Risk Of Leakage Research Articles

ОСОБЛИВОСТІ ВПРОВАДЖЕННЯ МОНІТОРИНГУ ПЕРСОНАЛУ НА СУЧАСНИХ ПІДПРИЄМСТВАХ

Businesses related to various niches and industries use employee monitoring to protect themselves from potential risks of data leakage and other external threats. Employee monitoring is a new strategy in today's business that is central to improving productivity and operational efficiency. The application of scientific methods of monitoring and analyzing the activities of employees in real time allows organizations to achieve a high level of accountability, optimal allocation of resources and making informed management decisions. Such a monitoring system contributes to the rise and development of the enterprise, creating a more productive and motivated work environment. The article examines the peculiarities of the implementation of employee monitoring as an important tool for ensuring the efficient operation of the enterprise, maintaining labor discipline and rational use of resources. Separate forms of monitoring that are used in practice are considered. Attention is focused on the legal aspects of the monitoring process, compliance with the needs of both employers and employees, in particular, taking into account the rights and privacy of the latter. In the modern conditions of business operation and development, employers have an interest in the most efficient use of their staff's working time. Time control is one way to achieve this. Controlling working hours can be efficient and beneficial for a company, but it can also raise certain ethical and legal issues. It is important that this control is carried out in compliance with all relevant legal requirements and taking into account the rights and interests of employees. Therefore, the employer must develop and implement internal regulatory documents that regulate monitoring procedures, as well as ensure that employees are informed about their rights and obligations in this process. This will avoid conflicts and ensure the legal purity of monitoring, maintaining a balance between the needs of the enterprise and the rights of employees. The choice of personnel monitoring and tracking tools is not limited to technical aspects, but includes the creation of a culture of trust and openness in the relationship between the employer and employees.

Assessing Leakage Risks of Hydrogen through Aquifers and Caprocks

Assessing Leakage Risks of Hydrogen through Aquifers and Caprocks

Optimizing hydraulic systems through connection reduction: Mitigating leakage risks

The article discusses the application of the additive manufacturing method DMLS (Direct Metal Laser Sintering), using AlSi10Mg powder for consolidating components used in hydraulic systems to enhance their reliability and reduce the risks associated with potential leaks. Strength tests were conducted, and the difference between a traditional joint and a printed filter connection head was presented. The dimensions and weight of both components are shown in a table. The strength parameters of the printed components are comparable to those manufactured using traditional methods. The results of these tests demonstrate that the produced elements fulfill their function while simultaneously reducing the number of parts in the system and minimizing the areas that require precise sealing preparations. The obtained results provide a solid foundation for further research on the application of this technology in hydraulic systems.

Percutaneous Mesh-Container-Plasty versus Percutaneous Kyphoplasty in the Treatment of Osteoporotic Compression Fractures with Up-Endplate Injury: A Retrospective Study

Percutaneous mesh-container-plasty(PMCP), a modified traditional percutaneous kyphoplasty(PKP)technique, is increasingly being used to treat osteoporotic vertebral compression fractures(OVCF) with up-endplate injury. This retrospective study aimed to compare the clinical and radiological results of PKP and PMCP for the treatment of this disease. We retrospectively analyzed the medical records of patients with osteoporotic compression fractures and upper endplate injuries treated at our hospital between January 2019 and December 2021. A total of 192 patients who met the inclusion and exclusion criteria were enrolled. Of these, 103 underwent PKP and 89 underwent PMCP. Key outcome measures included surgical safety, clinical efficacy, and radiological results. Both the PKP and PMCP groups showed significant improvements in VAS (Visual Analog Scale) and ODI (Oswestry Disability Index) scores postoperatively. Additionally, anterior vertebral body height ratio (AVBHr) and Cobb's angle improved in both groups, though no statistically significant difference was observed between them. The hospital stay duration was similar between the two cohorts. Notably, the PMCP group required a larger volume of bone cement injection, yet exhibited a significantly lower incidence of cement leakage and adjacent vertebral fractures (9/89 and 2/89, respectively) compared to the PKP group (24/103 and 11/103, respectively) (p < 0.05). Moreover, the PMCP group had shorter operation times (34.64 ± 9.88 minutes) and reduced fluoroscopy frequency (35.43 ± 5.46 instances) compared to the PKP group (27.23 ± 8.54 minutes and 23.87 ± 5.59 instances, respectively) (p < 0.05). PMCP provided superior clinical outcomes for the management of osteoporotic compression fractures with upper endplate injuries. It was associated with reduced operation and fluoroscopy times, as well as lower risks of adjacent vertebral fractures and cement leakage, compared to PKP.

Combined intra-extradural approach for posterolateral thoracic disk herniations: how I do it.

Thoracic disc herniation is a rare degenerative spine disease that can cause severe neurological deficits. Nowadays, controversies still stand on the most effective surgical route. Herein, we describe the combined intra-extradural approach for a posterolateral thoracic disk herniation. We divided the technique into four steps: bony, extradural, intradural and intra-extradural. We disclose perioperative shrewdness aimed at improving outcomes and reducing complications. The combined intra-extradural approach represents an effective technique for posterolateral thoracic disk herniations, reducing both the risk of spinal cord damages and post-operative CSF leaks.

Clinical effect analysis of vertebroplasty with high viscosity and standard bone cement for Kummell disease.

This study aims to observe and compare the effects of high-viscosity bone cement versus standard bone cement on the postoperative outcomes of percutaneous vertebroplasty (PVP) in patients with Kummell disease. A retrospective analysis was conducted on 135 patients with Kummell disease who underwent PVP between January 2019 and May 2023. Patients were divided into 2 groups: the high-viscosity group (group H, 63 cases) received high-viscosity bone cement during surgery, while the standard group (group S, 72 cases) received standard bone cement. Surgery duration, bone cement volume, bone cement leakage rate, as well as preoperative and postoperative evaluations using the Visual Analogue Scale (VAS) for pain, Oswestry Disability Index (ODI), anterior vertebral height, and kyphotic Cobb angle were recorded and compared between the 2 groups. In the group H, significant improvements were observed in VAS scores, ODI, anterior vertebral height, and Cobb angle at 24 hours, 3 months, and 1 year postoperatively compared to preoperative values (P < .01). In the group S, VAS scores and ODI showed significant improvement at 24 hours, 3 months, and 1 year postoperatively (P < .01), but there were no significant differences in anterior vertebral height or Cobb angle compared to preoperative values (P > .05). Comparatively, the group H demonstrated superior outcomes in terms of bone cement volume, leakage rate, recovery of anterior vertebral height, and Cobb angle correction at 24 hours, 3 months, and 1 year postoperatively (P < .05). However, there were no significant differences between the 2 groups in terms of surgery duration, VAS scores, and ODI at the same time points (P > .05). PVP is an effective treatment for Kummell disease, providing significant pain relief and improved spinal function. The use of high-viscosity bone cement allows for greater volume infusion, better restoration of vertebral height, and correction of deformities, while also reducing the risk of cement leakage.

Reactive oxygen species-mediated organic long-persistent luminophores light up biomedicine: from two-component separated nano-systems to integrated uni-luminophores.

Organic luminophores have been widely utilized in cells and in vivo fluorescence imaging but face extreme challenges, including a low signal-to-noise ratio (SNR) and even false signals, due to non-negligible background signals derived from real-time excitation lasers. To overcome these challenges, in the last decade, functionalized organic long-persistent luminophores have gained much attention. Such luminophores could not only overcome the biological toxicity of inorganic long-persistent luminescent materials (metabolic toxicity and leakage risk of inorganic heavy metals), but also continue to emit long-persistent luminescence after removing the excitation source, thus effectively improving imaging quality. More importantly, organic long-persistent luminophores have good structure tailorability for the construction of activable probes, which is favorable for biosensing. Recently, the development of reactive oxygen species (ROS)-mediated long-persistent (ROSLP) luminophores (especially organic small-molecule ROSLP luminophores) is still in the rising stage. Notably, ROSLP luminophores for in vivo imaging have experienced from two-component separated nano-systems to integrated uni-luminophores, which obtained gradually better designability and biocompatibility. In this review, we summarize the progress and challenges of organic long-persistent luminophores, focusing on their development history, long-persistent luminescence working mechanisms, and biomedical applications. We hope that these insights will help scientists further develop functionalized organic long-persistent luminophores for the biomedical field.

Mediastinal drainage combined with upper mediastinal re-tunneling vs. mediastinal drainage alone in McKeown esophagectomy of esophageal cancer: a retrospective study.

Although mediastinal drainage may lower the risk of anastomotic leakage, the incident rate of anastomotic leakage is still high. The current study aimed to compare the effects of mediastinal drainage combined with upper mediastinal re-tunneling with mediastinal drainage only on anastomotic leakage after McKeown esophagectomy for esophageal cancer. From October 2018 to March 2021, 52 patients diagnosed as esophageal carcinoma were included in the study. 21 patients received mediastinal drainage combined with upper mediastinal re-tunneling (re-tunneling group) and 31 received mediastinal drainage only (standard group) after McKeown esophagectomy. The incidence rate of anastomotic leakage, mediastinal infection, chylothorax, thoracic infection, the peak value of leukocyte count and the mortality related to anastomotic leakage were compared between the two groups. One (4.8%) patient in the re-tunneling group developed anastomotic leakage, and no patient experienced mediastinal infection or thoracic infection. Four (12.9%) patients in the standard group developed anastomotic leakage, and all these patients experienced mediastinal infection and thoracic infection (p < 0.05). The drainage volumes of patients in the re-tunneling group and the standard group were (170 ± 60) ml and (155 ± 45) ml, respectively, with no significant difference between the two groups (p > 0.05). The peak values of leukocyte count and temperature in the re-tunneling group were (14.28 ± 1.12) × 109/L and (38.6 ± 1.1) °C, both lower than that of the standard group[ (16.48 ± 1.15) × 109/L and (38.9 ± 1.2) °C, respectively]. But the difference was not statistically significant (p > 0.05). No anastomotic leakage related death occurred in both groups. Mediastinal drainage combined with upper mediastinal re-tunneling after McKeown esophagectomy for esophageal cancer may decrease the risk of anastomotic leakage, mediastinal and thoracic infection, reduce the inflammatory response of patients, but did not increase the mortality related to anastomotic leakage. The study was retrospectively registered.

H2 diffusion in cement nanopores and its implication for underground hydrogen storage

Understanding the transport and adsorption characteristics of hydrogen (H2) in calcium silicate hydrate (C-S-H) nanopores is critical to minimize the leakage risks from cement in the wellbore region during underground H2 storage (UHS). However, the critical physiochemical properties of H2 in C-S-H nanopores remain inadequately understood. In this work, we perform molecular dynamics simulations to comprehensively investigate the H2 distribution and diffusion properties in the C-S-H nanopores, considering the crucial parameters of temperature, pressure, and pore size. We evaluate how the density distribution, mean squared displacement (MSD) and diffusion coefficient of H2 evolve with variations in these crucial parameters by comparing H2 properties in C-S-H nanopores with those of bulk H2. We show that H2 molecules are prone to adsorb on C-S-H walls and form a high-density adsorption layer due to strong interactions between C-S-H walls and H2. We find that the confinement of C-S-H nanopores significantly limits the diffusion of H2, leading to smaller diffusion coefficients. Moreover, the diffusion of H2 demonstrates pronounced anisotropic characteristics, with H2 diffusing significantly faster in the direction parallel to C-S-H walls than in the direction perpendicular to the C-S-H walls. We demonstrate that there is a critical pressure, beyond which the diffusion coefficient of H2 parallel to C-S-H walls is close to that in the bulk phase and remains stable. We also show that the impact of nano-confinement gradually diminishes with increasing pore size. Under a given temperature/pressure condition, once the pore size exceeds a threshold, the H2 diffusion coefficient in the C-S-H nanopore is close to that of bulk H2. Our results provide valuable insights into H2 diffusion and adsorption in the C-S-H nanopores at the molecular level, which is critical to assessing and minimizing H2 leakage risks from cement in the wellbore.

Privacy Risks in the Storytelling of Open Government Data: A Study from the Perspective of User Cognitive Reasoning

ABSTRACTIn recent years, there has been an increase in the openness of government data. Data storytelling has emerged as a means to enhance communication by transforming mundane data into easily understandable narratives. However, it is crucial to pay attention to privacy risks. This paper delves into the concept of storytelling government data, integrating cognitive reasoning and the S‐O‐R model, and evaluates privacy risks. Through comparative experiments and interviews, this study examines how users may infer sensitive information. The research reveals that storytelling data has a positive impact on users' cognition. De‐storytelling, on the other hand, can mitigate privacy risks, reduce information relevance, simplify narratives, and strike a balance between user experience and privacy. Building on this research, the paper proposes a strategy to address privacy risks, recommends strengthening privacy protection awareness from the perspectives of both users and platforms, optimizing data presentation methods, reducing the risk of sensitive information leakage, and ensuring the convenience and security of government data disclosure.

Edge-assisted U-Shaped Split Federated Learning with privacy-preserving for Internet of Things

In the realm of the Internet of Things (IoT), deploying deep learning models to process data generated or collected by IoT devices is a critical challenge. However, direct data transmission can cause network congestion and inefficient execution, given that IoT devices typically lack computation and communication capabilities. Centralized data processing in data centers is also no longer feasible due to concerns over data privacy and security. To address these challenges, we present an innovative Edge-assisted U-Shaped Split Federated Learning (EUSFL) framework, which harnesses the high-performance capabilities of edge servers to assist IoT devices in model training and optimization process. In this framework, we leverage Federated Learning (FL) to enable data holders to collaboratively train models without sharing their data, thereby enhancing data privacy protection by transmitting only model parameters. Additionally, inspired by Split Learning (SL), we split the neural network into three parts using U-shaped splitting for local training on IoT devices. By exploiting the greater computation capability of edge servers, our framework effectively reduces overall training time and allows IoT devices with varying capabilities to perform training tasks efficiently. Furthermore, we proposed a novel noise mechanism called LabelDP to ensure that data features and labels can securely resist reconstruction attacks, eliminating the risk of privacy leakage. Our theoretical analysis and experimental results demonstrate that EUSFL can be integrated with various aggregation algorithms, maintaining good performance across different computing capabilities of IoT devices, and significantly reducing training time and local computation overhead.

A new calibration method for radon detector in seismic systems

Radon observation is an important measurement item of seismic precursor network observation. The radon detector calibration is a key technical link for ensuring radon observation accuracy. At present, the radon detector calibration in seismic systems in China is faced with a series of bottleneck problems, such as aging and scrap, acquisition difficulties, high supervision costs, and transportation limitations of radon sources. As a result, a large number of radon detectors cannot be accurately calibrated regularly, seriously affecting the accuracy and reliability of radon observation data in China. To solve this problem, a new calibration method for radon detectors was established. The advantage of this method is that the dangerous radioactive substance, i.e., the radon source, can be avoided, but only “standard instruments” and water samples with certain dissolved radon concentrations can be used to realize radon detector calibration. This method avoids the risk of radioactive leakage and solves the current widespread difficulties and bottleneck of radon detector calibration in seismic systems in China. The comparison experiment with the traditional calibration method shows that the error of the calibration coefficient obtained by the new method is less than 5% compared with that by the traditional method, which meets the requirements of seismic observation systems, confirming the reliability of the new method. This new method can completely replace the traditional calibration method of using a radon source in seismic systems.

Edge Computing Method for False Data Injection Attack Detection in Electromechanical Transient Simulation Grid

Because edge computing is close to the terminal, it has significant advantages of low latency and high-security realtime control and has huge application prospects in the current popular smart grid. Because its edge side is close to the terminal, it can also effectively avoid the risk of information leakage when control instructions or communication data are transmitted to remote cloud center servers over a long distance. However, edge devices have a greater probability of encountering false data injection attacks (FDIAs) from illegal terminals because of their proximity to terminals. The transient electromechanical situation of the smart grid due to FDIAs is analyzed under edge computing. Due to the characteristics that the status values of grid nodes have temporal correlation before and after and spatial correlation between nodes, the Long Short-Term Memory (LSTM) for training time series data is selected to predict the status values of grid nodes in advance. The FDIA detection method is also proposed based on the LSTM network. By calculating the predicted value at each historical moment and the root means square error (RMSE) of the system state estimation at that moment, the detection threshold of the scheme is calculated through the cumulative distribution function of RMSE. Simulation experiments are conducted on the Institute of Electrical and Electronics Engineers (IEEE)-14 node standard system. The detection rate is as high as 99.71%, which verifies the effectiveness of the proposed FDIA detection scheme. This paper studies the security threat of FDIA to the stable power system operation and provides theoretical analysis and practical reference for other power grid security protection strategies.

Assessing the Feasibility of Selective Piezoelectric Osteotomy in Transorbital Approach to the Middle Cranial Fossa: Anatomical and Quantitative Study and Surgical Implications

ObjectivesTo verify the feasibility and to discuss advantages and disadvantages of a piezoelectric orbitotomy (PO) during Superior Eyelid Endoscopic Transorbital Approach (SETOA). MethodsFive adult specimens underwent exoscopic/endoscopic SETOA to middle cranial fossa. The surgical corridor was created via piezoelectric orbitotomy by performing three selective and safe micrometric bone cuts providing a one-piece trapezoid bone flap which was repositioned and secured at the end of procedure. A 3D scan of the bone flap allowed us to reconstruct a 3D model and calculate its volume. An illustrative case demonstrating the application of this novel technique was also presented. ResultsAnatomical-morphometric quantitative analysis showed a mean bony-volume gain of 1,574.26 mm3 by using PO.PO yielded concrete surgical advantages and theoretical benefits in terms of functional and esthetic outcomes. All osteotomies were micrometric clear-cut and precise, resulting in a very thin bony gap; a complete sparing of soft tissues and neurovascular structures in- and around the orbit was observed. Lateral orbital wall reconstruction by replacing the bone flap aims to mitigate the risk of enophthalmos, proptosis, CSF leakage, pseudomeningocele and pulsatile headache, which represent significant challenges in the relevant literature. ConclusionPO may offer a viable, selective, effective, safe alternative to high-speed drilling during SETOA, especially for patients affected by intra-axial pathologies in which a watertight closure is mandatory. This procedure could prevent/decrease the risk of some of the main postoperative complications associated to the standard SETOA, resulting potentially in better functional and esthetic outcome.

Risk assessment of gas plume dispersion in bunkering of alternative fuel through validated computational fluid dynamics approach

Abstract Maritime decarbonization is crucial in fighting climate change. Adopting low-carbon alternative fuels could help reduce greenhouse gas (GHG) emissions by 50% by 2050 compared to 2008. While liquified natural gas (LNG) has gained a strong foothold in the maritime sector over the past decades, the trend is shifting toward adopting lower and zero-carbon hydrogen and its carriers, such as methanol and ammonia, as alternative fuels. Quantifying risks from accidental leakages during storage and transfer of these alternative fuels using numerical models is required and commonly adopted in industries. The process leverages multiple models and tools for risk assessments with different accuracy levels and costs ranging from integral models to Lagrangian techniques and Eulerian approaches such as computational fluid dynamics (CFD). Increasingly, CFD approaches are employed for near-field dispersion analysis to assess the risk of accidental leakages. Despite their high computational cost, CFD models offer better accuracy than integral and Lagrangian models. In this work, we developed a CFD-based framework as a quantitative tool for risk assessment purposes. Our framework aims to (1) offer finer gas dispersion resolution with a detailed representation of surrounding structures and geometries, (2) minimize reliance on assumptions and empirical models to capture flow dynamics and gas dispersions accurately, and (3) mitigate conservative estimates and over-design of safety measures. The framework was validated using experimental data from various field tests, including a recent one involving releasing cryogenic liquids into the atmosphere. After successfully validating and comparing with experiments and other available tools, the proposed framework investigated gas plume dispersion from accidental leakages during fuel bunkering operations in ship-to-ship and shore-to-ship scenarios. The data obtained from CFD simulations was subsequently utilized to construct a surrogate model for fast prediction of gas plume behavior under varying environmental conditions. This facilitated the development of an effective emergency response plan.

SecureEI: Proactive intellectual property protection of AI models for edge intelligence

Deploying AI models on edge computing platforms enhances real-time performance, reduces network dependency, and ensures data privacy on terminal devices. However, these advantages come with increased risks of model leakage and misuse due to the vulnerability of edge environments to physical and cyber attacks compared to cloud-based solutions. To mitigate these risks, we propose SecureEI, a proactive intellectual property protection method for AI models that leverages model splitting and data poisoning techniques. SecureEI divides the model into two components: DeviceNet, which processes input data into protected license data, and EdgeNet, which operates on the license data to perform the intended tasks. This method ensures that only the transformed license data yields high model accuracy, while original data remains unrecognizable, even under fine-tuning attacks. We further employ targeted training strategies and weight adjustments to enhance the model’s resistance to potential attacks that aim to restore its recognition capabilities for original data. Evaluations on MNIST, Cifar10, and FaceScrub datasets demonstrate that SecureEI not only maintains high model accuracy on license data but also significantly bolsters defense against fine-tuning attacks, outperforming existing state-of-the-art techniques in safeguarding AI intellectual property on edge platforms.

Permeability evolution of sandstone caprock transverse fractures during intermittent CO2 injection in coal-bearing strata

The caprock of coal-bearing strata plays a critical role in CO2 geological storage, with the presence of fractures posing a heightened risk of CO2 leakage. The cyclic effects of CO2 injection and in situ stress influence the permeability of caprock fractures. However, the combined impact of CO2 and in situ stress on fracture permeability remains uncertain. This study conducted cyclic seepage experiments under varying amplitude stresses on fractured sandstone samples soaked in ScCO2 for different times (0, 15, 30, and 60 days). The microstructural characteristics of the fractured sandstone surfaces were analyzed using scanning electron microscopy and x-ray diffraction. The experimental results indicated that soaking in ScCO2 reduces sandstone fracture permeability, but the extent of this reduction is nonlinearly related to the soaking time. During the stress cycling process, due to the effect of plastic deformation, the permeability of sandstone fractures decreases with increasing cyclic amplitude and remains relatively constant with decreasing cyclic amplitude. At the same cyclic amplitude, the permeability of sandstone fractures initially increases and then decreases with prolonged soaking time. The impact of ScCO2 and stress cycling on the permeability of sandstone fractures is the result of a series of combined chemical–mechanical effects. The combined effects of chemical dissolution and mechanical degradation significantly influence the permeability of sandstone fractures, and this impact is notably time-dependent. During short-term soaking, geochemically induced changes in the surface structure of fractures cause fluctuations in permeability, while in long-term soaking, the combined chemical–mechanical effects promote a reduction in fracture permeability.

Optimizing CO2 Hydrate Sequestration in Subsea Sediments through Cold Seawater Pre-Injection

Carbon sequestration technology offers a solution to mitigate excessive carbon dioxide emissions and sustainable development in the future. This study proposes a method for subsea carbon sequestration through the injection of cold seawater to promote CO2 hydrate formation. Using a self-developed simulator, we modeled and calculated the long-term sequestration process. The study focuses on analyzing the thermal regulation of the seabed following cold seawater injection, the multiphysical field evolution during CO2 injection and long-term sequestration, and the impact of seawater injection volumes on sequestration outcomes. The feasibility and leakage risks of this method were evaluated on a 100,000-year timescale. Results indicate that the injection of cold seawater significantly improves the pressure–temperature conditions of subsea sediments, facilitating early hydrate formation and markedly increasing the initial CO2 hydrate formation rate. Consequently, the distribution pattern of hydrate saturation changes, forming a double-layer hydrate shell. Over the long term, while cold seawater injection does not significantly reduce CO2 leakage, it does increase the safety margin between the hydrate layer and the seabed, enhancing the safety coefficient for long-term CO2 hydrate sequestration. Through detailed analysis of the behavior of CO2 components during sequestration, this study provides new theoretical insights into subsea CO2 hydrate storage.

Vat photopolymerization for thermal energy storage applications using encapsulated phase change material suspended in photocurable resin

A novel approach to additively manufacture latent heat thermal energy storage heat exchangers through the development of microencapsulated phase change material (MEPCM) suspensions in photocurable resin for vat photopolymerization (VPP) 3D printing is presented. Using MEPCM addresses the leakage risks that have typically been associated with PCMs and subsequently makes the particulates a suitable additive for VPP 3D printing. In the current study, VPP was employed to fabricate functional composites with varying MEPCM mass fractions for thermal, rheological, microstructure, and chemical characterization. Microstructure visualization was conducted to assess the overall distribution of MEPCM within the 3D printed samples and to confirm the structural integrity of the encapsulated particles after printing. The influence of the base resin viscosity was explored by investigating two photocurable resins with different viscosities—a high-tensile UV photopolymer and an ABS-like resin—during the printing process. Thermal properties, such as latent heat of fusion, phase-change temperature, thermal conductivity, and decomposition temperature of the 3D printed samples were determined. Rheology was used to observe the effect of varying shear rates on the MEPCM-resin mixtures to identify the optimal viscoelastic properties for VPP 3D printing. It was determined that the ABS-like resin was able to contain a larger amount of PCM (40 wt%) while maintaining printability due to the lower viscosity of the corresponding pure resin. The 40 wt% MEPCM composite exhibited an average viscosity of 18,817 cPs, a maximum latent heat of fusion of 54.12 kJ/kg, and a 12.4 % reduction in thermal conductivity compared to the pure polymer.

Site characterization of the Endurance CO 2 store, Southern North Sea, UK

The Endurance saline aquifer CO 2 store in the UK North Sea is the planned storage site for CO 2 emissions that will be captured from the East Coast Cluster. The site has been characterized to assess its suitability for injectivity, containment and capacity. The injection target is the Early Triassic Bunter Sandstone Formation, consisting of fine-grained sandstones deposited in fluvial, lacustrine and playa lake environments that were subject to repeated aeolian and fluvial reworking. The sandstones have excellent reservoir quality and are likely to be well connected due to the lack of preserved heterolithic layers. The trap is a large, four-way dip-closed anticline, sealed by mudstones and evaporites of the Middle Triassic Dowsing Formation. The top seal sediments are laterally extensive and geomechanically strong, and faulting observed in the overburden does not appear to connect to the reservoir, providing confidence that CO 2 containment will be secure. The risk of leakage through existing legacy wells is assessed as low. The maximum effective CO 2 storage capacity is c . 450 Mt: Phase 1 development of 100 Mt is equivalent to a storage efficiency factor of 3%, which is achievable without the need for brine production. First injection is planned from 2027.