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 …

We have developed an efficient inversion method to estimate layer-by-layer electric
resistivity from logging-while-drilling electromagnetic induction measurements. The method …

Deep learning (DL) is a numerical method that approximates functions. Recently, its use has
become attractive for the simulation and inversion of multiple problems in computational …

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 …

Estimating in situ petrophysical and compositional properties of rocks (eg, porosity,
mineralogy, and fluid saturation) from well logs and core measurements is critical for the …

We have developed a new method for the fast inversion of borehole resistivity
measurements acquired in multiple wells using logging-while-drilling instruments. There are …

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 …

One of the major challenges in the interpretation of sonic logs is the presence of bed-
boundary (shoulder-bed) effects, which can decrease the accuracy of the estimated elastic …

Borehole nuclear measurements are fundamental for the geosciences in general, and the
petroleum industry in particular. They provide a variety of well logs from which …

We present systematic sensitivity analyses of logging-while-drilling azimuthal resistivity
measurements (ARM). These analyses provide us the clear images of the sensitivities of the …