Efficient 2.5D Resistivity Modelling Using A Quadtree Discretization

We explore methods for improving the numerical efficiency to solutions of the 2.5D resistivity forward problem. By employing a quadtree structured mesh discretization, fewer model cells are<br>required in the solution and the volume of interest is easily extended so that zero-flux boundary conditions are satisfied. When these alterations are combined with matrix factorization methods we generate a computationally expedient solution to the 2.5D DC resistivity forward problem. A fast and accurate forward modelling forms the foundation of an inversion. Here we illustrate this by carrying out an inversion on a simulated data set.