Now showing items 1-4 of 4
A Deep Learning Approach to the Inversion of Borehole Resistivity Measurements
Borehole resistivity measurements are routinely employed to measure the electrical properties of rocks penetrated by a well and to quantify the hydrocarbon pore volume of a reservoir. Depending on the degree of geometrical ...
Borehole Resistivity Simulations of Oil-Water Transition Zones with a 1.5D Numerical Solver
When simulating borehole resistivity measurements in a reservoir, it is common to consider an oilwater contact (OWC) planar interface. However, this consideration can lead to an unrealistic model since in the presence of ...
A Deep Neural Network as Surrogate Model for Forward Simulation of Borehole Resistivity Measurements
Inverse problems appear in multiple industrial applications. Solving such inverse problems require the repeated solution of the forward problem. This is the most time-consuming stage when employing inversion techniques, ...
A Numerical 1.5D Method for the Rapid Simulation of Geophysical Resistivity Measurements
In some geological formations, borehole resistivity measurements can be simulated using a sequence of 1D models. By considering a 1D layered media, we can reduce the dimensionality of the problem from 3D to 1.5D via a ...