We propose a new approach to the convergence analysis of a finite-volume scheme for a stochastic diffusion-convection equation with multiplicative noise in a bounded domain of \(\mathbb {R}^d\) (with \(d=2\) or 3) and with homogeneous Neumann boundary conditions. The idea behind our approach is to avoid using the stochastic compactness method. We study a numerical scheme that is semi-implicit in time. The convection and the diffusion terms are approximated by an upwind scheme, and the so called two-point flux approximation scheme (TPFA), respectively. By adapting well-known methods for the time discretization of stochastic PDEs and combining them with deterministic techniques applied to spatial discretization, we show strong convergence of our scheme towards the unique variational solution of the continuous problem in \(L^p\left( 0,T;L^2(\Omega ;L^2(\Lambda ))\right) \) , for any finite \(p\ge 1\) .
