Developments In Field Research Articles

Exploiting Metal-Organic Frameworks for Vinylidene Fluoride Adsorption: From Force Field Development, Computational Screening to Machine Learning.

Metal-organic frameworks (MOFs) represent a distinctive class of nanoporous materials with considerable potential across a wide range of applications. Recently, a handful of MOFs has been explored for the storage of environmentally hazardous fluorinated gases (Keasler et al. Science 2023, 381, 1455), yet the potential of over 100,000 MOFs for this specific application has not been thoroughly investigated, particularly due to the absence of an established force field. In this study, we develop an accurate force field for nonaversive hydrofluorocarbon vinylidene fluoride (VDF) and conduct high-throughput computational screening to identify top-performing MOFs with high VDF adsorption capacities. Quantitative structure-property relationships are analyzed via machine learning models on the combinations of geometric, chemical, and topological features, followed by feature importance analysis to probe the effects of these features on VDF adsorption. Finally, from detailed structural analysis via radial distribution functions and spatial densities, we elucidate the significance of different interaction modes between VDF and metal nodes in top-performing MOFs. By synergizing force-field development, computational screening, and machine learning, our findings provide microscopic insights into VDF adsorption in MOFs that will advance the development of new nanoporous materials for high-performance VDF storage or capture.

Technology Focus: Field Development (September 2024)

As the industry progresses, the need for further collaboration is imperative on all fronts. Academic expertise, operational experience, and knowledge gathered through trial-and-error analysis must be meshed in order to achieve the optimizations that are increasingly needed with the depletions we experience in various fields globally. The challenges that we face as an industry will require development of new technologies, whether workflows or other innovative solutions, that we never thought possible because of the need for supporting infrastructure to address them. The challenges also require more closely coupled connections between stakeholders—the innovators in academia and industry and the doers who close the gap of technology deployment. Deployment requires taking the ideas and tried and tested opportunities to fruition, where the knowledge is shared and highlighted for our community at large. The three papers synopsized in this feature include a discussion of augmented depletion development, a technique in which openhole wells are drilled within the fractured network of a pad; an approach to well-path generation that relies on the collection of experienced-based constraints from each discipline to generate possible alternatives to the well path; and a multidisciplinary approach used to develop a presalt field offshore Brazil. The hope is that the technical articles in this feature can demonstrate to the reader the scope of collaboration and the effect of technical knowledge sharing that our industry currently enjoys—and requires. I hope they drive more questions and provoke further and deeper understanding of the content to the benefit of all. More importantly, I hope they highlight the complexity that is involved in addressing the industry challenges in field development and project management.

Introduction to the design and verification of the cross-arm T pole for the 110kV transmission line and the single-loop T pole

Abstract With the development of various fields in China, users have higher and higher requirements for power reliability. In order to improve the reliability of 110 kV transmission lines, a new type of cross-arm T-connection technology came into being. This paper introduces the characteristics of the original T-connection technology and the new T-connection mode of the new T-connection technology, as well as the design verification of the new single-loop T-connection tower, and draws the conclusion that the new T-connection tower model is reasonable and the force of the rod can be effectively configured.

Enriching Anticancer Drug Pipeline with Potential Inhibitors of Cyclin-Dependent Kinase-8 Identified from Natural Products.

Cyclin-dependent kinase 8 (CDK8) is highly expressed in various cancers and common complex human diseases, and an important therapeutic target for drug discovery and development. The CDK8 inhibitors are actively sought after, especially among natural products. We performed a virtual screening using the ZINC library comprising approximately 90,000 natural compounds. We applied Lipinski's rule of five, absorption, distribution, metabolism, excretion, and toxicity properties, and pan-assay interference compounds filter to eliminate promiscuous binders. Subsequently, the filtered compounds underwent molecular docking to predict their binding affinity and interactions with the CDK8 protein. Interaction analysis were carried out to elucidate the interaction mechanism of the screened hits with binding pockets of the CDK8. The ZINC02152165, ZINC04236005, and ZINC02134595 were selected with appreciable specificity and affinity with CDK8. An all-atom molecular dynamic (MD) simulation followed by essential dynamics was performed for 200 ns. Taken together, the results suggest that ZINC02152165, ZINC04236005, and ZINC02134595 can be harnessed as potential leads in therapeutic development. Moreover, the binding of the molecules brings change in protein conformation in a way that blocks the ATP-binding site of the protein, obstructing its kinase activity. These new findings from natural products offer insights into the molecular mechanisms underlying CDK8 inhibition. CDK8 was previously associated with behavioral and neurological diseases such as autism spectrum disorder, and cancers, for example, colorectal, prostate, breast, and acute myeloid leukemia. Hence, we call for further research and experimental validation, and with an eye to inform future clinical drug discovery and development in these therapeutic fields.

Integration and Application of Artificial Intelligence in Smart IoT and Electrical Automation

This paper explores the integrated application of artificial intelligence (AI) in smart IoT and electrical automation. It discusses the background and significance of the integration, provides a detailed analysis of the application of AI algorithms in intelligent control and optimization, and examines their role in fault diagnosis and predictive maintenance. The paper also dissects the technological innovation, industrial development, and social development opportunities brought by the integration, while highlighting the challenges of data quality and security, algorithm complexity, talent shortage, and social ethics. Finally, it concludes that we should actively address these challenges to fully leverage the advantages of integration to promote development in various fields.

Exploring the Intersection of E-commerce and Healthcare: A Visual Analysis of Research Trends.

The role of e-commercein healthcare is one of the key research areas emerging from the broader digital transformation of health services and consumer interactions. This study presents the bibliometric analysis of literature on e-commerce in healthcare based on publications from1993 to 2024 in Scopus. In particular, this analysis shows trends in the publication record that have been constantly growing, with prominent increases during the COVID-19 pandemic, now hardwiring the fact that digital technologies are key in promoting global health. The study surveys the thematic evolution of key technologies such as artificial intelligence (AI), which is transforming predictive healthcare analytics; blockchain, which is enhancing security in health data transactions; and telemedicine, which is revolutionizing remote patient care, alongside other emerging technologies that are reshaping global healthcare systems. The research also showcases global collaboration patterns, underlining the international dimensions of scholarly contributions to the area under review. These insights provide a foundation for understanding the current state of e-commerce in healthcare and suggest future directions for research and policy development in this fast-evolving field.

Evolution of Medical and Surgical Management of Carotid Disease from Carotid Endarterectomy to Transfemoral Carotid Stenting to TCAR

Patients with carotid stenosis can be broadly classified into two categories: symptomatic and asymptomatic. While there is little disagreement about surgical management of symptomatic carotid stenosis, the optimal management strategy for the patients with asymptomatic carotid disease has undergone significant evolution over past five decades. With increasing focus on role of plaque morphology on the etiology of symptoms, there has been an increased focus on optimizing the medical management targeted at plaque stabilization, especially for the patients with asymptomatic carotid disease, while reserving the most aggressive surgical treatment options for the patients with symptomatic carotid stenosis. This review summarizes the scientific evidence based on multiple large clinical studies showing how the modern-day management of carotid stenosis has evolved. Multiple, large randomized clinical trials have established carotid endarterectomy (CEA) as the treatment of choice for symptomatic patients with symptomatic, >50% stenosis of carotid artery or those who have asymptomatic high grade carotid stenosis. With the advancements in endovascular techniques, the technique of Trans Femoral Carotid Artery Stenting (TF-CAS) was popularized, but after multiple, large randomized controlled trials demonstrated superiority of CEA, the indications for TF-CAS as the initial operation of choice for carotid disease for all patients have been reduced. In the past five years, the introduction of the newer technique of Trans Carotid Artery Revascularization (TCAR) has shown promising results with significant reduction in the incidence of perioperative complications as compared to CEA and TF-CAS, however, there have been no randomized controlled trials comparing TCAR to either CEA or TF-CAS. Moreover, with the developments in the medical field with introduction of several new medications which have been demonstrated to successfully change the plaque morphology, there has been a renewed interest in exploring if the indications for surgical management for the asymptomatic carotid disease should be revisited.

Evaluation of AGeX3 structured perovskite solar cells based on density functional theory

Abstract Density functional theory (DFT), as a theory to explore the electron microscopic structure of materials, guides and promotes the rapid development of the perovskite field. In the context of the global energy revolution, “green”, “safe”, and “sustainable” have become the keywords in the field of perovskite research. Because of its abundant reserves on the earth, less harm to the environment and human health, strong stability, and other advantages, germanium has been widely concerned in the field of perovskite solar cells (PSCs). In this study, the differential charge densities, the total densities of states (TDOS), the partial densities of states (PDOS), and the thermodynamic properties of four AGeX3 germanium-based perovskite materials are calculated by using Materials Studio (MS). It is found that Ge atomic orbital electrons play a crucial role in the absorption of photon energy and the generation of photocurrent. The PSCs of the AGeX3 structure will perform better. This study contributes to the realization of efficient germanium-based PSCs in experiments, provides a broad prospect for researchers in this field, and plays a vital role in the future research of germanium-based perovskite.

Augmented Depletion Development Technology Assessed Across US Shale Plays

_ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 217792, “Assessment of Augmented Depletion Development Technology Across US Shale Plays,” by Ahmed Merzoug, SPE, Texas A&M University, and Vibhas J. Pandey, SPE, ConocoPhillips. The paper has not been peer reviewed. _ The concept of augmented depletion development (ADD) was introduced to the industry through a pilot project conducted in the Bakken play in the US. These wells are openhole wells drilled within the fractured network of a pad. They are not fracture stimulated deliberately but do produce and contribute to the overall production of the lease. In this study, numerical modeling is used to understand the potential performance of these wells in several plays across the US. The learnings from this study can be used as a benchmark for operators that are planning on implementing such wells in their field development programs. Theoretical Basis of Study The concept of ADD can be modeled using a similar approach to the analytical solutions developed for flow into a multistage fractured horizontal well. In these wells, several regimes can be identified, such as transient linear flow and boundary-dominated flow. In previous work in the literature that proposed a method for analyzing production data of linear flow of fractured gas wells, fractures were assumed to have infinite dimensionless conductivity. Those researchers proposed a solution for a constant bottomhole-pressure liquid flow that is described in the present complete paper by a series of equations. For the case used by the present authors, a well spacing of 300 ft is assumed, implying that the perpendicular distance from the wellbore to a corresponding boundary is 150 ft, which is half the spacing between the fractured well and the ADD well (assuming each well drains half the fracture length). To elaborate further for better understanding of production, a plot of product of cumulative dimensionless rate and formation permeability (as a proxy for cumulative rate) while assuming all other properties behave the same shows that, with higher permeability, the recovery potential not only increases but also appears to accelerate. This supports the concept that, during the time of production of ADD wells, it is preferable to have higher permeabilities that can support faster production in zones that the primary wells may not drain effectively. The results of the analytical equation are for only one fracture but can be readily extended to multifractured horizontal wells using superposition methods. Methodology This study uses physics-based numerical modeling to simulate the performance of ADD wells in different plays. The numerical code simulates wellbore flow, hydraulic fracturing, geomechanics, and reservoir flow, all in the same package. The fracture and reservoir mesh are independent. The flow between the matrix and the reservoir is calculated using the 1D submesh approximation to reduce the computation expenses with higher accuracy. The hydraulic fracturing propagation algorithm uses a tip-tracking algorithm to allow the use of larger grid size without compromising accuracy in layered formations. The fracture conductivity is calculated with stress changes. The conductivity profile changes from a propped fracture into an unpropped fracture. The unpropped fracture conductivity is an underlying assumption used in this study. The collision between fractures initiated from different wells also is an assumption in this study.

Exploration of Ferns in Indrokilo Botanical Garden, Boyolali for the Development of Interactive Multimedia for High School Biology Learning

In today's digital era, conventional learning media has begun to be abandoned. Currently, many modern learning media have been developed such as interactive multimedia, video media, and others so that the learning process becomes fun and students are actively involved in the learning process. The purpose of this study is; to explore the diversity of ferns in the Indrokilo Boyolali Botanical Garden and develop interactive biology multimedia materials for high school. The methods used are field exploration, taxonomic identification, and development of interactive multimedia. The research location is at the Indrokilo Boyolali Botanical Garden and the research was conducted for 3 months starting from December 2022 to February 2023. The results of the research and identification at the Indrokilo Botanical Garden found 31 types of ferns from 14 families and 3 classes. The interactive multimedia developed combines text, images, animations, and interactive videos. This multimedia has been evaluated and received positive validation results, so it can be used as interactive media in high school. Interactive media with other plant samples still needs to be developed because the Indrakilo Botanical Garden is a source of plant diversity

Ichor: A Python library for computational chemistry data management and machine learning force field development.

We present ichor, an open-source Python library that simplifies data management in computational chemistry and streamlines machine learning force field development. Ichor implements many easily extensible file management tools, in addition to a lazy file reading system, allowing efficient management of hundreds of thousands of computational chemistry files. Data from calculations can be readily stored into databases for easy sharing and post-processing. Raw data can be directly processed by ichor to create machine learning-ready datasets. In addition to powerful data-related capabilities, ichor provides interfaces to popular workload management software employed by High Performance Computing clusters, making for effortless submission of thousands of separate calculations with only a single line of Python code. Furthermore, a simple-to-use command line interface has been implemented through a series of menu systems to further increase accessibility and efficiency of common important ichor tasks. Finally, ichor implements general tools for visualization and analysis of datasets and tools for measuring machine-learning model quality both on test set data and in simulations. With the current functionalities, ichor can serve as an end-to-end data procurement, data management, and analysis solution for machine-learning force-field development.

A New Correlation for Estimating Static Elastic Properties of Sandstone Formations: Case Study from Rumaila Oilfield

Evaluating the elastic characteristics of reservoir's rocks is crucial for the oil and gas sector to reduce risks throughout drilling and production operations. Elastic parameters are essential for prediction of wellbore stability, estimation of in-situ stresses, optimization of drilling performance and design of hydraulic fracturing. Depending on the type of formation, Elastic parameter is varied dramatically. Thus, a precise way to identify these characteristics is needed. Inaccurate assessment of elastic characteristics can result in excessive expenditure and inappropriate field development plans. Static elastic modulus (Est) can be determined through laboratory testing. Although laboratory measurement is the most precise approach to determine the elastic modulus, it requires a continuous core sample to acquire a complete profile of the formation's elastic characteristics. However, just a portion of the well is typically sampled for cores. On the other hand, wireline log data is applied to determine the dynamic modulus (Edyn), allowing for continuous assessment of elastic properties. Numerous characteristics of the rock, including consolidation, pore pressure and lithology affect the dynamic modulus. Thus, it needs to be converted to Static elastic modulus by empirical formulae. Several empirical equations have been proposed to convert dynamic Young's modulus to static Elastic modulus. Nevertheless, the validity of these relationships is restricted and exclusive to certain areas. This research seeks to establish a relationship between Dynamic modulus and static Elastic modulus for sandstone formation of Rumaila oil field. The suggested correlation provides accurate predictions of the static elastic modulus for the complete sandstone segment. The newly created correlation performed better than the previous correlations in predicting static elastic modulus with average absolute error of 8.69 %, and correlation coefficient of 0.9848. The newly established empirical correlation can assist geo-mechanical engineers in estimating continuous profile of the sandstone formation's static modulus.

Frequency-domain axisymmetric and thermomechanical viscoelastic analysis of thermoplastic composite pipe

ABSTRACT Thermoplastic composite pipe (TCP), composed of polymers and composite laminates, shows significant potential for deep-water offshore oil field development due to its lightweight and high strength. However, current mechanical studies primarily focus on the elastic domain, ignoring the critical viscoelasticity of non-metallic materials. To solve this, we introduce a comprehensive theoretical model that incorporates viscoelastic properties under both axisymmetric and thermal loads, considering radial convective thermal gradients and axial heat conduction. This model accurately predicts TCP's mechanical behavior by using stiffness coefficients, differential geometry, and radial-axial temperature transfer curves. By applying the principle of elastic-viscoelastic correspondence, we obtain viscoelastic solutions in the frequency domain, showing strong agreement with Finite Element (FE) models particularly under cyclic loading. Viscoelasticity introduces larger equivalent axial stiffness and viscoelastic damping within complex structures, which become more obvious with temperature fluctuations.

Exploring the evolution of ecocriticism: A bibliometric study and literature review

The study conducts a comprehensive bibliometric analysis to delve into the evolution of ecocriticism, a critical approach that examines the intricate relationship between literature and the environment. Utilizing the extensive databases of Scopus and Web of Science, the research identifies key themes, influential authors, and the developmental trajectory of ecocriticism over a significant 29-year period, spanning from 1994 to 2023. This in-depth analysis reveals the field's inherently interdisciplinary nature, its progressive expansion into various cultural expressions, and its increasingly pivotal role in understanding the multifaceted impact of human activity on the environment. By highlighting the substantial potential of ecocriticism, the study not only enhances our understanding of complex environmental issues but also advocates for and promotes ecological responsibility. The bibliometric synthesis encompassed a substantial corpus of 1,615 documents. These documents were meticulously analyzed using R Studio software, which enabled the researcher to employ a range of analytical techniques, including descriptive statistics, thematic analysis, and sophisticated visualization methods. These techniques were instrumental in uncovering the underlying trends and patterns in ecocriticism research, providing valuable insights into the field's development and its current state.This study's findings serve as a roadmap for future research in this dynamic and ever-evolving field. They highlight potential avenues for exploration and emphasize the critical questions that remain to be addressed. The insights provided by this comprehensive analysis underscore the importance of ecocriticism in fostering a deeper understanding of environmental issues through literature and promoting a more ecologically responsible world. As ecocriticism continues to evolve, this study sets the stage for ongoing scholarly exploration and interdisciplinary engagement with environmental themes in literature.

Evaluation of Top Journals and Authors in Behavioral Economics: A Bibliometric Approach

Behavioral economics has become an essential subfield within economics, integrating psychological insights to better understand decision-making processes. This study conducts a comprehensive bibliometric analysis to evaluate the evolution of behavioral economics, identify key research themes, and map the contributions of influential authors. Using data sourced from the Google Scholar database, the study analyzes publication trends, co-authorship networks, and the temporal development of research areas. The findings reveal that core concepts such as behavioral finance, public policy, and experimental economics continue to dominate the field, while emerging areas like consumer behavior and insurance indicate new research directions. The co-authorship analysis highlights the importance of collaboration among scholars in shaping the field's development. These insights provide valuable implications for researchers, educators, policymakers, and funding bodies in guiding future research, curriculum development, and resource allocation. This study contributes to a deeper understanding of the intellectual structure and trajectory of behavioral economics.

XORAZMDA KOREYS DIASPORASI: TARIX VA BUGUN

The appearance of the Korean diaspora in Uzbekistan is connected with the deportation in 1937. But even before that, Koreans were part of the national population. Initially, they contributed to the agricultural sector, but since the 1960s, they have been invisible in many fields. The article provides information about the history of their migration to Khorezm region, their adaptation, and the process of establishing their national centers. Analysis and synthesis, systematic and comparative analysis methods were used in writing the article. The role of the Korean diaspora in the history of Khorezm, its share in the population (in the section of cities and districts) and its contribution to the development of various fields were described.

A Full-Stage Productivity Equation for Constant-Volume Gas Reservoirs and Its Application

Gas well production involves various stages, including stable, variable, and declining production. However, existing production-capacity equations typically apply only to the stable production stage, limiting their effectiveness in evaluating gas well productivity across all stages. To address this, the material balance equation and Darcy’s equation were employed to account for changes in average formation pressure due to pressure drop funnels. The concept of a pressure-conversion skin factor was introduced, and its approximation was developed, leading to the establishment and solution of a full-stage productivity equation. Numerical simulations were then conducted to verify the accuracy and applicability of this equation. The findings are as follows: ① The full-stage productivity equation remains effective even when production rates and pressure are not constant, with the only potential source of inaccuracy being the approximative solution for the pressure conversion-skin factor. ② Numerical simulations demonstrated that the approximate solution closely matched the numerical simulation results for average formation pressure across various production stages and fundamental parameters, showing a consistent trend and high precision. The approximate and independent approximation solutions for absolute open-flow capacity were nearly identical, indicating the full-stage productivity equation’s applicability throughout the production of gas wells. ③ Application results revealed that the full-stage productivity equation offers superior accuracy compared to the modified isochronous well test. ④ The approximate solution generally provides slightly higher accuracy, and the independent approximate solution effectively eliminates the influence of gas leakage radius. Therefore, the use of the approximate solution is recommended to calculate the average formation pressure and the independent approximate solution to calculate the absolute open-flow capacity. The full-stage productivity equation developed in this study is not constrained by the production system, making it suitable for productivity evaluation across all stages of gas well production. This has significant implications for the effective development of gas fields.

Bed, ridge and planting configurations influence crop performance in field-transplanted hybrid potato crops

Current cultivation practices for field transplanted potato crops grown from nursery-raised hybrid potato seedlings are mostly borrowed from the tuber-based conventional system. Most studies on field performance of field transplanted seedling crops have largely reported the use of ridged rows and in exceptional cases, the use of beds. It is therefore critical to assess the feasibility of the use of alternative ridge or bed systems for cultivation of field-transplanted nursery-raised potato seedlings considering the differences in physiological behaviour of crops grown from different starting materials. This study assessed the effects of six systems which included bed and ridge systems of different dimensions and planting configurations for field transplanted seedling crops. Field crop establishment, canopy growth and development as well as yield and yield components were assessed. In general, systems that boasted high plant densities resulted in faster canopy development and higher number of tubers and tuber yield. Bed systems (raised and flat beds; 8.0 plants m−2) therefore gave the highest numbers of tubers and tuber yield across all treatments. These systems also produced the most tubers in all tuber size classes resulting in the highest yields in all classes. Standard ridge systems (full- and half ridges; 0.75 m row distance), had the lowest plant populations (5.3 plants m−2) which resulted almost always in fewer tubers and lower yield. Other ridge systems (0.9-m and 0.5-m ridge systems), although having higher plant densities than the standard ridge systems (8.9 and 8.0 plants m−2, respectively) still performed poorer than the bed systems. The small and compact ridges in the 0.5-m ridge system and the compact arrangement of plants in the 0.9-m ridge system caused these effects. Conclusively, based on this study, productivity in field transplanting systems is highly influenced by plant density. Further, cultivation systems boasting higher planting densities should be recommended when the goal for production is to produce large quantities of seed tubers (> 35; ≤ 50 mm).

Enhancement of mass transfer through under-rib convection in polymer electrolyte fuel cell with dimensionless moduli analysis

The significance of under-rib convection in the flow field development of polymer electrolyte fuel cells (PEFCs) is increasingly recognized. This study quantitatively evaluates the interplay between mass transfer and reaction processes in adjacent channels, affected by under-rib convection. A comprehensive analysis identifies that oxygen mole fraction and current density profiles in the channel-rib direction are governed by five dimensionless moduli. The effectiveness factor, defined as the ratio of the integral average under-rib current density to that without mass transfer resistance, elucidates the potential for current density enhancement due to under-rib convection. Experimental results demonstrate a significant increase in the under-rib current density from 0.15 to 0.32 A cm⁻2 as the pressure difference between adjacent channels rises from 0 to 929 Pa at 0.60 V and 0.52 relative humidity. This corresponds to an increase in the effectiveness factor from 0.37 to 0.77 and a Péclet number increase from 0 to 34.8. Model predictions indicate that the maximum net power density is achieved at a Péclet number of 60, balancing under-rib convection benefits and pumping pressure. Validated by experimental results, the model aids in reaction kinetics analysis and polarization prediction, offering significant insights and practical guidelines for electrochemical reactor optimization.

Application Progress of Multi-Functional Polymer Composite Nanofibers Based on Electrospinning: A Brief Review.

Nanomaterials are known as the most promising materials of the 21st century, among which nanofibers have become a hot research and development topic in academia and industry due to their high aspect ratio, high specific surface area, high molecular orientation, high crystallinity, excellent mechanical properties, and many other advantages. Electrospinning is the most important preparation method for nanofibers and their thin membranes due to its controllability, versatility, low cost, and simplicity. Adding nanofillers such as ceramics, metals, and carbon materials to the electrospinning polymer solutions to prepare composites can further improve the mechanical strength and multi-functionality of nanofibers and their thin membranes and also provide possibilities for their widespread applications. Based on the rapid development in the field of polymer composite nanofibers, this review focuses on polyurethane (PU)-based composite nanofibers as the main representative and reviews their latest practical applications in many fields such as sound-absorbing materials, biomedical materials (including tissue engineering implants, drug delivery systems, wound dressings and other anti-bacterial materials, health materials, etc.), wearable sensing devices and energy harvesters, adsorbent materials, electromagnetic shielding materials, and reinforcement materials. Finally, a summary of their performance-application relationship and prospects for further development are given. This review is expected to provide some practical experience and theoretical guidance for further developments in related fields.