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 …

Highlights•A new method for real-time prediction of measurement point and vertical reservoir
boundary distance (D-MP-VRB) while drilling is proposed. Real-time prediction models for D …

Various logging-while-drilling (LWD) and seismic-while-drilling (SWD) tools offer
opportunities to obtain geological information near the bottomhole assembly during the …

Proactive geosteering workflows include a number of steps that are repeated as the drilling
operation progresses. First, various measurements such as gamma ray, gravity or …

Deep neural network (DNN)-based methods are suitable for the rapid inversion of borehole
resistivity measurements. They approximate the forward and the inverse problem offline …

The inversion of logging-while-drilling (LWD) measurements using deep learning (DL)(data-
driven approach) is a rapidly growing topic of interest in well geosteering. DL inversion …

When simulating borehole resistivity measurements in a reservoir, it is common to consider
an oil-water contact (OWC) planar interface. However, this consideration can lead to an …

Abstract Systems, devices, and methods for evaluating an earth formation. Methods may
include inducing a current in the formation; measuring a time-dependent transient …

Abstract Logging-while-drilling (LWD) imaging solutions have been a part of the oil and gas
formation evaluation technologies portfolio for quite some time. Lately, most LWD solutions …

In a low-permeability Middle East carbonate reservoir, geologists, petrophysicists, and
reservoir and drilling engineers had multiple requirements to optimally place the well …