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Open access

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

Dynamic monitoring and effectiveness evaluation of mid-deep coalbed methane hydraulic fracturing via the wide-field electromagnetic method

To address the limited understanding of hydraulic fracture propagation and the challenges in quantitatively evaluating stimulation performance in heterogeneous mid-deep coalbed methane (CBM) reservoirs,...

Synergistic mechanisms for improving steam flooding effects during thermal-chemical hybrid fluid injection in heavy oil reservoirs

Heavy oil recovery via steam flooding faces multiple challenges such as steam breakthrough, high water cut, and low oil production rate. This study investigates the synergistic effects of N2 foam +...

Dynamic evolution of thermal conductivity of crude oil and formation water under coupled temperature and pressure conditions: A case study of the Chang 7 Member in the Yanchang Formation, Ordos Basin, China

Formation fluid significantly influences the thermal conductivity distribution of rocks under in-situ conversion conditions. Current thermal conductivity measurements are primarily conducted on rocks,...

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...

A fracture identification method for tight sandstone reservoirs based on multidimensional well-log data fusion: A case study of the Chang 6 Member of the Yanchang Formation in the Wuqi area, Ordos Basin

The Ordos Basin is a stable cratonic basin, characterized by tight sandstone oil reservoirs of the 6th member of the Yanchang Formation (Chang 6 Member) with multi-scale fracture systems of diverse...

Characteristics of the morphology, distribution, sulfur isotopes, and genesis of pyrite in source rocks of the Upper Triassic Chang 7 Member, Ordos Basin, China

The Ordos Basin, one of the major petroliferous basins in northern China, hosts the Chang 7 Member (also called Chang 7 Member in some literature) of the Upper Triassic Yanchang Formation as its most...

High-resolution T-R sequence architecture and sedimentary filling evolution of the Silurian Hanjiadian Formation, Sichuan Basin, southwest China

The Middle Silurian Hanjiadian Formation is a promising exploration target for hydrocarbon resources in the Sichuan Basin. Historically, research on this formation remains limited, leading to a poor...

Prediction of microseismic energy evolution in underground gas storage based on Variational Mode Decomposition and Deep Learning

Accurately predicting the evolution of microseismic energy is of great significance for identifying the potential operational risks and ensuring safe operation of underground gas storage (UGS) facilities....

Hybrid MSCNN-AttBiGRU neural network for time-series well performance forecast

Precise prediction of well performance is vital for making informed project decisions and promoting efficient, cost-effective development of oil and gas fields, notably in unconventional reservoirs....

Geothermal frontiers: Scaling subsurface solutions for urban resilience and global energy security

Geothermal energy presents a unique opportunity to address the global energy trilemma of security, sustainability, and affordability while supporting resilient infrastructure and urban development....

Assessment of geological characteristics of the Lower Paleozoic carbonate geothermal reservoir in the Jiyang Depression and the geothermal resource potential of the Gudong buried hill

Deep geothermal resources hold significant potential, and their large-scale development is critical for ensuring national energy security and achieving China's national “dual-carbon” strategic goals...

Prediction of gas production for shale matrix–fracture systems using deep operator network-ensembled physics-informed neural networks

Shale gas production forecasting remains challenging because flow is governed by strong nonlinearity, matrix–fracture interaction, and regime-dependent transport behaviour, while available production...

Prediction of effective source rocks in deep-water basins via integrated geochemical, sedimentary, and seismic analyses: A case study in the Changchang Sag, Qiongdongnan Basin, South China Sea

The Changchang Sag, located in the Qiongdongnan Basin in the South China Sea, is a particularly promising area for deep-water hydrocarbon exploration. The spatial distributions and geochemical features...

Machine-learning prediction of flow partitioning, bottom-hole pressure, and fracture-tip pressure in horizontal water injectors with a single transverse fracture

Machine learning (ML) has advanced reservoir engineering by enabling data-driven optimization for improved injection performance and cost efficiency. This study develops three supervised ML regression...

Mechanistic constraints on hydrogen-induced pyrite reduction

MALIK et al. (2026) investigated hydrogen-induced pyrite reduction and associated H2S generation under hydrothermal conditions relevant to underground hydrogen storage (UHS). They report measurable...

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...

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