Challenges and Recent Advances in Modeling and Simulation of Geothermal Systems

M. Yurukcu, J. Saldana, C. Temizel, S. Arbabi
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Abstract

Geothermal sites have unique features that require tailored approaches when it comes to production and recovery forecasts. This article explores the latest technologies, and the current challenges that simulation methods face for these types of systems Objectives are to establish this work as a robust literature reference for researchers searching for a guide to assist their future investigations. At the end of their cycles, low permeability hydrothermal sites, low fracture reservoirs, or over-exploited wells are ideal candidates to become enhanced geothermal systems, but to get to this point; optimization processes need to be performed on these sites. Building from earlier models that measure both wellhead temperature and pressure and considering the important challenges to current geothermal systems modeling, we advance a framework that embraces more novel computational techniques that strive towards capturing 3D fluid flow dynamics, as well as potential interactions between aqueous fluids, gases, and porosity and permeability changes brought by the dissolution and transformation of minerals inside the well. The development of more novel models has improved the capabilities for working with increasingly larger quantities of data while also delivering accurate estimations when some data is missing or incomplete. Additionally, the advent of artificial intelligence techniques has aided engineers in modeling quasi-three-dimensional mass transport and fluid flow dynamics, as well as chemical and physical interactions within low-porosity reservoirs. Our review highlights the appearance of two important mathematical models that rely on nonlinear partial differential equations that cover fluid pressure, enthalpy, and boundary conditions. With that said, capturing those interactions in 3D models that are robust and efficient remains a steep challenge for researchers. Through this work, we ultimately offer a roadmap to developing models to combat these limitations. Geothermal systems have been understudied as some consider these wells afterthoughts within oil and gas operations, but more novel methods can significantly improve reservoir simulation for these sites. This work provides a window into the newest advances and techniques while also providing a framework for their use to engineers looking to optimize them.
地热系统建模与模拟的挑战与最新进展
地热场址有其独特的特点,在产量和采收率预测方面需要量身定制的方法。本文探讨了这些类型系统的最新技术,以及当前仿真方法面临的挑战。目标是将这项工作建立为研究人员寻找指南以协助他们未来研究的强大文献参考。在循环结束时,低渗透热液区、低裂缝储层或过度开采的井是增强地热系统的理想候选者,但要达到这一点;优化过程需要在这些网站上执行。在早期测量井口温度和压力的模型的基础上,考虑到当前地热系统建模面临的重要挑战,我们提出了一个框架,该框架包含了更多新颖的计算技术,旨在捕获3D流体流动动力学,以及含水流体、气体之间的潜在相互作用,以及井内矿物溶解和转化带来的孔隙度和渗透率变化。更新颖的模型的开发提高了处理越来越多的数据的能力,同时也在某些数据缺失或不完整时提供了准确的估计。此外,人工智能技术的出现帮助工程师模拟准三维质量传递和流体流动动力学,以及低孔隙度储层中的化学和物理相互作用。我们的回顾强调了两个重要的数学模型的出现,它们依赖于非线性偏微分方程,涵盖流体压力,焓和边界条件。话虽如此,在强大而高效的3D模型中捕捉这些相互作用对研究人员来说仍然是一个严峻的挑战。通过这项工作,我们最终提供了一个开发模型来对抗这些限制的路线图。地热系统的研究还不够充分,因为有些人在油气作业中会考虑这些井,但更多的新方法可以显著改善这些地点的储层模拟。这项工作为了解最新的进展和技术提供了一个窗口,同时也为工程师寻求优化它们提供了一个框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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