bluuebunny/crossref_metadata_2025 huggingface dataset:
Longer, Smoother Laterals Enabled by Novel Traction Drill Collar
Authors: Ancketill M. , Profit J. , Clegg J.
Published: February 2025

A downhole traction drill collar (TDC) is presented that demonstrates an improvement in weight on bit (WOB) transfer in long, high inclination lateral sections and an associated reduction in overall drilling dysfunction. The resulting improvements in drilling mechanics and nascent potential to improve rotary steerable system (RSS) tool life, as evidenced from downhole sensor data, highlights a potential step change in drilling performance at a time when both longer and lower cost laterals sections become more valuable to operators.

A TDC tool uses sets of orientated rollers to convert collar weight into axial traction to improve weight transfer to the bit. The solution selected comprises a single tool, with a specific requirement that it does not create any new vibration downhole or have any pressure drop that would result in an increase in standpipe pressure. The improved weight transfer reduces lateral vibration of the bottom hole assembly (BHA), mitigates pipe buckling, reduces stick/slip and polycrystalline diamond compact (PDC) cutter damage, provides a more consistent depth of cut and therefore more consistent torque.

A prototype TDC tool was designed and run on a test bed which proved that rotation through the orientated rollers would provide significant axial traction, improving WOB transfer.

To ensure that the rollers would remain captive and present no risk of junk, the TDC tool was made in two pieces with a proprietary service connection. An early iteration of the connection design was fatigue tested, and although the connection did not fail, the fatigue testing revealed a minor area that showed signs of stress. As a result, the connection was subjected to rigorous analysis to ensure both strength and adequate resistance to fatigue during multiple bending cycles. Design changes were proposed, and repeat fatigue testing was successful with no failure, or incipient failure, observed during the testing.

Initial field testing was conducted which showed significant improvements in WOB transfer and borehole quality resulting from use of the TDC tool. These improvements, combined with the rigorous analysis and fatigue testing described above, provided confidence to begin a campaign of field testing. The results of these field tests will be described in detail.

This paper will describe how a simple BHA tool with no significant energy requirements of its own can convert the natural force of gravity into useful axial force which can help to improve weight transfer while drilling. At the same time, undesirable drilling dysfunctions including lateral vibration and stick/slip are mitigated. This combination of factors will allow drilling of significantly longer lateral sections at reduced cost.
Successful Casing Size Recovery: Milling Expandable Liner Hanger to Overcome Gulf of Mexico Well Challenges
Authors: Soltero A. , Klein A. , Hanks C.
Published: February 2025

This paper presents a case study detailing the successful recovery of a casing size in a deepwater Gulf of Mexico (GOM) subsalt development well. By milling an expandable liner hanger and recovering part of an 11-7/8 in. liner, the team enabled a whipstock sidetrack below an unstable salt inclusion and the installation of a 9-7/8 in. production liner across the reservoir target. The solution was achieved through a carefully coordinated milling and recovery operation prioritizing safety, well integrity, and compliance with regulations. Collaboration with service providers, industry experts, and partners validated the feasibility of this innovative approach, with proven tools and operational parameters tailored to the wellbore's unique requirements. The operation preserved the well's production goals, maintained well integrity, and mitigated further operational setbacks, while averting significant costs and risks associated with an alternative plan requiring a 7-3/4 in. liner. The milling operation itself was completed in 11 hours, far faster than anticipated. This paper provides unique insights into milling an expandable liner hanger and conducting casing recoveries in complex deepwater environments, serving as a valuable reference for teams addressing similar challenges in adverse wellbore conditions.
Reducing and Optimizing Well Cost and Time by Implementing a Technical Collaborative Partnership in Roncador, an Ultra Deepwater Brownfield in Brazil
Authors: Jesus Y. , Goncalves B. P. , Castro V. Y. , Vanzan V. , Pioli R. M. , Figueiredo De Oliveira G. L. , Moura E. , Da Silva Costa R.
Published: February 2025

Roncador is an ultra-deepwater field, ranging from 1400 to 1900 m water depth, located at Northern area of the Brazilian Campos Basin, about 125 km from the coast (Figure 1). The field was discovered by Petrobras in 1996 and first oil was in 2002. Over 22 years more than 150 wells have been completed and in 22 years with peak production of 400 kboe/day in 2009 and 2015. Accumulated production is more than 1.7 Bboe. The field is currently producing from four production units (Figure 2) and started to face production decline.

In 2017 Equinor and Petrobras formed a strategic partnership were Equinor acquired a 25% stake. Petrobras got 75% stake. The STAA - Strategical Technical Alliance Agreement project aims to maximize value creation and the longevity of the Roncador field utilizing the best of technology, competence, and experience from Petrobras and Equinor in a collaboration.

As part of the STAA, both operators have been working side-by-side to improve efficiency and reduce well cost. Working with simplification, standardization and focusing on operational efficiency it was possible to reduce the construction duration by more than 50% and the well construction cost by more than 60%.
Experiences from More Than 30 Years of Safe Drill Cuttings and Waste Injection at the Valhall Field
Authors: Kristiansen T. G. , Flatebø R. E.
Published: February 2025

Re-injection of drill cuttings and wastewater have been performed at the Valhall field in the southernmost part of the Norwegian Continental Shelf (NCS) for over 30 years. This is a quite unique documentation of such a long successful re-injection project in the industry. The injection of more than 16 million barrels water and cuttings have been performed safely and environmentally friendly to date. The only unscheduled event has been a water kick in an offset well when the procedures for injection was not adhered to. The injection started following an opportunistic strategy where dead wells waiting to be sidetracked were used for injection. Most injection has been performed in Tertiary shales in the overburden, but also horizontal wells in the chalk reservoirs have been used. The perforations have been placed mainly in Tertiary shales to reduce risk of screen-out. Leak-off taking place in shallower more permeable formations over time. The cost per barrel has varied through time. It was very low when following an opportunistic strategy using dead wells waiting for sidetracks. Later in the project life the need to control the injection locations more stringently, to avoid significant anti-collision work, resulted in the use of dedicated injection wells. The cost went then up towards 5 USD/barrel. To remain competitive with the current costs of offshore treatment, a dedicated re-injection well must accommodate waste volumes from approximately 30 wells. In comparison, for cost-effectiveness against onshore treatment, it would need to handle waste volumes from around 20 wells. A low-cost, environmental and HSE friendly alternative with no disposal to landfills, or the sea, may be dedicated injection wells as used at Valhall that can take the drilling waste for re-injection in a larger area around the field. This volume may then also include waste volumes from other licenses, CCS wells and exploration drilling. The paper covers the main observations from this over 30-year long period and discuss the basis of design, the waste domain concept, the monitoring techniques and procedures developed to follow up expected and non-expected injection behavior.
Successful Utilization of a Floatation Collar Tool to Reduce Drag Force and Enhance Running Completions in Unconventional Long Lateral Wells
Authors: Almomen Hassan , Alkhaldi Yara , Alkwiter Abdullah
Published: February 2025

Unconventional wells with long laterals have great potential to further extend their lateral length to maximize reservoir contact. Torque and drag simulation and operational observations showed that current design suffers extreme drag, resulting in buckling-risk and insufficient hook load to run a completion to target depth. This paper highlights the achievement of running completions in the longest lateral wells (12,000 ft lateral) using a floatation collar for unconventional drilling.

Buoyancy technology, specifically the floatation collar tool, was deployed within a 45-90° inclination. This device traps air between the floatation sub and the shoe, reducing the frictional forces acting on the casing through buoyancy effects. The floatation collar has a calibrated glass barrier, which is ruptured with surface applied pressure once the casing reaches the target depth, allowing suitable well circulation prior to the cementing operation. The floatation collar placement is optimized for maximizing the hook load available while crossing the curve section that has the highest dogleg severity.

Using the floatation collar tool with the original completions and casing design across 12,000 ft of lateral length was successfully achieved. This is the longest horizontal drilled section for partial cementing of long string applications to date. Furthermore, multiple positive attributes were observed, including smooth deployment of the drill string over a curve section of a 7 deg/100 ft dogleg while the string reaches the bottom without lockup. In addition, the compressive forces improved by approximately 88 Klbf in comparison to simulated actual value with a mud weight of 12.83 ppg when the floatation collar (rated with 8000 psi) was placed within the mentioned inclination. These results were all accomplished while still maintaining the original casing design, and allowed for the possibility of more extended reach laterals. This method significantly improves the probability of reaching the target depth in challenging wells, while maintaining the original completion and casing design.

This paper illustrates the benefits of utilizing a floatation collar to overcome the challenges of reaching the target long-lateral wells when running completions, by minimizing the risk of buckling and reducing the drag forces on the casing. Hence, the running time and cost of the well are reduced significantly.
Breaking the Casing-Cement Bond and Cement Structure to Aid Casing Recovery
Authors: Speagell Malcolm
Published: February 2025

One of the main issues surrounding any casing recovery operation is the integrity of the cement and cement-bond behind or between casing strings. To successfully retrieve casing to surface the integrity of this bond must be either removed entirely or reduced to a level where the casing pulling equipment has enough available force to be able to either pull the casing free or move the free point of the casing to a depth where additional cuts can be made that will allow the retrieval of the casing.

A new approach to breaking the casing-cement bond is to apply alternating compression and tension forces to the inner casing wall to deflect the metal of the casing from the inside, manipulating the structure of the metal within its elastic deformation limit to break the cement-bond on its outside without deforming the casing shape.
Automated Computer Vision System for Real-Time Detection of Drilled Cuttings and Cavings
Authors: Svendsen K. E. , Kristiansen T. G. , Martin J. , Askø A. , Bjørlo J. , Khosravanian R. , Holt C. , Ruel F.
Published: February 2025

This paper describes the role of a computer vision system in assessing wellbore stability. It validates the application of computer vision to detect the presence of cavings at the shale shaker using a remotely monitored camera system. The main objective was the early detection of developing wellbore pressure and stability issues during drilling to avoid non-productive time (NPT), a potential boon for the industry.

Two cameras with onboard computer vision software were installed in the hazardous zone above the shale shakers to monitor the returning drilling cuttings and quantify their sizes. Images from the cameras were analyzed onsite and cutting size and volume data were delivered to the drilling team in real-time. The term Unidentified Falling Object (UFO) was introduced to account for the current state of technology and the difficulty inherent in discriminating between cavings and cuttings at the shakers. Detecting an anomalously large object is considered a potential indication of a caving.

Five wells in the Norwegian Offshore Sector were consecutively monitored over eight months across hole sizes ranging from 16½-inches to 8½-inches. The project was managed remotely via an interactive, multi- platform, open-source analytics and visualization application. We include a description of the project's implementation of new technology on an active drilling rig.

The computer vision model was validated by dropping known test rock samples into the cuttings flow, measuring cutting size distribution (CSD) on cuttings samples, and weighing drill cuttings samples. The results were used to calibrate a computer vision model that accurately measured a range of cutting sizes from 10mm to 45mm. The data showed a credible correlation to changes in wellbore formation, and cavings were successfully detected. The model improved throughout the project, alerting the drilling team to suspected issues in near-real-time. Other valuable observations included cuttings overflow, vibration performance, and the potential for time savings during hole cleaning activities. This demonstrated the versatility of the system and its potential to provide a more comprehensive understanding of the drilling process.

Wellbore instability is one of the largest contributors to drilling NPT. Early detection through the identification of cavings at the shakers is an established process but is currently manpower-intensive, intermittent, and subjective. Applying a computer vision model to monitor and analyze drill cuttings in real- time continuously—autonomously characterizing the drilled cuttings’ size, shape, and volume—will help optimize overall penetration rates and significantly improve hole-cleaning practices. This will reduce lengthy circulation times and pack-off events, enhancing the efficiency of drilling operations.
Modernizing Top Drive Monitoring and Maintenance: Efficiency-Factor-Based Imminent Failure Detection Using Common Accelerometers
Authors: Reynerson P. , Mitkus A. , Gee T. , Posada J. , Lee H. , Gupta P. , McCarthy K. , Ziehm T. , Willerth M.
Published: February 2025

In drilling operations, the top drive is one of the most important and expensive pieces of equipment. The majority of top drives fail close to total depth, where they are under the most physical stress and the wellbore integrity is most vulnerable. Failure during this critical point in operations may leave the rig with a reduced capacity to deal with wellbore stability issues, and a higher chance of lost in hole. A proposed real time top drive monitoring algorithm uses accelerometer data to detect imminent top drive failure on the order of hour to days before failure, aiming to provide a window to trip out, plan, and either repair or replace the top drive before serious downtime costs are incurred.

A physics-based bearing failure detection algorithm was applied to high-speed accelerometer burst data collected from 12 top drives over two years, with three bearing failures represented in the set. The approach estimates a proxy for bearing efficiency by calculating the kinetic energy required to induce the measured acceleration, normalized by output energy estimated from the torque and RPM at the burst time. To further isolate vibrations related to the bearing itself, Butterworth notch filters are applied to the accelerometer data, removing known strong vibrational frequencies unrelated to the bearing (specifically the blower motor). The algorithm classifies a potential failure using a sustained magnitude of the bearing efficiency proxy.

The detection algorithm was applied to the three failure cases along with a randomly selected set of non-failure cases, flagging the bearings more than 6 hours before the downtime occurred. False positive flags were exceedingly rare and short-lived among the non-failure set, while the correctly flagged failure cases showed large, sustained magnitudes. With additional data and maintenance workflow coordination, detection thresholds could be even further optimized.

Given the encouraging performance of the algorithm on the historical data and the small number of failure cases represented, a follow up study has been proposed to pair this accelerometer-based monitoring with top drive health rankings to drive more efficient maintenance workflows and acquire additional accelerometer data to improve the method.

In an asset-intensive industry like oil and gas, maintenance and monitoring of heavy equipment is vital. This approach modernizes prognostic workflows by integrating real-time, physics-based classification and continually monitored health metrics. While future investigations will explore more metrics in greater detail, this study introduces a novel vibration classifier that enhances traditional accelerometer analysis by focusing on physically relevant frequencies and mapping them to a wasted input energy proxy.
Insights from Process Automation: Improving Efficiency
Authors: Auld S. , McMillan A. , Whitlow Z. , Hopwood F. , Kern S.
Published: February 2025

Invisible lost time (ILT) is a measure of inefficiency. Though not immediately apparent, it can be significant over the course of a drilling campaign. Much effort is dedicated to reducing ILT throughout the well construction process. Well construction is comprised of many subprocesses, each of which is an opportunity to reduce ILT with process optimization that can be realized with automation. Consistency through automation often provides insight to further refine and automate drilling processes.

Well construction subprocesses are created by the drilling contractor and/or the operator, usually involving a detailed review. Processes such as applying or removing weight on bit (WOB), or zeroing the WOB, are critical to improving drilling performance and preserving the life of the bottom hole assembly (BHA). Once defined in detail, process automation facilitates precise and consistent execution. As drillers are trained, they transition from manual process execution to automation oversight, with insights from this automation utilization identify further opportunities for improvements.

Applying, removing, or zeroing WOB are detailed processes with multiple machines moving simultaneously, occurring frequently during the well construction process. Because of this frequency, even seconds saved per event can potentially add up to days saved over the course of a well program.

Consider the process of zeroing WOB in the lateral section. Often conducted at the end of a stand, it involves hoisting up a certain distance and rate, followed by lowering at a certain distance and rate, before deciding to zero the WOB. The specifics of how far and fast to hoist and lower are usually prescribed by the operator’s drilling personnel and were likely created before the process was automated. Manual execution of this process provides significant variability, leading to conservative process recipes.

This process was automated, with a manual zero selection required for process completion. Opportunities to refine and improve the process became visible once replicated through automation. The most apparent observation was the lowering parameters could be optimized to reduce process time by 29%, as drillers are trained to make similar observations to improve efficiency of this process. A secondary observation is the optimized process can be automated to completely remove the manual zero selection step.

This work will review the next phase of process automation and is complementary to prior work (SPE-217751-MS and SPE-222152-MS) that present the value of consistency and the role of digital transformation to improve process automation (Auld et al., 2024).
Hydraulic Sealability of Geopolymers for Shallow Depth Cementing – A Comparative Study
Authors: Gomado Foster Dodzi , Agista Madhan Nur , Khalifeh Mahmoud
Published: February 2025

Shallow-depth well cementing can sometimes be challenging due to low temperatures and weak formation pressure. Also, the bonding of the cementitious materials used is the key to ensuring lifelong sealability. In reducing carbon footprint related to oil and gas drilling operations, different variations of low-density geopolymers are compared against the gas-tight cement in terms of its bonding integrity, that is, the shear bond strength, hydraulic sealability as its strength development at curing conditions of 25℃ and 14 bar.

Three different kinds of rock-based geopolymers were prepared. Namely, Neat low-dense Geopolymer, glass-bead low-dense geopolymers, and expansive low-density Geopolymer and their performance was compared to the industrially used gas-tight cement. The bonding criteria were accessed using the linear expansion, hydraulic sealability and compressive strength. The low-dense granite-based geopolymers examined in this study experience chemical shrinkage and could not provide sufficient hydraulic sealability. When expansive agent is used in the water-extended geopolymers, the shrinkage is compensated and hydraulic sealability obtained is higher than that of the commerically available gas-tight cement.
Enhancing Lost Circulation Management by Data-Driven Agile Methods
Authors: Converset J. , Sharma S. , Blay Florian Le
Published: February 2025

This paper presents a method using surface and downhole data to enhance responses to lost circulation events in drilling operations, which are significant challenges leading to nonproductive time and financial losses. Lost circulation costs the oil and gas industry approximately USD 1 billion per year in rig time, materials, and other financial resources (Ferron et al. 2014). Accurately detecting lost circulation in the oil and gas industry presents several challenges. The lost-circulation process relies heavily on real-time data from various sensors, which can be incomplete, or noisy, complicating detection and analysis. Current methods for lost circulation management often require frequent manual adjustments and monitoring, introducing human error and inconsistencies. Additionally, the diagnosis of lost circulation types often depends on the experience and judgment of experts, leading to biases and inconsistencies. Technological constraints also play a role because integrating new technologies with existing systems can be challenging and costly. Operational challenges, such as changes in pump rates and pressure during drilling, further affect detection accuracy. Addressing these challenges requires a combination of advanced technologies, improved data analytics, and enhanced training for personnel to reduce reliance on manual processes and expert judgment.

The novel method this paper presents addresses the variability in success rates of traditional solutions by providing real-time, automated insights into the loss zone, considering dynamic changes in loss rates, and wellbore pressures. The proposed solution integrates multiple tools, such as mud logging, annular pressure while drilling (APWD), and geomechanics, into a single platform to improve the detection and response to loss events.

Traditional response plans, which categorize loss rates as seepage, partial, or total losses, often overlook critical factors such as the types of losses and their dynamic nature. The development process revealed complexities in fully automating the integration of these data sources, leading to the adoption of a human-in-the-loop approach. This paper presents unique workflows developed, the methodology for workflow validation using a labeled database, and the results of real-time applications, highlighting the success of this integrated approach.
Application of Machine Learning for Bit-Formation Matching in drilling operations
Authors: Igemhokhai Shedrach , Olaoye Abiodun , Bello Kelani , Momodu Ehigie , Isuk Nsisong , Adejumo Abayomi
Published: February 2025

Efficient bit formation matching is imperative for the success and cost-effectiveness of drilling operations. At present, drill bit selection predominantly depends on historical data and experiential knowledge. While machine learning, particularly Artificial Neural Networks (ANNs), has gained prominence in bit selection, other diverse and impactful algorithms such as XGBOOST and Random Forest (RF), are often overlooked. This paper involves the systematic application and comparative analysis of XGBOOST, RF, and ANN, alongside an optimization approach using Genetic Algorithm. The study comprehensively considers various influential factors including formation properties, drilling fluid characteristics, bit design, and operational parameters. In this study, we achieved promising results with the highest classification accuracy for bit selection recorded at 0.97 using the XGBOOST model, while RF and ANN yielded accuracies of 0.91 and 0.93 respectively. Additionally, we obtained impressive R squared values of 0.991, 0.975, and 0.953 for predicting the Rate of Penetration (ROP) using the XGBOOST, ANN, and RF models respectively. These algorithms, coupled with the optimization techniques, aims to establish a robust framework for nuanced and accurate bit-formation matching. The results obtained hold significant potential for minimizing costs and optimizing resource allocation & utilization during the planning and execution of drilling projects in the oil and gas industry.
Snow- and ice-ecosystem cleaning capability of the pucciniomycotinous yeast Phenoliferia psychrophenolica
Authors: Marechal Eric , Ezzedine Jade , Guenzi-Tiberi Pierre , Villain Gaelle , Cigliano Riccardo Aiese , Diagne Yacine , Franceschi Enzo , Drula Elodie , Foret Jerome , Valay Jean-Gabriel , Procházková Lenka , Remias Daniel , Terrapon Nicolas , Amato Alberto
Published: February 2025

Psychrophilic pucciniomycotinous yeasts inhabit snowfields and glacial ecosystems worldwide, yet their ecological role remains unclear. We isolated a clonal strain of Phenoliferia psychrophenolica (LCC-F-001-001) from an alpine red snowfield. Its 42-Mbp genome contains 11,523 genes, including 37 ice-binding protein genes, the highest number recorded in fungi, mainly acquired through horizontal transfers. This yeast tolerates freezing, grows optimally at 10°C and forms pseudohyphae above 15°C. Known to assimilate phenol and small metabolites, we found LCC-F-001-001 also hydrolyzes carotenoid and phenolic pigments from snow and glacier ice algae. LCC-F-001-001 genome encodes ~ 500 carbohydrate-active enzymes, ranking among the most catalytically versatile sequenced Microbotryomycetes, alongside a closely related permafrost species. P. psychrophenolica and related fungi are therefore key players in snow and ice ecosystems, capable of degrading organic molecules in snowfields and glaciers, likely during algal bloom declines, and connecting the carbon cycle between cryospheric environments and soils through their exceptional metabolic adaptability.
Metaheuristic Optimization based Coordinated Electric Ferry Charging Impacts on Distribution Network
Authors: Roy Rajib Baran , Alahakoon Sanath , Rensburg Piet Janse Van , Arachchillage Shantha Jayasinghe
Published: February 2025

The global maritime industry significantly contributes to greenhouse gas emissions in marine environments. To address this, there is a growing global initiative to adopt renewable-powered electric marine vessels, where storage plays a crucial role. This study delves into the potential impacts of charging electric ferries in coordinated mode on local distribution network by metaheuristic optimization. Using Gladstone Marina in Queensland, Australia, as a test case, the research employs DIgSILENT PowerFactory for power flow analysis, based on actual load data. The simulated network includes four BESSs (Battery Energy Storage Systems) representing proposed charging stations. For analysis, MATLAB Simulink based BESS’s dynamic model is included in the simulated network of DIgSILENT. A novel control algorithm is used for controlling and optimizing the operation of BESSs according to load demand and status of network’s system parameters. Python based control algorithm implements a balanced hybrid GA-PSO-BFO (Genetic Algorithm-Particle Swarm Optimization-Bacterial Foraging Optimization) metaheuristic optimization which ensures sequential operation of BESSs according to their SOC (State of Charge) in coordinated mode. Initially, power flow analysis is conducted without BESS integration, termed as the base case, at 50% and 80% load capacities of transformers. For impact analysis, power flow analysis is performed by integrating BESSs to simulate fully utilized charging stations at 50% and 80% load increment in coordinated charge-discharge and only charge coordinated modes. Results show a 1%-1.5% increase in bus voltages in coordinated modes as load escalates. Transformer loading decreases by 3%-4% in coordinated charge-discharge mode, while line loading drops by 2.5%-3.5%, contributing to reduced system current and power. The transformer loading and line loading remain same to base case in only charge coordinated mode. The findings from the time-based quasi-dynamic mode in DigSilent suggest that coordinated charge-discharge imposes beneficial effect on the system parameters of the test network. By aligning charge-discharge times with load demand, coordinated mode enables BESSs to participate in peak shaving of the test distribution network. This peak shaving strategy indicates that electric ferries at dockyards can serve as a spinning reserve for the shore-side distribution network.
Chatbot for Electrical Appliances Troubleshooting With Nlp and Python
Authors: V Thangapandi , S Thousiha , Raja Vignesh , G Kiruthiga
Published: February 2025

The creation of an intelligent chatbot system that can aid with electrical circuit diagnosis is described in this document. The chatbot, which uses Python and Natural Language Processing (NLP), attempts to close the gap between technical knowledge and regular users by providing instant assistance to both technicians and non-technicians. The difficulties in locating electricians in the area and the high expenses related to little electrical issues are addressed by this approach. In addition to saving needless callouts and costs, the chatbot also helps technicians by providing consumers with information and confidence. The way experts and individuals approach electrical circuit diagnosis might be completely changed by this creative method, which would also make technical information more affordable and accessible.
Experimental evidence of Tc enhancement above 50 K and diode and paramagnetic-Meissner effects, in Nickelate films on highly reduced SrTiO3
Authors: Koren Gad , Eyal Anna
Published: February 2025

Since the discovery of superconductivity in nickelate thin films in 2019, the quest for enhancing their Tc has been ongoing. Here we provide experimental evidence for Tc enhancement in oxygen deficient films on highly reduced and conducting SrT iO3 substrates. Tc onset of 50-70 K was found in Meissner and transport measurements, which indicates superconductivity in islands or domains in our films, where Tc of zero resistance is obtained at 20-25 K. In addition, we observed a giant paramagnetic-Meissner effect peak at about 48 K, which further supports the existence of a superconductive transition just above it. Furthermore, an asymmetric or nonreciprocal and non-hysteretic superconductive diode effect was observed. The later could be fully polarized, and its polarity could be reversed. The specific phase responsible for these notable effects was not yet identified, and further research is needed in order to identify and isolate the relevant phase.
Of Homelands and Crossings: Middle-Eastern Diasporic Identities in Brazilian Contemporary Fiction
Authors: Krakowska Rodrigues Kamila
Published: February 2025

There is a trend in contemporary Brazilian literature to illustrate in a novel way the transnational matrix of identity and belonging which characterizes Brazilian society, as it was formed in waves of free and forced migration and displacement. To address the struggles over identity formation in/as diaspora, this paper close reads three contemporary novels depicting characters from Middle Eastern diasporas and their actual or imagined returns to the ancestral homeland, namely Dois irmãos by Milton Hatoum, Os Malaquias by Andrea del Fuego, and A chave de casa by Tatiana Salem Levy. By addressing tensions, frictions, incompleteness, or even the impossibility of the travel “back home”, these literary texts invite the reader to question the meaning of ‘home’ within the framework of migration history and to explore different forms of mobility which can be used in the (re)creation of signifying places.
Silenced Histories
Authors: Copertino João Marcos
Published: February 2025

Eça de Queiroz’s short story “Singularidades de uma rapariga loira” represents a breakthrough both in mode of narration and in subject. Distancing himself from idealizations of romantic love, Eça constructed a narrative that attempted to sustain his vision of modernization, colonialism, and their impact on affective life. To my knowledge, readings of “Singularidades” have so far entirely overlooked its allegory of Portugal’s colonialism, and its silencing postures, especially regarding the slave trade. The past of Macário, the story’s protagonist, in the South Atlantic is often dismissed; in my reading, it is an essential aspect of the story’s innovation. Paying attention to Macário’s past also allows one to uncover Eça de Queiroz’s layered storytelling style and opinions on colonialism.
Quatro poemas
Authors: Albuquerque Gabriel
Published: February 2025

Quatro poemas: Um homem velho, Botânico, O Quarto da moça, Aquele moço
Open and closed photobioreactors for microalgal cultivation and wastewater treatment
Authors: Laizu S. A. , Hassan L. H. S. , Ahmad I.
Published: February 2025

The utilization of microalgae in wastewater treatment (WWT) witnesses a global interest. From this sector, there are two main cultivation systems that can be used for microalgae cultivation, either open or closed systems; the choice of which of these cultivation systems to be used depends on the purpose of the produced biomass. Use of closed photobioreactors (PBRs) is better than open systems because they can provide uncontaminated monoalgal culture. Design of PBR allows controlling light intensity, light penetration ratio, with good gas exchange sectors, air/carbon dioxide supply, and mixing strategy. Different configurations of PBRs, including aerobic, horizontal tube, moving tank, and tubular aerobic PBRs, are studied in terms of their design, operation, and performance, with emphasis on their efficiency in generating microalgae biomass. Airlift pressure-feedback PBRs are energy-efficient and improve mass transfer in both internal and external loop configurations. Horizontal tube PBRs maximize light exposure but face biofouling and uneven distribution. Stirred tank PBRs have good mixing efficiency but limited light penetration and high energy requirements. PBRs are preferred for continuous cultivation systems due to their superior light penetration and high biomass productivity. The most common PBRs are flat panel reactors, tubular, and bubble column PBRs. Microalgae cultivation technology using PBRs depends on cultivation mode, factors that control the optimal growth, and harvesting techniques. PBRs are used in WWT, with suspended systems offering economical alternatives. Fixed systems, such as PBRs, improve separation but struggle with accurate biomass measurement. Hence, this chapter emphasizes the need for engineering improvements and optimization techniques to overcome operational and economic limitations of open and closed PBRs. This provides an overview of commercial WWT using microalgae, highlighting growth factors, different types and designs, and their applications.
Capital Punishment and Lethal Acts in War
Authors: Finnis John
Published: February 2025

In reply to the readily inferable denial, in para. 304 of the papal exhortation Amoris Laetitia, that there are any exceptionless negative moral norms, this article (1) recalls and reaffirms the philosophical and doctrinal tradition’s thesis that there are such norms. It then (2) sketches what is involved in identifying a kinds of act by its object; (3) reflects briefly on the three successive and different iterations of the teaching of the Catechism of the Catholic Church on capital punishment; and (4) draws attention to the Catechism’s notable but little discussed, non-pacifist teaching against all intending to kill, even in just war.
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Received: 30/04/2024. Reviewed: 25/09/2024. Accepted: 7/10/2024.
Radical Pacifism, Limited Pacifism or Just War? (A Response to Professor Jacek Hołówka)
Authors: Cebula Adam
Published: February 2025

This article formulates a critical response to Professor Jacek Hołówka’s opinion on (the philosophical debate about) the morality of war. It is claimed that by rejecting the plausibility of any argument justifying the occasional permissibility of military action. Hołówka finds it difficult to avoid (tacitly) endorsing some form of pacifism. In its radical version – presumably most closely matching Hołówka’s apparent position on war ethics – pacifism is shown to be completely unsupported by any serious social or political theory. More extensive analysis is focused on a compromise version of pacifism proposed recently by David Rodin. Described as “the middle ground between pacifism and just war theory,” Rodin’s proposal permits military resistance to genocidal violence while banning all other types of war, specifically defensive wars waged by invaded states. As closer scrutiny indicates, the view is based on faulty analogies, it disregards the reasonably expected increase in human rights abuses following most invasions, and it underestimates the natural inclinations of some aggressor states to embrace murderous methods of subjugating the populations of the annexed territories. What is more, the limited pacifism Rodin promotes is bound to effectively incapacitate sovereign states even when they confront unquestionably genocidal aggression (in most cases preceded by a purely political “takeover” of the attacked country). This paper concludes by endorsing the states’ traditional right to self-defence: granted only to “minimally just societies,” it turns out to be the most credible safeguard against conventional military aggression and its possible calamitous escalations – the threat of the latter being all too often grossly underrated by pacifists.
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Received: 31/05/2024. Reviewed: 10/09/2024. Accepted: 27/09/2024.
Corrigendum to: An Exploratory Review on Recent Computational Approaches Devised for MiRNA Disease Association Prediction
Authors: Sujamol S. , Vimina E.R. , Krishnakumar U.
Published: February 2025

During the PDF conversion, some words were removed, which were overlooked by both the author and the publisher in the
article titled “An Exploratory Review on Recent Computational Approaches Devised for MiRNA Disease Association Prediction,”
published in Current Bioinformatics, 2025, Vol. 20, No. 2 [1].

Details of the error and a correction are provided here.

Original:
The semantic ty, Sim(d,D1), between a particular disease d and a disease group D1 is calculated using equation 1.

Corrected:
The semantic similarity, Sim(d,D1), between a particular disease d and a disease group D1 is calculated using equation 1.

Original:
Given two NAs, mi and mj, their expression profiles were denoted as emi and emj respectively.

Corrected:

Given two miRNAs, mi and mj, their expression profiles were denoted as emi and emj respectively.

Original:

Two similar diseases share a larger part of their DAGs for any two diseases. di and dj, their semantic ties, SM1 (di, dj) , are
calculated using equation 10.

Corrected:
Two similar diseases share a larger part of their DAGs for any two diseases. di and dj, their semantic similarities, SM1 (di, dj) ,
are calculated using equation 10.

We regret the error and apologize to readers.

The original article can be found online at https://www.eurekaselect.com/article/140460
Performance assessment of a refrigerator with a hot-wall condenser under O-to-D grooved geometrical conditions
Authors: SHIKALGAR Niyaj
Published: February 2025

Abstract. The heat transfer abilities of hot-wall condensers applied to domestic refrigerators are addressed in the present research. This investigation addresses the effect of a variation of the contact area between the pipe and back plate of a condenser, which was not examined previously as a design parameter for the heat transfer analysis of a condenser. The design parameters were incorporated into the manufacturing of the hot wall condenser samples for testing. Furthermore, to compare the results of the experimental discoveries regarding thermal effects, a simulation model was developed. Temperature profiles and heat transfer coefficients were measured along the condensers. AS/NZS 4474-1997 is used to examine the household refrigerator's performance. The compressor's energy consumption, pull-down time, and COP at 28°C ambient temperature using traditional methods are computed by employing a condenser under various operational circumstances. The findings provided significant insight into how different design elements impacted the condenser's heat transfer rate. More precisely, increasing the surface area of the condenser pipe enhanced the heat transfer rate by an average of 9.31%. It was demonstrated that keeping the pipe pitch at 40 mm had a major influence on the heat transfer rates. More specifically, switching from an O-to-D pipe layout can increase the overall heat transfer rate by as much as 4%, making it a novel output.
A systematic review of industry 4.0 technologies in the production and manufacturing sector
Authors: PANDEY Rohit
Published: February 2025

Abstract. "Industry4.0" describes the latest developments in automation and manufacturing. Industry 4.0 covers a wide range of topics, including industrial processes, competitive design, information management, and manufacturing process design. A few of the crucial technologies needed to produce the electronic and digital commodities used by Industry 4.0 are artificial intelligence (AI), big data analytics, digital twins, physical-cyber systems, and the Internet of Things. Industry 4.0 is built around nine technological pillars. These advancements create self-governing, sentient systems that connect the virtual and real worlds. organisations and supply chains are already using some of these cutting-edge technologies, but by combining them, organisations may be able to fully grasp the potential of Industry 4.0. These include low-cost marketing, ingenious manufacturing, and energy-efficient building. Industry 4.0 technology has the potential to help businesses become more sustainable. This article provides an overview of the advancements in automation and robotics technologies that led to Industry 4.0. Automation and robotics are widely acknowledged as crucial elements of industrial production and as the driving factors behind the development of Industry 4.0 by research centres, companies, and academic organisations. The objectives of this study are to review the corpus of literature on Industry 4.0 and find many instances of effective product production in this field.
Reconfigurable manufacturing system: Key to smart manufacturing
Authors: SHIVDAS Rutuja
Published: February 2025

Abstract. Revolution in traditional manufacturing paradigms has become a prerequisite in the 21st centuries manufacturing environment. Globalization currently drives the personalization and customization of products. To be competitive companies have to enhance with the changing market environments by producing low-cost products with high quality that are efficiently responding to market unpredictability. Types of traditional manufacturing systems that are evolved due to changing manufacturing requirements are such as cellular, dedicated and flexible manufacturing systems. Reconfigurable Manufacturing System (RMS) characteristics have the competence to solve the difficulties that arise due to changing market requirements. This paper explores the next-generation manufacturing perspective considering smart manufacturing, Industry 4.0, and RMS. An industrial case study of RMS part family formation is presented to propose the advantages of using RMS in comparison with existing manufacturing systems. RMS configuration is a flow line layout type hence, the Longest Common Subsequence (LCS) and Shortest Common Supersequence (SCS) between two operation sequences plays a significant role in RMS part family formation. In this work, the similarity between two parts is evaluated by applying LCS and SCS-based part family formation methodology, and an average linkage clustering algorithm is implemented to group parts in a family. The jobs under consideration are evaluated based on their operation sequence and geometric features. The dendrogram and threshold trend are presented to illustrate the step-by-step creation of the dendrogram.
Leveraging life cycle assessment to enhance MSME supply chain sustainability: A case-based analysis on coir industry
Authors: ARUNIMA R.S.
Published: February 2025

Abstract. Life cycle assessment (LCA) provides a comprehensive methodology for evaluating the environmental impacts of products and processes across their entire life cycle. This research applies LCA techniques to assess the sustainability of supply chain practices in coir (coconut fiber) industry. The coir industry in India is dominated by micro, small and medium enterprises (MSMEs), which account for over 90% of production units. Coir MSMEs provide livelihoods and income opportunities for millions engaged in the extraction, curing, spinning and weaving of coir fiber from coconut husks. However, the industry faces environmental challenges around energy and water use, emissions, and waste generation. The study utilizes a case study approach employing primary interviews, direct observations, archival records, and secondary LCA data to analyze the supply chains of coir product manufacturers. The key impact measures examined are carbon footprint, water consumption, energy use, and solid waste generation. The findings reveal several positive sustainability attributes including localized raw material sourcing under 50 km and existing adoption of renewables like biomass and solar energy for 30% of production needs. However, substantial hotspots are also identified such as reliance on freshwater extraction up to 50 liters per kg of finished product, predominant use of road transportation emitting up to 178 kg CO2 per day, and resource-intensive packaging materials like plastics and cardboard. The study demonstrates that while the coir industry supply chain has several sustainability strengths to build upon, considerable potential exists to improve environmental performance through greater adoption of renewables, energy and water efficiency, alternative transport modes, and circular resource flows. The LCA evidence can guide policy and managerial choices to transform coir production in India toward energy, water and emissions neutrality in line with national sustainable development objectives.