Being introduced in the last decade for proactive geosteering, directional resistivity logging-
while-drilling (DRLWD) measurements have been used to predict and invert formation …

We developed an efficient parametric inversion method for the determination of the
distances to boundaries (DTBs), dip angle, and formation anisotropic resistivities from …

The inverse problems arise in almost all fields of science where the real-world parameters
are extracted from a set of measured data. The geosteering inversion plays an essential role …

As the depth of detection of logging-while-drilling azimuthal resistivity tools increases, more
details about formation structure fall into the detection zone. The complicated measurement …

Drilling services and oil companies have long been interested in acquiring the capability of
landing a well accurately in a hydrocarbon reservoir and remaining in it for optimal drainage …

Abstract Information about anisotropic resistivity is essential in real-time correlation,
updating of formation model and making more confident geosteering decisions in logging …

Optimal field development often entails placing the wells in prescribed locations within the
reservoir. An error of a few meters in height above the oil/water contact or with respect to the …

Geosteering is the proactive control of a wellbore placement based on the downhole
measurements, aiming at maximizing economic production from the well. The recent …

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 …

This paper introduces a novel deep learning architecture for solving inverse problems using
LWD azimuthal resistivity measurements, which are essential to adjusting the wellbore …