bluuebunny/crossref_metadata_2025_split huggingface dataset:
MINAT GEN Z DI YOGYAKARTA DALAM BERINFAK DAN SEDEKAH MELALUI PLATFORM CROWDFUNDING KITABISA.COM DENGAN PENDEKATAN UTAUT2
Authors: Nugroho Ellok Regita Negari , Fitri Eka Aliyanti  
Published: November 2024

Seiring perkembangan teknologi yang semakin pesat, mendorong munculnya inovasi platform crowdfunding yang memungkinkan penggalangan dana dari banyak kalangan dalam jumlah kecil melalui platform berbasis web. Inovasi platform crowdfunding dapat memberikan kemudahan dalam berinfak dan sedekah. Salah satu platform crowdfunding yang telah berkembang adalah Kitabisa.com. Penelitian ini bertujuan untuk menganalisis minat Gen Z di Yogyakarta dalam berinfak dan sedekah menggunakan platform crowdfunding Kitabisa.com dengan menerapkan pendekatan model UTAUT2. Populasi dalam penelitian ini adalah Gen Z yang berdomisili di Yogyakarta. Penentuan sampel dalam penelitian ini menggunakan teknik non-probability sampling dan metode purposive sampling. Adapun teknik penggumpulan data berupa survei menggunakan kuesioner online yang dibagikan kepada 150 responden. Serta teknik analisis data yang digunakan adalah analisis SEM-PLS. Hasil penelitian ini menunjukkan bahwa variabel Effort Expectancy (EE), Social Influence (SI), dan Habit (Hb) memiliki pengaruh yang positif terhadap Behavioral Intention (BI) penggunaan platform crowdfunding Kitabisa.com pada Gen Z di Yogyakarta. Dengan kata lain, faktor kemudahan penggunaan suatu teknologi, pengaruh sosial, serta kebiasaan sangat mempengaruhi keputusan crowdfunder dalam mengadopsi suatu tekonologi. Sementara itu, keempat variabel lainnya yaitu variabel Performance Expectancy (PE), Facilitating Conditions (FC), Hedonic Motivation (HM), dan Price Value (PV) tidak memiliki pengaruh positif terhadap Behavioral Intention (BI) penggunaan platform crowdfunding Kitabisa.com pada Gen Z di Yogyakarta.
El servicio público de abastecimiento de agua: el eterno debate sobre las formas de gestión local en el nuevo contexto de la emergencia climática
Authors: Rodríguez Beas Marina 
Published: November 2024

The work has by object a reflection on the ways of provision of the service of supplying of water in the current context of water emergency. It treats to do a balance of the two opposing trends that govern the eternal debate. To such object, in the first place, analyses the juridical frame that it can condition the election of the way of management of the service of supplying of water, in particular the regulation contained in the LRSAL on the determination of the legally established procedure for the implantation and modification of the forms of provision of the public services. Next, they expose the peculiarities of each way of management of the service from an administrative juridical perspective take some performances of diverse content that have produced in the last years in Spain. It treats, then, to establish the more deficient and problematic appearances of each way of management, take the urgent need to improve resilience and sustainability of the supply of the water, as well as the paper that corresponds him to the local Administration in the management of the drought.
A Streamlined Approach to Probabilistic Simulation and Robust Concept Optimization in a Highly Productive Carbonate Stringer Field in the Sultanate of Oman
Authors: Shukri I. , Hattali A. , Mourad A. 
Published: November 2024

Abstract
Field-A Carbonate reservoir was discovered in 2006 and has been on production since 2007. It is a light sour oil carbonate reservoir with density of 45 API, Gas-Oil-Ratio (GOR) of 270 sm3/sm3 and viscosity of 0.3 cP at initial conditions (383 bar & 79 C). Three wells currently produce dry oil under strong aquifer support. Current recovery factors stand at 18%. The surface facilities are not equipped to manage water production. The main constrain is the water handling capacity at surface where only 0.1% water cut is acceptable and with the strong aquifer present, it is crucial to manage the offtake points and the rates.
At the beginning of the study, a comprehensive analysis of all collected data over the years of Field development have been utilized to reach an enhancement understanding and characterization of the reservoir. Secondly, the study involved the construction of black oil model capturing the physics of aquifer interaction with the light oil in a good conductivity rock in order to perform assisted history matching using different geological static models and property distribution and ranges. Thirdly, a set of history matched models within the accepted tolerance was chosen to extract the P10, P50 and P90 models. Lastly, this effort supported the later building of robust optimization simulation models to evaluate the most promising recovery techniques for Field. This approach is beneficial as it covers full spread of uncertainty, assesses multiple subsurface realizations and surface concepts, generates a range of possible outcomes, quantifies risk, and enables better decision making.
This paper covers: The multi-discipline novel data analysis to characterize the reservoir and define the uncertaintiesThe utilization of multiple geological realizations and property distributions to obtain a set of assisted history matched modelsThe methodology of obtaining a P10, P50 and P90 models and their associated forecasts for further economic evaluation and concept selectionThe robust concept optimization process using artificial intelligence (AI) techniques to obtain an optimum development scenario in terms of number of wells, production rate, well type and drive mechanismThe workflow road map for maturation of the most promising option using probabilistic simulation and robust optimization
The value of streamlining the process of assessing different subsurface development realizations linked with surface concept scenarios through probabilistic method enables robust Field Development tool for teams with different experience levels. It is concluded from the conducted study work that out of the various development scenarios considered, infill drilling with a controlled rate per well is the most favorable development concept in terms of recovery and economics.
Well Clean-Up and Testing: Using Dynamic Simulations to Minimise Flaring Emissions and Optimise Well Testing
Authors: Ellepola J. H. , Scott S. E. , Kerem M. 
Published: November 2024

New production wells completed in the UK are subjected to increasingly stringent well clean-up and testing requirements by UK Regulatory Authorities. It is incumbent on UK operators to demonstrate as far as is reasonably practicable, that efforts have been made to minimize emissions during well testing operations to protect an operator's license to operate. In the past, this has involved committing to a permit with maximum flaring volumes and durations, but this case study demonstrates how dynamic modelling can be used to provide scientific evidence and credibility to well testing planning and operations to decarbonize and minimize environmental impact.
Shell P&T has developed a methodology based on dynamic multiphase thermal-hydraulic simulations to model well operations including clean-up and testing. A multiphase dynamic model was developed to: (1) Perform a quantitative determination of the expected well clean-up rates versus process conditions of the well test equipment to maintain drawdown and liquid rates to facilitate efficient unloading of completion fluid and deliver a stable well test; (2) Minimize produced O&G volumes during kickoff, while completing commissioning and clean-up objectives of a complex Open Hole Gravel Pack completion; 3. Estimate the time dependent change in pressure in the well, during clean up (optimized on min. flared volumes); 4. Ascertain and optimise well kick-off using artificial lift, including N2 loading and the corresponding well performance assessment and range of expected well rates (it was not possible to start-up the brine filled well without lift gas), 5. Perform sensitivities on clean-up and well test for low productivity and IPR scenarios, and (6) Determine requirement to displace well to a lighter fluid to facilitate more stable kick-off.
The First Application of Quantum Computing Algorithm in Streamline-Based Simulation of Water-Flooding Reservoirs
Authors: Rao Xiang 
Published: November 2024

Abstract
Though generic quantum computers are not yet available, we have access to the Noisy Intermediate-Scale Quantum (NISQ) era. The advent of variational quantum algorithms has opened doors for quantum computing in science and engineering during the NISQ era. This study integrates the quantum algorithm with classical streamline methods for efficient, high-precision simulation of two-phase flows, aiming to inform future quantum computing-based reservoir simulation technologies.
We employ the variational quantum algorithm to solve the linearized finite volume discrete pressure equations. This process involves decomposing the coefficient matrix of the linear equations using the Pauli basis and preparing the quantum state of the coefficient vector through a unitary operation. A parameterized hardware-efficient ansatz is then constructed, and the quantum circuit’s output (i.e., the cost function value) is obtained via the Hadamard Test. Classical optimizer minimizes the cost function, updating the ansatz parameters to solve the pressure equations. Streamline distribution across the computational domain and time of flight distribution along each streamline are rapidly derived, with water saturation distribution calculated using a high order weighted essentially non-oscillatory (WENO) scheme on each streamline. This results in an integrated workflow combining quantum computing, streamline tracking, and high-order numerical methods. We tested three cases, including homogeneous reservoirs, heterogeneous reservoirs, and multi-well injection and production scenarios. Xanadu’s Pennylane open-source library was used to implement the variational quantum algorithm for computing pressure distribution. The results show that this variational quantum algorithm can achieve high-precision calculation of pressure distribution within fewer optimization steps, with relative computational errors all within 1%. Based on the streamline distribution obtained from tracking, the WENO scheme on the streamlines reduces the numerical dispersion error of the calculated saturation distribution compared to the upwind finite difference scheme, thereby further improving the computational resolution of the waterflooding front.
This work pioneers a hybrid quantum-classical workflow for streamline-based reservoir simulation, showcasing its potential for accuracy, efficiency, and robustness in two-phase flow simulations across various reservoir types, paving the way for future quantum computing-based general-purpose reservoir simulators.
Successful Innovative Implementation of Look Ahead Technology Maximized Production Potential While Enhancing Drilling Efficiency and Cost Reduction Through Pilot Well Elimination
Authors: Chauhan Ramesh , Rao Chakradhar , Guru Rakesh , Al Khamisi Khalid , Mumtaz Asim , Fernandes Warren , Potshangbam Sanathoi , Ferreira Enrico , Bagga Pawandeep , Hameed Mahmoud , Vianna Armando 
Published: November 2024

Abstract
Key Performance Indicators for successfully drilling a well include improved drilling efficiency, reduced cost, and safety without compromising data requirements. These are crucial to achieving the well objectives and maximising the production potential.
This case study showcases the successful implementation of look-ahead deep resistivity while drilling technology to eliminate a planned pilot hole in a challenging and dynamic environment. Historically, a pilot hole is drilled to confirm the Gas-Oil Contact (GOC) and Oil-Water Contact (OWC). Based on the pilot hole data, a sidetrack well is drilled to land below the GOC, maintaining a standoff of approximately 5m between the landing point and the GOC. GOC and OWC levels from the pilot's data are projected laterally to be consistent during planning. However, data from nearby offset wells established that these positions along the lateral could vary, increasing the challenges and uncertainty during landing and navigation.
The look-ahead capability of the Extra Deep Azimuthal Resistivity (EDAR) tool was identified as the optimal solution as it can detect resistivity contrast deep enough to avoid penetration by the bit. To evaluate its capabilities in this environment, a feasibility study was conducted based on data from nearby offset wells and the area's geological setting. The study found promising results with EDAR inversion mapping the GOC and OWC ahead of the bit. As a result of the feasibility study, the EDAR technology was included in a triple combo BHA to enable informed and proactive geosteering decisions during the landing, and this resulted in an optimal final solution that met all drilling and landing requirements.
EDAR inversions mapped the GOC ahead of the bit, which helped to optimize and successfully land the well without a pilot hole. The OWC was consistently mapped from entry into the reservoir. Both the GOC & OWC were mapped along the length of the landing section and were found to vary in position consistent with the data from the offset wells. EDAR's look-ahead capability mitigated fluid contact uncertainties and achieved the landing objectives, marking a significant advancement in drilling efficiency and cost reduction.
Khurais Role in Development and Deployment of NM Application in Oil and Gas Industry Which will Paves the Way to the New Arena
Authors: Alazzaz H. S. , Nami A. A. , Hammraa A. M. , Altamimi M. S. , Bahamdan E. K. 
Published: November 2024

Abstract
As Khurais Producing Department (KhPD) at Saudi Aramco (SA), we've been on an exciting journey of innovation over the past years. We've undertaken a massive deployment effort to integrate new Non-Metallic (NM) piping systems into our operations - and let me tell you, it's been a game-changer for the industry.
One of our biggest successes has been the introduction of the first Sour High-Density Polyethylene (HDPE) lining technology in our crude oil flowlines. This has resulted in a staggering 90% reduction in replacement costs and extended the life of our assets. But we didn't stop there - we've also implemented a new protective system against corrosion, the rotolining of fittings, which is proving to be much more robust than traditional coating methods.
But wait, there's more! We've taken our non-metallic piping deployment efforts to the next level by installing the first-ever Thermoplastic Composite Pipe (TCP) in onshore facility for hydrocarbon applications at one of our Oil Producer facilities. This TCP technology can withstand pressures up to 5000 psi, which is far superior to the Reinforced Thermoplastic Pipes (RTP) we've used in the past. We're really excited about this field trial, as we believe it will inspire TCP manufacturers to develop even more competitive products that can push the boundaries of what's possible.
And that's not all! We've also executed a brand-new non-metallic initiative - the "ETFE Roto-Lined Non-Metallic 8" 90-degree Elbow." This elbow is made of Carbon Steel but features a non-metallic liner, which we believe is the ultimate solution to combat corrosion and erosion. This is the first implementation of its kind within our company, and we're confident it will pave the way for new and innovative applications across the board.
In summary, the Khurais Producing Department has been on a remarkable journey of innovation, and we're proud to have deployed several first-of-their-kind products and applications. From Sour HDPE lining to Thermoplastic Composite Pipes and Roto-Lined Elbows, we're constantly pushing the boundaries of what's possible in the Oil and Gas industry. Our team's dedication and passion for innovation have truly paid off, and we can't wait to see what the future holds.
A Multi Modal Geologist Copilot GeoCopilot: Generative AI with Reality Augmented Generation for Automated and Explained Lithology Interpretation While Drilling
Authors: Jacinto M. V. G. , de Oliveira L. H. L. , Rodrigues T. C. , de Medeiros G. C. , Medeiros D. R. , Silva M. A. , de Montalvão L. C. , Gonzalez M. , de Almeida R. V. 
Published: November 2024

In well drilling operations, the rapid interpretation of geological data is crucial for optimizing drilling processes, ensuring safety, and understanding the characteristics of geological formations and reservoir fluids (Blue et al., 2019). Traditionally, these analyses depend on cuttings description, a manual and non-deterministic procedure carried out by teams of geologists in the field, combined with the analysis of drilling parameters and logging-while-drilling (LWD) data when available. However, characterizing cuttings samples to describe well lithology is both time-consuming and prone to human bias at various stages, from sample preparation to the actual description. Using it poses a challenge both to the traditional method used while drilling, as well as to incorporating this kind of information into any automated or semi-automated workflow that uses Artificial Intelligence techniques.
Recent advancements in Machine Learning (ML) and Artificial Intelligence (AI) have shown promise in enhancing data reliability and real-time lithology prediction. The early explorations by Rogers et al. (1992), Benaouda et al. (1999), and Wang and Zhang (2008) laid the groundwork, utilizing well-log data to develop predictive models. As the field advanced, more refined ML models for lithofacies and permeability prediction emerged, employing techniques like artificial neural networks (ANN) and support vector machines (SVM). Researchers such as Mohamed et al. (2019) and Nanjo and Tanaka (2019, 2020) applied ML models and image analysis methods to address real-time lithology prediction during drilling operations. Recently, Khalifa et al. (2023) achieved a remarkable accuracy of 95% in identifying some lithologies with an ML-base approach, demonstrating significant advancements in real-time ML workflows for lithology prediction.
However, the new advances of AI, more specifically in the field of Generative AI (GenAI) and Large Language Models (LLMs) have not yet been explored in such applications. And although GenAI faces its own set of challenges such as data scarcity, interpretability issues, scalability, and trustworthiness, it might offer a new frontier for further enhancing lithology prediction and assist in optimizing drilling operations. Therefore, the purpose of this paper is to advance the field by validating a methodology that integrates GenAI, LLMs, with geological data for assisting in the description of cuttings samples and interpreting lithology while drilling.
Microscopic Simulation Experiment for the High-Efficiency Construction of Underground Gas Storage
Authors: Bai Lei , Zhou Wei , Li Kai , Xu Hanbing , Li Zhihong , Nie Xiaobin , Lian Liming , Yang Xiao 
Published: November 2024

Abstract
Using micro-visualization models and microfluidic technology, simulation experiments were conducted on gas injection for water displacement during the initial stage of storage formation and gas production with water encroachment and gas storage displacement of water bodies during the cyclic storage and extraction phase, in a water-invaded gas reservoir type storage facility. The stability mechanisms of the gas-liquid interface, the laws of gas-liquid seepage and storage were analyzed. This analysis explored optimized control methods for efficient operation through the entire cycle of the gas storage facility. The research shows that during the initial stage of storage construction, the gas injection rate should be regulated to fully utilize gravity, ensuring macroscopic stability and mobility of the gas-liquid interface, significantly enhancing the reach of the gas, and providing more gas storage pore space for subsequent cyclic storage and extraction phases. During the cyclic storage and extraction phase, a constant speed of gas storage and extraction results in low utilization of pore space. Gradually increasing the storage and extraction speed from "small ingestion-small ejection" to "large ingestion-large ejection" can continuously disrupt the balance of forces within the pore throats, expanding the gas storage pore spaces and flow channels, which is beneficial for capacity expansion and efficiency improvement, as well as for peak-shaving and supply stabilization.
Strategic Resilience: Re-Purposing Gas Lift Compressors for Flare Reduction in Pursuit of Carbon Neutrality
Authors: Yee Teh See , Zahari Zakiman , Bt. Azmi Fasyiha Aida , Aimran Raja Zuhaili , Raffik Raja Zainal 
Published: November 2024

Abstract
In the collective pursuit of Carbon Net Zero, Company and its industry peers have embarked on a proactive journey to curtail carbon emissions. Among these efforts, one of the East Coast offshore Sarawak fields in Malaysia faced stringent flaring constraints since 2023, mandating a reduction from 12.4 MMscfd to 7.0 MMscfd, consequently impacting oil production. To address this challenge, an interim solution has been devised, ingeniously leveraging the ongoing Gas Lift Compressor (GLC) upgrade project to mitigate production losses until the Flare Gas Recovery project is fully operational. The strategic intervention entails utilizing dormant reservoirs at the production platform for gas injection, ranging from 3.0 to 6.0 MMscfd, thus establishing a prudent gas storage mechanism poised for future monetization. To execute this strategy, the subsurface team is tasked with identifying reservoirs amenable to gas injection, while the Production Technology team meticulously assesses idle strings and generates comprehensive production profiles across varied injection rates. Simultaneously, the Facilities team conducts a rigorous evaluation of the GLC upgrades, which involve doubling the compressor capacity to meet the increased gas lift demand. This enhancement, encompassing the installation of two gas lift compressors capable of delivering 3.0 MMSCF each, up from1.5 MMSCF, is pivotal in supporting the gas injection initiative. The implementation of this strategic intervention yields immediate benefits, including the mitigation of production loss, adherence to flare limits without compromising oil production, and the strategic preservation of gas for subsequent monetization endeavors. However, it is recognized that the GLC upgrade may potentially impact the attainability of the oil profile. Moreover, the strategic deployment of this initiative necessitates prudent financial allocation, entailing additional capital expenditure to systematically debottleneck facilities in seamless support of the proposed solution. This paper provides a systematic exploration of the nuanced intricacies, formidable challenges, and adept solutions associated with targeted flaring reduction, coupled with the sophisticated repurposing of GLCs. By deftly leveraging ongoing projects and strategic initiatives, this approach not only facilitates the resumption of production in the field but also propels the industry closer to achieving ambitious Carbon Net Zero objectives.