Lacustrine shale oil reservoirs of the Fengcheng Formation in the Mahu Sag, Junggar Bain,
NW China contain abundant oil resources, with the highest daily oil production of a single …

Geophysical logging series are valuable geological data that record the physical and
chemical information of borehole walls and in-situ formations, and are widely used by …

This study endeavors to delve into the microscopic mechanisms of hydration-induced
damage in tight conglomerates. Initially, we obtained data on the micro-morphology …

The wind turbine has rapidly developed worldwide with increasing height and scale,
resulting in the increased risk of lightning strikes. When wind turbines were stroke by the …

The analysis of interwell connectivity plays an important role in the formulation of oilfield
development plans and the description of residual oil distribution. In fact, sandstone …

The process of enhanced oil recovery (EOR) and core flooding involves various challenges
such as preserving cores, configuring experiment setup, scaling from the laboratory to the …

Lithology identification using logging data is an essential part of geophysical reservoir
characterization. Reliable core samples are very limited, which means that it is usually …

Modeling the drill bit Rate of Penetration (ROP) is crucial for optimizing drilling operations as
maximum ROP causes fast drilling, reflecting efficient rig performance and productivity. In …

Machine learning is the main technical means for lithofacies logging identification. As the
main target of shale oil spatial distribution prediction, mud shale petrography is subjected to …

In this study, we propose a novel method for identifying lithology using an attention
mechanism-enhanced graph convolutional neural network (AGCN). The aim of this method …