Collaborative Research: Coupled flow-geomechanical models applied to assess earthquake triggering in tectonically active regions – The Los Angeles basin, CA

诱发地震或人类活动引起的地震是一个日益受到社会关注的问题，影响着美国和全世界的碳氢化合物和地热能生产、天然气储存和地下碳封存工作。在自然地震活动很少或没有的地区，构造地震和诱发地震的区别通常很简单。然而，在构造活跃地区，区分自然地震活动和诱发地震活动要困难得多，特别是因为后者只能通过地震的规模、频率或地理分布随时间的变化来检测。此外，这些地区的诱发地震活动带来了巨大的风险，因为人类活动可能引发更大、更具破坏性的地震。这项研究开发了最先进的基于物理的模型，以研究加利福尼亚州洛杉矶盆地碳氢化合物油田近一个世纪的生产和废水注入对该地区断层稳定性的影响。这些模型将考虑构造和人为过程引起的断层应力变化，从而有助于区分构造事件和诱发事件。这项研究将推进调查和管理洛杉矶和其他构造活动区域的触发地震活动的方法，并解决人们对人口近 2000 万的构造活动区域的诱发地震活动日益增长的担忧。该项目开发了耦合地质力学和多相流体流动模型，以评估过去一个世纪石油田碳氢化合物生产和废水回注对加利福尼亚州洛杉矶盆地地震活动的影响。为了描述断层的机械和水力行为，以及压力变化和全应力张量对断层滑动的影响，该项目将采用先进的技术，通过严格的非线性多相地质力学公式来模拟断层油藏中的耦合流动和地质力学。这些模拟将在嵌入盆地构造活动断层系统区域描述中的详细储层模型中进行。洛杉矶盆地因其广泛的现场作业、丰富的断层和储层数据以及诱发地震活动和地表沉降的历史而成为研究触发地震活动的优秀实验室。我们将从威尔明顿油田开始研究，该油田已生产超过 25 亿桶石油，导致地面沉降达 9 米。研究人员收集了 5000 多口井的完整生产和注入计划（1936-2020），以利用储层压力和地表变形测量来校准他们的模型。然后模拟将扩展到盆地规模，评估现场作业如何影响 20 多个活动走滑和逆冲断层系统的地震活动。这将包括对地震活动模式的详细分析，包括由机器学习支持的目录记录的地震活动模式，以及重点关注油田附近发生的大型事件（例如，1933 年长滩 M 6.3）。目标是更好地了解触发地震活动，以及更强大的建模工具，可用于以最大限度地减少地震危害的方式管理地下能源运营。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。

Induced seismicity, or earthquakes caused by human activities, are a growing societal concern affecting hydrocarbon and geothermal energy production, gas storage, and subsurface carbon sequestration efforts in the Unites States and throughout the world. Distinguishing between tectonic and induced earthquakes is generally straightforward in areas with little or no natural seismicity. In tectonically active regions, however, discriminating between natural and induced seismicity is far more challenging, particularly as the latter may only be detected by changes in the size, frequency, or geographic distribution of earthquakes over time. Moreover, induced seismicity in these regions poses great risks, as human activities may trigger larger and more destructive earthquakes. This study develops state-of-the-art, physics-based models to investigate how nearly a century of production and waste-water injection in hydrocarbon fields of the Los Angeles basin, California, have impacted the stability of faults in the area. These models will consider stress changes on faults caused both by tectonic and anthropogenic processes, thus helping to distinguish between tectonic and induced events. This study will advance methodologies to investigate and manage triggered seismicity in Los Angeles and other tectonically active regions, as well as address the growing concerns about induced seismicity in a tectonically active region with a population of nearly 20 million people.This project develops coupled geomechanical and multiphase fluid flow models to assess the impact of hydrocarbon production and wastewater reinjection in petroleum fields over the past century on seismic activity in the Los Angeles basin, CA. To describe the mechanical and hydraulic behavior of faults, and the influence of the change in pressure as well as full stress tensor on fault slip, this project will employ advanced techniques for modeling coupled flow and geomechanics in faulted reservoirs with a rigorous formulation of nonlinear multiphase geomechanics. These simulations will be performed in detailed models of reservoirs embedded in regional descriptions of the tectonically active fault systems in the basin. The Los Angeles basin serves as an excellent laboratory to study triggered seismicity because of its extensive field operations, wealth of fault and reservoir data, and history of induced seismicity and ground surface subsidence. We will begin the study with the Wilmington field, which has produced more that 2.5 billion barrels of oil causing up to 9 meters of ground subsidence. The researchers have gathered the complete production and injection schedules (1936-2020) for more than 5000 wells to calibrate their models with reservoir pressure and measurements of ground surface deformation. Simulations will then be expanded to the basin scale, assessing how field operations have influenced seismicity on more than 20 active strike-slip and thrust fault systems. This will include detailed analysis of seismicity patterns, including those recorded by machine learning-enabled catalogs, as well as focus on large events (e.g., 1933 Long Beach M 6.3) that occurred in the vicinity of fields. The goal is to gain an improved understanding of triggered seismicity, along with more capable modeling tools, that can be used to manage subsurface energy operations in ways that minimize seismic hazard.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.