enhance monitoring strategy, increase benefits out of optimizing health risk assessment for local residents and provide initial baseline data to further operations.
水平钻井和水力压裂是旨在增加天然气流量并提高低渗透率地层产能的技术。在钻井作业过程中,含有多种有机化合物的大量回注水和产出水会返回地面,存在潜在风险,可能会影响周围环境和人类健康。为了进行预测性风险评估,需要建立一个数学模型来评估有机化合物在水输送过程中的行为以及整个运营生命周期内随时间的浓度变化。为了定量有机化合物浓度,建立了一个综合模型,该模型将有机物运输动态模型与双室一阶速率常数 (TFRC) 模型相结合,拟合实验数据。该算法模型包含两个传输速率,快速和慢速。结果表明,化学品中有机碳分配系数 (k) 值越高,水中的最大浓度达到的时间越晚。在足够长的时间内,页岩地层中每种化合物的可用浓度的最大浓度百分比将达到 90%(其来源可能与钻井液、原生水和/或岩石基质有关)。该模型可作为增强监测策略的贡献,增加优化当地居民健康风险评估的收益,并为进一步的作业提供初始基线数据。