1.9 Conclusion

Reservoir modeling didn’t invent data and knowledge integration, but it can be seen as one of its modern implementations. As illustrated in this chapter, and further investigated in the next ones, a reservoir model can’t be good if the modeler don’t collaborate with his/her team.

Uncertainty management is the second important notion. With so few data available, we in fact know very little about the reservoir. Reservoir modeling is tailored to capture those uncertainties. Uncertainty will be also discussed in each remaining chapter.

Before the contribution of each team member is further investigated, the next chapter will focus on geostatistics, an essential set of techniques for every reservoir modeler.

For those looking for more introduction on geomodeling, (Ringrose and Bentley, 2015) is a must-read. It gives a very good overview of the reservoir modeling workflow, without being heavy on the mathematics.

Table of contents


Chapter 1 - Overview of the Geomodeling Workflow

Chapter 2 - Geostatistics

Chapter 3 - Geologists and Geomodeling

Chapter 4 - Petrophysicists and Geomodeling

Chapter 5 - Geophysicists and Geomodeling

Chapter 6 - Reservoir Engineers and Geomodeling

Chapter 7 - Reserve Engineers and Geomodeling

Chapter 8 - Production Engineers and Geomodeling

Chapter 9 - Managers and Geomodeling


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