bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pelatihan Pemanfaatan Microsoft Teams sebagai Alternatif Media Pembelajaran Daring di Universitas Sebelas Maret Surakarta
Authors: Sakroni Sakroni , Ngadimin Ngadimin , Wahyuningsih Daru 
Published: June 2023

<p>Microsoft Office lebih dikenal sebagai aplikasi desktop perkantoran. Seiring dengan perkembangan teknologi, Microsoft Office bertranformasi menjadi aplikasi yang dapat dimanfaatkan secara luas, dapat dipakai dimana saja, kapan saja, dengan media apa saja secara online. Banyak fitur-fitur baru yang dapat dimanfaatkan oleh semua kalangan termasuk dunia Pendidikan. Salah satu aplikasi yang dapat digunakan dalam dunia Pendidikan adalah Microsoft Teams. Microsoft teams dapat menjadi salah satu platform pembelajaran yang memungkinkan pendidik dan peserta didik berkolaborasi maupun berinteraksi pada saat pembelajaran daring. UNS telah melakukan kerjasama dengan Microsoft Indonesia dan sudah melakukan deploy pemanfaatan office 365. Kurangnya sosialisasi dan dukungan teknis menyebabkan pemanfaatannya belum maksimal. Untuk dapat memanfaatkan aplikasi Microsoft Teams sebagai media pembelajaran daring diperlukan pelatihan. Tujuan pelatihan adalah untuk meningkatakan kompetensi dan literasi digital pemangku pembelajaran. Pelatihan diadakan secara luring selama 3 hari berturut-turut. Sasaran peserta pelatihan adalah 30 orang dosen pengampu matakuliah. Peserta pelatihan memberikan respon yang positif terhadap kegiatan ini. Hal ini dapat dilihat dari keaktifan peserta selama pelatihan berlangsung. Mereka merasa pelatihan ini sangat berguna bagi peningkatan kompetensi dan literasi pemanfaatan teknologi digital sebagai alternatif aplikasi pembelajaran daring.</p><p><strong>Kata kunci:</strong> Microsoft Teams; Office 365; LMS.</p>
Team Approach: The Unstable Trauma Patient
Authors: Baker Hayden , Erdman Mary-Kate , Christiano Anthony , Strelzow Jason A. 
Published: June 2023

» A multidisciplinary, integrated, and synergistic team approach to the unstable polytrauma patient is critical to optimize outcomes, minimize morbidity, and reduce mortality.» The use of Advanced Trauma Life Support protocols helps standardize the assessment and avoid missing critical injuries» Effective and open dialog with consulting specialists is paramount for effective team-based care.» Orthopaedic surgeons should play an important role in the rapid assessment of potentially life-threatening and/or limb-threatening injuries including pelvic ring disruption, open fractures with substantial blood loss, and dysvascular limbs.
Distal Femur Anterior Hemiepiphysiodesis for Fixed Knee Flexion Deformity in Neuromuscular Patients
Authors: Al Badi Hamid , Lorange Justin-Pierre , Alzeedi Muadh , Marwan Yousef , Bernstein Mitchell , Hamdy Reggie C. 
Published: June 2023

Background:
In the past decade, distal femur anterior hemiepiphysiodesis for fixed knee flexion deformity has gained popularity. In this study, we aim to systematically review the literature on this technique as a treatment for fixed knee flexion deformity in patients with neuromuscular disorders.

Methods:
A systematic review was performed in the following databases: PubMed, Embase, and Medline. The inclusion criteria included anterior hemiepiphysiodesis of the distal femur for patients with neuromuscular disorders and fixed knee flexion deformities.

Results:
Our search yielded 419 titles. A total of 12 articles were qualified for final review based on the inclusion and exclusion criteria. The total number of patients was 279, with 483 knees corrected. The male to female ratio was 2.1:1, and the mean age of the patients was 11.3 ± 1.4 years (range 4-17 years). The mean preoperative flexion deformity was 23.1° ± 10.0° (range 10°-90°). The mean residual flexion deformity at the final follow-up was 8.6° ± 9.0° (range 0°-32.5°), which corresponds to a statistically significant decrease compared with the preoperative deformity (p < 0.05).

Conclusion:
Anterior hemiepiphysiodesis for fixed knee flexion deformity provides favourable outcomes with low complication rates in patients with neuromuscular disorders. Future studies should focus on comparing the long-term outcomes of the different metal implants used for these operations.

Level of Evidence:

Level III. See Instructions for Authors for a complete description of levels of evidence.
Using eCalc™ for Designing a Low Emission Reservoir Drainage Strategy for Oseberg C
Authors: Mæland Ingvild , Alaeddine Leen , Ånes Hallstein Magne , Chen Shi , Lødøen Ole Petter , Martinsen Frode 
Published: June 2023

Abstract
Oseberg is a large offshore field in North Sea with 4 main installations and several subsea developments. Production started in 1988. The field is covering the BRENT group. The study focuses on the Oseberg C platform which produces from the northern area of the Oseberg Main field. The Oseberg C involves a low-pressure production project executed in the fall of 2022. The timing of when to eventually reduce the topside separation pressure even more, and/or stop or reduce stop gas injection and instead export the produced gas via an existing multiphase pipeline to the Field center will be investigated in this study.
The main objective is to illustrate a workflow that allows revising the drainage strategy while simultaneously reducing scope 1 CO2 emissions to attain a low emissions reservoir management strategy along with minimizing the losses in reserves. Mitigating reserves losses will be studied through different sensitivities.
Several factors must be considered when studying modifications in the drainage strategy. Well delivery potential, gas export pressure to the Field center and the gas capacity at Field center are all important boundary conditions. A reservoir simulation model is used to study the reservoir impact of lowered OSC inlet pressure and effect of stopping the gas injection at different dates. A set of scenarios capturing consistently reservoir simulation and topside models are designed to assess the optimal timing of when to stop gas injection on Oseberg C. The optimal timing is evaluated by considering reservoir recovery and CO2 emissions.
Reserves evaluation is performed using a reservoir simulation model (ECLIPSE), and emission forecasts are performed using eCalc™ (Skjerve et al., 2022). eCalc™ is the name of a software tool for high-quality emission forecasting. eCalc™ allows the integration of subsurface and operational knowledge and calculates emission forecasts directly relating drainage strategy to operational strategies and process equipment. The emission sources change significantly with the drainage strategy assumptions leaving correlation models less suited. eCalc™ is using mechanistic models of the topside processes and therefore can predict the effects of large changes in the drainage strategy and topside process.
ESG, Sustainability and Decarbonization: An Analysis of Strategies and Solutions for the Energy Industry
Authors: Agbaji Armstrong Lee , Morrison Reid , Lakshmanan Sammy 
Published: June 2023

Abstract
Various studies have shown that fossil fuels are the main driver for climate change and mitigating CO₂ emissions has been a major issue for the oil and gas industry. Directly and indirectly, the industry accounts for 42 percent of global emissions and it is now being referred to as ground zero for climate change. Pressure continues to mount from both the investor community and various governments who are demanding climate action and are proposing new requirements for businesses to publish specific details of how they will adapt and achieve net-zero by 2050. Leaders across the energy industry are now addressing these issues by incorporating ESG into their business. ESG issues cut across industries and lines of service, and these issues are ever evolving. Each industry has vastly different sources of emissions, therefore their means of decarbonization differ greatly. Understanding the emissions associated with oil and gas operations is crucial to evaluating and tracking the sustainability factors impacting the industry.
This paper takes a deep dive into what sustainability and ESG looks like in oil and gas operations and addresses the key drivers of ESG in the oil industry. It details the ESG issues that are material to all sectors of the industry and provides valuable insights on how organizations can embed sustainable business practices into engineering design and business operations. It also addresses the specific challenges ESG poses to the industry, suggests a multi-pronged approach to tackle decarbonization, and looks at various opportunities that the wave of ESG activities present for the industry.
Succeeding in business is no longer just about profitability, but about how companies perform on a variety of ESG-related issues. It is now a business imperative to undergo a sustainability transformation, and oil industry operations should be designed with sustainability in mind. Sustainability and ESG should be part of the industry’s DNA and should be integrated in all its activities. ESG issues represent the language of the future and addressing it will become as significant for the oil industry as digital transformation; not only because of its broad geographical footprint, but also its operations and assets, many of which are GHG emitters.
ESG is not just a compliance exercise, it's a strategic decision. To meet the goals of the Paris Agreement, the oil industry should strive to become a net-zero GHG emitter. Without a net-zero story, it may realize that there might not be much interest in hearing the rest of its story. The net-zero equation is not yet solved, but it can be, with bold action and smart innovation. No other industry is better positioned to solve this than the oil and gas industry.
Business Model of Carbon Capture and Storage (CCS) Projects for High-CO2 Fields
Authors: Lot Hasnor , Yeow Andrew , Buang@Mahmood Anuar , Ismail Badrul Hisyam , Zainal Abidin Muhamad Adib , Wan Abdul Wahab Wan Adli 
Published: June 2023

Abstract
High-CO2 gas fields present a dilemma to Host Government wanting to both ensure security of supply and achieve net zero aspiration. While carbon capture and storage (CCS) technology holds promise of technical feasibility to unlock these fields, its commercial success ultimately hinges on the choice of an appropriate business model. This study compares the economics of the traditional business model i.e., CCS as part of the upstream petroleum operation dedicated to a Production Sharing Contract (PSC) vs. the alternative business model i.e., a regional CCS hub separately managed by a Special-Purpose Vehicle (SPV).
To maximize the return on its investment in a gas value chain, Host Government aims to minimize the upstream cost of gas (COG), which in turn comprises the technical cost, fiscal/tax charge, and cost of capital components. Thus, in this paper, the business models are compared in terms of their COG, and the reasons for the differences are further analyzed by looking at the drivers affecting the components. To illustrate the comparison numerically, synthetic technical data based on several recent CCS projects are evaluated under Malaysian petroleum fiscal arrangement and tax regime. The scope of the CCS projects contemplated in this study is restricted to managing the CO2 inherent in upstream high-CO2 gas fields.
The paper finds that the alternative business model outdoes the traditional in several ways. The economies of scale of a hub design optimize capital expenditure, while utilization by multiple users reduces hub operator’s risk, potentially lowering tariff. The SPV can better realize tax incentives and also benefit from a lower tax rate. In PSCs where cost recovery provisions prioritize operating expenditure over capital expenditure, upstream Contractors may prefer paying tariff per usage rather than building their own CCS facility up front. Access to cheaper financing from environmental, social, and governance (ESG) investors and government agencies, coupled with the perception of lower business risks, should also translate into a lower cost of capital. There are various spin-offs and qualitative benefits too. While the paper affirms the intuitive expectation that the alternative business model generally surpasses the traditional, it also cautions that the optimal choice may switch beyond certain thresholds (number of fields, distance between PSCs, volume of CO2, etc.). In addition to the between-model selection problem, the paper also discusses within-model fine tunings and optimization.
This paper lays out important caveats and considerations that might be of interest to petroleum authority and government policymakers tasked with the development of business model for upstream CCS projects.
Improved Hydraulic Fracture Characterization Using Representation Learning
Authors: Chakravarty Aditya , Misra Siddharth 
Published: June 2023

Abstract
Representation learning is a technique for transforming high-dimensional data into lower-dimensional representations that capture meaningful patterns or structures in the data. Uniform manifold approximation and projection (UMAP) enables representation learning that uses a combination of nearest neighbor search and stochastic gradient descent in the low-dimensional graph-based representation to preserve local structure and global distances present in high-dimensional data.
We introduce a new technique in representation learning, where high-dimensional data is transformed into a lower-dimensional, graph-based representation using UMAP. Our method, which combines nearest neighbor search and stochastic gradient descent, effectively captures meaningful patterns and structures in the data, preserving local and global distances. In this paper, we demonstrate our expertise by utilizing unsupervised representation learning on accelerometer and hydrophone signals recorded during a fracture propagation experiment at the Sanford Underground Research Facility in South Dakota.
Our UMAP-based representation executes a five-step process, including distance formulation, connection probability calculation, and low-dimensional projection using force-directed optimization. Our analysis shows that the short-time Fourier Transform of signals recorded by a single channel of the 3D accelerometer is the best feature extraction technique for representation learning. For the first time, we have successfully identified the distinct fracture planes corresponding to each micro-earthquake location using accelerometer and hydrophone data from an intermediate-scale hydraulic stimulation experiment. Our results from the EGS Collab project show the accuracy of this method in identifying fracture planes and hypocenter locations using signals from both accelerometers and hydrophones. Our findings demonstrate the superiority of UMAP as a powerful tool for understanding the underlying structure of seismic signals in hydraulic fracturing.
Bi-Objective Optimization of Subsurface CO2 Storage with Nonlinear Constraints Using Sequential Quadratic Programming with Stochastic Gradients
Authors: Nguyen Quang Minh , Onur Mustafa , Alpak Faruk Omer 
Published: June 2023

Abstract

Summary
This study focuses on carbon capture, utilization, and sequestration (CCUS) via the means of nonlinearly constrained production optimization workflow for a CO2-EOR process, in which both the net present value (NPV) and the net present carbon tax credits (NPCTC) are bi-objectively maximized, with the emphasis on the consideration of injection bottomhole pressure (IBHP) constraints on the injectors, in addition to field liquid production rate (FLPR) and field water production rate (FLWR), to ensure the integrity of the formation and to prevent any potential damage during life-cycle injection/production process. The main optimization framework used in this work is a lexicographic method based on line-search sequential quadratic programming (LS-SQP) coupled with stochastic simplex approximate gradients (StoSAG). We demonstrate the performance of the optimization algorithm and results in a field-scale realistic problem, simulated using a commercial compositional reservoir simulator. Results show that the workflow is capable of solving the single-objective and bi-objective optimization problems computationally efficiently and effectively, especially in handling and honoring nonlinear state constraints imposed onto the problem. Various numerical settings have been experimented with to estimate the Pareto front for the bi-objective optimization problem, showing the trade-off between the two objectives NPV and NPCTC. We also perform a single-objective optimization on the total life-cycle cash flow, which is the aggregated quantity of NPV and NPCTC, and quantify the results to further emphasize the necessity of performing bi-objective production optimization, especially when utilized in conjunction with commercial flow simulators that lack the capability of computing adjoint-based gradients.
Multi-Fold Increase in Production Through Polymer Flooding Application in Viscous Oil Active Aquifer Driven Reservoir of Mehsana Asset, India
Authors: Jain Nitesh Kumar , Chauhan Parth , Dadlani Hitisha Vinodbhai , Bathla Priyanka , Jain Palash , Tiwlekar Sanket Naresh , Ao C Moatoshi , Parmar Himmatbhai Shambhubhai , Raturi Vinay Chand , Dayal Har Sharad 
Published: June 2023

Abstract
K Sand of Field N is highly permeable and has variation in viscosity ranging from 5cP to 120cP. K sand has been producing since 1969 and has recovered about 34%. It produces with strong edge water drive mechanism. The primary recovery is about 20-22% where viscosity is 50 to 120cP, produces oil with 90% Water cut. The early rise in water cut was because of water fingers due to adverse mobility ratio. The poor areal sweep has affected the primary recovery which necessitated the application of suitable EOR. The Polymer EOR scheme was conceptualised to address adverse mobility ratio and enhance the sweep efficiency to maximize oil production. The project area was selected for polymer flood considering the moderate primary recovery due to poor areal sweep, structurally up dip area to avoid polymer dilution through aquifer, sand continuity and good reservoir facies. In the first phase, 8 inverted five spot polymer patterns were commissioned. Injection rate is 50 m3/d/well and polymer viscosity is 27cP considering the mobility ratio and high dilution effects.
The paper explains the efficient planning, monitoring activities, innovative approach to execute the scheme and mid-course correction to improve the performance of the project. The optimised project has resulted in multi-fold increase in production in challenging reservoir conditions.
The project is being monitored using pattern balancing based on the production performance monitoring, polymer concentration mapping, historical exploitation, revival of vintage wells, recompletion, and perforation optimization and Injection fluid quality control. The down dip (towards aquifer) loss of polymer is controlled by monitoring liquid rates and polymer presence in the offset wells. Also, to assist the water-cut reduction in updip wells, higher drawdown strategy is implemented for polymer-bank movement in the structural highs. Monitoring of injection fluid through down hole sampling is used to ensure desired quality of polymer. Efficient monitoring of the project has resulted in production enhancement from 100tpd to 260tpd with peak production of 300tpd from targeted area. The innovative approach is to execute the project on fast track through hired injection services. This approach has helped in early realisation of oil and generation of data for preparation of expansion of polymer scheme.
Numerical Simulation for Hydrogen Storage and Bio-Methanation
Authors: MousaviMirkalaei Seyed Mousa , Zarei Faraj 
Published: June 2023

Abstract
The potential applications of hydrogen as an energy vector as a part of the solution to decarbonize emissions from use of natural gas and transportation is the subject of much research. Hydrogen storage in the geological subsurface helps to mitigate the effects of fluctuating energy production from renewable energy sources. Nevertheless, there is little comprehensive work on full scale simulation of all the processes associated with the injection, storage and re-producing of hydrogen.
Physical phenomena involved in this process include mixing of hydrogen with native components in the reservoir and potentially cushion gas, ga, relative permeability hysteresis, solubility of various gases into the aqueous phase; effect of hydrogen impurity (e.g., CO2, H2S, CH4) and bio-methanation in the presence bacteria. Numerical simulation can be used for dynamic numerical modelling of the storage when all these complex processes are in action.
Solubility of hydrogen can be modelled using a solubility table, Henry's correlation, or K-values table. The effect of other gases on the geochemistry of the rock and fluid can be studied in detail using chemical and geochemical reaction concepts. The activity of bacteria in an underground hydrogen storage field may result in synthetic methane production. Such reactions can be modelled based on bacterial activity levels using Arrhenius type reactions. The level of biomass activity depends on salinity, temperature and bacterial types and availability of nutrients.
A sub-sector from a North Sea reservoir is used to simulate these processes described and predictions of individual injection/production at various cycles are created. Issues regarding improved monitoring and design of laboratory experiments for future field operations are highlighted. This study shows how simulation can be instrumental in understanding and designing underground hydrogen storage projects, providing predictions of storage volumes, produced gas quality and quantity under various scenarios. The paper also describes the reaction parameters, upscaling, and tuning techniques required for simulation at full field scale.
Analytical Modeling of How Capillary End Effects Impact Time Scale and Transient Data During Steady State Relative Permeability Measurements
Authors: Andersen Pål Østebø 
Published: June 2023

Abstract
The role of capillary end effects on steady state relative permeability experiments is investigated focusing on transient measurements. Analytical solutions are derived for saturation distributions, production, pressure drop and time scales for two important cases: (1) When capillary forces are negligible, Buckley-Leverett principles yield the impact of changing injected flow fraction F or total rate Q. (2) When capillary end effects are significant, but the end effect profile is not reaching the inlet we explore increasing Q. The latter is the main novel contribution.
The steady state saturation profile is only compressed by higher Q at fixed F. This is assumed to hold also transiently to facilitate analytical solutions. The outlet flux follows from the changes in outlet saturation gradient with time, whereby mass balance results in the requested solutions.
In absence of end effects, it takes finite time to reach steady state when F or Q is changed (except for single phase injection). Capillary end effects cause the needed time to be infinite since the solution at late time is exponential. Practically most is produced sooner and a time scale follows from the analytical solutions to reach a specified fraction of production. The injected pore volumes (time) as function of average saturation has a linear term and a logarithmic term. If high Q is applied or it is early time, production is linear with time. The onset of the exponential regime depends on the conditions. Pressure drop increases instantly when Q is increased, but declines afterwards with time (characteristic of end effects) since the end effect is compressed reducing flow resistance. The evolution in pressure drop follows exactly the same profile shape as average saturation. This is the first analytical solution demonstrating how production and pressure drop evolves in response to rate during relative permeability experiments in presence of end effects. Preliminary investigations are presented in this conference paper while more detailed investigations of the model and more theoretical results will be presented in an upcoming journal paper.