A quartz enhanced photoacoustic spectroscopy (QEPAS) sensor capable to detect high
concentrations of methane (C1) and ethane (C2) is here reported. The hydrocarbons …

In the market-sha** literature, markets are viewed as the results of intentional and
planned acts. Market shapers do not often create technology themselves despite the fact that …

The complexity of geomodelling workflows is a limiting factor for quantifying and updating
uncertainty in real-time during drilling. We propose Generative Adversarial Networks (GANs) …

Modern geosteering is heavily dependent on real-time interpretation of deep
electromagnetic (EM) measurements. We have developed a methodology to construct a …

Hydrocarbon reservoirs are often located in spatially complex and uncertain geologic
environments, where the associated costs of drilling wells for exploration and development …

Deep learning (DL) inversion of induction logging measurements is used in well geosteering
for real-time imaging of the distribution of subsurface electrical conductivity. We develop a …

Geosteering of wells requires fast interpretation of geophysical logs which is a non‐unique
inverse problem. Current work presents a proof‐of‐concept approach to multi‐modal …

Geosteering, a key component of drilling operations, traditionally involves manual
interpretation of various data sources such as well-log data. This introduces subjective …

Trajectory adjustment decisions throughout the drilling process, called geosteering, affect
subsequent choices and information gathering, thus resulting in a coupled sequential …

Continuous integration of real-time logging-while-drilling data into a subsurface model with
relevant geologic uncertainties enables strategic geosteering, a field-level optimization of …