Data integration and model updating in a multi-stage stimulation in the Bedretto Lab, Switzerland

R. Castilla, F. Serbeto, Fabien Christe, P. Meier, F. Bethmann, A. Alcolea, B. Dyer, M. Hertrich, Xiaodong Ma
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引用次数: 2

Abstract

A series of hydraulic stimulation treatments were performed in the Bedretto Underground Lab for Geosciences and Geoenergies (BULGG) between 2020 and 2021. The objective of this experiment was to prove that multi-stage stimulation is a suitable technology to improve the reservoir quality in granitic rocks. Classical hydraulic tests, mini-frac tests and shear stimulations were performed in different boreholes and at different intervals. Each one of these treatments yielded observations and data that allowed us to update the structural, hydraulic and geomechanics reservoir model and improve our understanding of the whole system.Data resulting from the stimulation of one specific interval have been analyzed and integrated to build a coherent scenario. The integration of structural, hydraulic and geomechanical data is done using a Monte Carlo simulation allowing us to take into consideration the uncertainty inherent to each parameter. The comparison between theoretical results from the MC simulation and interpretations carried out on the data allow us to gain insights on the processes acting during the carried-out stimulation treatments.
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瑞士Bedretto实验室多级压裂的数据集成和模型更新
2020年至2021年期间,在Bedretto地下地球科学和地球能源实验室(BULGG)进行了一系列水力增产处理。本实验的目的是为了证明多级增产是一种改善花岗质岩石储层质量的合适技术。在不同井眼和不同井段进行了经典水力试验、微型压裂试验和剪切增产试验。每一种处理方法都获得了观测数据,使我们能够更新储层的结构、水力和地质力学模型,并提高我们对整个体系的理解。对某一特定层段增产所产生的数据进行了分析和整合,以建立一个连贯的方案。结构、水力和地质力学数据的整合使用蒙特卡罗模拟完成,允许我们考虑到每个参数固有的不确定性。MC模拟的理论结果与对数据的解释之间的比较使我们能够深入了解在进行的增产处理过程中起作用的过程。
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