bluuebunny/crossref_metadata_2025 huggingface dataset:
Elastic Inversion in Brazilian Offshore Pre-Salt Carbonates Context
Authors: Blanvillain P. , Painchaud Y. , Pernia-Soto L.
Published: October 2023

This paper presents a 3D seismic deterministic elastic inversion and classification study in an offshore Brazilian pre-salt carbonate field. Usually in this context, we carry out an acoustic impedance inversion studies because the elastic component – Vp/Vs or IS – often does not allow a sufficient lithology discrimination. This is unfortunate as it limits the petrophysical interpretation of the field. Indeed, a 3D elastic information is generally very useful for the reservoir characterization.

The studied field is a giant pre-salt field deep offshore Brazil (2100m of water depth). Platforms around the basin are associated to major transform zones and related to magmatic activity. The trap of the field is represented by a combination of the uplifted tilted faulted block, limited by a series of the NNE-SSW faults, on which the carbonate platform (reservoir) is developed. Here the lateral facies change rapidly from reservoir facies of the carbonate platform into muddy and shaly deep lake facies. The carbonate platform is limited by Ariri salt layer at the top and by shales of Picarras formation at the base. The reservoirs are represented by carbonate lacustrine deposits of syn-rift (Itapema formation) and early post rift (Barra Velha formation). The reservoir quality is controlled not only by process of sedimentation but also by strong multi-phase diagenesis and fracturing. Also on the field, important changes of the originally deposited sediments are related to hydrothermal diagenesis which lead to a specific cementation (dawsonite, silicification, dolomitization) and dissolutions resulting in the appearance of vugs, caves, connected conduits and "fractures' corridors" – big scale heterogeneities and secondary media. The complexity of the field is also complemented by the presence of intrusive rocks linked to several pulses of magmatic activity.

The objectives of this study were to characterize spatial repartition of the lithology in the reservoir and its porosity to assist to the interpretation and the reservoir characterization of the field. The field also has an intricate structure with four compartments and three different Oil Water Contacts.

The challenges on this project are linked to the complex structure of the field with the presence of highly structured magmatic intrusions below the salt and the mix of variable reservoir quality of carbonates difficult to interpret on seismic.
Development of a Rock-Based Geopolymer for Well Abandonment Applications - Utilizing Brazilian Rock Precursors
Authors: da Silva R. Ribeiro , de Oliveira Freitas J. C. , Moreira R. Peralta Muniz , Braga R. Martins , Khalifeh M.
Published: October 2023

This article focuses on the development and characterization of one-part rock-based geopolymer slurries utilizing Brazilian rock precursors for well construction and plugging and abandonment applications (P&A). The study presents the fluid-state and solid-state properties of these geopolymers, X-ray diffraction (XRD), and Scanning Electron Microscopy (SEM) to understand the precursors' microstructure and reaction level. The effect of temperature and pressure on compressive strength development was investigated. By altering these parameters, the study aimed to understand the impact of different environmental conditions on the strength development of the geopolymer material. Technological tests were performed according to API RP 10B-2. Compressive strength tests were conducted to determine early strength development and thickening time, and UCA tests were carried out. Post-curing, Retvied analysis through XRD was performed to examine microstructure and reactivity. Finally, fluid-state properties were also assessed, including thickening time and viscosity. The strength development of the geopolymers is observed to be time and temperature-dependent, as shown through ultrasonic strength data. The final product has a dense structure, and its long-term performance will require evaluation to determine its sealing capability and volume change as a barrier material. The research demonstrates the potential of rock-based geopolymers for well cementing and well abandonment applications using a Brazilian rock precursor.
Unlocking Uneconomic Reservoirs Through a Modified Design for the Tubing Pump for a Commingled Production
Authors: Eltoukhy Mahmoud
Published: October 2023

Artificial lift techniques have been utilized in the oil industry since decades. The main objective is to provide an extra energy to the fluids to be produced into the surface when the reservoir pressure is not capable to deliver the fluids naturally. Among these techniques, Sucker rod pump is still being used worldwide due to its simplicity in design, operations and maintenance. However, it still has some limitations in harsh environments like producing different zones.

For decades, Operators have been using commingled production as a valid alternative to produce mature fields to increase oil recovery. The benefits of commingling production from separate reservoirs are many. Among these benefits, it allows to produce from multiple reservoirs which may not be economic on their own, lower OPEX, less infill drilling activities and a sustained oil production plateau. There are different techniques in oil industry to handle commingled production such dual completion with ESP and gas lift.

In this paper, we will exhibit our modified design for the simple tubing pump. The new innovative design with a double acting movement in the same stroke will allow to produce from commingled zones without suffering from the pressure difference between the zones. During the downstroke, the fluids entered the pump plunger via the traveling valve while the fluids from annulus will fill the pump chamber above the main plunger via ports. Meanwhile, during the upstroke the fluid entered the pump barrel via the standing valve and the fluid from annulus entered the barrel will be lifted above the mandrel to production tubing via one way valve with a sleeve. This new design allows to increase flow area with the same pump size, and hence more flow rate.

This paper showcases a conceptual study that includes the principles and the physics behind the modified design for the tubing pump, which can be utilized as an economic alternative for the common techniques that widely used for commingled production.
Value of Downhole Drilling Data for Real-Time Formation Evaluation and Early Decision Making
Authors: Prasad Umesh , Wu Lei , Hanif Amer
Published: October 2023

Under the environment of complex wellbore trajectory, deviated wells, or lateral drilling, be it for oil and gas, geothermal or carbon-sequestration, the newly developed downhole sensors, data-transmission in real-time together with data-analytics has enabled utilize all information contained in weight-on-bit, rate-of-penetration, rotational speed, torque, effective mud-weight used, and drilling vibrations. The high-resolution drilling data helps us mitigate drilling dysfunction and complement formation logs. In some cases, when conventional log acquisition is not possible, downhole drilling data may become the only source for formation properties. The paper presents our investigations in the standalone use of downhole drilling data. The process evaluates formation properties and integrates with other petrophysical logs to improve real-time data quality and interpretation. Case studies are included from both lab experiments and field examples.

The current research efforts are encouraged by technological developments, in downhole sensors, which can now be included with the bottom-hole drilling assembly and used in in-situ acquisition of drilling data. We use downhole drilling data and consider both rule-based and machine-learning (ML) methods, to evaluate formation for lithological and geomechanical heterogeneities. A well from Gulf of Mexico is selected to apply the concept. Results are verified against established log-based formation properties estimation. In wells with high deviations, or complex trajectories, downhole drilling data is found to be more reliable compared to use of similar measurements made at surface followed by surface-to-downhole conversions. In the present work, we trained the system using 75% of downhole drilling data, together with measured vibrational and bending moment. The model was then applied in the remaining 25% of untrained intervals and demonstrated ability to predict formation properties with good correlation. The evaluation was done on memory-based data received after drilling, however, can also be implemented as automatic processing to support real-time operation.

Drilling data is always available, whenever a well is being drilled. Real-time formation evaluation, based on this information, provides the drilling engineers and geoscientists an additional resource which can be either standalone or complementary to log data. Downhole drilling data is also available early in time compared to LWD sensors typically placed several tens of feet behind the bit. Ongoing improvements in sensor specifications, data quality and interpretation methods, is promising especially for environments where conventional real-time logging is not feasible. For robust ML application, training data from a range of geographical regions and reservoir is included to ensure correct prediction in all scenarios.
Reducing Diesel Consumption and GHG Emissions Using Hydrogen in Drilling Rigs
Authors: Machado R. C. , Oliveira I. , Castro A. G. , Torres E. R. , Brito C. H. G. , Zanella I. Z. , Leonardi F. , Ayad S. M. M. E.
Published: October 2023

The energy industry is seeking to reduce its environmental impact and transition towards a low-carbon future. One way to achieve this goal is by reducing greenhouse gas (GHG) emissions associated with the operation of drilling rigs. This paper describes the Development of a product and a process to inject hydrogen in the engine inlet of a diesel motor generator, which acts as a combustion optimizer, thus increasing efficiency in diesel burning, and reducing diesel consumption and GHG emissions.

The project involves retrofitting a diesel engine with a hydrogen injection system, using hydrogen produced by demand through electrolysis and a control system. The diesel engine operates as usual, but the hydrogen system injects a small amount of hydrogen produced by demand into the engine's intake air. The hydrogen mixes with the air and fuel mixture, improving combustion and reducing emissions. The hydrogen also helps to reduce the fuel's ignition delay, allowing for more complete combustion and reducing the formation of particulate matter. An electronic control unit (ECU) controls the hydrogen injection system, which adjusts the amount of hydrogen injected based on engine load and other operating conditions. The ECU also monitors the engine's performance and adjusts the injection rate to ensure optimal performance and emissions reduction.

The paper presents the results of a feasibility study, which assesses the technical, economic, and environmental viability of the project. The pilot conducted in Ocyan's ODN I Drilling Rig, last year (2022) has shown some excellent results leading to up to 6% improvement in fuel efficiency and CO2 emissions reductions, up to a 31% reduction in carbon monoxide emissions and up to 34% reduction in hydrocarbon emissions. These results are aligned with studies that have shown that hydrogen injection can lead to significant reductions in GHG emissions and other pollutants. During the research and development phase ongoing now, the plan is to execute and study more specific emissions and comparison tests to ensure these reductions. The paper also discusses the challenges and opportunities associated with the adoption of hydrogen technology in the oil and gas industry and provides recommendations for future research and development.

The project is important for the energy industry because it demonstrates the potential of hydrogen technology to reduce emissions, improve efficiency, and support the transition to a low-carbon energy system. By investing in this project, the industry can play a leading role in addressing climate change and contributing to a sustainable future.
Subsea 3D Video Survey of Mooring Chains - Improving Safety, Effectiveness and Efficiency
Authors: Dumont A. , Vagata A.
Published: October 2023

Production of oil & gas using moored Floating Production Storage and Offloading (FPSO) units has been experiencing a significant growth. As of July 2022, there were 209 FPSOs in use around the world. In addition, there are many moored FSOs and CALM buoys. Moored facilities are located in many different operating areas, environments and water depths. This growth has resulted in a major challenge to operators, mooring component suppliers, regulators, and Class Societies to assure the integrity of these facilities. Mooring chains are safety-critical systems for FPSO and moored facilities in general. They are subject to significant environmental and structural loads as currents, waves, drag forces but also impacts, abrasion with the seabed or the fairlead. Failures in a mooring line can result in dramatic consequences for the safety, the environment, and the productions. Periodic inspections are mandatory and can be performed in air or in situ. Several techniques are available, with their advantages and limitations. This paper discusses the motivation and business driver for developing and implementing a new and cost-effective in situ inspection methodology. The approach is based on 3D video survey performed by inspection class ROVs and robotic crawlers that allows to gather critical integrity information in a safer, effective Due to the conditions and the geometrical configuration, the Subsea 3D Survey of Mooring Chains is challenging. However, by using advanced photogrammetry, and laser triangulation techniques (Video Laser Scan™ or VLS™), it is possible to solve such a challenge from simple ROV (Remotely Operated Vehicles) flights and robotic crawler runs when it comes to tiny spaces (Fairlead). The VLS™ sensor (HD camera and Laser Line Projector) is mounted on the ROV that flies along the chain: the laser line scans the links' surface, and four linear paths along the chain ensure 360 degrees of coverage. The ROV is in flying mode and needs to follow the chain at an average distance of about 1m. The output is a high-accuracy Point Cloud from which dimensions of the links can be computed, as well as the 3D mapping of anomalies such as corrosion pits. Examples are presented, and comparison is made between traditional and new inspection methodologies based on recent mooring chains' inspection campaigns to demonstrate the improvement of inspection effectiveness and efficiency.
Development of a Reliability and Maintenance Database System for Offshore Well Equipment in Brazil: MINERVA, Phase 1
Authors: Destri Alice Claussen , Bernardi Pavel Rodrigues , Lopes Manoela Teixeira , Machado Mario Marcondes , Oliveira Helton Luiz Santana
Published: October 2023

This report discusses some of the main challenges and opportunities in the development of a well completion equipment database system in Brazil. To improve the quality of reliability and risk assessments, a major oil field operator recruited a multidisciplinary team to design and implement a Reliability and Maintenance (RM) database system. The primary objective of the proposed solution is to prevent equipment failure and mitigate associated downtime in offshore operations. However, a significant challenge lies in the dispersion of relevant data across multiple sources, including websites, various data repositories, and diverse formats. To address this issue, the solution aims to collect and consolidate these dispersed data into a single, standardized database. The development process involved a comprehensive data science approach encompassing crucial steps such as data collection, cleansing, and standardization. The overarching goal was to strive for accuracy and data integrity. By establishing a centralized and structured database, the solution empowers decision-makers to access reliable and comprehensive data, ultimately improving the management decision process. As a result, a reliability database named MINERVA (MINEr of Reliability for Value Adding) was built with more than 15,000 well-years data (operating time). The main idea is to improve the quality of the risk and reliability assessments for, e.g., workover demand estimates, completion alternative evaluations, "what-if" analysis, and so on. Among the contributions from the efforts undertaken at MINERVA Phase 1, is the incorporation of knowledge for the industry that translates into savings in operating costs such as maximization of well reliability and availability, reduction of the carbon footprint of production operations by avoiding unnecessary interventions, reduction of workover duration and the need for spare parts and associated logistic costs.
Well Swapping and Conversion Optimization Under Uncertainty Based on Extended Well Priority Parametrization
Authors: Barros E. G. D. , Szklarz S. P. , Hopman J. , Hopstaken K. , Gonçalves da Silva J. P. , Bjørlykke O. P. , Rios V. , Videla J. , Oliveira R. , Hanea R. G.
Published: October 2023

Offshore field development activities are commonly constrained by the capacity of production facilities available at the platform. It is a challenge for practitioners to find the best development and operational strategies to maximize field production in the presence of such constraints. Additional difficulties are raised when the often large geological uncertainties inherent to field development activities need to be accounted for throughout the search for the best strategy. In this work we present how computer-assisted optimization can help practitioners tackle these challenges.

In this work, we focus on the particular problem of selecting the optimal subset(s) of wells to be subject to certain operational actions taking place throughout the field production life-cycle. We leverage robust and efficient field development optimization framework (EVEReST) based on stochastic gradients and its flexibility for customization to new types of decisions. We extend the mathematical parametrization based on a single set of well priorities, so far used to optimize time-static drilling order and well selection optimization. We apply it to multiple sets of well priorities which facilitate the formulation of the large combinatorial time-dynamic well subset selection optimization problem in terms of continuous control variables more suitable for gradient-based optimization techniques.

The extended method is applied to two different real-life field case studies based on an offshore heavy oil field. In the first case, we use the well priorities to determine how to optimally select and swap the 14 producers (out of a total of 18) to be put on stream to satisfy constraints on the available variable speed drivers (VSDs) to provide power to the ESP pumps required to operate the producers. In the second case study, we tackle the problem of converting producers into polymer injectors for EOR purposes. Firstly, simulation scenarios indicate that such conversion has a positive impact on the overall project business case. However, deciding which 2 wells (out of a total of 5) to convert into polymer injectors, combined with when and how much polymer to inject while respecting the limits of available capacity of polymer injection facilities, leads to a complex optimization problem.

In both case studies, optimization found improved and non-trivial strategies, resulting in significant increases in the economic objective function (+107 million USD and +318 million USD in terms of NPV) and providing new insights to asset engineers into the operations of the field. This showcases the strengths of the EVEReST framework to tackle real-life optimization problems accounting for complex constraints and uncertainties which are critical to deliver solutions of practical value to the asset teams.
Automatic Cement Evaluation Using Machine Learning
Authors: Itikawa M. A. , Ahón V. R. R. , Souza T. A. , Carrasco A. M. V. , Neto J. C. Q. , Gomes J. L. S. , Cavalcante R. R. H. , Ribeiro I. B. , Rocha J. M. S. , Carvalho C. P. C. , Lima L. B.
Published: October 2023

Cementing is an extremely important step in the well construction process. It has important objectives such as hydraulic sealing to prevent migration of undesired fluids from the formations and their collapse. One of the methods to verify the quality of cementat jobs is running acoustic logging tools such as CBL/VDL and ultrasonic and inferring zonal isolation by the interpretation of such data. This study aims to use machine learning techniques for automatic cement logs interpration. Cement logs of 25 wells were used as database. The logs responses have been classified in five classes according to the bond quality by specialized interpreters. These classified segments were used to train neural networks and other supervised machine learning models, such as random forests and k-nearest neighbor (KNN). Feature engineering is used in order to find new and high-performance features. The models were developed in a Jupyter environment using Python libraries. The best classifier has a simple accuracy of 61.4% and approximate accuracy (where the prediction is up to one class away from target) of 91.3%.
The Revolution in Marine Geo-Data Acquisition. What Does This Mean for a Future Workforce?
Authors: Sodré Y. , Chatten J. , Liddell M.
Published: October 2023

With the strong growth being experienced (and further forecast) within the blue economy, significantly driven by the requirement for energy security, there is increasingly an industry workforce shortage. This shortage alongside the work/life balance expectation of a new generation entering the industry requires a new approach to how we manage our marine operations. The introduction of larger, longer- endurance uncrewed surface vessels (USVs) is not only transforming how these vessels are operated, but also how conventional crewed vessels collect and process geo-data. Improvements in vessel connectivity alongside increased automation and digitalization is driving a major change in the operational model for offshore geo-data collection using onboard, hull-based sensor arrays and onboard remote operated or autonomous vehicle that can be programmed and controlled from a remote location. Advancements in offshore communications, the use of cloud-based processing and data storage, and the infrastructure within a network of onshore remote operations centers that can be located anywhere in the world is enabling a transformation in how geo-data is acquired and processed. These advancements deliver an increase in sustainability, improvement in safety and improving efficiencies, meaning experts are now available for consultation without the burden of additional logistics required to mobilize the field. Likewise, career pathways within the offshore geo-data sector are becoming increasingly more varied with strong technical career opportunities offshore and onshore. This will provide opportunities for a more diverse workforce, and we are seeing a convergence in the operational approach being utilized on both USVs and conventional crewed vessels. This change in the offshore operational model has implications for the workforce currently involved in the industry, from trainee through to the end client, as well as for the future workforce joining our industry. The development of new technologies and the improvement of existing and new production scenarios will allow for a safer work environment and contribute to a sustainable and livable world.
Coupled Geomechanical-Flow Modeling for Pressure Transient Analysis and Permeability Loss Management in Biot's Stress Sensitive Fractured Oil Wells
Authors: Fernandes Fernando Bastos , Braga Arthur M. B. , Souza Antônio L. S. de , Soares Antônio Cláudio , Rezende Fernando Henrique G.
Published: October 2023

The adequate management of the damage caused by effective permeability loss in stress-sensitive reservoirs becomes essential to productivity maintenance. This paper proposes a new unsteady-state poroe- lastic solution for the nonlinear hydraulic diffusivity equation (NHDE) in Biot's effective stress-sensitive reservoirs fully penetrated by fractured oil wells. The hydraulic fracture in the proposed mathematical modeling is finite with tip effects and crosses the whole reservoir net pay. The NHDE is expanded in a first-order asymptotic series, and a poroelastic integro-differential solution coupled with a Green's function (GF) is used to represent the source/sink term. A set of pore pressure and permeability data is used from geomechanical literature and transformed into effective stress through Biot's equation. The effect of the Biot's coefficient, overburden stress, oil flow rate, fracture's tip, and proppant porosity arrangements are simulated. The results show that these parameters are essential to minimize formation damage. The accuracy, ease of implementation, and low computational costs constitute the main advantages of the model addressed in this paper. Hence, it may be a valuable and attractive mathematical tool to identify flow regimes, providing permeability loss control and supporting well-reservoir management. Hence, the proposed modeling becomes a useful and attractive tool for forecasting and monitoring permeability loss, oil flow rate specification, and reservoir history matching.
Optimizing Well Control Strategies with IDLHC-MLR: A Machine Learning Approach to Address Geological Uncertainties and Reduce Simulations
Authors: Santos D. R. , Fioravanti A. R. , Botechia V. E. , Schiozer D. J.
Published: October 2023

This paper presents an advanced version of the previous IDLHC-ML approach, designed to enhance life-cycle well control optimization by reducing simulations. Unlike its predecessor, this updated method, called IDLHC-MLR, uses representative models (RMs) to address the effect of geological uncertainties on production strategies. Despite presenting additional computational challenges, considering uncertainties in determining effective strategies is crucial, making the new IDLHC-MLR approach a valuable solution.

The IDLHC-MLR combines the iterative discrete Latin hypercube optimization algorithm (IDLHC) with machine learning (ML) to robustly optimize the well's bottom-hole pressure (BHP) throughout the field management period. The method is applied to the UNISIM-I-M benchmark of Namorado Field, located in the Campos Basin, Brazil. The IDLHC-MLR method trains the initial ML model with well BHP strategies robustly applied to all RMs in the first iteration of IDLHC. In subsequent iterations, the trained ML model is used to predict the expected monetary value of the RMs, and only a subset of new strategies with the highest expected outcome is selected for simulation. In addition, the ML algorithms are retrained with newly generated strategies over the iterations to improve the model's accuracy.

The IDLHC-MLR incorporates stacked ensemble learning, which leverages predictions from various base machine learning models to train a secondary algorithm. In this approach, the IDLHC-MLR employs multiple base learners such as Lasso, Gradient Boosting, and Random Forest to make predictions, which are then inputted into a multi-layer perceptron for training purposes. This integration of multiple base models results in a more robust and accurate prediction and provides a 45% reduction in the number of simulations required compared to the traditional IDLHC model while maintaining similar expected monetary value. To conclude, utilizing inexpensive ML models effectively reduces computational time by substituting costly full-physics reservoir simulations.

The significant computational time required for full-physics simulations, particularly when considering multiple scenarios to account for uncertainties, can pose a challenge to meeting project deadlines. The IDLHC-MLR methodology, incorporating low-cost ML models, offers a practical solution to reduce computational time, increasing the likelihood of successful project implementation within the given timeline.
A Presalt Operator Experience with Different Resistive Imaging Tools in NCM Environment
Authors: de C. Laier Ana Patrícia C. , Fatah Tuany Y. A. , de Araújo Alexandre Magno Barbosa , Barreto Denise , Salazar Jesus P. , Mesquita Flavio C.
Published: October 2023

Considering the challenges faced in the Brazillian presalt, the importance of acquiring good quality borehole imaging (BHI) data in exploratory and production wells in this amazing province is crucial. The BHI is used to provide detailed information needed for geological, geomechanical and petrophysical analysis. The objective of this study was to compare the images of four different wireline borehole imaging tools acquired in a non-conductive mud (NCM) system with the main purpose of investigating the use of the conductive technology imaging tool to operate in this type of environment.

The use of borehole image technology allows the visualization of geological, geomechanical and petrophysical features such as facies, lithological boundaries, fractures, small-scale faults, drilling induced fractures and breakouts, invasion, fluid contacts and secondary porosity. This study proposes an integrated analysis between the data acquired with a high-resolution resistivity formation imager wireline tool originally designed for conductive mud systems, in a non-conductive mud system, with two other resistivity imagers designed for non-conductive mud systems and with an acoustic imaging tool that works in both environments. The four data image files logged in the well were processed and interpreted by the operator including quality control. The operator used an integrated approach during planning, acquisition, processing and interpretation.

Since they are an important part to understand the results, the measurement principles of each technology are briefly described in the Borehole Imaging (BHI) & Previous Studies section. The acquisition of an image using a tool developed for the conductive environment in a non-conductive mud system was successful. But when these results were compared with the images from two other imaging tools designed for this type of drilling fluid, it was clear that the latter had better performances presenting good quality images in most part of the logged interval.

The results show that imaging tool designed for the conductive environment presented a borehole image with good quality in a non-conductive environment with a good repeatability when compared to images from tools designed specifically for this latter environment.
Phototherapy and mycosis fungoides: what’s new?
Authors: Iacovelli Paolo , Pacifico Alessia , Mariano Maria , Orsini Diego , D'Arino Andrea , Pigliacelli Flavia
Published: October 2023

Mycosis fungoides (MF) is the most common cutaneous T-cell lymphoma, clinically characterized by erythematous-scaly patches and erythematous-violaceous nodules. Phototherapy plays an important role in MF, currently used as first line treatment in the early stages. The aim of this study is to analyze and review the different options of phototherapy on cutaneous lymphoma.
Correction. Subtyping of advanced lung cancer based on PD-L1 expression, tumor histopathology and mutation burden (EGFR and KRAS): a study from North India
Authors: Publisher The
Published: October 2023

In the Article titled “Subtyping of advanced lung cancer based on PD-L1 expression, tumor histopathology and mutation burden (EGFR and KRAS): a study from North India” published on February 1, 2023, in the Early Access issue of Monaldi Archives for Chest Disease, an author name was misspelled. In the byline, the fourth author, “Sonam Spalgius” should have been “Sonam Spalgais.” This article was corrected online.
L'impatto del COVID-19 sul Change Management: una revisione narrativa
Authors: Palermo Natalino , Limonti Francesco , Semeraro Angelica , Ermanno Daniele , Paludi Miguel Angel , Ramacciati Nicola
Published: October 2023

Introduzione: nel contesto della pandemia da COVID-19, monitorare il benessere organizzativo degli operatori sanitari è prioritario. Sovraccarico emotivo, malessere psico-fisico, turni estenuanti e carenze di gestione sono state le principali sfide affrontate.
Materiali e Metodi: è stata effettuata una revisione di letteratura e sono stati selezionati articoli da database e raccolte di database (Pubmed, Cochrane Library, Cinhal, Scopus) seguendo il metodo PICOM. Sono stati analizzati 26 articoli in full-text che corrispondevano agli obiettivi di revisione.
Risultati: è stato possibile evidenziare, negli articoli scelti in seguito alla consultazione, sovraccarico psicologico, stress, ansia, depressione.
Discussione: i risultati indicano che la pandemia da COVID-19 ha avuto un impatto significativo sul benessere mentale degli operatori sanitari. Differenti sono le strategie proposte in letteratura per migliorare il benessere del personale sanitario: gestione dei carichi di lavoro, implementazione di servizi di supporto psicologico, adozione di misure di autocura.
Conclusioni: implementare strategie ed interventi mirati per mitigare gli impatti negativi sul benessere e la soddisfazione del personale sanitario. Il benessere organizzativo del personale rappresenta un aspetto chiave per garantire la qualità delle cure e salute fornite, nonché del personale stesso.
A Selection Tool Based on Height and Count the Number of Goods on Conveyor using Microcontroller
Authors:   Electrical Engineering, Universitas Udayana, Bali, Indonesia, Gunantara N , Pramaita N , Sudarma M , Agung IGAP Raka , Arfianto A Z
Published: October 2023

The fourth industrial revolution is a big leap for the industrial sector, where information and communication technology is used optimally in all fields. Not only in the production process, but also in the entire chain of activities in industry. This gives birth to a new business model based on automation to achieve high efficiency and better product quality. There are many industries or factories that produce goods and the types of goods are varied. Apart from that, the production of goods produced by industries or factories has different levels. In the production of very large and varied goods, if the selection of goods by selecting the height and counting the number of goods is done manually, it will require a lot of human labor. Apart from that, it will also take a very long time and the possibility of errors is also large. To overcome this problem, a tool for selecting goods based on height and calculating the number of goods with a conveyor was designed and manufactured using an ESP32 microcontroller. The design and manufacture of the selection tool begins with creating a circuit schematic using Autodesk Eagle software. Then a prototype was made for a tool for selecting goods based on height and at the same time calculating the number of goods equipped with three storage boxes. This prototype was carried out using Fusion software. This goods selection tool uses mechanical and electrical materials. To determine the reliability of the tool, testing was carried out. In this test, the goods to be selected have a height of 7 cm, 14 cm and 21 cm. Goods with a height of 14 cm are put in the storage box on the left side. Goods with a height of 21 cm are put in the storage box on the right side. Meanwhile, goods that are 7 cm high are rejected and go into the storage box in front of them. The test results show that the selection tool based on height and counting the number of goods works perfectly.
Power Management Optimization of HES Connected to the Grid-Based IEMS
Authors:   University of Annaba Labortoire des Systèmes Electromécanique (LSEM), Annaba, Algeria, BOUTHIBA Youssouf , MEGHNI Billel , TALEB Rachid , BELHAMRA Ali
Published: October 2023

This paper presents a study of a grid-connected hybrid energy system (HES) consisting of photovoltaic/wind/fuel cell/battery/supercapacitor (SC). The purpose of using SC with the battery is to create a hybrid energy storage system (HESS) with high energy density. To prevent overcharging of the latter, a discharge load was employed (in our case, a resistance). The objectives of this research are to operate the photovoltaic generator and the wind power generator at their maximum power points by applying the perturbation and observation (P&O) technique and the tip speed ratio (TSR) technique, respectively. On the other hand, the energy management of the proposed system aims to achieve an energy balance between the grid and the HES despite climate changes and changes in energy demand to which the system is exposed, and to lengthen the life cycle of the HESS by keeping the state of charge (SOC) within a limited range. This management is accomplished by using a classical energy management strategy. To achieve optimal power management of the proposed system, a new intelligent energy management strategy (IEMS) based on the FLC-FOPI is proposed. A comparative analysis was also conducted between the classical strategy and the proposed strategy. As for the grid-side converter, direct power control based on SOSMC technique (DPC-SOSMC) has been proposed to regulate the flow of active and reactive power according to grid demand based on HRES. To demonstrate the effectiveness of the proposed controllers, simulation results evaluating the proposed system under variable conditions are presented using the Matlab-Simulink platform.
Identifikasi Spesies Pinang (Areca catechu L.) dan Pemanfaatannya oleh Masyarakat Maluku Utara
Authors: Muna Lintal
Published: October 2023

Areca catechu L. is a type of palm whose direct use is still limited to certain consumers. This plant is rich in benefits. The use of areca nut is different from one area to another. This study deserves to be researched, as information for the Indonesian people about the use of areca nut. This study aims to identify betel nut species and to assess the use of betel nuts by the people of North Maluku. This research was a qualitative research. This research was conducted in 3 locations, namely 1 location in Jailolo Selatan sub-district to be precise in Sukadamai Village, West Halmahera Regency and 2 locations in Tidore Islands, precisely in Gurabunga Village and Rum Village. This research was conducted in June-July 2019. The data collection technique was done by means of observation, interviews, and documentation. The data that has been collected is then analyzed using a plant identification book and matching it with several references from research journals, while for interviews used data reduction techniques, data display, drawing conclusions and verification. Based on the research results, there are 5 species of areca nut, namely the common areca nut, the pare areca nut, the round areca nut, the areca nut, and the areca palm. As for the use of areca nut by the people of North Maluku, namely as an ingredient for daily consumption (chewing) with lime and betel, itching medicine, appetite enhancer for children and adults, eye purifier, cleaning the tongue in toddlers, overcoming discomfort in children. mouths of adults, anti migraine, traditional events (weddings, ceremonies for inviting genies), medicine for people with liver disease, and washing wounds.
Pengaruh Penggunaan Metode Observasi terhadap Kemampuan Klasifikasi Siswa Kelas X SMAN 7 Bekasi
Authors: Zulfah Zulfah , Akbar Budhi , Abdullah Sahami
Published: October 2023

This research aims to know the effect of the observation method used toward the classification ability of student in grade X. This research was conducted in the first semester of academic year 2015/2016 in october-november, SMAN 7 Bekasi. The method used quasi experiment method. Population in this research were all students of X MIA class at SMAN 7 Bekasi 2015/2016, the sample were X MIA 4 class with 30 pupils and X MIA 5 with 32 pupils. The research sample was taken by cluster random sampling technique. The instrument used in this research were test instrument. Instrument test contains 20 questions of the classification ability, the instrument has been tested with the validity teste in XI IPA 1. The research exhibit that the type of classification ability was more controlled by the experimental class. It can be seen in the persentage owned by the experimental class in each indicator of the ability of classification, with the largest percentage in catagorizing indicators at 87,22%. The average value of the experimental group was 77,30 with a standard deviation at 9,16 and an average value in the control group was 57,03 with a standard deviation at 8,96. In the t test of the calculation results obtained value thit = 8,95 and t0,99 = 2,66. Because it was greater than t table then H0 rejected and H1 accepted. Thus, it can be concluded that there are significant observations of the ability to use the classification method in class X on the matter of biodiversity in SMAN 7 Bekasi.
Pengembangan Media Pembelajaran Handout Berbasis Discovery Learning Di SMAN 17 Luwu
Authors: Hasrah Hasrah , Khaerati Khaerati , Yunus Nur Muhajirah
Published: October 2023

This study aims to determine the results of the development of Discovery Learning-based Handout learning media at SMAN 17 Luwu. This type of research is R&D (Research and Development) which refers to the ADDIE development research design which consists of five stages, namely analysis, design, development, implementation and evaluation. The population of this study were all students of class XII SMAN 17 Luwu and the sample of this study was class XII MIPA 2 who were selected using a purposive sampling technique. The research instruments were in the form of validation sheets, questionnaires and learning achievement tests. Data analysis techniques used in this study are validity test, practicality test and effectiveness test. The results of research on the development of Handout learning media based on Discovery Learning at SMAN 17 Luwu show that: (1) media expert validation test data obtained a validity percentage of 87.5% (very valid) while material experts obtained 84.3% (valid) (2) test the practicality of the teacher's response to the product was 95% (very practical) while the student's response to the product was 71.05% (practical) (3) the effectiveness data was obtained 85% (very effective). The conclusion from the development of Discovery Learning-based Handout learning media can be used in Metabolism material at SMAN 17 Luwu.Keywords: development; handout learning media based on discovery learning
Dampak Perilaku Masyarakat Membuang Sampah Terhadap Kualitas Air Anak Sungai Kahayan Mendawai 7 Ujung Kota Palangka Raya
Authors: Hujjatusnaini Noor Hujjatusnaini , Amin Astuti Muh. , Mu’minah Alfina , Dahlianti Dahlianti , Khatimah Dona Husnul , Khasanah Purnama Uswatun , Rasimah Rasimah
Published: October 2023

Settlements that develop around rivers will result in problems with the disposal of household waste to the riverbanks. There is quite a lot of household waste that enters the river. This study aims to determine the pollution index of the tributaries of the Kahayan Mendawai 7 Palangka Raya River to the fish in the river. The analysis was carried out using water quality analysis based on the MPN (Most Probable Number) Coliform, consisting of three test stages, namely an estimation test using Lactose Broth (KL) medium, a confirmation test using Brilliant Green Lactose Broth (BGLBB) medium, and a certainty test. using Mac Concey Agar (MCA) medium. This type of research is a direct survey method and laboratory analysis. this research was carried out in October 2021. The results of this study were obtained based on the formula and table of MPN values, three series of tubes were obtained with the total MPN Cokiform value in the estimating test of 2,400 cells/100 ml sample, the MPN value confirming test 28 cells/100 ml sample, and the number of Escherichia coli colonies in the certainty test were 69 colonies, so the water quality of the tributary of the Kahayan Mendawai 7 Ujung City of Palangka Raya was in the category of polluted and unfit for consumption.Keywords: Household Waste, Water Quality
Evaluation of the Relationship between Stress Level During Pregnancy and Postpartum Depression as the Pandemic Ends
Authors: Gökçek Mebrure Beyza , Özsaydı Seçkin
Published: October 2023

Pregnancy is a life process that progresses with biological, physiological, and psychosocial changes. Especially the challenging factors during the pandemic caused pregnant women to experience more stress than expected. Postpartum depression is one of the important mental health problems that follow giving birth. In our study, we aimed to investigate the relationship between postpartum depression and stress levels during the pregnancy, in a period in which the effects of the pandemic decreased. Our study was conducted on 102 persons with a mean age of 25.8±4.5. The data collection process was carried out using a survey under the supervision of the researchers. The survey consisted of two-stages. In the first stage, the sociodemographic characteristics of the people were questioned, and the Pregnancy Stress Assessment Scale (PSAS) was applied. In the second stage, the Edinburgh Postpartum Depression Scale (EPDS) was applied. PSAS mean score was 97.0±23.7 and SPDS mean score was 8.07±5.55. Pregnant women who have chronic diseases had a higher stress level (p=0.011). EPDS mean score was significantly higher in the group whose pregnancy ended in abortion (p=0.001). The pandemic has been a source of great concern for women in the postpartum period. However, we think these worries must have been decreased with the normalization process. In our study, no relationship was found between postpartum depression and stress level of pregnancy. It was observed that the postpartum psychological state was mostly affected by the postnatal health conditions of the mother and the baby. Closely monitoring the mother's mental health after birth and supporting the mother from medical personnel will help the mother to protect her mental health.
Introduction for TQR Special Issue: “International Scholarship for Qualitative Theory, Methods, and Analysis”
Authors: Pope Elizabeth M. , Costa António Pedro
Published: October 2023

The field of qualitative research is robust and nuanced. While there are foundational standards to which all researchers hold, many intricacies regarding theory, methods, and analysis are influenced by differing training and expectations. These latter components are themselves often influenced by the norms of culture and geographic location. Researchers can learn much from international inquiry. In this introduction to the special issue of The Qualitative Report, “International Scholarship for Qualitative Theory, Methods, and Analysis,” we briefly consider the benefits and challenges that come from international scholarship. We then introduce the articles in the issue and their connection with the 2023 World Conference on Qualitative Research.
Respon Pertumbuhan Setek Tunas Tangkai Bunga Melati Air (Aquarius palifolius) pada Berbagai Jenis Media Tanam
Authors: Alfina Rina , Darlis Olivia , Rizki Rizki , Rasdanelwati Rasdanelwati
Published: October 2023

Research on the growth of water jasmine stem cuttings in various planting media aims to study the response of water jasmine stem cuttings to different planting media and obtain the best planting medium for the growth of water jasmine stem cuttings. The experiment uses a Completely Randomized Design (CRD) with 4 treatment groups of planting media and 5 replications, resulting in 20 experimental units. The planting media used as treatments are paddy soil, paddy soil + chicken manure fertilizer, paddy soil + cow manure fertilizer, and paddy soil + burnt rice husk. Growth parameters observed include percentage of growth, plant height, and the number of leaves. Based on the research results, it can be seen that the growth of water jasmine stem cuttings showed significantly different responses when planted in various types of media. The best planting medium to accelerate the growth of water jasmine stem cuttings is paddy soil + cow manure fertilizer, with greater plant height and leaf count compared to the other three treatments.