bluuebunny/crossref_metadata_2025_split huggingface dataset:
Novel Kick Detection Tool Based on Knowledge-Data-Dual-Driven Approaches
Authors: Shi Xiaoyan , Cui Meng , Ji Yong , Wu Dong , Guo Weihong , Jing Lingzhi , Tian Yumeng , Yang Xinyi 
Published: September 2023

Abstract
Recognizing abnormal fluid influx is the first and most important step for well control safety. However, due to the complexity of the wellbore fluid mechanism, uncertainty of the formation pressure and noises in the real-time measurement data, it is difficult to detect kicks by conventional approaches. The purpose of this paper is to propose a knowledge-data hybrid approach and build a reliable and easy-to-use tool to automatically detect kicks. Based on the knowledge of the kick main indicators, this work utilizes Long-Short moving window average algorithm combining advanced filtration technology to capture subtle change trends precisely and timely in noisy real-time measured surface data during drilling. Self-adaptive kick threshold value adopting approaches are proposed to improve the accuracy of kick detection for different data measuring technologies. The knowledge and inference logic of specific drilling operations and phenomena, such as wellbore ballooning effects and drilling fluid poring, are embedded in the data analysis technologies to reduce the false alarms of the kick detection system. A reliable and practical intelligent kick detection tool is built based on this knowledge-data-dual-driven method. The must-have input set of this tool only contains 8 channels, including pit volumes, outlet flowrate, stand pipe pressure, and etc, which makes the tool flexible and widely applicable. The tool consumes both real-time and archived drilling data, and provide audible and easy-to-understand visual alarms when kick is detected. Moreover, the tool supports different outlet flowrate measurement technologies, including Paddle meter, Radar meter and Coriolis meter. Extensive testing process using historical data manifests that the kick detection rate is 100% (correctly detected 16 kicks out of total 16 kicks), and the overall detection time is 6.1 mins earlier comparing to that of conventional methods. The tool was also deployed in a real-time operation center for more comprehensive verification. During the trial, 1 kick was experienced which was detected accurately and timely by the tool. The false alarm rate of the tool is lower than 3.5 times per 12 drilling hours for paddle meters. According to the demonstrated kick detection rate and false alarm rate, the tool is promising and beneficial for detecting kicks in early time automatically, which improves the well control safety and enables further automatic well control process.
Maximizing Technology for the Energy Transition: An Organisational Innovation Adoption Culture Survey
Authors: Roberts Ruby , Flin Rhona , Corradi Luca 
Published: September 2023

Abstract
Accelerating our transition towards a net zero future is imperative for both the longer-term success of the energy sector and providing energy security for wider society. An integrated North Sea offers significant opportunities for working towards these targets but also represents challenges for the energy sector. Innovation has been the backbone of the oil and gas industry, continuing to provide many solutions for a smooth transition. Whilst there have been increasing efforts to facilitate innovation, the oil and gas industry has retained a reputation for being conservative and reluctant to adopt new technology with many companies preferring to be "fast followers". Consequently, it is essential for the success of the energy transition to address the resistance to innovation adoption.
Our previous research has shown that that psychological factors impact on technology adoption decisions in the oil and gas industry, such as gatekeepers’ attitudes, motivations, and risk perception, as well as social influence – all with the potential to act as innovation barriers. Organisational culture was found to have a significant effect on how people respond to and introduce technology into their organisation. Whilst the role of organisational culture is recognised for key strategic priorities, such as safety, less is known about the culture that values and facilitates innovation uptake. In response to this gap, a pioneering organisational innovation adoption culture questionnaire was developed based upon our earlier findings and extant literatures. Having been successfully piloted with 12 operating companies in 2021, in this study it was refined and validated with one international oil company.
The refined innovation adoption questionnaire consists of 36 items covering eight factors: Collaboration, Innovation Value, Leadership & Vision, Implementation Context, Open Communication, Organisational Learning & Competence, Rewards & Recognition, and Risk Taking for Technology adoption. The questionnaire was run in an online survey across the company with 455 participants (85%working onshore and 13% working offshore, 2% did not indicate). The results provided a valuable snapshot of this company's innovation adoption culture across multiple locations and business areas. To examine the link between innovation adoption culture and innovation adoption behaviour, two questions asked about the current technology innovation adoption status in the company. An overview of the development of the measure and results of a psychometric analysis (criterion validity) of the questionnaire will be given, as well as recommendations and best practices on how to support an innovation adoption culture. This novel survey tool can offer valuable insights for companies looking to strengthen their innovation uptake profile, maximising the potential of innovation as part of their energy transition.
ROV-Based Multi-String Hot Tapping Optimizes Subsea Wellhead Annulus Abandonment
Authors: Wylie Iain , Malone John , Shiung Cody , Thaisiri Korakoch , Sripramote Pobtorn 
Published: September 2023

Abstract
Using a remotely operated vehicle (ROV) to access annular spaces within a subsea multi-string wellhead avoids HSE risk and subsequently reduces the cost and time associated with abandonment operations compared to that of typical rig workovers and diver-assisted repairs. This method was selected to access the annuli of plugged and abandoned exploration wells for remediation, prior to wellhead severance. The operation creates a controlled conduit to surface for pressure testing, venting, and cementing operations to each annulus in a multi-string configuration.
A set of subsea exploration wells drilled in the late 1980’s, slated for wellhead severance, had been plugged and abandoned. However, a wireline survey found evidence of gas trapped in various annuli, preventing severance until remediated, which could have introduced Health, Safety, and Environment (HSE) risk during wellhead severance operations. These wellheads consisted of a 30 in. wellhead and various combinations of 20 in., 13 3/8 in., and 9 5/8 in. casings. To avoid rig workover or diver-assisted operations, a suite of ROV tooling was developed to gain controlled access to each annulus. The operation involved cutting a window into the wellhead, preparing a sealing surface for an isolation valve, and hot tapping a hole into the annulus. A downline was then connected for remediation operations.
The ROV-based subsea multi-string hot tapping method safely accessed a mixture of single and multiple annuli subsea wellheads. Over two campaigns of 42 wells, the typical time to complete a two-annulus well was three and half days and two and half days for a one-annulus well. The annulus remediation had mixed success; some wells pressure tested well after venting, other wells required cementing, and some wells with low injectivity and continuing pressure trends were plugged for remediation by a rig in a later campaign. Overall, the campaign demonstrated a new ROV method for controlled hydraulic access to the annular space of subsea wellheads for intervention and remediation.
The ROV-based method described in this paper has been applied for decommissioning the annulus of plugged and abandoned subsea wells prior to wellhead severance but could be applied for other annular access purposes.
Low Cost Electrochemical Ammonia Cracking and Fuel Cell
Authors: Laddha Chetan 
Published: September 2023

Abstract
Ammonia is a dense energy carrier with high energy density and established supply chain for transport, and storage of green energy. Ammonia is a common commodity used in the fertiliser and chemical sector and has a potential to become an affordable and sustainable energy carrier to meet growing demand for industrial decarbonisation. This paper describes an innovative ceramics-based solid oxide fuel cell technology for conversion of ammonia into fossil fuel parity energy at a thermal efficiency of 85%. The technology is based on proton conducting ceramics (PCC) electrochemical pathway which eliminates NOx emissions by design and ammonia slippage by catalyst performance and reactor design. The technology has been developed over the last 7 years and the ammonia utilisation capabilities has been proven through demonstrations conducted for O&G and industrial companies. The technology uses low-cost and widely available ceramics-based catalyst. The technology is particularly suited for industrial decarbonisation because of the ability to yield high efficiency and the ability to produce low-cost heat at 700C and hydrogen as byproducts.
Lithium Extraction From North Sea Oilfield Brines Using Ion Exchange Membranes
Authors: Disu Botelho , Rafati Roozbeh , Haddad Amin Sharifi , Fierus Nabihah 
Published: September 2023

Abstract
The annual demand for lithium for low-carbon technologies applications has been trading exponentially forward, 965% more in 2050 than the quantity demanded in 2017. In the current chain of demand, there is a necessity for continuous lithium production from both conventional sources (i.e., salt lakes and rock minerals) as well as the incorporation of novel extraction sites from alternative brine resources such as Oilfield and Geothermal. In the present paper, the lithium potentiality of the North Sea is evaluated with fields in the Central-East and Southern-West reaching the highest regional concentration of 40 ppm. Those include oilfields such as Montrose, Arbroath, Ula, Nelson, Brisling, Gyda, Ekofisk and Bream, as well as gas fields such as the Esmond, Anglia, Lemman, Ann, and Viking, with the possibility of brine enrichment extending itself even to shallow waters fields around the Groningen region. To experimentally evaluate the potential extractability of lithium from those oilfield brine resources in the North Sea, ion-sieve adsorbents (Li1.6Mn1.6O4) were prepared from commercially available LiMnO2 and formed into three different ion-exchange membranes. The foam had the best performance out of those structures, displaying a higher and much stabler powder insertion capacity compared to granular and flat sheet membranes, which registered significant material loss. At an optimum polymeric concentration of 10% and MNO/PVA ratio of about 50%, the foam membrane had the highest theoretical extraction capacity of 9.94 mg/g, followed by granular and flat sheet, with 7.36 and 7.24 mg/g, respectively. Those membranes had good selectivity forward lithium ion in the presence of other competing cations when used on synthetic oilfield brine with concentration mimicking that of Buchan field, being able to efficiently recover 18.4% (foam), 17% (granular), and 14.37% (flat sheet) of lithium. However, the recovery capacity was increased up to 50% when non-formed HMO powder was used, with selectivity in the following decreased order of affinity, Li+ &gt; Mg2+ &gt; Na+ &gt; Ca2+ &gt; K+. The powder recoverability raises the lithium production prospect from North Sea brine to about 26.2 kg per day with an estimated market value of 1834 USD for the produced quantity.
Recurrence Time and Down-Dip Size of Chilean Earthquakes Influenced by Geological Structure
Authors: Julve Joaquín , Barbot Sylvain , Moreno Marcos , Tassara Andrés , Araya Rodolfo , Catalán Nicole , Crempien Jorge , Becerra Valeria 
Published: September 2023

Abstract
In 1960, the giant Valdivia earthquake (Mw 9.5), the largest earthquake ever recorded, struck the Chilean subduction zone, rupturing the entire depth of the seismogenic zone and extending for 1,000 km along strike. The first sign of new seismic energy release since 1960 occurred in 2017 with the Melinka earthquake (Mw 7.6), which affected only a portion of the deepest part of the seismogenic zone. Despite the recognition that rupture characteristics and rheology vary with depth, the mechanical controls behind such variations of earthquake size remain elusive. Here, we build quasi-dynamic simulations of the seismic cycle in Southern Chile including frictional and viscoelastic properties, drawing upon a compilation of geological and geophysical insights, to explain the recurrence times of recent, historic, and paleoseismic earthquakes and the distribution of fault slip and crustal deformation associated with the Melinka and Valdivia earthquakes. The frictional and rheological properties of the forearc, primarily controlled by the geological structure and distribution of fluids at the megathrust, govern earthquake size and recurrence patterns in Chile.
A Distributed Virtual-Machine Placement and Migration Approach Based on Modern Portfolio Theory
Authors: Filho Manoel Campos da Silva , Monteiro Claudio de Castro , Inácio Pedro Ricardo Morais , Freire Mário Marques 
Published: September 2023

Abstract
Virtual machine placement and migration (VMPM) are key operations for managing cloud resources. Considering the large scale of cloud infrastructures, several proposals still fail to provide a comprehensive and scalable solution. A variety of approaches have been used to address this issue, e.g., the modern portfolio theory (MPT). Originally formulated for financial markets, MPT enables the construction of a portfolio of financial assets in order to maximize profit and reduce risk. This paper presents a novel VMPM approach applying MPT and incremental statistics computation for VMPM decisionmaking so as to maximize resource usage while minimizing under and overload. Extensive simulation experiments were conducted using CloudSim Plus, relying on synthetic data, PlanetLab and Google Cluster traces. Results show that the proposal is highly scalable and largely reduces computational complexity and memory footprint, making it suitable for large-scale cloud service providers.
Moonlight role of PEDF in breast cancer: self-renewal inhibition in breast cancer stem cells
Authors: Gil-Gas Carmen , Sánchez-Díez Marta , Honrubia-Gómez Paloma , Sánchez-Sánchez Jose Luis , Alvarez-Simón Carmen Belen , Sabater Sebastiá , Sánchez-Sánchez Francisco , Ramirez-Castillejo Carmen 
Published: September 2023

Abstract
Background: Breast cancer is the leading cause of death among females in developed countries. Although the implementation of screening tests and the development of new therapies has increased the probability of remission, relapse rates remain high. Numerous studies have indicated the connection between cancer initiating cells and slow cellular cycle cells, identified by their capacity to retain long labelling (LT+).
Methods: In this study, we perform tumour cell culture dose-response assays in adherent and mamospheres cultures. We also probe our conclusion in Xenograft models. Cell culture and in vivo tumours were analysed by immunofluorescence, qPCR and flow cytometry assays showing how stem cell self-renewal modulating proteins, such as PEDF, can statistically significant modify the properties, cell-percentage expressing biomarkers, and carcinogenicity of cancer stem cells (by student t-test).
Results: The PEDF signaling pathway could be a useful tool for controlling cancer stem cells’ self-renewal, and therefore control patient relapse, as PEDF enhances resistance in breast cancer patient cells in vitro culture. We have designed a peptide consisting in the C-terminal part of this protein, which acts by blocking endogenous PEDF in culture cell assays.
Conclusion: We demonstrate that it is possible to interfere with the self-renewal capacity of cancer stem cells, induce anoikis in vivo, and reduce resistance against Docetaxel treatment in cancer patient cells in in vitro culture. We have also demonstrated that this PEDF-modified protein produces a significant decrease in the percentage of cancer stem cell expressing markers.
Rectified Artificial Neural Networks for Long-term Force Sensing in Piezoelectric Touch Panels
Authors: Liu Yong , Gao Qihang , Zhang Ran , Gao Shuo , Huang Anbiao , Wang Wenshuo 
Published: September 2023

Abstract
Human-machine interface based on force touch panel has attract enormous attention, for the merits of high human-machine interaction efficiency. Many studies and researches are devoted to diverse force touch technologies. Broad applications in both actual use and research have been developed, such as 3D Touch and force-based keystroke authentication. The fruitful results are based on the assumption that users’ touch habits remain unchanged along the time, thus a stationary customized force sensing model can be build. However, in longterm use, users’ touch habits changed due to time-drifting and specific-event, causing stationary force sensing model’s performance decreased. To address this issue, a rectified artificial neural network for long-term force sensing in piezoelectric touch panels is presented in this paper. With additional information of touching time and sign of specific-event, the predictions of force level are rectified, achieving an accuracy of 94.79% on long-term data set. The proposed technique enables customized force sensing in long-term use and enhancing human-machine interactive efficiency.
Ultrasound-guided dexmedetomidine combination with modified high fascia iliaca compartment block for arthroscopic knee surgery: What is the Optimal Dose of Dexmedetomidine?
Authors: Chen An , Duan Wanqing , Hao Ruijinlin , Wang Chen , Xu Xingguo 
Published: September 2023

Abstract
Background: Total knee arthroplasty (TKA) is a common orthopedic procedure for end-stage knee osteoarthritis. Although effective in relieving pain and improving function, postoperative pain is still a common and distressing problem for many patients. This study aims to investigate efficacy of combined administration of dexmedetomidine and modified high fascia iliaca compartment block (H-FICB) in managing acute and chronic pain after TKA, as well as to identify the optimal dosage of dexmedetomidine.
Methods: A double-blind, randomized controlled trial was conducted to evaluate the effects of dexmedetomidine in patients undergoing TKA. A total of 96 patients undergoing TKA were randomly assigned to one of three groups, were treated with different doses of dexmedetomidine All groups received H-FIB. Pain scores, opioid consumption, side effects, and quality of life were recorded 48 hours postoperatively.
Results: The intraoperative consumption of remifentanil and propofol in Group Db was significantly reduced compared with that in Group D0 and Da (P < 0.05). Compared with D0 and Da group, Db group had the lowest number of rescue analgesia, analgesia time and morphine accumulative dosage 48 hours after operation (P < 0.05). The Db group had the lowest scores on the numerical rating scale at rest (P < 0.05) and during movement (P < 0.01), followed by the Da group and then the D0 group. Additionally, the incidence of nausea and vomiting was significantly reduced in the Db group (P < 0.05). Furthermore, the Db group had the lowest incidence of chronic pain (P < 0.05).
Discussion: In comparison to the other two groups, the administration of combined dexmedetomidine and H-FIB resulted in a significant reduction in pain scores, opioid consumption, and side effects. The optimal dosage of dexmedetomidine was determined to be 1 µg/kg, which provided the most favorable pain relief with minimal adverse effects.
The effect of music therapy on social interaction function in interventions with children with autism spectrum disorder
Authors: Wang Yuxiang , Zhang Tong 
Published: September 2023

Abstract

Background
Children with autism spectrum disorder (ASD) vary in their social interaction needs. In their development, improving social interaction is important. Although music therapy has long been used with children with ASD, there is a lack of quality research showing the effects of music therapy on social interaction. Our objective was to examine the effects of group music therapy as measured by ASD assessment tools for social skills improvements and explore whether there are differences in social functions between music therapy and music education.
Methods
Fifty children with a diagnosis of ASD were assessed on the Childhood Autism Rating Scale (CARS), the Autism Treatment Evaluation Checklist (ATEC), and the Social Responsiveness Scale (SRS). The children were randomly assigned to the music therapy group (MTG) or the music education group (MEG). Every child was involved in 30-minute group sessions for 8 weeks. MTG sessions were designed to target social skills based on the transformation design model. MEG lessons were based on Orff’s music education system, and some other music activities were added according to children’s preferences. All subjects were reassessed after the 8-week intervention.
Results
Both MTG and MEG showed significant changes before and after 8-week intervention. In comparison to difference score of CARS, SRS and ATEC, there was significant difference between two groups. Children in MTG group showed greater changes after the intervention
Conclusion
Our statistical results show that music therapy improves social interaction function and supports further research on music therapy in the social interaction skills training of children with ASD.
Trial registration
Chinese Clinical Trial Registry, No. ChiCTR2200060926. Registered 14/06/2022, https://www.chictr.org.cn/