Multi-scale Numerical Studies on Characterization of Shale Gas Reservoir Development
本论文采用了三个不同的角度来解决一个问题：如何以专业的理解对页岩储层进行可靠客观的评估和预测其性能。第二章在增强水力特性的基础上，提出了使用商业平台进行高级模拟的方案，以减少历史拟合误差和预测不确定性。
第三章建立了一个综合的多尺度数值模拟平台。借助多尺度特征平台，可以更好地理解微观尺度获得的见解，例如纳米孔表面覆盖演变和诱导的异质性，从而更合理客观地评估储层的瞬态响应。
第四章基于综合建模工作流程，评估了干气和富液页岩储层中二氧化碳（CO2）封存的储层性能。提出了一个更精确的页岩储层模型，代表了页岩地层最重要的特征。本研究旨在确定影响CO2封存和提高油气产量最关键因素，为现场应用提供宝贵指导。
Abstract
From three different perspectives, this thesis addresses one issue: how to reliably and objectively assess and forecast the shale reservoir performance with an advanced understanding of the shale reservoir specialty. With enhanced hydraulic characterization, Chapter 2 provides an advanced modelling scheme using the commercial platform to reduce history-match errors and forecast uncertainty.
In Chapter 3, an integrated multi-scale numerical simulation platform is established. Based on the multi-scale characterization platform, the insights obtained at the micro-scale such as nanopore surface coverage evolution and induced heterogeneity can provide a better understanding of the macro reservoir performance, which leads to more reasonable and objective evaluation on the reservoir transient response.
In Chapter 4, based on an integrated modelling workflow, the reservoir performance for carbon dioxide (CO2) sequestration in both dry and liquid rich shale reservoirs is assessed. A more accurate shale reservoir model representing the most important features of shale formations is proposed. The objective of the work is to determine the most critical factors dominating the success of the CO2 sequestration and enhanced oil and gas recovery (EOR/EGR), which gives valuable guidance in field applications.
