bluuebunny/crossref_metadata_2025_split huggingface dataset:
Targeting Cytochrome P450 Enzymes in Ovarian Cancers: new approaches for Tumour-Selective Interventions
Authors: Al-saraireh Yousef M. , Alshammari Fatemah O. F. O. , Abu-azzam Omar H. , Al-dalain Sa’ed M. , Al-sarayra Yahya M. , Haddad Mansour , Makeen Hafiz , Al-Qtaitat Aiman , Almermesh Mohammad , Al-sarayreh Sameeh A. 
Published: September 2023

Over the past decade, significant developments have occurred in treatment strategies for ovarian cancer, yet targeted therapy with few side effects is still a major issue. The cytochrome P450 (CYP) enzyme family plays a vital role in the tumorigenesis process and metabolism of drugs, with a negative impact on therapy outcomes. Gaining more insight into CYP expression is crucial for understanding the pathophysiology of ovarian cancer since many isoforms are essential for the metabolism of xenobiotics and steroid hormones, which drive the disease&#039;s development. The purpose of this review is to provide a clear understanding of differential CYP expression in ovarian cancer and its implications for the prognosis of ovarian cancer patients, together with their polymorphisms&#039; effect on chemotherapy metabolism. Finally, we provide our thoughts on opportunities to exploit metabolic CYP expression for novel therapeutic development to treat ovarian cancer.
Clubfoot and the Ponseti Method: A Bibliometric Analysis
Authors: Kiani Sara N. , Yang Daniel , Zheng Jenny L. , Spiegel David A. 
Published: September 2023

Background:
The aim of the present study was to perform a bibliometric analysis of research articles published on clubfoot to provide a quantitative description of the literature and to gather information on the institutions, journals, researchers, and countries publishing on this topic.

Methods:
This bibliometric analysis consisted of 2 Web of Science searches. The first identified all articles published prior to April 25, 2022, with “clubfoot” in the title, abstract, or keywords, and the second identified all articles with “Ponseti.” Studies were exported in BibTeX format and uploaded into Biblioshiny software in RStudio. Descriptive statistics are reported for variables related to the article, author, and country in which the research was conducted.

Results:
A total of 2,177 articles identified using the term “clubfoot” were included. The first article was published in 1902, and there was a 3% annual growth rate. A total of 762 articles identified using the term “Ponseti” were included, with the first published in 1992 and a 13.9% annual growth rate. The Journal of Pediatric Orthopaedics accounted for almost one-quarter of all published reports.

Conclusions:
The literature on clubfoot has expanded in the past decades, and the percentage of studies concerning the Ponseti method has increased dramatically in the years following adoption in the U.S. and, more recently, globally. While a number of studies involved collaboration between authors in high-income and low- and middle-income countries, further collaboration will be essential to evaluate outcomes and help improve service delivery as adoption of this method increases globally.

Clinical Relevance:
This paper explores how the orthopaedic and scientific communities have increasingly contributed to literature on Ponseti casting and clubfoot, and discusses how contributions to the literature are becoming increasingly widespread.
Impact of Salinity on Waterflood Displacement Efficiency
Authors: Al Jadidi A. Y. , Mackay E. J. 
Published: September 2023

Abstract
Fluid properties are among the main parameters that influence waterflood performance. This paper aims to investigate the impact of salinity on displacement efficiency by understanding the effects on physical properties. Besides salinity, dissolved CO2 and temperature effects are also evaluated. Based on these, the paper assesses when the different effects are significant, in which brine tracking and temperature modelling are required. In addition, it provides insights about reservoir applications involving CO2.
The majority of the studies in the literature about the effects of salinity, mainly the injection of low salinity water, on oil recovery involve geochemical reactions, and there is a lack of studies about the effects of physical properties in that regard.
In this work, a sensitivity analysis by compositional reservoir simulation is conducted, where variable salinity cases are simulated in isothermal and non-isothermal systems, with oil composition considering both with and without dissolved CO2. Both 2D and 3D grids are used.
The analysis shows that salinity did not strongly impact the oil recovery; its effect on density and viscosity is insufficient to impact displacement efficiency. Moreover, CO2 increased the oil recovery significantly for both 2D and 3D systems, which is attributed to improving oil viscosity and oil swelling phenomena. The reduction in temperature improved the oil recovery slightly for 2D systems and significantly for 3D systems. This suggests that injecting cool brines into hot reservoirs leads to better oil recovery for 3D systems when there is no CO2 due to gravitational effects, while 2D systems, where gravity is less pronounced, have more recovery in the presence of CO2. Additionally, gravity effects are minimized due to the very low mobility ratio. Based on that, brine tracking is generally not required, while temperature modelling in compositional simulations is advised.
AI Enabled Digital Rock Technology for Larger Scale Modelling of Complex Fractured Subsurface Rocks
Authors: Panaitescu C. T. , Wu K. , Tanino Y. , Starkey A. 
Published: September 2023

Abstract
Quantifying and modelling fractured subsurface rocks, characterised by their complex geometric heterogeneity, is crucial to the geo-energy transition because it helps predict flow properties in fractured systems. Multiscale Digital Rock Technology (MDRT) offers a solution to analyse comprehensive fluid flow mechanisms from the pore scale to much larger scales. In addition, artificial intelligence (AI) techniques can add significant value to geoscience workflows, automating time-consuming tasks, some even prohibitively long if done manually (such as 3D image volume labelling), and obtaining new insight from combining highly diverse data sources.
We propose a novel machine-learning algorithm for semantic segmentation of rock matrix, fractures, vugs, and secondary mineralogy. After implementing and examining deep and shallow-learning approaches, we concluded to use shallow machine-learning methods for increased computational efficiency and explainability while achieving comparable accuracy. By integrating our novel machine-learning algorithm into the multiscale Pore Network Model (PNM) code, we improve the modelling method of subsurface flow, particularly in complex fractured subsurface systems and carbonates.
The resulting algorithm accurately discriminates between pores, fractures, and vugs. Therefore, it enhances the accuracy of pore-fracture-vug network extraction and simulation and provides an improved analysis of complex rock structures. Moreover, the segmentation results are integrated into a Fracture-Pore Network Model, validated against high-fidelity OpenFOAM simulation.
This integration of fractures into the PNM code allows for larger scale fluid flow simulation in complex fractured subsurface systems. The current research produced a fast algorithm that accurately and automatically segments X-ray micro-computed tomography (micro-CT) samples having pores, fractures, and vugs. Our validation also showcases the potential of this algorithm to improve existing industrial core analysis practices.
A New Innovative Cement Evaluation Method for Highly Deviated or Horizontal Wells
Authors: Kumar A. , Singh K. , Oliver D. S , Dutta S. 
Published: September 2023

Abstract
Evaluation of cement integrity to prevent fluid migration in the annular space behind casing may become challenging under certain well conditions. Conventional cement evaluation tools are useful in most scenarios, but in highly challenging operations (deviated or horizontal wells), there is a pressing need for more advanced cement evaluation and processing techniques to increase the confidence of the measurements for the evaluation of wellbore integrity.
Pulse-Echo and/or Flexural wave measurement, along with sonic measurements, are generally run in tandem for improved cement evaluation. The method relies on knowing the wellbore fluid properties (acoustic velocity and acoustic impedance), which may change in deviated or horizontal sections of a well due to mud settling or mud segregation with lighter components on the high side and heavier components on the lower side of the well. This segregation phenomenon, if not accounted for, results in erroneous cement interpretation answers with uncertainty, such as low-acoustic impedance stripe in the direction of heavier mud components. A new advanced ultrasonic technology and its embedded unique inversion processing known as R+, based on 3-parameter inversion approach is developed, which first computes the wellbore mud impedance 360 deg and then uses it as an input to compute the annular material acoustic impedance accurately. This method can also reveal wellbore conditions such as mud settling and segregation.
This paper demonstrates the application of new advanced ultrasonic tool and the R+ inversion processing through multiple case studies. In all the cases explained in the paper, we see that due to mud segregation in the borehole, it was difficult to identify true annular conditions. The R+ inversion method was used to confirm the wellbore fluid heterogeneity. All the case studies compare cement evaluation performed using the classic T3 method with R+ inversion method. The uncertainties faced due to mud segregation inside the wellbore were properly addressed with the new R+ inversion method, and the final cement interpretation helps the operators in taking operational decisions in time.
The advanced ultrasonic technology and R+ inversion method will ensure accurate cement evaluation in challenging wellbore environments where mud segregation is expected irrespective of casing sizes and cement types. With accurate cement evaluation, the operators can avoid unnecessary costly cement remedial operations at any point (new well, intervention, plug and abandonment), thus impacting the rig activities.
Active Magnetic Ranging While Drilling: Prototype Tool Test
Authors: Husby K. , Hjelstuen M. , Eriksen T. J. , Liberale A. , Koraei M. , Ytrehus J. D. , Saasen A. 
Published: September 2023

Abstract
A well intercept operation has the scope to drill into an existing well. Similarly, some infill drilling operations are conducted with the scope of avoiding interception with other wells. A prototype of a tool for Active Magnetic Ranging While Drilling (AMR) without the use of a wireline operation has been developed. The main scope of the current article is presenting the results of a prototype test of this new tool in attest well.
The ranging tool emits a low frequency alternating current into the formation to reach the target well, and then run through that's casing back to the well being drilled. This electric current set up a variable magnetic field that is measured by the AMR tool determining the direction towards the target well as well as the distance. If drilling a relief well, 10 - 25 wireline runs are needed before the target well is intercepted. The present AMR tool is fully integrated in the drill pipe and, thus, all the tripping operations are avoided.
A prototype of an active magnetic ranging tool on the drill pipe has been developed. This tool is outlined in detail in the paper. Most focus will be given to a performance test conducted in a research well in Norway. A drill pipe is placed in a vertical well, being the target well. The AMR tool was run in the research well and the direction and distance to nearby target wells was measured. The set-up and the results of this logging operation conducted on a drill pipe is described in detail. It is shown how the direction and distance between the two wells are measured using the tool.
Most intercept operations are not relief well drilling, but cases where a well needs to be intercepted because a well section shall be connected to another well, or during plug and abandonment operation. The tool can also be used for avoiding collision with other wells, which is a relevant scope for drilling infill wells in older fields or radiator wells in geothermal drilling. The tool and its potential are outlined in the paper.
A Novel Approach to Map Heavy Oil Viscosity from Standard Mud Gas – A Field Case from the Peregrino Field
Authors: Bravo M. C. , Cely A. , Xavier D. , Masutti L. , Souza M. , Donnadieu S. , Yang T. 
Published: September 2023

Abstract
Peregrino is a heavy oil field in the Campos basin offshore Brazil. The field started production in 2011, and Phase 2 was on stream in 2022. More development drilling is ongoing. The oil viscosity in Phase 2 has large variations from limited exploration wells, ranging from 30 to 180 cp. Any changes in the viscosity in the reservoirs can lead to a large difference in oil recovery. Therefore, updating the viscosity distribution in the reservoirs along with the development drilling is important.
Different methods can acquire reservoir oil viscosity, including downhole logging and sampling, mud gas, extracts from cuttings, and surface oil sampling. Our previous studies demonstrate that mud gas provides real-time and continuous reservoir oil properties. Due to the use of water-based mud in the development drilling and relatively high degasser temperature, the standard mud gas data has been of good quality come to light gas components C1 to C3. Standard mud gas logging is part of the mud logging service, and there is no additional cost to acquire the data. Can we develop a simple approach to predict the oil viscosity based on the "free" standard mud gas data?
A thorough study has been performed based on the reservoir fluid database from the Peregrino field. The results show the methane/ethane and methane/propane ratios are the best parameters correlated to reservoir oil viscosity. Before adopting the new method using standard mud gas, we extensively compared results with the measurement of PVT (Pressure Volume Temperature) samples and pressure points. The comparison shows that the simple approach based on standard mud gas provides an oil viscosity classification that distinguishes between high and low-viscosity fluids along a given well. The threshold for the two categories is identified from the reservoir fluid database, and the results from the mud gas method are in excellent agreement with the experimental results from the PVT analysis. The latter ones are regarded as the ground truth answer. Therefore, we deployed a simple approach based on standard mud gas data to map oil viscosity for future wells.
The new approach using standard mud gas data provides a real-time method to identify the continuous reservoir oil viscosity following the well path without data acquisition cost. Along with drilling more wells, we will soon achieve a detailed and accurate reservoir oil viscosity distribution in different reservoirs. The viscosity mapping of the reservoirs lays the ground for further optimizing the drilling target and well placement and improving the oil recovery.
Stuckpipe Prediction Based on Artificial Intelligence and Real-Time Sub/Surface Parameters Indicators Measurements
Authors: Mohammed A. Malki , Mahmoud F Abughaban , Thiago T Guimaraes , Albara’ A Alshawabkeh 
Published: September 2023

Abstract
Drilling operations should be as conservative as possible. These operations will become more critical in extensively depleted reservoirs. The drilling crew have to manage the allowable surface parameters in order to ensure smooth operations and can no longer rely on traditional operations either balanced or overbalanced drilling. This paper presents a model to predict stuckpipe incidents based on supervised machine-learning and real-time feature-engineering integrated with rig physical parameters. It avails of the real-time drilling data collection, fixes data issues, and analyzes the patterns within these parameters values to identify the warning signs of stuckpipe incidents. It has been tested on both types of wells either stuck or non-stuck incidents. The model was able to give alarms of downhole incidents early before the stuckpipe incidents happen to allow for time window and help the rig crew go for proactive actions to mitigate these risks.
Adopting the Data Mesh – An approach to unlock business value
Authors: Ramchandani D. , Mackinnon D. 
Published: September 2023

Abstract
This paper presents a case study on the adoption of Data Mesh, a novel approach to managing data in organisations, and its impact on unlocking business value. The study explores the implementation of Data Mesh principles, including the establishment of decentralised data ownership and domain-oriented data teams. The results demonstrate the effectiveness of Data Mesh in improving data accessibility, data quality, and accelerating data-driven decision-making processes. This paper provides insights and practical recommendations for organisations looking to adopt Data Mesh to harness the true potential of their data assets.
Mitigating Global Warming with Underground Hydrogen Storage: Impacts of H2S Generation
Authors: Rosman A. , Hamdi Z. , Ali M. , Bataee M. 
Published: September 2023

Summary
In the last few years, the share of renewable energy as a supply source for electrical energy has increased. However, the renewable energy sector is faced with the problem of storing the excess energy produced due to fluctuation of energy demand due to seasonality. Storing hydrogen in subsurface formation has become a viable option in recent years as more hydrocarbon reservoirs are depleted. A review of the literature revealed that there are limited modelling efforts for underground hydrogen storage in depleted gas reservoirs owing to a lack of field implementation for calibration. Modelling of such processes is important for operators to be able to design as Underground Hydrogen Storage (UHS) properly for HSE reasons especially considering some reservoirs may be prone to reservoir souring due to biochemical reactions with hydrogen injection. The simulation model used in this study and simulation cases were run using Eclipse to evaluate the magnitude of hydrogen losses due to sulfate-reduction reactions. In addition, H2S generation from this reaction will also be evaluated to see the potential impact on overall UHS operations. Furthermore, the H2S quantity will be limited by the available amount of CO2, thus, the solubility of CO2 in the formation water will be highlighted.
From this modelling study, it is observed that depending on the estimated reaction rate and sulfate concentration, H2S generated and produced can be of considerable amount which can pose serious HSE problems. It also means that less hydrogen will be recovered for power generation because some hydrogen will be converted to CO2 and H2S in the reservoir, rendering UHS uneconomical and not a viable option for hydrogen storage. Selection of depleted hydrocarbon reservoirs for UHS must then take into account rock minerals, formation water pH, reservoir pressure and temperature among others to ensure maximum hydrogen is recovered.
A Feasibility Study of Geothermal Energy Extraction in the Baram Basin, Sarawak Using Numerical Reservoir Simulation Based on Analogue Data
Authors: Bataee M. , Carter R. , Hamdi Z. , Bennour Z. , Mahmud H. K. B. 
Published: September 2023

Abstract
Renewable energy sources are becoming favorable choices nowadays, due to Regulators’ desire to respond to the challenges of climate action and meet the need for global reduction of CO2. Geothermal energy is a recognized source of clean, low carbon renewable energy, however, selecting an optimized location for extracting this heat energy from the subsurface depends on many factors, and there are always risks involved with obtaining accurate and realistic values for the key parameters. In this project, the feasibility of geothermal energy extraction was studied using reservoir simulation, based on publicly available analogue data. The investigation focused on the Baram Basin, located in the state of Sarawak, Malaysia. Published data from existing fields and recent exploration and appraisal activities are used for estimating the likely range for both surface and subsurface parameters. Different geothermal development scenarios were run with and without injection wells to investigate the effect of formation pressure on sustainable water production. Results of this study indicate that optimum well spacing of 300m was predicted for maximum sustainable heat extraction. Results of the work compare the amount of enthalpy derived from production with estimates of Levelized Cost of Electricity. Simplified economics were run to explore commercial competitiveness. Sensitivity analysis has explored the key risk factors in this study and reveals the likely ranges for recoverable thermal energy for a profitable project. Geothermal energy sets an example for other energy providers by offering renewable baseload power, reducing emissions, enhancing energy independence, creating jobs, utilizing heat for various applications, and emphasizing long-term resource availability, inspiring greater sustainability, reliability, and environmental stewardship in energy generation practices.
Porthos – CO2 Storage in Highly-Depleted Gas Fields
Authors: Schiferli W. 
Published: September 2023

Abstract
In two planned large-scale CCS projects in the Netherlands – Porthos and Aramis – depleted gas fields will be used for CO2 storage. These fields are characterized by low reservoir pressures. For example, the Porthos project is planned to inject into a field with a reservoir pressure below 20 bar. Project design and operational philosophy need to be specifically tailored to the storage reservoir properties in order to avoid excessively low temperatures when injecting into such fields. This paper describes how these challenges were addressed for the Porthos project.
In most CCS projects, a CO2 mixture is transported in a surface network at high pressure and ambient temperature and injected into an aquifer. At the high reservoir pressure typical of aquifer storage the CO2 stream remains in dense phase or supercritical conditions in the entire system. This dense phase transport strategy is not feasible for the P18 field since the bottomhole pressure (BHP) is around 25 bar at the required injection rates. At this low pressure, CO2 will exist in two-phase conditions which results in very low temperatures of −10 °C. These low temperatures are unacceptable since they may result in hydrate formation in the reservoir and well integrity issues.
A specific operating philosophy and project design was developed to avoid unacceptably low temperatures. At a reservoir pressure below 50 bar, CO2 is injected in gas phase in the pipeline and wells. Once the reservoir reaches a pressure of 50 bar the pipeline pressure is increased to 85 bar to achieve dense phase conditions. The well is operated in two-phase conditions but due to the higher BHP well temperatures are now acceptable. However, if CO2 is transported at ambient temperature the injection flow range per well is very narrow and the required project injection range cannot be met. This is addressed by using the heat of compression to heat the CO2 stream and insulating the pipeline to achieve elevated arrival temperature. Without these specific choices, safe injection into the P18 field would not have been possible.