  We present a framework for integrated experiments and simulations of tracer
transport in heterogeneous porous media using digital twin technology. The
physical asset in our setup is a meter-scale FluidFlower rig. The digital twin
consists of a traditional physics-based forward simulation tool and a
correction technique which compensates for mismatches between simulation
results and observations. The latter augments the range of the physics-based
simulation and allows us to bridge the gap between simulation and experiments
in a quantitative sense. We describe the setup of the physical and digital
twin, including data transfer protocols using cloud technology. The accuracy of
the digital twin is demonstrated on a case with artificially high diffusion
that must be compensated by the correction approach, as well as by simulations
in geologically complex media. The digital twin is then applied to control
tracer transport by manipulating fluid injection and production in the
experimental rig, thereby enabling two-way coupling between the physical and
digital twins.
