Enhanced Oil Recovery

Enhanced-Oil Recovery (EOR) evaluations focused on the acquisition of different combinations. EOR projects have been traditionally associated with high CAPEX and OPEX, as well as high financial risk, which is the limit of EOR projects launched. In this book, the authors propose workflows for EO. This flexible workflow has been successfully applied to oil reservoirs. The methodology associated with the workflow relies on traditional (look-up tables, XY correlations, etc.) and more advanced (data mining for analog reservoir search and geology indicators). The screening phase is combined with analytical or simplified numerical simulations to estimate the full-field performance by using reservoir data-driven segmentation procedures.

• Case Studies form Asia, Canada, Mexico, South America and the United States






• Assets tests include reservoir types ranging from oil sands to condensate reservoirs.








• Different stages of development and information availability are discussed

Introduction

Part One: Methodology

Conventional screening, Geological screening, Advanced screening, Evaluation of "soft variables", Performance prediction

Part Two: Field Cases Type I: Lack of data and time constraints

Case study A, Case study B, Case study C.

Part Three: Field Cases II: Not enough time to use sufficient data

Case study D, Case study E, Case study F.