bluuebunny/crossref_metadata_2025_split huggingface dataset:
Revolutionizing Annulus Pressure Monitoring for Enhanced Safety and Efficiency in E&P Industry
Authors: Al Hinaai K. , Batrani S. H. , Al Saidi M. , Al Tobi A. 
Published: November 2023

Abstract
Manual annulus pressure monitoring (APM) has long been recognized as a high-risk activity, exposing personnel on-site to considerable dangers. While APM remains crucial for detecting sub-surface failures in wells, it is imperative to explore alternative methods that mitigate associated risks. This paper delves into the challenges of traditional APM and presents an advanced solution that addresses these concerns.
Petroleum Development Oman LLC (PDO) has introduced a systematic monitoring approach for APM across various well types. PDO has recently incorporated state-of-the-art technology, enabling real-time APM monitoring in specific wells. This technology allows direct visualization of pressure data from the wellsite, improving safety measures and data availability. Initially targeting high-risk wells with elevated pressure levels, advanced APM technology minimizes associated HSE concerns through frequent monitoring. By adopting this technology, PDO prioritizes on-site personnel safety and reduces the necessity for human interventions. Remote monitoring has further decreased the need for intervention, leading to enhanced HSE outcomes.
The technology employed by PDO enables real-time acquisition of APM data, leading to everyday readings and a comprehensive dataset. Despite the accelerated data acquisition rate, the quality of the collected data remains uncompromised. This has instilled confidence in PDO's ability to perform accurate risk assessments for each well, fostering a better understanding of their conditions and potential incidents. Apart from the evident advantages in HSE, the implementation of advanced APM technology has yielded substantial operational and cost benefits for PDO. By eliminating the need for frequent manual checks, the associated costs of deploying operators for APM have been significantly reduced. This streamlined approach allows PDO to confidently manage well conditions, promptly mitigating any probable incidents.
The introduction of advanced APM technology has revolutionized annulus pressure monitoring in petroleum development. Through real-time monitoring and data visualization, PDO has ensured enhanced safety measures, improved risk assessment capabilities, and optimized operational efficiency. This groundbreaking solution has transformed traditional APM practices, providing a pathway to a safer and more cost-effective future for the industry.
Advancements in Applications of Machine Learning for Formation Damage Predictions
Authors: Abdulmutalibov T. E. , Shmoncheva Y. Y. , Jabbarova G. V. 
Published: November 2023

Abstract
Reservoir damage is a critical a major concern within the oil and gas sector that has the potential to have a significant impact reduce reservoir productivity. Traditional methods of repairing formation damage are frequently requiring a substantial amount of manual effort and consuming a considerable amount of time. This study delves into the utilization of machine learning methods as a promising solution for predicting, mitigating, and managing reservoir damage. The study begins with a discussion of the various elements that lead to the occurrence of formation damage, including rock-fluid interactions, drilling operations, and production processes. It then highlights the limitations of traditional methods and emphasizes the need for data-driven approaches. Machine learning models such as support vector machines, regression analysis, and neural networks are introduced as tools for analyzing large data sets derived from reservoir modeling, wellbore data, and production history. These models identify key parameters and patterns associated with formation damage, which helps predict potential damage. Additionally, this research paper investigates the application of machine learning for optimizing drilling and completion strategies with the aim of reducing the likelihood of formation damage. It addresses the incorporation of real-time data monitoring and predictive analytics to enhance reservoir management methodologies.
The paper presents case studies and practical implementations of machine learning aimed at mitigating formation damage. These examples illustrate the potential for enhancing reservoir performance, cutting operational expenses, and boosting hydrocarbon production. It also outlines challenges and future directions for research in this area, highlighting the importance of continued innovation in machine learning and data mining methods to promote the sustainable growth of the oil and gas sector.
In conclusion, the application of machine learning for formation damage management represents a transformative approach to address a critical challenge in the oil and gas sector. This research contributes to the development of knowledge and practical implementation of machine learning methods to optimize reservoir performance while minimizing the effects of reservoir damage.
Improved Geobody Characterization in the Supergiant Kashagan Carbonate Reservoir Through the Use of Diffraction Imaging
Authors: Yerzhanov B. , Schreuder S. , Haiyan Z. , Mingsheng L. , Hechen H. , Chengzhen D. 
Published: November 2023

Abstract
Kashagan is a Devonian-Carboniferous age isolated carbonate buildup located in the Pre-Caspian Basin of Kazakhstan. Geomorphologically the field is divided into two regions: platform and rim. The platform is characterized by grainstones with good matrix porosity and wells in this location tend to be good producers. In contrast, the rim consists mainly of boundstones with very poor matrix porosities and wells drilled in these regions target non-matrix features, such as karsts and fractures.
Identification of these non-matrix features, collectively known as geobodies, play an important role in the in-place resource volumes, permeability architecture, and overall reservoir performance of the supergiant offshore Kashagan oil field. Many of the rim wells that successfully target a geobody result in the highest production rates within the entire field. Thus, the accurate and precise imaging of geobodies has always been essential task for the operator of the field.
Many different seismic attributes and processing techniques have been attempted in order to aid in the identification of geobodies. This paper discusses the use of diffraction imaging and the analysis of the resulting data volumes to improve the imaging and confidence in the location of non-matrix features within the Kashagan carbonate reservoir.
Application of Oil Fingerprinting and Biomarker Analysis for Reservoir Compartmentalization Studies and Genetic Typing of Oils from North Ustuyrt Oil and Gas Region
Authors: Seitkhaziyev Y. Sh. , Sarsenbekov N. D. , Uteyev R. N. 
Published: November 2023

The North Ustyurt Oil and Gas Region (OGR) in terms of territory is located within the borders of two countries. The majority of it is situated within the territory of Western Kazakhstan, while a smaller part (to the east) is in Western Uzbekistan. Geographically, the North Ustyurt OGR is bounded to the north by the Caspian Lowland, to the east by the Aral Sea, and to the west by the North-Buzashin Oil and Gas Zone. From a tectonic perspective, its northern-northwestern boundary is marked by the North Ustyurt fault system, separating the North Ustyurt from the Caspian Depression with Upper Paleozoic complexes. The southern-southwestern boundary is formed by the Central Ustyurt dislocations and the Tokubay-Tuakyr thrust-and-fold system, while the eastern boundary is defined by the Aral-Kyzylkum uplift zone.
In comparison to neighboring oil and gas regions, the hydrocarbon potential of the North Ustyurt Oil and Gas Region (OGR) is indeed less pronounced, but recent discoveries in the Tepke area suggest that it is not fully explored. In the Kazakhstani part of the region, approximately 10 fields have been found in the Jurassic, Cretaceous, and Paleogene fields, while in the Karakalpakstan part of Uzbekistan, there are 17 fields in Mesozoic and Paleozoic deposits. For this region, structural and tectonic control over hydrocarbon presence is evident. All identified fields are associated with steps, uplift zones, and monoclines located on the periphery of major flexure systems. Additionally, there are broad patterns in the distribution of fields based on the phase state of hydrocarbons, albeit at a relatively coarse scale: western areas are characterized by oil, north-eastern areas contain dry methane gas, and eastern-southeastern areas, bordering Uzbekistan, have gas condensate fields.
The volumetric distribution of oil and gas fields clearly corresponds to three hypsometrically uplifted segments of flexures: the Arystanov Step, Akkulka Fold, and Shagyrly-Shomyshtinsky Prominence (Figure 1). It is important to note that all of these segments are bounded by significant faults, which does not exclude the possibility of hydrocarbon recharge from deep hydrocarbon generation centers [1].
Geosteering a Well Along the Reservoir Top with Non-Azimuthal Resistivity Measurements, Case Study from Kazakhstan
Authors: Makhambetov A. , Fedorov A. F. , Belousova N. A. , Nemushchenko D. A. , Skorokhodov D. V. , Mukanov Y. M. , Chzhen I. V. , Kulbayev A. , Kurmanbayev Y. Z. , Zaripov N. S. , Zhumabayev A. , Kazybay D. , Kabiyev R. 
Published: November 2023

Abstract
Horizontal drilling in many cases allows for a reduction of the number of wells required to develop a field. Compared to vertical wells, each horizontal well has a larger drainage area. At the same time, planned production can be achieved with a lower drawdown, which extends the life of a well and improves recovery factor and cumulative production. Reduction of the number of wells reduces environmental footprint. Hence, field development with horizontal wells has multiple advantages as compared to vertical drilling. However, horizontal drilling is more complex from technical perspective and requires thorough feasibility studies and utilization of certain methods and technologies to reduce risks related to geology and drilling and improve chances of success, achieve planned production rate withing the anticipated budget and timeframe and, ultimately, planned return on investment.
Despite the advantages, horizontal drilling is not broadly used in Kazakhstan and in general in the Caspian region although in many cases it may be feasible. One of the reasons could be lack of awareness of the methods and technologies utilized in horizontal drilling.
Geosteering is one of the methods required in horizontal drilling. It is the process of adjusting the borehole trajectory while drilling based on interpretation of logging-while-drilling data in order to achieve geological objectives.
Development of Novel Thermoactive Polymer Compositions for Deep Fluid Diversion Purposes
Authors: Veliyev E. F. , Aliyev A. A. , Poladova G. Sh. 
Published: November 2023

Oil and gas production is a vital component of the global economy, serving as the primary source of hydrocarbons, which are not only essential for various products but also as the primary energy source. Global energy consumption, as reported by the International Energy Agency (IEA), has been steadily increasing due to population growth and improved living standards, with a 2.9% increase in 2019, surpassing the 1.9% average annual growth rate of the previous decade [1].
Despite the growing interest in renewable energy resources, they currently represent a small portion of the global energy mix. In 2020, fossil fuels still dominated electricity production in the United States, accounting for approximately 80%, while renewables contributed around 20% [2, 3]. Additionally, renewable energy sources face challenges such as environmental dependence, high initial costs, and environmental consequences related to their production.
In light of these circumstances, hydrocarbon production remains crucial to meet the rising energy demand, achieved through the exploration of new reservoirs or enhancing the productivity of existing ones. Exploring new reservoirs is resource-intensive and often located at greater depths, necessitating innovative technologies [4-5].
Processing OBS Data by Multidimensional Deconvolution in the Presence of a Steeply Sloping Seabed: A Caspian Sea Case History
Authors: Saragoussi E. , Miasnikova G. , Boiero D. , Ashby A. , Bagaini C. 
Published: November 2023

Abstract
Processing of ocean-bottom seismic (OBS) data by deconvolution of up-down separated wavefields simplifies and improves 3D and 4D seismic processing workflows because it attenuates surface-related multiples, compensates for spatio-temporal variations of the water velocity, and performs source designature and deghosting. The assumptions of a 1D earth's interior, which are inherent in an implementation of the technology known as up/down deconvolution (UDD), limit its potential.
We show a successful application of multidimensional deconvolution (MDD), which is a generalization of UDD in complex media, to an OBS dataset acquired in the Caspian Sea that shows a rugose seabed varying from approximately 150 to 450 m with steep slopes. Moreover, the overburden has geological features such as shallow gas, mud volcanoes and crestal faulting and requires a technology that does not make simplifying assumptions.
The impact of phage treatment on bacterial community structure is minor compared to antibiotics
Authors: Gundersen Madeleine S. , Fiedler Alexander W. , Bakke Ingrid , Vadstein Olav 
Published: November 2023

Abstract
Background: Phage treatment is suggested as an alternative to antibiotics; however, there is limited knowledge of how phage treatment impacts resident bacterial community structure. When phages induce bacterial lysis, resources become available to the resident community. Therefore, the density of the target bacterium is essential to consider when investigating the effect of phage treatment. This has never been studied. Thus, we invaded microcosms containing a lake-derived community with Flavobacterium columnare strain Fc7 at no, low or high densities, and treated them with either the bacteriophage FCL-2, the antibiotic Penicillin or kept them untreated (3x3 factorial design). The communities were sampled over the course of one week, and bacterial community composition and density were examined by 16S rDNA amplicon sequencing and flow cytometry.
Results: We show that phage treatment had minor impacts on the resident community when the host F. columnare Fc7 of the phage was present, as it caused no significant differences in bacterial density α- and β-diversity, successional patterns, and community assembly. However, a significant change was observed in community composition when the phage host was absent, mainly driven by a substantial increase in Aquirufa. In contrast, antibiotics induced significant changes in all community characteristics investigated. The most crucial finding was a bloom of γ-proteobacteria and a shift from selection to ecological drift dominating community assembly.
Conclusions:
This study investigated whether the amount of a bacterial host impacted the effect of phage treatment on community structure. We conclude that phage treatment did not significantly affect the diversity or composition of the bacterial communities when the phage host was present, but introduced changes when the host was absent. In contrast, antibiotic treatment was highly disturbing to community structure. Moreover, higher amounts of the bacterial host of the phage increased the contribution of stochastic community assembly and resulted in a feast-famine like response in bacterial density in all treatment groups. This finding emphasises that the invader density used in bacterial invasion studies impacts the experimental reproducibility. Overall, this study supports that phage treatment is substantially less disturbing to bacterial communities than antibiotic treatments.
Saudi Arabia's Post-Oil Economic Prospects: Economic diversification, entrepreneurship and women's empowerment
Authors: Awwad Bahaa Subhi Abdel Latif , Hamdan Allam Mohamed Mousa 
Published: November 2023

Abstract
This study aimed to provide a development model in Saudi Arabia that contributes to getting out of the current oil crisis, the current study provides a model that depends on exploiting Saudi Arabia's capabilities through four basic pillars: The trend towards economic diversification, entrepreneurship, and women's economic empowerment are all these changes in light of public sector reform and governance. The proposed study model was theoretically tested through a comprehensive review of the relevant economic and social literature, and then the study applied this model in Saudi Arabia, using a time series that extends since (2001-2020) and constitutes a total of (20) years. Based on econometric methods in collecting and analyzing data and ensuring its validity, and building representative models of the relationship between the study model with its four pillars and economic growth: The study found a number of results indicating a positive impact of economic diversification, entrepreneurship, and public corporate governance on the economic growth of Saudi Arabia, with mixed results on the impact of women's empowerment on economic growth, and based on those results, a set of recommendations were built related to getting out of the oil crisis, encouraging economic diversification and entrepreneurship, and women's economic empowerment.
Macroinvertebrate communities in Detroit River coastal wetlands: association to water quality status and tributary inputs.
Authors: Robson Jessica , Drouillard Kenneth G 
Published: November 2023

Abstract
The Detroit River is a Great Lakes Area of Concern with five monitored wetlands in the Canadian jurisdiction. Habitat assessments have indicated degraded conditions within two adjoining tributaries, Turkey Creek and River Canard. At these tributary junctions, submerged macrophyte beds extend into the channel where tributary inflow may be altering benthic macroinvertebrate communities. We first examine inter-wetland differences for resemblance to water quality status. We had found by NMDS and PERMANOVA wetland communities had not resembled water quality index scores. Second, we perform an intra-wetland comparison for Turkey Creek and River Canard to analyze for differences along tributary inputs. Wetland communities were delineated by position into upstream, downstream, and tributary plume strata and analyzed by NMDS and PERMANOVA. Additionally, to detect potentially impaired sample sites along tributaries, a multivariate reference condition approach was applied with a habitat standardization to contrast River Canard and Turkey Creek to reference wetlands. At neither River Canard nor Turkey Creek we observed significant tributary influence on river communities but had found the Turkey Creek tributary communities significantly differed from the channel communities. Multiple lines of evidence suggest community impairment in Turkey Creek likely from upstream waters rather than tributary inputs. This study highlights that a-priori site selection by wadable depths and vegetation types is limited in detecting impairment in coastal wetlands who do not conform to these profiles.
Mechanical properties of continuous fiber composite of Titanium nitride – CNT by molecular dynamics simulation
Authors: Azizisough S.M. , Zanoosi Ali Akbar Pasha , Mohammadi Y. 
Published: November 2023

Abstract
This study investigated the use of carbon nanotubes (CNTs) to strengthen the mechanical properties of titanium nitride (TiN). Molecular dynamics simulations showed that the Young's modulus and Poisson's ratio of TiN increased with increasing CNT volume fraction. This suggests that TiN@CNT composites can have superior mechanical properties to pure TiN. The effects of strain rate and temperature on the mechanical properties of TiN@CNT composites were also investigated. Increasing the strain rate had no effect on Young's modulus, Poisson's ratio, or failure stress, but it did reduce the failure strain. Increasing the temperature, on the other hand, decreased Young's modulus and increased Poisson's ratio. These findings suggest that TiN@CNT composites have the potential to be used in a variety of applications where high mechanical strength is required. The ability to tailor the mechanical properties of TiN@CNT composites by varying the CNT volume fraction, strain rate, and temperature makes them a versatile and promising material.
The "Trinity" comprehensively regulates the tumor microenvironment of lipid-coated CaCO3@CuO2-watermelon nanoparticles induces "cuproptosis" in HCC
Authors: Li Weijie , Liu Yong , Wang Han , Li Meijing , Li Bin , Wang Fei , Xu Yong , Lai Yongji , Yang Tan 
Published: November 2023

Abstract
Background
Tumor cell death induced by "cuproptosis" is a novel form of tumor death that differs from apoptosis induced by chemotherapy. It is expected to emerge as a new approach for cancer treatment. In this study, our focus was on exploiting the characteristic of "cuproptosis" which necessitates increased aerobic respiration to induce tumor cell death.
Methods
To achieve this, we developed a novel drug delivery system using a CaCO3@CuO2 lipid coating (CaCO3@CuO2@L). This system aimed to comprehensively modulate the tumor microenvironment and trigger "cuproptosis" in hepatocellular carcinoma (HCC) through the interaction between copper ions and peroxides.
Results
Experimental results revealed that the CaCO3@CuO2@L exhibited a distinct watermelon shape, with CuO2 evenly distributed within the CaCO3 nanoparticles. The nanoparticles had an average size of approximately 191 nm. In vitro studies demonstrated that the nanoparticles released CuO2 in a slightly acidic environment while simultaneously elevating pH levels, reducing glutathione (GSH), and increasing oxygen production. Within liver cancer cells, the CaCO3@CuO2@L effectively regulated the acidity, GSH levels, and oxygen-depleted microenvironment through the "trinity" mechanism, ultimately inducing "cuproptosis" in HCC. Furthermore, in mouse models with transplanted tumors and orthotopic liver cancer tumors, the CaCO3@CuO2@L significantly suppressed tumor growth.
Conclusions
By triggering "cuproptosis" in HCC, this study offers valuable insights for developing a comprehensive treatment approach for HCC. Ultimately, this research may pave the way for the clinical implementation of the drug delivery system based on "cuproptosis" in liver cancer treatment.
Analyzing the threshold effect of environmental regulation and logistics industry agglomeration on road green logistics efficiency: A case study in China
Authors: yao hua , Yu Xinlian , Mao Haijun , Zhang Shunfeng , Wang Dongfang , Yang Lei 
Published: November 2023

Abstract
Road green logistics play a crucial role in promoting a nation’s sustainable economic growth. Environmental regulation (ER) is considered as a major activity to stimulate the development of green logistics. Meanwhile, logistics industry agglomeration (LIA) could enhance the logistics efficiency with reasonable agglomeration. However, the contradiction between them is also becoming important, and the rapid development of logistics has brought huge pressure on the environment. Therefore, the complicated relationship between ER, LIA and road green logistics efficiency(RGLE) needs to be further clarified. Using panel data between 2008 and 2020 in China's 30 provinces, this study measures the RGLE with Super-SBM model. The complex relationships between ER, LIA, and RGLE are then examined with panel regression models. Empirical results indicate that the average RGLE demonstrates a trend of initially declining and then rising, with notable spatial variations. Interestingly, econometric findings confirm that ER does not directly improve RGLE but effectively enhances it through its moderation with LIA. Furthermore, the impact of ER on RGLE exhibits a "U-shaped" relationship under different agglomeration threshold values in the logistics industry. Consequently, this study suggests optimizing LIA and strengthening regional linkage to improve RGLE.