bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluating Lifting Options Using Multiphase Dynamic Flow Simulation in a Complex Offshore Oil Well - Case Study
Authors: Ayyad Abdelhadi Atef , Arafa Mahmoud Ibrahim , Merghany Ibrahim Aly , Korish Mahmoud , Elrayes Soha , Negm Mohammed Nagy , Rashad Osama Mohamed , Khalil Ahmed Mahmoud , Ahmed Mahmoud Abdelrahman , Youssef Ahmed Hassan , Elwan Mahmoud , Darwish Hatem Mohamed , Hasan Gehad Fawzy 
Published: March 2023

Abstract
This paper presents a case study of using the dynamic multiphase simulator in planning an offshore well. The drilling engineers expected to encounter some issues that would lead to installing a smaller production liner. The use of the five-inch liner would affect the gas lift valves' location and lead to a shallower operating point of injection, which would not have considerable tolerance for the operational parameter's changes and would reduce lifetime and reserves.
Many scenarios were simulated using a commercial dynamic simulator to support operational planning. The scenarios included keeping the well flowing naturally, installing a gas lift system, using a tail pipe string, and a combination of gas lift and tail pipe. The effect of each decision on the well's abandonment pressure was studied using sensitivity and uncertainty and with near wellbore modeling. In addition, the study simulated the restarting of the well after shut-in under several operating conditions. The restarting options included supporting the gas lift with coiled tubing nitrogen lifting considering different types of killing fluid.
Combining the five-inch liner with a tail-pipe string can be used to restore the original well's lifetime. The study saved the company the cost and time of drilling a new hole. The well’s operating envelope was developed at each operational change to ensure stable production while taking the operational constraints into consideration. Complementing the steady-state gas lift design with dynamic testing enhanced the design and improved the standard procedures of the unloading.
This study brings the significance of dynamic simulations in the overall production cycle: planning to operations. Further, dynamic simulations also help arrive at guidelines for the operators on how to avoid failed start-ups and ensure stable operation. The power of integration between different disciplines is shown through the incorporation of several subsurface and surface information in the uncertainty study.
A Novel Approach to Combine Models to Evaluate Interwell Connectivity in a Waterflooded Reservoir with Limited Injection History
Authors: Djanuar Yanfidra , Huang Qingfeng , Adnan Izwan , Lozano Jose , Ameish Giamal , Gibrata Muhammad , Venkatraman Ashwin , Malkov Anton , Davudov Davud , A Rahman Rosmawati , Al-Aulaqi Talal , Dindoruk Birol 
Published: March 2023

AbstractWaterflooding is one of the most widely implemented enhanced recovery in mature oil fields. In the absence of a reliable reservoir model, waterflood optimization can be a challenge. The availability of continuous recording of production, injection and well data can be utilized to improve reservoir management in this novel approach.This study presents a new approach using Machine Learning (ML) technique through multiple signal analysis to optimize waterflood operation in a brownfield offshore Caspian Sea. To evaluate injection efficiency on oil production, firstly the interwell connectivity between injectors and producers are determined. However, because of the complexities associated with the reservoir and the data, it has been achieved through analyzing various available signal types which are informative and responsive to injection rates. Results obtained from multiple signals are then aggregated to identify the injector-producer pair connectivity. Next, production well performances are evaluated through multiple diagnostic models. Finally, the impact of injectors on oil production rates are analyzed and injector efficiencies are determined to establish a more efficient waterflooding strategy.The proposed methodology has been applied to a reservoir with around 50 producers and 7 injectors. The interwell connectivity between pairs have been identified and ranked. Using data analytics techniques on multiple surveillance data sets, the analysis of the waterflood is achieved more swiftly and accurately. It was observed that for this specific case, the most informative signals that help determine connectivity are the water cut, and water production rate. The identified injector-producer connections obtained from these models were further verified and compared well with additional available surveillance data on tracers for this reservoir. Understanding these leads to devising optimum waterflooding strategies such as diverting more injection water to the more efficient injectors and less injection water to the inefficient injectors.A novel multi-signal analysis using ML techniques is proposed that combines multiple data being collected as part of surveillance. The presented approach can be extended to similar waterfloods to help with optimizing the waterflooding strategy. This new approach helps with current digitization strategies in oil companies that seek to obtain faster and consistent solutions to accelerate decision making and as an alternative to cases especially where reservoir model is poorly defined.
Production Data Diagnostics based on Inflow Performance Relationship of pumping wells in CBM Fields
Authors: Bhide Sarang , Jain Rajesh , Srivastava Priyank , Fife Dustin 
Published: March 2023

AbstractCoal Bed Methane (CBM) is a type of unconventional resource wherein methane gas adsorbed on surface of coal seams is produced by dewatering waterfilled coal seams and thereby causing desorption of the gas. This paper aims at applying quick look diagnostic curves to assess performance of Coal Bed Methane (CBM) wells which traditionally encounter high frequency workovers with reservoir heterogeneity and complex physics. Currently, very few production diagnostic tools are available to access / predict unconventional Coal Bed Methane (CBM) well behavior. Use of production diagnostic curves using pressure-rate data is presented to distinguish the well performance with variety of completion types and artificial lift strategies which provides gainful insights into relative well performance. Inferences could be used to plan / optimize for future development strategies for infill drilling. Response based diagnostic tools are derived using P-Q (Pressure-Rate) and PI-Cum. (Productivity Index - Cum. Prod.) plots and extrapolation of trends can be used to guesstimate the expected ultimate recoveries and drainage area for CBM wells. Thus, typical characteristics of these performance plot gives clear indication of qualitative desorption front. Diagnostic P-Q and PI-Cum. performance curves were generated for various on-stream CBM wells and these curves were used to identify and predict the flow regime in wells with different completion scenarios. Single phase Inflow-Performance Relationship (IPR) shows a typical behavior in most of the wells and analysis of life-cycle IPR indicates a characteristic signature for on-set of pseudo-steady state (PSS). Flow regimes which can be clearly identified are initial flow i.e. Infinite acting radial flow (IARF), completion/intervention dependent flow and PSS flow. The initial flow period involves dewatering of coal seam and hence generates a hyperbolic curve on the p-q plot. As desorption front advances further, peak gas production is observed and this phase can be prolonged by effective use of Artificial lift (AL) strategies to maximize the drawdown. The well soon shows positive slope line on IPR that corresponds to Pseudo-steady state or Boundary dominated flow. At this juncture the drainage boundary of the well is properly defined and so is the Expected Ultimate Recovery (EUR). This phase is the longest in terms of well life cycle. These diagnostic tools were highly useful in well and reservoir performance analysis to optimize the AL and workover practices for CBM wells. This paper brings out novel approach towards analysis of production data from CBM field with wells operating on Progressive Cavity Pumps (PCP's) to dewater coal beds, it brings out a way to qualitatively estimate the desorption front and quantitatively deduce the EUR’s of the wells. This paper proposes a way to generate "Type well" analysis for CBM field and augment a reliable production forecasting.
Benchmark Drilling Performance in the Undrillable Complex Fold Belt Area
Authors: Memon Hizbullah , Jingbin Mei , Agha Ghulam Nabi 
Published: March 2023

Abstract
Alpha Field, a fold belt Oil & Gas field located in the Kirthar mountainous range, has remained as one of most problematic drilling terrains of Pakistan and had been once termed as an undrillable prospect considering the multiple sidetracks at previous wells. Due to formation challenges and multiple sidetracks. One of offset wells had been abandoned because of not reaching to reservoir target and other offset well was eventually reach to well TD after three sidetracks and incurred heavy costs.
This paper discusses the case study of phenomenal drilling performance at Well-3 in Alpha field which includes extensive well engineering data reviews to achieve operational excellence. A very detailed offset review has been prepared followed by generation of well plan after careful selection of the drilling plans which included drill bits designs, BHA selections, drilling practices, drilling fluids performance targets, drilling rig performance and extensive level of vigilance to deliver the most complex well with best of the class benchmarking in the field as compared with previous wells and surrounding fields of similar sub-surface challenges.
The detailed Well Design and Engineering together with technological selection purely application-based enabling to deliver a successful Alpha field well, both in terms of the lowest cost and in terms of time as the fastest well in Alpha field.
The Alpha field due to its complexity, lower success rates and higher costs was one of the most challenging assets in terms of drilling and production delivery. With excellent drilling performance at Well-3 and good production results has opened more opportunities for the Alpha field, and more wells are being planned in the upcoming time.
Issues of development of competitive relations in the Russian banking system
Authors: Belousov A. L. 
Published: March 2023

Objective: to study the features of building competitive relations in the Russian banking sector and to assess the prospects for the development of the system of competition protection regulation in this area.Methods: logical and structural analysis, system-functional approach, formal legal method.Results: the author reveals the essence and features of building competitive relations in the modern banking system of the Russian Federation. Based on the calculation of the Herﬁndahl–Hirschman index, the level of competitive relations in the banking industry is assessed. The key issues, positive and negative trends in the development of competition in the banking sector are identiﬁed. The existing approaches are investigated to the issue of the impact of competition in the banking sector on the stability of both credit institutions in particular and the entire ﬁnancial system as a whole. The inﬂuence of the regulatory mechanism on the state of competition in the banking sector is analyzed. Examples of foreign experience in regulating competitive relations in this ﬁeld are given. The ways of further development of regulatory approaches are formulated, which are aimed at ensuring the protection of competition in the banking system.Scientiﬁc novelty: it consists in the complex nature of the study of relations in competition protection in the banking sector.Practical signiﬁcance: it consists in the formation of a certain theoretical basis necessary both for studying the essence of competitive relations in the banking system and for developing proposals for adjusting regulatory policy in this area in the future.
Confrontation with fear of falling among hospitalized older patients
Authors: Fu Fang , Yan Weiting , Yu Xinbei 
Published: March 2023

Abstract
Background
Fear of falling (FOF), regarded as one of the major long-term detrimental outcomes, is a common psychological issue that should not be neglected in elderly people with previous falling experience. This study intends to explore the confrontation of FOF among the elderly patients hospitalized due to falls.
Methods
Semi-structured in-depth interviews were performed with 21 elderly patients hospitalized in trauma surgery department wards due to falls, ranging in age from 61 to 83 years old (average 70.67 years)in the Orthopaedics Department of the hospital. Later, thematic analysis was performed to analyse the data obtained from the patient interviews.
Results
The results of this study proved that three types of coping strategies were developed by hospitalized older adults: primary confrontation, in terms of explaining the reason of falls by attributing it to inevitable Consequence of Ageing as well as accidental Events; secondary confrontation of fear including self-consolation, downstairs comparison and distraction from fear, as well as confronting and reflecting fear; and tertiary confrontation of the consequences of falling such as active rehabilitation, food therapy, seeking emotional support, use of assistive devices and environment modification.
Conclusion
The study highlighted the importance of taking preventive measure to avoid FOF. Moreover, a variety of cognitive coping strategies could be explored with hospitalized older adults to deal with the emotion of fear. The potential consequences of FOF can be dealt with by provide trainings in physical exercises and lectures containing nutrition information,etc.
The Effect of Communicating Genetic Risk of Type 2 Diabetes and Wearable Technologies On Wearable-Device-Measured Behavioral Outcomes in East Asians: Protocol of a Randomized Controlled Trial
Authors: Kim Youngwon , Godino Job , Cheung Flora Lai Tung , Michael Multhaup , Chan Derwin K C , Chen Ziyuan , Ho Harrison Hin Sheung , Tse Tsz Him Timothy , Yeung Shiu Lun Au , Luo Shan , Zhang Joni H , Wang Mengyao , Chung Brian Hon-Yin , Griffin Simon J 
Published: March 2023

Abstract
Background: Communication of information about risk of type 2 diabetes (T2D) alone has not been associated with changes in habitual behaviors among individuals of European ancestry. In contrast, the use of wearable devices that monitor physical activity (PA) has been associated with changes in behavior in some studies. It is uncertain whether risk communication might enhance the effects of wearable devices. We aim to assess the effects on wearable-device-measured PA of communicating genetic risk for T2D alone or in combination with goal setting and activity prompts from a wearable device among overweight or obese East Asians.
Methods: In a parallel group, randomized controlled trial, a total of 355 overweight or obese East Asian individuals aged 40-60 years will be allocated into one of three groups: 1 control and 2 intervention groups. Blood samples will be used for estimation of T2D genetic risk and analysis of metabolic risk markers. Genetic risk of T2D will be estimated based on 113 SNPs associated with T2D among East Asians using an established method. All three groups will receive a Fitbit device. Both intervention groups will be given T2D genetic risk estimates along with lifestyle advice, but one of the intervention groups will additionally use Fitbit’s step-goal setting and prompt functions. Questionnaires and physical measurements will be administered at baseline, immediately after intervention delivery, and 6 and 12-month post-intervention following standard operating procedures. The primary outcome is time spent in moderate-to-vigorous PA measured through the Fitbit. Secondary outcomes include other parameters of wearable-device-measured PA, sedentary time, and sleep, body mass index, systolic and diastolic blood pressure, five intermediate metabolic risk markers, hand grip strength, self-reported PA, self-reported fruit and vegetable consumption and smoking status, and a list of psychological variables.
Discussion: This study will be the first randomized controlled trial using the combination of communication of T2D genetic risk with standard functions of wearable devices in any population. Findings will inform strategies to prevent T2D through lifestyle modification.
Reusing Disposable Low- Density Polyethylene Waste Plastics for Flexible Paver Tile Construction for Outdoor Application
Authors: DEBELE ABU DUGUMA , Demeke Sinknesh , Bekele Tadele , Malimo Markos 
Published: March 2023

Abstract
Plastic waste poses serious environmental problems as it is non-biodegradable and consists of several toxic chemicals that can pollute the environment. The use of this waste as a substitute material is gaining interest due to its environmental friendliness. Therefore, the aim of this study was to develop and characterize paver tiles from sand and waste plastics. First, waste plastic is collected, identified, grinded, and melted at temperature of 170°C. The sample sand was sieved to size of less than 0.75mm and mixed with plastic in specified proportion, then molded. Paving tiles were developed using hydraulic press with process parameters of plastic percentage from 10% to 40%, pressure from 1MPa to 5MPa and pressing time from 2 to 8minutes. Individual and interaction effects of 3 process parameters on physico-mechanical properties like water absorption(WA), flexural strength(FS) and compressive strength(CS) were investigated and analyzed using BBD and Design -Expert13 software with p-values of 5%. The result showed that the optimum point was obtained at 25% of waste plastic, time of 5minutes and pressure of 3MPa, resulting in maximum FS of 3.689MPa and CS of 4.141MPa, and overall average WA of Paver was 0.322%. Therefore, the developed tiles have better WA, FS and CS that meet the desired standard. From this finding, it can be concluded that reusing LDPE waste plastic with sand in the production of tiles is possible, and used for various outdoor applications. Therefore, making pavement tiles by reusing waste plastic is a promising option to protect our environment from pollution.
A rare heteroplasmic point mutation in the MT-ND5 gene (m.13094T&gt;C; p.Val253Ala) found in a patient with adult onset MELAS syndrome: a case report
Authors: Amirifard Hamed , Shahbazi Mojtaba , Farahmand Ghasem , Kaeedi Maryam , Havadaragh Sanaz Heydari 
Published: March 2023

Abstract

Background:Mitochondrial encephalopathy, lactic acidosis and stroke-like episodes (MELAS) is a rare multisystem mitochondrial cytopathy that is highly heterogeneous in severity and clinical presentation mostly caused by diverse mutations in the mitochondrial DNA. Clinical spectrum of MELAS is broadening as atypical presentations and more knowledge are gathering from this syndrome. There is no specific known treatment for the progressive disease however metabolic cocktail have been used to improve ATP production.Case presentation: This report documents the case of a 37 year old Iranian woman diagnosed with MELAS. Her clinical manifestations include recurrent episodes of stroke-like events, focal seizures and elevated serum and CSF lactate. Mitochondrial DNA analysis (mtDNA) was positive for a very rare pathogen point mutation (mtDNA; m.3243A>G) in the MT-ND5 gene with a heteroplasmy level of 8.2%.Conclusion:The clinical spectrum of MELAS is broadening as its atypical presentations make a diagnostic challenge that may lead to decades of delay in diagnosis. The number of molecular causes of MELAS and Leigh syndrome (LS) has increased steadily.
Computational Analysis of crRNA to Regulate hsa-miR-301b-3p and hsa-miR-21 related to metastasis and cell proliferation in acute myeloid leukemia (AML) using CRISPR/C2c2
Authors: Moeini Omid , Gholamzad Amir , Khatibi Mahsa , Nourikhani Mohammadmatin , Hosseini SeyedArmit , Rahmani Amirali , Aliyarzadeh Arshia , Gholamzad Mehrdad 
Published: March 2023

Abstract
Background
Myeloid or lymphoid progenitors in the bone marrow can develop into leukemia, which is clonal cancer. Acute myeloid leukemia (AML) developed as a result of somatic mutations in the precursor cells of the myeloid lineage along with transcriptome dysregulation of bone marrow infiltration, which resulted in the generation of immature myeloid cells (blasts) and disruption of normal hematopoiesis. Current research has demonstrated the metastasis potential of a certain subset of microRNAs. As a result, miRNA downregulation at the transcriptional level can reduce the possibility of metastasis. The purpose of this work is to analyze miRNA precursor targeting utilizing the CRISPR-C2c2 (Cas13a) method.
Results
crRNAs designed for miR-301b and miR-21 has a very high structural similarity with binding energy to the state observed in the normal condition.
Conclusion
Sequence-based evaluation of crRNAs intended for RNA-level editing is insufficient; simulation and molecular docking investigations should also be carried out for improved accuracy.
COVID-19 and Mental Health in China: Effects of Personality and Demographics
Authors: Zhang Xiao , Battisti Michele , Proto Eugenio 
Published: March 2023

Abstract
China was the first country affected by the COVID-19 virus and it reacted strongly in the first months of 2020. We present new evidence on the deterioration in mental health in China between 2018 and 2020. Using two waves of the China Family Panel Studies (CFPS) we can follow the same individuals pre and during the pandemic periods. We find clear evidence of a moderate level of mental health deterioration between 2018 and 2020. The prevalence of severe cases of depression, measured using an eight-item version of the common CES-D scale, increased from 6.33% in 2018 to 7.54% in 2020; quantifiable as around a 19% increase. This deterioration is higher for individuals who are subject to strict lockdowns, about 0.3 symptoms more on average, and it is stronger among those who already reported symptoms of depression in the 2018 wave of data. The effects we find are larger for individuals with more open personalities: one standard deviation of the Openness trait corresponds to 0.05 more symptoms, while more Neurotic individuals are rather surprisingly less affected. Younger cohorts and individuals with lower levels of education are more affected. Males seem slightly more affected than females, although this difference is statistically non-significant.