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

现在人们普遍认为，任何有效的措施，以避免气候变化的影响，将需要多个大规模的解决方案，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和发电以及运输脱碳。氢可以通过使用可再生能源的水电解过程或具有碳捕获和储存（CCS）的碳氢化合物重整来生产。它也可以储存在地质构造中，以平衡能源供需，实现可持续的能源储存。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再利用相关的技术挑战，包括但不限于地下储层，用于碳捕获和储存（CCS）和氢气应用。通过重新利用我们的创新技术- Zodan Solutions的高级油藏模拟器（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同类技术，以促进英国大陆架（UKCS）现有基础设施的集成和再利用，用于CCS和氢气应用，从而实现到2050年的净零目标。具体的项目目标是：1-开发第一种机器学习技术，用于优化地下储层，特别是海底环境中的CO2和H2综合储存。2-开发一种创新工具和先进平台，用于确定流体杂质及其对富CO2/H2流热力学性质的影响。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非常有益。3-监测前沿的体内传播（压力、温度、界面处的成分变化，pH值）以及在复杂的含H2和CO2流体存在下地球化学诱导的孔隙度和渗透率变化。独特和创新的Smart反应流体输送模型，适用于现场规模的含CO2和H2系统。

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.