Unsupervised machine learning using an unsupervised vector quantization neural network
(UVQ-NN) integrated with meta-geometrical attributes as a novel computation process as …

Abstract Machine learning techniques combined with multi-seismic attributes and well logs
datasets have been successfully used in reducing the risk of drilling operations and …

Abstract The Early Cretaceous reservoir system of the Indus basin has a suite of
stratigraphic-based trapped petroleum plays such as the fluvial-dominated channelized …

The imaging of volcanic systems is a challenging topic that attracts the scientific community's
attention. The characterization of structures and rock properties by means of seismic active …

Abstract The Upper Miocene Qawasim Formation is an important hydrocarbon reservoir of
the West Dikirnis field, onshore Nile Delta. Here we present a detailed assessment of the …

The eastern part of the offshore Nile Delta is one of Egypt's most productive gas provinces.
This study utilizes well logs dataset and 2D seismic from Port Fouad marine (PFM) Field to …

Quantitative reservoir characterization plays a vital role in exploring carbonate depositional
systems. The subsurface vertical and lateral changes in the tectonics and sea level …

Seismic data are usually contaminated with random and coherent noise. This noise prevents
the accurate imaging of seismic sections and lead to mistakes in their interpretations. The …

Predicting petrophysical parameters, particularly saturation, is a common challenge due to
the lack of direct relationships with seismic elastic attributes. Therefore, in this paper, we …

Noises are common events in seismic reflection data that have very striking features in
seismograms, affecting seismic data processing and interpretation. Noise attenuation is an …