Further Development of Novel ResSim Technology; Towards Digitalisation, CCS, and Hydrogen Applications

新型 ResSim 技术的进一步发展；

• 批准号: 10062955
• 金额: $ 4.75万
• 依托单位: ZODAN SOLUTIONS LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10062955
• 关键词: Further; Development; Novel; ResSim; Technology

It has now been widely believed that any effectual measure for eluding the influences of climate change will need multiple large-scale solutions including new low-carbon energy production and storage. Hydrogen is a low carbon energy vector which can be employed for clean heating of buildings and generation of electricity, and transport decarbonisation. Hydrogen can be produced through a water electrolysis process using renewable energy or hydrocarbon reformation with carbon capture and storage (CCS). It can also be stored in geological formations to equilibrate energy supply and demand and enable sustainable energy storage.The main objectives of this six months project are to:- Deeply understand the technical challenges associated with the sustainable repurposing of oil & gas infrastructure, including but not limited to subsurface reservoirs, for carbon capture and storage (CCS) and hydrogen applications.- Develop the innovative solutions to tackle those barriers through repurposing of our innovative technology -- Zodan Solutions' Advanced Reservoir Simulator (ResSim).In this multidisciplinary project, we will improve our first of its kind technology to facilitate the integration and reuse of existing infrastructure in the UK continental shelf (UKCS) for CCS and hydrogen applications, to enable the delivery of net zero targets by 2050\. The specific project objectives are to:1- Develop first of its kind machine learned technology for optimisation of integrated CO2 and H2 storage in subsurface reservoirs particularly in subsea environments.2- Develop an innovative tool and an advanced platform for determination of fluid impurities and respective influences on thermodynamic properties of CO2-/H2-rich streams. This will be greatly beneficial for tackling flow measurement, flow assurance, and geological reservoir integrity problems in the energy transition and industrial decarbonisation sectors.3- Monitor in-vivo propagation of fronts (pressure, temperature, composition variations at interfaces, pH) as well as geochemically induced porosity and permeability alterations in presence of intricate H2 and CO2 containing fluids.4- Unique and innovative Smart reactive fluid transport models for both CO2- and H2- containing systems at field scale.

现在人们普遍认为，任何摆脱气候变化影响的有效措施都需要多种大规模解决方案，包括新的低碳能源生产和储存。氢是一种低碳能源载体，可用于建筑物的清洁供暖、发电以及交通脱碳。氢气可以通过使用可再生能源的水电解过程或通过碳捕获和储存（CCS）进行碳氢化合物重整来生产。它还可以储存在地质构造中，以平衡能源供需并实现可持续能源储存。这个为期六个月的项目的主要目标是：- 深入了解与石油和天然气基础设施可持续重新利用相关的技术挑战，包括但不仅限于地下储层，还适用于碳捕获和封存 (CCS) 以及氢气应用。- 通过重新利用我们的创新技术——Zodan Solutions 的高级储层模拟器 (ResSim)，开发创新解决方案来解决这些障碍。在这个多学科项目中，我们将改进我们的首个此类技术，以促进英国大陆架 (UKCS) 现有基础设施的集成和再利用，以用于 CCS 和氢应用，从而实现到 2050 年实现净零目标。具体项目目标是：1- 开发首个机器学习技术，用于优化地下储层（特别是海底环境）中二氧化碳和氢气的综合存储。2- 开发创新工具和先进平台，用于确定流体杂质和各自的含量对富含 CO2/H2 流的热力学性质的影响。这对于解决能源转型和工业脱碳领域的流量测量、流量保证和地质储层完整性问题将大有裨益。3- 还可以监测前沿的体内传播（压力、温度、界面处的成分变化、pH 值）例如，在存在复杂的含 H2 和 CO2 的流体时，地球化学引起的孔隙度和渗透率发生变化。4- 适用于油田规模的含 CO2 和 H2 系统的独特且创新的智能反应流体传输模型。