Fundamentals Of Streamline Model For Waterflooding

This course is about how to use python to model Waterflooding. Waterflooding is the most popular secondary recovery technique widely practiced throughout E&P industry. However, there are no simple tools to model waterflood to answer some of the basic questions like when to expect breakthrough of water, how the flood front looks like, are there any opportunities to improve ongoing waterflood and how heterogeneities impact waterflood performance.

Although Commercial Numerical Simulation approaches are available, they require specialised training which is time consuming. With the popularity of python, it is possible to understand the intricacies of a waterflood process in a more transparent manner.

The course is meant for Reservoir Engineers, Geoscientists working in Sub Surface team and all those concerned with reservoir management of waterflood processes in an oil field. Working knowledge of python/running python programs in a GoogleColab environment is assumed.

The participants will get an in-depth view of how injected water moves from water injection wells to oil production wells. They will explore the python programs to study various kinds of sensitivities of waterflood performance to placement of injectors and producers and how the heterogeneities in permeability and effective thickness will impact waterflood performance. It will also provide an insight in on how the convective and diffusive displacement takes place along streamlines.