Multi-scale Numerical Studies on Characterization of Shale Gas Reservoir Development
AdvisorChen, Zhangxing (John)
Committee MemberMoore, Robert Gordon
Hejazi, Seyed Hossein
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AbstractFrom 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.
Schulich School of Engineering