In this work, a novel water plugging agent, hydrophobic modified silica particle (HMSP)-surfactant-stabilized cottonseed oil emulsion, for oil recovery enhancement was developed. The stability and rheology experimental results displayed that the synergistic interaction between the HMSP and surfactant was formed, which could remarkably improve the stability and increase the viscosity of the emulsion system. The microscopic visualization tests suggested that there was a bicontinuous structure in the HMSP-surfactant-stabilized emulsion. Moreover, the sand pack flooding tests showed that the sweep and displacement efficiency could be significantly enhanced after HMSP-surfactant-stabilized emulsion injected. The blocking rates of HMSP-surfactant-stabilized emulsion and individual surfactant-stabilized emulsion are 98.7% and 52.9%, respectively. The above results can be considered as a guidance in the design and studies of HMSP-stabilized emulsion for a selective plugging.

Water channeling during water injection in mid-to-late development stages of low-permeability reservoirs in Xinjiang leads to a rapid water cut increase and reduced oil displacement efficiency, causing significant economic losses. This study systematically investigated two chemical systems—a polyurethane (PU) plugging system and a urea-formaldehyde (UF) plugging system—under simulated Xinjiang reservoir conditions. The PU plugging system formulation was optimized through control variable experiments, and both systems were evaluated for rheological properties, curing behavior, mechanical strength, salinity and temperature adaptability, and plugging performance using sand-pack displacement tests. The optimized PU plugging system cured at 80 °C for 1 h achieved a maximum plugging rate of 96% and a breakthrough pressure gradient of 4.2 MPa·m⁻¹. The UF plugging system exhibited distinct temperature-triggered gelation, with viscosity rising exponentially above 60 °C, providing a plugging rate of 70% and a breakthrough pressure gradient of 1.0–2.0 MPa·m⁻¹, suitable for deep fluid diversion. The PU plugging system offers high-strength near-wellbore plugging, while the UF plugging system enables controllable deep fluid diversion. Their complementary properties provide a comprehensive technical strategy for water channeling control in different low-permeability and high-temperature reservoirs in Xinjiang Oilfield.

As the digitalization and intelligence of power systems continue to advance, traditional security technologies are increasingly unable to meet the cybersecurity demands of power systems. This paper investigates the fundamental architecture of power systems and proposes the use of deep learning-based intrusion detection technology to defend against cyberattacks on power systems, based on an analysis of cybersecurity risks. This framework processes the temporal characteristics of network traffic using a Gated Recurrent Unit (GRU), then employs a Convolutional Neural Network (CNN) to reduce the feature space and effectively filter noise from the time series, demonstrating high accuracy in distinguishing benign traffic from evolving cyber threats and attacks. Finally, the model is tested using the CICIDS2017 dataset. Compared with other deep learning-based intrusion detection models, the proposed model achieves a detection accuracy of 98.8% based on comprehensive evaluation metrics such as accuracy.

In the middle-to-late stage of reservoir development, widespread high-permeability channeling exacerbates ineffective water circulation and impairs crude oil recovery. This work explores polyacrylamide (PAM) gels intended for oilfield profile control and water shut-off. It comprehensively compares gelation behaviors and performance metrics of diverse cross-linking and modification strategies, and pinpoints critical unresolved research gaps. Four representative PAM-gel systems are analyzed in detail, including organic-crosslinked, metal-crosslinked, nano-composite-modified, and delayed-crosslinker formulations. The results show that polyethyleneimine (PEI) cross-linked gels achieve a storage modulus of 780 kPa at 110 °C, which is superior to the conventional hydroquinone-hexamethylenetetramine (HQ-HMTA) system. Metal-crosslinked gels are prone to syneresis and structural instability above 70 °C. Nanocomposite modification significantly enhances gel comprehensive properties: nano-silica improves thermal resistance to 155.5 °C; modified nano-graphite doubles storage modulus (G′), shortens gelation time by half, and maintains 76.5% of initial modulus after 60-day aging at 130 °C; TOCN-reinforced gels preserve structural integrity under high-salinity environments at 140 °C for 108 h. Delayed-release cross-linkers can extend gelation time up to 17 days to meet the demands of deep in situ profile control. Furthermore, the emerging data-driven paradigm of artificial-intelligence-assisted gel optimization is also reviewed, together with its current limitations. Future research priorities cover intelligent responsive gel materials, environmentally benign cross-linkers, and unified evaluation specifications for heterogeneous reservoirs. This paper reviews over 100 core publications from 2000 to 2026 based on the Web of Science and Engineering Village databases. Different from existing studies, this work emphasizes the molecular crosslinker mechanisms, nanomodification reinforcement, and field performance variations of PAM gel systems, and concludes the major technical bottlenecks for their application in harsh reservoirs. Meanwhile, it quantitatively compares the performance of modified PAM gel formulations and clarifies the applicable temperature ranges of different crosslinker schemes, providing technical references for the development of PAM plugging agents for complex oil reservoirs.