The well log inversion has been widely applied to forecast coal texture distribution due to its
effectiveness and low investment. However, most research missed the low resolution of well …

In the context of geo-infrastructures and specifically tunneling projects, analyzing the large-
scale sensor-based measurement-while-drilling (MWD) data plays a pivotal role in …

Manually interpreting multivariate drill hole data is very time-consuming, and different
geologists will produce different results due to the subjective nature of geological …

A 3D geology model is a simplified version of the true geology, designed to give a visual
summary of the geometry and distribution of major geological elements in a specified region …

In this work, we propose the application of the wavelet transform analysis in well-logs
(radioactivity, resistivity and sonic) to identify facies. The wavelet transform is applied to a set …

Accurate lithology identification is fundamentally crucial to reservoir evaluation from
geophysical well logs. However, the traditional way of lithological identification is carried out …

The collection of sensor-based data is dramatically increased in the mining industry. One of
the widely used applications of the collected data is to identify rock domains and to estimate …

Accurate prediction of formation tops and lithology plays a critical role in optimizing drilling
processes, cost reduction, and risk mitigation in hydrocarbon operations. Although several …

The mutation detection is an effective identification method of well logging curves, which can
be utilized to detect mutations of the correlation time series by a sliding window technology …

Manual interpretation of data collected from drill holes for mineral or oil and gas exploration
is time-consuming and subjective. Identification of geological boundaries and distinctive …