bluuebunny/crossref_metadata_2025_split huggingface dataset:
Parceria empresa-ONG: inovação social para o desenvolvimento comunitário na Amazônia brasileira
Authors: Moreira Plínio Victor , Vasconcellos Sobrinho Mario , Barros Jones Nogueira , Vasconcellos Ana Maria 
Published: November 2024

A pesquisa objetivou entender até que ponto parcerias estabelecidas entre grandes empresas e ONGs, enquanto inovação social, contribuem para minimização de conflitos socioambientais e suporte para o desenvolvimento comunitário. De forma específica, a partir de estudo de caso, é analisada a parceria emergida entre a empresa Hydro e a ONG Instituto Peabiru, no município de Barbacena, no Pará, por via de dois projetos de desenvolvimento comunitário: (1) “Ativa Barcarena”; e (2) “Tipitix”. Em termos teóricos, a pesquisa mostra que parceria é construída em processo e pode ocorrer mesmo em relações que iniciam com baixo nível de confiança. Entende-se que ela se fortalece na medida em que emergem resultados positivos. Empiricamente, o estudo mostra que a parceria Hydro-Instituto Peabiru propiciou a melhoria da produção local da agricultura familiar e a inserção de produtos no mercado, tendo contribuido para o desenvolvimento das comunidades envolvidas.
Purification of Phycocyanin from Spirulina platensis Using Natural Deep Eutectic Solvents with Varied Hydrogen Bond Donor
Authors: Tentua Eirene , Hardiningtyas Safrina Dyah , Setyaningsih Iriani 
Published: November 2024

Graphical Abstract

Highlight Research

Phycocyanin extract from Spirulina platensis was achieved.
Highly pure phycocyanin was obtained through NaDES purification method.
Strong antioxidant activity of phycocyanin was observed (IC50 <50 ppm).
Successful removal of impurities confirmed by gel electrophoresis.

Abstract
Phycocyanin, a pharmacologically potent blue pigment extracted from Spirulina platensis, requires optimal purity for effective utilization. Traditional purification methods, although effective, are impeded by time and cost constraints. Addressing this challenge, aqueous two-phase systems (ATPs) incorporating natural deep eutectic solvents (NaDES) emerge as promising alternatives. These systems offer operational simplicity and cost-effectiveness, ensuring efficient purification with high purity and optimal recovery of phycocyanin. This study investigated the impact of various types of hydrogen bond donors (HBD) within choline chloride-based natural deep eutectic solvents (NaDES) on the purification of phycocyanin. Phycocyanin was extracted from Spirulina platensis biomass through ultrasonication and purified using an aqueous two-phase system with various HBD of NaDES, including urea, glycerol, and citric acid. The experimental design adhered to a completely randomized design. The initial purity index and yield of crude extract phycocyanin were 0.54±0.02 and 12.79±0.27%, respectively. The NaDES system with ChCl:citric acid exhibited superior performance, demonstrating a high purity index and recovery (2.3-fold, 71.83±2.36%) compared to ammonium sulfate (1.5-fold, 70.15±4.10%). The obtained phycocyanin was partially pure compared to commercial phycocyanin (purity index: 1.60), as indicated by SDS-PAGE. Moreover, the antioxidant activity of phycocyanin was enhanced post-purification, evident in the IC50 value of 40.54 ppm. In summary, organic acid-based NaDES has proven effective in increasing the purity and achieving a significant recovery percentage of phycocyanin compared to conventional ammonium sulfate methods. The antioxidant activity of phycocyanin was enhanced after purification. These results indicate the promising potential of NaDES-based ATP systems for producing functional protein-based ingredients, exemplified by phycocyanin.
Response to Fishing Decisions and Changes in Fishing Income during Extreme Weather: A Behavioural Economy Study of Small-Scale Coastal Fisher Households
Authors: Rahim Abd. , Abdul Malik  , Diah Retno Dwi Hastuti  
Published: November 2024

Graphical AbstractHighlight Research1. Decision response of fishermen to fish 2. Changes in fishing income 3. Extreme weather caused by climate change 4. Economic behavior of fishing households.
Abstract Extreme weather, attributed to global climate change, has altered the economic behaviour of small-scale fishing households in coastal areas. This study aims to analyse the economic behaviour of fishermen by investigating their fishing decisions using a logistic regression model using the maximum likelihood estimation method and their fishing business income through a normalized profit function. The research employed a quantitative research method with a survey approach conducted in the western coastal region of Barru Regency, Indonesia. The research sample consisted of 209 fishing households. The findings reveal that fishermen fish during extreme weather conditions to meet their household's economic needs, even though their earnings are diminished. Various factors, including the power of the boat engine, fishermen's age and education level, and the potential income from fishing, influence the decision to fish during extreme weather. Additionally, engine fuel prices, education levels, and the number of dependents in the family also impact fishers' income during extreme weather. The most important factor influencing the decision to fish in extreme weather conditions is formal education. Another factor that has the greatest impact on fishermen's income, both in the fishing season and during extreme weather, is the price of engine fuel. Fishermen can adapt to events triggered by extreme weather by implementing specific strategies. For instance, diversifying income by aquaculture production can be an alternative to sea fishing. Diversifying the types of fishing gear to accommodate different weather conditions is equally crucial. Fishing periods and locations can be adjusted to align with prevailing weather conditions. The contribution and significance of this research is to provide insight and understanding of the impact of extreme weather on fishing decisions and changes in the income of capture fishermen. This condition is the economic behaviour of small-scale fishing households in coastal areas when faced with extreme weather events.
Oceanographic Characteristics in the Three International Indonesian Archipelago Sea Lanes (IASLs) Region: Implications for Underwater Acoustics System
Authors: Putra I Wayan Sumardana Eka , Atmadipoera Agus Saleh , Manik Henry Munandar , Harsono Gentio , Purwandana Adi 
Published: November 2024

Graphical Abstract

Highlight Research

The IASL-1 entry portal in the southern and northern regions shows the emergent SOFAR channels.
The shadow zone and the existence of a SOFAR deep sound channel in the IASL-2 and IASL-3 routes can be triggered by the emergent “saddle” SVP pattern.
The variability seasonally and interannually due to variations in seawater properties stratification plays an important role in SOFAR channel appearances in IASLs.
The diverse oceanographic characteristics of IASLs necessitate the implementation of sustainable marine geospatial data.

Abstract
The Indonesian Maritime Continent (IMC) provides three international sea lanes, known as the Indonesian Archipelago Sea Lanes (IASLs), allowing ships to navigate across territorial waters between the Pacific and Indian Oceans and vice versa. Gaining knowledge about the distinct oceanographic characteristics of the three IASLs can offer valuable insight into maritime safety and sustainable marine resource management. This study aims to review oceanographic characteristics in IASL regions from available past studies to provide a comprehensive insight into the processes and dynamical oceanography in the IASL region and its implications for underwater acoustic patterns. The results of research found that the IASL-1 route is characterized by a shallow shelf passage with homogeneous sound velocity profile (SVP) but a deep and narrow entry portal in the southern and northern SOFAR channels. Seasonal reversal monsoonal wind-driven current dominates the circulation. The IASL-2 and IASL-3 routes convey a deep and narrow passage with complexity of sea-air interactions; they vary on seasonal and interannual time scales. These IASLs emerge with the “saddle” SVP, which can trigger the shadow zone and the existence of a SOFAR deep sound channel that varies seasonally and interannually due to variations in seawater properties stratification. The diverse oceanographic characteristics discussed above significantly influence the underwater object detection equipment, the planning time, and the strategies for underwater defense systems. Due to these implications, it is necessary to utilize marine geospatial database. Subsequently, these data may be utilized to facilitate policy-making and provide approximations for marine activities and management along the IASLs.
Optimization and evaluation of the physical stability of shampoo preparations containing virgin coconut oil and aloe vera extract
Authors: Oktosa Megi , Nareswari Tantri Liris , Syafitri Erga , Adliani Nur 
Published: November 2024

Background: Hair is crucial for both aesthetic appearance and protection against sun damage. Shampoo is vital in hair care, often formulated with natural ingredients to enhance its effectiveness. Virgin coconut oil (VCO) and aloe vera extract are two ingredients known for their roles as moisturizers and conditioners, as well as nutrients and emollients.
Objective: The study aimed to evaluate and optimize the stability and physical characteristics of shampoo containing VCO and aloe vera.
Methods: The primary surfactant, sodium lauryl sulfate (SLS), was tested in concentrations of 2%, 4%, 6%, 8%, and 10%. The shampoos were prepared using an emulsification method and were evaluated based on organoleptic properties, homogeneity, pH, specific gravity, and viscosity. The formula that met all Indonesia National Standard (SNI) requirements was selected for further testing, including a cycling test to assess stability.
Results: The findings indicate that the formula 5 (F5) containing 10% sodium lauryl sulfate exhibited optimal physical characteristics. Throughout six rounds of cycling tests, no phase separation was observed in F5, underscoring its stability.
Conclusion: The optimized shampoo formula containing VCO and aloe vera (F5) demonstrated compliance with the required physical characteristics and stability standards. This formula presents a viable option for effective hair care, combining the beneficial properties of its natural ingredients with chemical stability.
Quantifying Inter-Well Connectivity and Sweet-Spot Identification through Wavelet Analysis and Machine Learning Techniques
Authors: Kalule Ramanzani , Iskandarov Javad , Al-Shalabi Emad Walid , Abderrahmane Hamid Ait , Markovic Strahinja , Farmanov Ravan , Al-Farisi Omar , Gibrata Muhammad A. , Eldali Magdi , Lozano Jose , Huang QingFeng , Rouis Lamia , Ameish Giamal , Rondon Aldrin 
Published: November 2024

Abstract
This study leverages wavelet analysis and machine learning (ML) techniques, including a 1D Convolutional Neural Network (1D CNN), to analyze inter-well connectivity and pinpoint an optimal new drilling location (sweet spot) based on datasets from five wells. The dataset utilized in this work includes well logging data of porosity, permeability, and water saturation at different depths of the wells. A 1D CNN was used to extract important features from the dataset. Wavelet analysis and correlation techniques were applied to the feature space extracted by the 1D CNN, revealing inter-well connectivity. Well-pairs with the highest correlation scores indicated enhanced inter-well communication. For identifying a sweet spot, machine learning regression models, including Gaussian Process (GPR), K-Nearest Neighbours (KNN), Gradient Boosting (GB), and Extreme Randomized Trees (ERT), were trained and tested to predict properties across the field. Locations with high porosity, high permeability, and low water saturation were assessed to identify sweet spots. The Wavelet analysis was then used to detect and analyze inter-well communication between identified locations and existing wells, aiding in identifying a new optimal drilling location relative to the five wells.
Operations Reduce Scope One Emissions Through Rig Electrification and Energy Efficient Lighting
Authors: Landry B. , Stopkoski C. , Norton B. 
Published: November 2024

Abstract
Operators are looking for simple and affordable solutions to significantly reduce the environmental impact of their operations, and many are weighing the benefits of electrification as a substitute for traditional diesel engines. Where a connection to the local utility power grid is available, electrification is an effective way to decrease carbon intensity and operating costs while maintaining operational efficiency. This paper describes the environmental impacts of rig electrification through the utilization of a utility power module and the use of overhead LED lighting, which eliminates the need for diesel portable light towers.
Canrig has developed and manufactured a utility power module that allows local grid power to be used on any drilling rig, regardless of the rig's manufacturer. Where sufficient grid power is available, the utility power module seamlessly integrates grid medium voltage and converts this into usable voltage for the rig in a safe and cost-effective manner. Overhead LED lighting can be used on any rig because this energy efficient solution can be used on any drilling rig, regardless of the rig power source. Together, these technologies deliver significant economic benefits by reducing energy costs and improve environmental stewardship by effectively mitigating Scope 1 emissions, defined by the U.S. Environmental Protection Agency as direct greenhouse gas (GHG) emissions from sources controlled or owned by an organization.
A key benefit of applying these solutions together is that they can reduce onsite CO2e by an average of 20 metric tons per day. In some geographies, applying these solutions, can achieve a 70% reduction in energy costs. The additional savings come from eliminating more than 2,000 gallons (about 7,500 L) in daily diesel fuel consumption from drilling operations and additional cost reductions from less overall truck traffic on location. These together reduce the carbon footprint of operations and at the same time reduces risks associated with transportation for better site safety.
These energy transition solutions not only have economic and environmental benefits but also address operational challenges by lowering drilling pad ambient noise levels. Replacing diesel generators and portable light towers significantly reduces sound levels, maintaining an average of 75 decibels across the drilling location.
These products are engineered to be seamlessly incorporated into drilling rigs across diverse operating environments around the world without impacting performance or efficiency. This paper explores the development and implementation of rig electrification and energy-efficient lighting solutions that can reduce emissions and costs in drilling operations.
From Baseline to Breakthrough: Comprehensively Decoding Rig Power Solutions for Sustainability and Scalability
Authors: Auld S. , Wood A. , Brady J. , Kern S. 
Published: November 2024

Abstract
Assessing drilling rig power solutions in terms of technical and commercial success is vital for the oil and gas industry's sustainability and scalability. An analysis of various rig power methodologies and technologies was performed to understand their impact on Greenhouse Gas (GHG) emissions and rig power costs.
Land drilling rigs typically rely on diesel engines for power, but alternative options like natural gas engines, highline (grid) power, batteries, and blended fuel engines are also available. These alternatives need to be assessed for their effects on GHG emissions and rig power costs.
To conduct the analysis, rig power consumption profiles were compared across various methodologies and technologies to evaluate emissions. The results guide discussions with operators to determine the most suitable rig power options for their specific well programs.
Diesel engines served as the emissions analyses baseline, with assessments conducted over extended timeframes to normalize the results. Fuel consumption data was shared with engine oilfield equipment manufacturers to validate results. Alterations to the baseline, through technology and aftermarket retrofits, were explored.
Three early modifications included implementation of improved control and active alerts (~4.5% GHG reduction), the addition of a DC connected battery unit energy storage system (~20% GHG reduction), and engine modification to accept natural gas as a blended fuel (fumigated) with diesel (~50% GHG increase). Additional fuel technologies were compared, including lean-burn natural gas engine with battery (~3.3% GHG reduction) and rich-burn natural gas engine (~55% GHG increase). Grid power was analyzed similarly (~67% GHG reduction).
A second blended fuel modification (port injected) option was developed and tested, changing the technical and commercial relationship of blending diesel with natural gas (~17% GHG reduction).
Data is key to addressing the challenges of selecting the best solution for the application. Observations collected over several years reveal that different technologies yield varying GHG impacts during the well construction process that should be considered when evaluating the rig power source for future projects.
The port injected dual fuel option has undergone testing and evaluation in the first half of 2024 and is slated for broader market deployment in the latter half of 2024 and beyond. The results of this new technology will enhance rig power decisions and drive future innovations.
Roadmap to Success: How Deepwater MPD Equipment was Decommissioned, Refurbished and Installed on New Drillship in Record Time
Authors: Ulhaque M. M. , Asif M. , Baouche M. 
Published: November 2024

Managed pressure drilling technology (MPD) has been deployed in eastern mediterranean for well over a decade and a half. Initially the technology deployed was designed for use on Jack up rigs and had modifications done to allow the equipment to be deployed on floating rigs. However, as the demand for deepwater applications grew the MPD service providers worked to develop bespoke deepwater submersible systems which could integrate seamlessly with floating rigs’ riser systems. Weatherford introduced it first generation MPD riser system which was installed below the termination joint on the rig in 2014. In 2016 it was deployed for long term contract in eastern Mediterranean Sea on a 5th generation drillship. This was a new build installation on the rig and required a very detailed survey of the moon pool deck where the surface MPD equipment was going to be installed in a stacked arrangement to allow other ancillary completions equipment to be integrated as well. This work was completed in 52 weeks from when the first order for MPD equipment was placed to the stage where the equipment was installed on the rig tested, commissioned and ABS certification finalized to allow the system to commence drilling operations. The system was utilized for 3 years and towards the end of 2019 it was released due to changes in operational requirements.
In 2021 the operator returned to drilling activity in eastern mediterranean and this time the second-generation Deepwater MPD system was deployed in Q4 2021. This was considered an accelerated deployment as the Gen II MPD pkg required some modification of the existing structures which were initially installed on board in 2016. This deployment was completed in ~24 weeks representing a 58% improvement over the contractual term of 56 weeks.
Late 2022 the customer communicated their plans to upgrade from the currently deployed 5th generation floater rig and bring in a 7th generation drillship. Their plan was to perform the rig swap in late Q3 early Q4 of 2023. They intended to continue to use MPD pkg for drilling the first well with this rig. The well was classified as an exploratory well and so the stakes and requirements for MPD readiness were crucial. Their time frame was very challenging as the current rig was drilling a developmental well with MPD system online and due to nature of drilling operations it is very difficult to predict with pinpoint accuracy when the system will be released from the rig. On the other hand, the 7th generation rig was being mobilized from GOM and had an estimated sailing time of 30-40 days followed by 2 weeks of customs clearance process in Egypt and would then commence drilling the exploration well with the MPD section estimated within 4 weeks of spud.
A Novel Data-Driven Approach for Capacitance Resistance Models in Multi-Phase Flow Systems
Authors: Elfeel M. Ahmed , Garcia-Teijeiro X. , Khataniar S. , Biniwale S. 
Published: November 2024

Abstract
Capacitance Resistance Models (CRM) are increasingly recognized for their role in managing waterflooding and offering a streamlined subsurface representation for operational optimization. Since their introduction two decades ago, CRMs have evolved to address multi-phase flow and, with the integration of machine learning algorithms, have been extended to applications in gas, gas-alternating-water injection, and other enhanced oil recovery mechanisms.
In this paper, we introduce a novel data-driven formulation that reduces the number of optimization parameters by 50% compared to traditional CRM approaches. This advancement not only enhances deployment efficiency in fields with numerous wells but also significantly accelerates CRM runtime. We validated our new formulation using several reproducible subsurface numerical simulation models that have been previously employed in CRM studies. Our validation also included tests on more compressible fluid systems (such as gas injection) and scenarios with significant changes in oil-water mobility.
CRMs provide critical insights into well-to-well correlations in flooded reservoirs and are typically used for production optimization. However, this often requires the separation of production phases into water, gas, and hydrocarbon liquids, which is typically achieved using additional analytical or data-driven models in conjunction with CRM. In response, we present a novel method that integrates CRM with a pattern balancing algorithm, enabling optimization based on multiple objectives such as reservoir fill-up, sweep efficiency, and water injection effectiveness.
Our extended formulation not only improves the accuracy of CRM models—evidenced by increases in R2 values from 0.6 to 0.95 in some cases—but also provides more precise subsurface insights, reducing the risk of misinterpreting reservoir trends as false well correlations. Finally, we explore the complementary role of production data-driven models alongside more detailed numerical reservoir simulation models.