This study focuses on the mechanisms responsible for enhanced oil recovery (EOR) from fractured carbonate reservoirs by surfactant solutions, and methods to screen for effective chemical formulations quickly. One key to this EOR process is the surfactant solution reversing the wettability of the carbonate surfaces from less water-wet to more water-wet conditions. This effect allows the aqueous ...

This paper describes a determination of critical gas saturations and relative permeabilities relevant to the depressurisation of two North Sea fields. A series of reservoir condition coreflood experiments and associated numerical simulations is described. Four experiments were conducted with aged cores and fluids and each comprised of a waterflood, followed by depressurisation at different rate...

In this paper, we describe an approach to combining a reservoir simulation with 3-D visualization and virtual reality technology. Our prototype VR/visualization system minimizes human-machine interface barriers and provides enhanced control ●Lever 4.:-, ,1-+:AR LIIC allllulatwil, therebjj maximizing scientific judgment and use of intuition. We illustrate the practical advantage of using the VR/...

We describe a poreto reservoir-scale investigation of wettability variation and its impact on waterflooding. We use a three-dimensional pore-scale network model of a Berea sandstone to predict relative permeability and capillary pressure hysteresis. We successfully predict experimentally measured relative permeability data for the water-wet case, and demonstrate that the model captures experime...

In the last 3 years there has been a huge increase in the use of pore-scale modeling to study multiphase flow and transport in porous media. Starting from single pore models of fluid arrangements, computations of relative permeability, interfacial area, dissolution rate and many other physical properties have been made. Combined with a realistic description of the pore space, predictive modelin...

In the petroleum industry, artificial intelligence has been applied in seismic and logging interpretation, accurate modeling, optimized drilling operations, well dynamics prediction, safety warning, etc. However, field-scale application deployment remain a challenge due to lack of sufficiently powerful algorithms for integration multi-granularity data time space domain, construction deep-learni...