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ISSN: 2666-7592
CN: 10-2017/TE
p-ISSN: 2097-499X

Prospects and exploration directions of deep coalbed methane resources in China

The assessment of deep coalbed methane (CBM) resource potential provides a critical scientific basis for the formulation of national energy policies and the strategic development planning of China National...

Natural fracture subsystem division and evaluation method: Integrating characteristics into structures

Foreland thrust belts are frequently characterized by complex structures, where multi-phase tectonic activity produces intricate deformation features and highly heterogeneous natural fracture systems....

Micropore structure characteristics and gas-bearing properties of deep coal reservoirs: A case study of the Benxi Formation in the Daning–Jixian Block

Micropores in deep coal reservoirs are the primary sites for the adsorption and storage of coalbed methane (CBM). Understanding these micropores, particularly characterizing their development, is therefore...

Thermal sufficiency versus hydraulic limitation: A probabilistic assessment of geothermal power feasibility in the Cambay Basin, India

Sedimentary petroliferous basins are increasingly targeted for brownfield geothermal development due to existing infrastructure and subsurface data availability. However, basin-scale screening commonly...

Design of a dual electric submersible pump hybrid lift system for ultra-deep oil wells

Ultra-deep hydrocarbon reservoirs have enormous resource potential, and oil production from ultra-deep wells contributes significantly to energy supply, imposing increasingly stringent demands on extraction...

Lithofacies-dependent pore structure heterogeneity governing microscopic oil mobilization during supercritical CO2 huff-and-puff in shale

This study systematically analyzes the pore properties and multifractal features of three typical shale lithofacies in the Kongdian Formation of Bohai Bay Basin, East China. The results show that laminated...

Wind energy capacity and generation forecasting: Machine learning-based projections for the international markets to 2030

As a clean and renewable energy source, wind energy helps combat emissions and climate change. This study presents a comprehensive machine learning approach to forecast the worldwide wind energy capacity...

Unique chemical and isotopic characteristics and origins of high mature natural gases in the Ordovician marine formations in the Weiyuan area, Sichuan Basin, China

Large quantities of natural gases have recently been discovered in the marine carbonate formations in the Honghuayuan Formation (O1h) and Baota Formation (O2b) in the Weiyuan area, Sichuan Basin, China,...

Role of ammonium in CO2 mineralization and enhanced oil recovery

This study presents a novel ammonium-assisted surface treatment strategy that couples CO2 mineralization with smart water (SW) injection for carbonate reservoirs, enabling simultaneous carbon utilization...

Cross-well identification of gas hydrates based on well logging and machine learning: A case study from ODP Leg 204

Accurate identification of gas hydrate-bearing intervals is essential for marine energy resource evaluation and geohazard assessment. While machine learning (ML) approaches have shown promising performance...

Interpretable deep learning-based fracture prediction method: A case study from the Tarim Basin, China

In tight sandstone gas reservoirs, fractures play a critical role in enhancing reservoir permeability and connectivity. Seismic-based fracture prediction methods offer advantages in characterizing the...

Coupled multiphysics mechanisms, impurity effects, and operational insights for CO2 storage in depleted gas reservoirs

Depleted gas reservoirs offer promising options for large-scale CO2 sequestration due to their pre-existing pore networks, low formation pressure at the start of injection, demonstrated caprock integrity,...

Data-driven proxy models for geothermal doublet performance with and without CO2 reinjection

Geothermal reservoirs in Western Türkiye contain significant amounts of dissolved CO2, leading to operational and environmental challenges related to surface emissions. Although CO2 reinjection is a...

Geosystematical insights into tectonic and sedimentary processes for analyzing hydrocarbon potential in the central Lurestan province, Zagros

The Central Lurestan province of the Zagros Fold-Thrust Belt represents a major hydrocarbon play characterized by complex structural architecture, fracture-dominated reservoirs, and significant overpressure....

Quantitative uranium evaluation in multi-angle fractured sandstone deposits using a nuclear-feature separation network

Uranium deposits have long been a focus of energy exploration due their importance as a clean energy resource. Accurate uranium quantification in sandstone-hosted deposits remains challenging because...

Pore-throat structure and its controls on reservoir properties and oil charging threshold of shale reservoirs in the Lucaogou Formation of Jimsar Sag, Junggar Basin, China

To clarify the pore-throat structure characteristics, their correlation with reservoir physical properties, and the oil charging thresholds of continental shale oil reservoirs, this study focuses on...

Log-based fracturing interval selection of granitic hot dry rocks in well FSR-1, Beibu Gulf Basin, South China

In 2024, a significant breakthrough was achieved in well FSR-1, a scientific exploration well targeting deep geothermal resources in the Beibu Gulf Basin along the coastal region of South China. This...

Impact of particle transport dynamics on reservoir quality: From laboratory experiments to field-scale applications

In the waterflooding process of fine-grained silty sandstone reservoirs, fine particles frequently migrate toward near-wellbore regions, potentially plugging the sand control system. This migration...

Quantitative geophysical prediction of shale TOC based on neural networks: A case study in the southern Sichuan Basin, China

Accurate prediction of total organic carbon (TOC) content is critical for evaluating the quality of hydrocarbon source rocks at drilling sites. Conventional well logging data, however, fall short in...

Temperature-driven enhancement of methane-water displacement in low-rank coal: Experimental insights for deep CBM recovery

Gas-water two-phase seepage is a key factor governing recovery efficiency during deep coalbed methane (CBM) extraction. Gas-driven water displacement experiments in coal provide essential insights into...

Carbon capture, utilization, and storage: Advances made by Sinopec and future prospects

Carbon capture, utilization, and storage (CCUS) has emerged as a critical technology for addressing climate change and achieving net-zero emissions. Since the 1980s, Sinopec has actively advanced research...

Formation mechanisms and resource potential of typical carbonate geothermal reservoirs in the Fen Wei Graben System, China

The Fen Wei Graben System, a Cenozoic intracontinental rift basin dominated by far-field tectonic stress in China, hosts abundant geothermal resources, with carbonate formations serving as important...

Intelligent assessment and deflection patterns of in-situ stress orientations along wellbores in shale reservoirs: A case study of the Longmaxi Formation within a complex folded area in the southern Sichuan Basin

Complex tectonic belts along the margins of the southeastern Sichuan Basin have emerged as key areas for reserve growth of shale gas in the Longmaxi Formation. However, the superimposition of multi-stage...

Application of magnetotelluric sounding in the exploration of geothermal resources in Banqiao Sag of the Bohai Bay Basin, China

The Banqiao Sag possesses a substantial potential for geothermal resources, yet the geothermal geological research in this area remains limited. This study aims to explore the stratigraphic structure...

Resistivity restoration using Spiking Neural Networks for water-flooded zone interpretation in high water-cut sandstone reservoirs

Addressing the technical bottleneck of distorted dynamic resistivity responses in water-flooded zones during the development of high water-cut oilfield, where traditional static models and machine learning...

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