现有油气井的地热生产:可持续再利用模式

Oscar M. Molina, C. Mejia, M. Tyagi, F. Medellin, H. Elshahawi, Kumar Sujatha
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引用次数: 3

摘要

地热能产业从来没有意识到它真正的潜力,尽管看起来神奇的承诺不间断,24/7可再生能源就在地球表面以下。在本文中,我们讨论了一个集成的基于云的工作流程,旨在通过重新利用现有的油气井或通过共同生产热能和化石能源来评估在中低焓系统中采用地热生产的成本效益。该工作流程引入了一个自动化的、本质上安全的决策过程,将成熟的油气井转换为地热井,无论是部分还是完整的转换过程,都可以进行操作和财务评估。拟议的工作流程侧重于生产系统的地质、水动力和机械配置的全自动技术流程的可靠性和透明度,以确保转换项目在产热潜力和开发成本方面的财务成功。工作流程的决策部分包括技术、社会和环境因素,这些因素推动了全部或部分将井转换为地热生产的投资回报。这些组件使用人工智能(AI)算法进行评估,以减少决策过程中的偏见。热势:一种数据驱动模型,利用盆地建模的地质条件和邻井的数据来确定地热热势。流动建模:一种超快速、基于物理的建模方法,用于确定井筒压力和温度变化,从而模拟流体流动势、热通量和注入作业。机械完整性:套管和完井的完整性和配置嵌入到流速建模过程中。环境、社会和治理(ESG):建立了一个决策建模框架,以确保技术组件和ESG因素(包括水污染、碳排放和诱发地震活动和环境噪声水平等社会因素)的透明验证。关键ESG指标的保证将确保向全球可用的低碳能源(如地热)的可行和可持续过渡。我们新颖的基于云的自动化决策环境结合了区块链框架,以确保技术相关流程和任务的透明度,从而推动转换项目的财务成功。最终,我们的自动化工作流程旨在鼓励和支持石油和天然气行业广泛采用低碳能源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geothermal Production from Existing Oil and Gas Wells: A Sustainable Repurposing Model
The geothermal energy industry has never quite realized its true potential despite the seemingly magical promise of nonstop, 24/7 renewable energy sitting just below the surface of the Earth. In this paper, we discuss an integrated cloud-based workflow aimed at evaluating the cost-effectiveness of adopting geothermal production in low to medium enthalpy systems by either repurposing existing oil and gas wells or by co-producing thermal and fossil energy. The workflow introduces an automated and intrinsically secure decision-making process to convert mature oil and gas wells into geothermal wells, enabling both operational and financial assessment of the conversion process, whether partial or complete. The proposed workflow focuses on the reliability and transparency of fully automated technical processes for the geological, hydrodynamic, and mechanical configuration of the production system to ensure the financial success of the conversion project, in terms of heat production potential and cost of development. The decision-making portion of the workflow comprises the technical, social, environmental factors driving the return on investment for the total or partial conversion of wells to geothermal production. These components are evaluated using artificial intelligence (AI) algorithms that reduce bias in the decision-making process. The automated workflow involves assessment of the following: Heat Potential: A data-driven model to determine the geothermal heat potential using geological conditions from basin modeling and data from offset wells.Flow Modeling: An ultra-fast, physics-based modeling approach to determine pressure and temperature changes along wellbores to model fluid flow potential, thermal flux, and injection operations.Mechanical Integrity: Casing and completions integrity and configuration are embedded in the process for flow rates modeling.Environmental, Social, and Governance (ESG): A decision modeling framework is setup to ensure the transparent validation of the technical components and ESG factors, including potential for water pollution, carbon emissions, and social factors such as induced seismicity and ambient noise levels The assurance of key ESG metrics will ensure a viable and sustainable transition into a globally available low-carbon source of energy such as geothermal. Our novel cloud- based automated decision-making environment incorporates a blockchain framework to ensure transparency of technical-related processes and tasks, driving the financial success of the conversion project. Ultimately, our automated workflow is designed to encourage and support the widespread adoption of low-carbon energy in the oil and gas industry.
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