The flow of shale oil in nano-scale rock pores follows the slip flow regime, in which the flow velocity at the nanopore walls is not zero. The nano-scale effect of the boundary layer renders the slip flow effect in the nanopores non-negligible. In this study, the slip flow mechanism of shale oil in nanopores was reviewed. The nano-scale effect of the boundary layer renders the slip flow effect in the

An energy criterion model of coal and gas outbursts was established to study the energy conversion mechanism. Ideal gas law was utilized to establish a correlation between dissipated energy (i.e., energy dissipated during outbursts) and accumulated energy (potential energy leading to outbursts) in gas-containing briquettes. This relationship, along with the expression for the energy criterion, was

The Han River-to-Wei River Water Transfer (HWWT) Project not only brings evident economic benefits to the water-receiving areas but it also generates ecological flow value (EFV) by indirectly supplementing river flows. However, the EFV resulting from water transfer is often overlooked due to its indirect nature, and traditional methods tend to overestimate it due to a lack of consideration of value

The identification and mapping of geochemical anomaly patterns have emerged as a more precise and efficient approach for mineral exploration, with deep learning algorithms being extensively employed in this realm. However, existing methodologies require further investigation regarding model interpretability and correlation with established mineral control factors. This paper proposes a regional geochemical

Copper price forecasting is crucial for both investors and governments due to its significant economic impact. Recently, machine learning techniques have been widely employed to construct copper price forecasting models, demonstrating high forecasting accuracy. However, there are two main limitations in these models: (1) the lack of ability to capture the non-Euclidean relationships among numerous

Productivity in opencast mining, particularly in drill-blast (DB) and surface miner (SM) operations, is crucial for optimizing efficiency and reducing costs. These operations are directly affected by fragmentation, which in turn impacts equipment utilization, loading cycle times, and downstream operations. This study analyzed field data such as rock properties, machine parameters, blast design results

Low-permeability coal seams are widely distributed in China, with significant differences in coal ranks and properties. Identifying an effective method for nitrogen fracturing is an urgent challenge. To study the impact of coal ranks on fracturing, lignite, bituminous coal, and anthracite were used in liquid nitrogen freeze–thaw experiments. Low-field nuclear magnetic resonance was used to measure

Research on the effects of acidic and alkaline solutions and stress on coal’s pore structure has traditionally focused on larger scales, leaving a gap in understanding nanoscale impacts. This study utilized a self-developed small-angle X-ray scattering (SAXS) miniature loading system and in situ synchrotron SAXS to investigate nanopore evolution under varying pH conditions and external stress. By analyzing

This work evaluated the hydrocarbon potentiality and petrophysical properties of the Paleocene Zelten Formation in the Libyan Sirte Basin. It aimed to delineate the influence of the microfacies composition of the studied sequence on the reservoir characteristics. The study was based on petrographical and petrophysical data derived from six wells. The petrophysical data included well-logging data (gamma-ray

Coalbed methane (CBM) storage and transport are facilitated by an intricate multi-scale pore structure. It is of great significance to study the characteristics of the pore structure and its role in CBM storage and transport in order to enhance CBM extraction, prevent CBM disasters, and improve the efficiency of CO2 geological storage. Here, we review the current progress in coal reservoir pore structure

Dig-limits optimization is one of the most important steps in the grade control process at open-pit mines. It aims to send blasted materials to their optimal destinations to maximize the profitability of mining projects. Grade and blast movement are key uncertainties that affect the optimal determination of dig-limits. This paper presents an integrated workflow for optimizing dig-limits under grade

Coal and gas desorption, as a major form of gas energy release, is a key factor in triggering coal and gas outbursts. Therefore, studying the physical characteristics during coal and gas desorption is essential for understanding the development process of coal and gas outbursts. Based on gas dynamics during coal particle gas desorption, this study established a connection between gas desorption and

The surging demand for Ni and Co, driven by the acceleration of clean energy transitions, has sparked interest in the Lachlan Orogen of New South Wales for its potential lateritic Ni–Co resources. Despite recent discoveries, a substantial knowledge gap exists in understanding the full scope of these critical metals in this geological province. This study employed a machine learning-based framework

Deep coalbed methane (CBM) extraction shows that coal body structure (CBS) influences the original pore and permeability conditions of a coal reservoir and that it has a significant effect on CBM production. CBS prediction by using logging curves has become an important aspect in CBM reservoir engineering. In this study, we identified vertical development of CBS in coal seam 8 of the Benxi Formation