Novel approach for modelling low enthalpy geothermal in deep sedimentary aquifers: a case study of 40 years of production data in the Dogger formation

IF 2.9 2区 地球科学 Q3 ENERGY & FUELS Geothermal Energy Pub Date : 2024-12-19 DOI:10.1186/s40517-024-00328-z
Theo Renaud, Joris Popineau, John O’Sullivan, Julien Gasser Dorado
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Abstract

Geothermal energy in the Paris urban area has been exploited since the early 1970s. Deep drilling in the Paris sedimentary basin has targeted hot brine in the Dogger formations from a mid-Jurassic carbonate rocks series. More than a hundred wells have been drilled to depths ranging from 1400 to 2000 m and decades of production and reinjection have resulted in variations in the aquifer pressure and temperature in some areas. The regional numerical model discussed herein is aimed at assessing the potential interactions between doublets and for assessing the impact of the addition of more wells in the future. While the integration of a 3D refined geological model into a large-scale reservoir model needs heavy computational resources, local models simplifying the main productive areas into one or two layers surrounded by impermeable units can be used to approximately assess the reservoir characteristics. The modelling of a semi-regional area of the Dogger reservoir in the Southern part of Paris (Cachan/Orly) has been performed, using a conventional double-layer approach to simulate the natural state and production history of the area using the simulator Waiwera, a fast parallel open-source geothermal simulator from the University of Auckland in New-Zealand. Calibration of a natural state model, which describes the conditions before any geothermal operations, has been performed, including an analysis of the impact of boundary condition values on the ability of the model to match the data available in the public domain. The temperature and pressure distributions, instead of being based on geostatistical mapping methods have been obtained from a calibrated natural state model. The implementation of a regional lateral cross flow observed from past studies proved to be essential for matching the measured temperatures and pressures along with variations in the deep heat flux. A calibrated model has been obtained from matching the available production data with mismatches of no more than 1.5 °C. The modelling results confirm the dominance of the shallower productive zone in the aquifers and give insights into the extent of the cooler areas created by the long-term operations. Thus we have used the Dogger reservoir, with multiple data sets available, as a case study for calibrating a semi regional numerical model of a deep sedimentary aquifer used for geothermal direct-use. Our modelling study accounts for the conceptual understanding of the sedimentary aquifer with its heterogeneities and calibrates the numerical model against the measured historical data. Based on the calibrated reservoir model, the pressure and temperature responses in deep productive areas can be determined enabling operators or decision makers to test future strategies for sustainably operating the geothermal resource.

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深层沉积含水层低焓地热建模的新方法:以Dogger地层40年生产数据为例
巴黎市区的地热能源自 20 世纪 70 年代初开始开采。巴黎沉积盆地的深层钻探以侏罗纪中期碳酸盐岩系列的多格地层中的热盐水为目标。一百多口水井的钻探深度从 1400 米到 2000 米不等,数十年的生产和回注造成了某些地区含水层压力和温度的变化。本文讨论的区域数值模型旨在评估双井之间的潜在相互作用,并评估未来增加更多油井的影响。将三维精细地质模型整合到大型储层模型中需要大量计算资源,而将主要产水区简化为一至两层、周围为防渗单元的局部模型则可用于近似评估储层特征。我们对巴黎南部(卡尚/奥利)多格尔储层的一个半区域进行了建模,采用传统的双层方法,利用新西兰奥克兰大学的快速并行开源地热模拟器 Waiwera,模拟该区域的自然状态和生产历史。自然状态模型描述了任何地热作业之前的条件,已对该模型进行了校准,包括分析边界条件值对模型与公共领域可用数据匹配能力的影响。温度和压力分布不是基于地质统计绘图方法,而是从校准的自然状态模型中获得的。事实证明,采用过去研究中观察到的区域横向横流,对于匹配测量到的温度和压力以及深层热通量的变化至关重要。通过匹配现有的生产数据,得到了一个校准模型,误差不超过 1.5 °C。建模结果证实了含水层中较浅层生产区的主导地位,并深入了解了长期作业造成的较冷区域的范围。因此,我们利用多格水库的多组数据作为案例研究,校准了用于地热直接利用的深层沉积含水层的半区域数值模型。我们的建模研究考虑了对沉积含水层及其异质性的概念理解,并根据测得的历史数据对数值模型进行了校准。根据校准后的含水层模型,可以确定深层生产区域的压力和温度响应,使运营商或决策者能够测试未来地热资源可持续运营的战略。
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来源期刊
Geothermal Energy
Geothermal Energy Earth and Planetary Sciences-Geotechnical Engineering and Engineering Geology
CiteScore
5.90
自引率
7.10%
发文量
25
审稿时长
8 weeks
期刊介绍: Geothermal Energy is a peer-reviewed fully open access journal published under the SpringerOpen brand. It focuses on fundamental and applied research needed to deploy technologies for developing and integrating geothermal energy as one key element in the future energy portfolio. Contributions include geological, geophysical, and geochemical studies; exploration of geothermal fields; reservoir characterization and modeling; development of productivity-enhancing methods; and approaches to achieve robust and economic plant operation. Geothermal Energy serves to examine the interaction of individual system components while taking the whole process into account, from the development of the reservoir to the economic provision of geothermal energy.
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