bluuebunny/crossref_metadata_2025_split huggingface dataset:
Technology Focus: EOR Modeling (January 2021)
Authors: Gupta Subodh 
Published: January 2021

The enhanced-oil-recovery (EOR) literature produced in the past several months was dominated by reservoir modeling and characterization; flood enhancements; machine learning; and, more notably, relative permeability estimation. This last one needs to be under-stood further.
Relative permeability characterizes flow in porous media, the understanding and manipulating of which is key to the success of EOR. Our fascination with the topic during the last 75 years, therefore, is understandable. Starting with a seminal paper from W.R. Purcell in 1949, we have more than 12,000 articles in the SPE collection alone on relative permeability estimation, of which more than 400 were published in the last year.
Mechanics of motion is also important to mankind, but we do not have literature piling up on Newton’s laws of motion. Is it that we haven’t understood flow in porous media yet, or is it because the subject matter is so complex? The truth, perhaps, lies somewhere in between.
Flow in pores that are randomly sized, randomly connected, and have variable chemical makeup is, by nature, complex and mathematically unmanageable. Relative permeability has been our attempt to lend its aggregate behavior some sense of manageability. This has always been done in a fit-for-purpose manner. What is fit for one context, however, may not be so for the others, and this uncertainty continues to churn out theses, antitheses, and syntheses. Expectedly, even more such activity arises with every improvement in computing capabilities, as is once again evident with advances in machine learning—new tools to handle old problems. That is where my first pick is for you, with some additional suggested readings in references that follow.
Data analytics does much more than estimate relative permeability, and the second paper abridged here uses it to predict a flood performance.
To allow a break from data science, the third paper chosen deals with the important topic of electromagnetics as applied to reservoir characterization and heating.
I hope you find these to be useful and interesting reads.
Novel Geophone Array Measures Exact Location of Fluid Movement Behind Casing
Authors: Feder Judy 
Published: January 2021

This article, written by JPT Technology Editor Judy Feder, contains highlights of paper SPE 197560, “Enhanced Well Remedial Decisions From Exact Location of Fluid Movement Behind Casing Identification,” by Marcel Croon, SPE, Perry Huber, SPE, and Jacob Wright, SPE, Weatherford, SPE, prepared for the 2019 Abu Dhabi International Petroleum Exhibition and Conference, Abu Dhabi, 11-14 November. The paper has not been peer reviewed.
Historically, acoustic wellbore monitoring is among the primary methods of detecting fluid movement behind the casing. However, analysis of the complex acoustic environment in the wellbore can be challenging. A standard hydrophone noise tool is unable to measure flow directions (vertical and horizontal) and cannot detect low flow, low-pressure sporadic events, or multiple sources. The complete paper discusses a geophone array, including four, three-component geophones deployed by wireline, that provides a solution for this problem by creating a 3D map of the acoustic environment.
Introduction
Well-integrity issues such as a poor cement bond can lead to undesirable fluid movements behind the casing, which could have negative effects with regard to health, safety, and the environment. A detailed understanding of annular fluid movement is critical in identifying potential source locations for wells with surface-casing vent-flow (SCVF) issues. Applicable scenarios include the following:
Planned well-intervention activities for wells with multiple-source vent/flow situations
Confirming the presence of flow (gas/oil/water) behind the casing
Identifying areas with suspected crossflow between zones
Integrity confirmation for gas storage caverns or zones
Identifying unwanted flow for well-abandonment activities
Well abandonment is bound by stringent regulations in some countries where the testing and repair of SCVF and gas-migration (GM) issues before final abandonment are required. An ex-ample is western Canada, where surface casing vents must be tested through a bubble test at minimum. This involves connecting a small container with 2.54 cm of water using fittings to the surface casing vent and monitoring for gas bubbles for 10 minutes. Often the flow rates are very low (less than 35 cu ft/d) with minimal pressure buildup. If bubbles are detected during the monitoring period, the well is deemed to have a positive vent flow. Consequently, the source of the vent flow must be identified by a survey as approved by the energy regulator, which could be conducted by means of acoustic logs, temperature logs, or gas- isotope analysis. Additionally, GM measurements must be conducted before final abandonment in specific areas within western Canada but are recommended for all wells. The complete paper details this process.
An Integrated Experimental Workflow for Formation Water Characterization in Shale Reservoirs: A Case Study of the Bazhenov Formation
Authors: Kazak Ekaterina S. , Kazak Andrey V. , Bilek Felix 
Published: January 2021

Summary
In this study, we aim to develop a new integrated solution for determining the formation water content and salinity for petrophysical characterization. The workflow includes three core components: the evaporation method (EM) with isotopic analysis, analysis of aqueous extracts, and cation exchange capacity (CEC) study. The EM serves to quickly and accurately measure the contents of both free and loosely clay-bound water. The isotopic composition confirms the origin and genesis of the formation water. Chemical analysis of aqueous extracts gives the lower limit of sodium chloride (NaCl) salinity. The CEC describes rock-fluid interactions. The workflow is applicable for tight reservoir rock samples, including shales and source rocks.
A representative collection of rock samples is formed based on the petrophysical interpretation of well logs from a complex source rock of the Bazhenov Formation (BF; Western Siberia, Russia). The EM employs the retort principle but delivers much more accurate and reliable results. The suite of auxiliary laboratory methods includes derivatography, Rock-Eval pyrolysis, and X-ray diffraction (XRD) analysis. Water extracts from the rock samples at natural humidity deliver a lower bound for mineralization (salinity) of formation water. Isotopic analysis of the evaporated water samples covered δ18O and δ2H. A modified alcoholic ammonium chloride [(NH4Cl)Alc] method provides the CEC and exchangeable cation concentration of the rock samples with low carbonate content.
The studied rock samples had residual formation water up to 4.3 wt%, including free up to 3.9 wt% and loosely clay-bound water up to 0.96 wt%. The latter correlates well to the clay content. The estimated formation water salinity reached tens of grams per liter. At the same time, the isotopic composition confirmed the formation genesis at high depth and generally matched with that of the region's deep stratal waters. The content of chemically bound water reached 6.40 wt% and exceeded both free and loosely bound water contents. The analysis of isotopic composition proved the formation water origin. The CEC fell in the range of 1.5 to 4.73 cmol/kg and depended on the clay content.
In this study, we take a qualitative step toward quantifying formation water in shale reservoirs. The research effort delivered an integrated workflow for reliable determination of formation water content, salinity lower bound, and water origin. The results fill the knowledge gaps in the petrophysical interpretation of well logs and general reservoir characterization and reserve estimation. The research novelty uses a unique suite of laboratory methods adapted for tight shale rocks holding less than 1 wt% of water.
Long-term survival and clinical outcomes of non-vascularized autologous and allogeneic fibular grafts are comparable for treating osteonecrosis of the femoral head
Authors: Jie Ke , Feng Wenjun , Li Feilong , Wu Keliang , Chen Jinlun , Zhou Guanming , Zeng Huiliang , Zeng Yirong 
Published: January 2021

Abstract
Background Osteonecrosis of the femoral head (ONFH) is a disabling disease, which often involves young patents. Recently, various hip-preserving surgeries were recommended to delay total hip arthroplasty (THA). Questions/purposes This study aimed to compare clinical outcomes and survival rate in the long-term follow-up between core decompression combined with a non-vascularized autologous fibular graft (group A) and an allogeneic fibular graft (group B) for the treatment of ONFH.Patients and Methods We retrospectively evaluated 117 patients (153 hips) with ONFH (Association Research Circulation Osseous [ARCO] stages IIa to IIIc) who underwent the above-mentioned hip-preserving surgeries between January 2003 and June 2012. The mean (range) follow-up times (years) were 12.9 (7–16) and 9.3 (6–16) in groups A and B, respectively. Clinical outcomes were assessed using the Harris hip score (HHS), visual analog scale (VAS) score, forgotten joint score (FJS). A survival analysis was performed using the Kaplan-Meier method. The end point was THA.Results Groups A and B showed postoperative improvements, respectively, in HHS from 65±7.2 to 80.3±14.5 and from 66±5.9 to 82.4±13.6 (p<0.05), and in VAS score from 6.3±1.1 to 2.3±1.6 and from 6.1±1 to 2.2±2.2 (p<0.05). However, no significant differences in the HHS, VAS score, and hip FJS at the last follow-up (p>0.05) and 15-year survival rate (84.1% and 86%, respectively, p>0.05) were found between group A and B.Conclusions Autologous and allogeneic fibular grafts can attain equally good clinical outcomes and high survival rates in long-term follow-up, and thus can greatly delay THA owing to good bone osseointegration and sufficient mechanical support. Notably, the ratio of failure will increase when patients were more than 37 years old.Level of Evidence Level III, therapeutic study.
Effects of (Mg1/3Sb2/3)4+ substitution on the structure and microwave dielectric properties of Ce2Zr3(Mg1/3Sb2/3)3-3(MoO4)9 ceramics
Authors: Xu Zhou , Lintao Liu , Jiajia Sun , Ningkang Zhang , Huazhang Sun , Haitao Wu , Wenhong Tao 
Published: January 2021

Abstract
Ce 2 [Zr 1-x (Mg 1/3 Sb 2/3 ) x ] 3 (MoO 4 ) 9 (0.02≤x≤0.10) ceramics were prepared well through the traditional solid-state method. A single phase, belonging to the space group of R-3c, was detected by using X-ray diffraction at sintering temperatures ranging from 700 to 850 °C. The crystallization micro-structural of specimens was examined by applying Scanning electron microscopy. The structural refinement of these samples was investigated in detail by performing the Rietveld refinement method. The intrinsic properties were calculated and explored via far-infrared reflectivity spectroscopy. The correlations between the chemical bonds parameters and microwave dielectric properties were calculated and analyzed by P-V-L theory. Ce 2 [Zr 0.94 (Mg 1/3 Sb 2/3 ) 0.06 ] 3 (MoO 4 ) 9 ceramics with excellent dielectric properties: ε r = 10.37, Q×f = 71748 GHz and τ f = −13.6 ppm/°C sintered at 725 °C for 6 hours.
WITHDRAWN: MiR-34a inhibitor protects mesenchymal stem cells from hyperglycaemic injury through the activation of the SIRT1/FoxO3a autophagy pathway
Authors: Zhang Fengyun , Gao Fei , Wang Kun , Liu Xiaohong , Zhang Zhuoqi 
Published: January 2021

Abstract

Background Mesenchymal stem cells (MSCs) are favourable treatments for ischaemic diseases; however, MSCs from diabetic patients are not useful for this purpose. Recent studies have shown that the expression of miR-34a is significantly increased in patients with hyperglycaemia, the precise role of miR-34a in MSCs in diabetes need to be clarified.Objective The aim of this study is to determine the precise role of miR-34a in MSCs exposed to hyperglycaemia and in recovery heart function after myocardial infarction (MI) in diabetes mellitus (DM) rats. Methods DM rats models were established by high-fat diet combined with streptozotocin (STZ) injection. MSCs were isolated from the bone marrow of donor rats. Chronic culture of MSCs under high glucose was used to mimic the DM micro-environment. The role of miR-34a in regulating cell viability, senescence and paracrine effects were investigated using a cell counting kit-8 (CCK-8) assay, senescence-associated β-galactosidase (SA-β-gal) staining, and vascular endothelial growth factor (VEGF) and basic fibroblast growth factor (bFGF) ELISA, respectively. The expression of autophagy- and senescence-associated proteins in MSCs and silent information regulator 1 (SIRT1) and forkhead box class O 3a (FoxO3a) were analyzed by western blotting. Autophagic bodies were analyzed by transmission electron microscopy (TEM). The MI model was established by left anterior descending coronary artery (LAD) ligation, and then the rats were transplanted with differentially treated MSCs intramuscularly at sites around the border zone of the infarcted heart. Thereafter, cardiac function in rats in each group was detected via cardiac ultrasonography at 1 week and 3 weeks after surgery. The infarct size was determined through a 2,3,5-triphenyltetrazolium chloride (TTC) staining assay, while myocardial fibrosis was assessed by Masson staining.Results The results of the current study showed that miR-34a was significantly increased under chronic hyperglycaemia exposure. Overexpression of miR-34a was significantly associated with impaired cell viability, exacerbated senescence and disrupted cell paracrine capacity. Moreover, we found that the mechanism underlying miR-34a-mediated deterioration of MSCs exposed to high glucose involved the activation of the SIRT1/FoxO3a autophagy pathway. Further analysis showed that miR-34a inhibitor-treated MSCs transplantation could improve cardiac function and decrease the scar area in DM rats. Conclusions Our study demonstrates for the first time that miR-34a mediates the deterioration of MSCs functions under hyperglycaemia. The underlying mechanism may involve the SIRT1/FoxO3a autophagy signaling pathway. Thus, inhibition of miR-34a might have important therapeutic implications in MSCs-based therapies for myocardial infarction in DM patients.
Knowledge and understanding of obstetric danger signs among pregnant women attending the antenatal clinic at the National Referral Hospital in Thimphu, Bhutan: a cross-sectional study
Authors: Tamang Saran Tenzin , Dorji Thinley , Yoezer Sonam , Phuntsho Thinley , Dorji Phurb 
Published: January 2021

Abstract
Background: The third Sustainable Development Goal for 2030 development agenda aims to reduce maternal and newborn deaths. Pregnant women’s understanding of danger signs is an important factor in seeking timely care during emergencies. We assessed knowledge of obstetric danger signs using both recall and understanding of appropriate action required during obstetric emergencies. Methods: This was a cross-sectional study among pregnant women attending antenatal clinic at Bhutan’s largest hospital in Thimphu. Recall was assessed against seven obstetric danger signs outlined in the Mother and Child Health Handbook (7 points). Understanding of danger signs was tested using 13 multiple choice questions (13 points). Knowledge was scored out of 20 points and reported as “good” (≥80%), “satisfactory” (60 – 79%) and “poor” (<60%). Correlation between participant characteristics and knowledge score as well as number of danger signs recalled was tested using Pearson’s correlation coefficient. Association between knowledge score and participant characteristics were tested using t-tests (and Kruskal-Wallis test) for numeric variables. Socio-demographic and clinical characteristics associated with the level of knowledge (“good” versus “satisfactory and poor” combined) were assessed with odds ratios (OR) using a log-binomial regression model. All results with p < 0.05 were considered significant.Results: Four hundred and twenty-two women responded to the survey (response rate = 96.0%). Mean (±SD) knowledge score was 12 (±2.5). Twenty women (4.7%) had “good knowledge”, 245 (58.1%) had “satisfactory knowledge” and 157 (37.2%) had “poor knowledge”. The median number of danger signs recalled was 2 (IQR 1, 3) while 68 (20.3%) women could not recall any danger signs. Most women were knowledgeable about pre-labour rupture of membranes (96.0%) while very few women were knowledgeable about spotting during pregnancy (19.9%). Both knowledge score and number of danger signs recalled had significant correlation with the period of gestation. Women with previous surgery on the reproductive tract had higher odds of having good level of knowledge. Conclusions: Most pregnant women had satisfactory knowledge score with poor explicit recall of danger signs. However, women recognized obstetric emergencies and identified the appropriate action warranted.
A meta-analysis of the epidemiology of Giant Cell Arteritis across time and space
Authors: Li Katherine , Semenov Daniel , Turk Matthew , Pope Janet 
Published: January 2021

Abstract
Introduction: Giant cell arteritis (GCA) is a common large vessel vasculitis in those over age 50 years. This meta-analysis examined the geographical and temporal distribution of the incidence, prevalence and mortality of GCA.Methods: A systematic review was conducted using EMBASE, Scopus andPubMed from their inceptions until 2019. Studies were included if they reported at least 50 or more GCA patients and defined the location and time frame. Articles on mortality were included and standardized mortality ratio (SMR) was extracted where possible. Mean pooled prevalence, incidence, and SMR were calculated using a random effects model. Linear regression was used to explore correlations between latitude and incidence, prevalence, and mortality.Results: Of the 3569 citations identified, 107 were included. The pooled incidence of GCA was 10.00 [9.22, 10.78] cases per 100,000 people over 50 years old. This incidence was highest in Scandinavia 21.57 [18.90, 24.23], followed by North and South America 10.89 [8.78, 13.00], Europe 7.26 [6.05, 8.47], and Oceania 7.85 [-1.48, 17.19]. Pooled prevalence was 51.74 [42.04, 61.43] cases per 100,000 people over age 50. Annual mortality was 20.44 [17.84, 23.03] deaths/1000. Mortality generally decreased over the years of publication (p=0.0008). Latitude correlated significantly with incidence (p=0.0011), but not with prevalence, or mortality. Conclusions: GCA incidence varies nearly 3-fold between regions and is highest in Scandinavia but not significantly. Mortality may be improving over time.
Effects of Passive Bi-axial Ankle Movement Training with Electrical Stimulation on Ankle Sensorimotor Functions in Stroke Patients: A Randomized Controlled Pilot Study
Authors: Cho Ji-Eun , Shin Joon-Ho , Kim Hogene 
Published: January 2021

Abstract
Background: This study was conducted to investigate the effect of passive biaxial ankle movement training synchronized with electrical stimulation therapy (AMT-EST) on ankle proprioception, ankle strength, balance, and gait in chronic stroke patients. We observed the changes in ankle sensorimotor function after stroke.Methods: Thirty-five stroke patients were randomized to an experimental or control group, and 30 patients completed the trials. The experimental group received AMT-EST on the affected ankle for 30 minutes a day, 5 times a week for 4 weeks, for a total of 20 sessions. The control group received electrical stimulation therapy on the affected ankle. The primary outcome measures were ankle proprioception, passive range of motion, and strength. The secondary outcome measures were balance and gait-related functional abilities.Results: Compared with those in the control group, the participants in the experimental group who received AMT-EST showed significant post-training improvement in ankle proprioception of eversion (P<0.05). The ankle passive range of motion (inversion and eversion), ankle strength (dorsiflexion, plantarflexion, inversion, and eversion), and functional abilities (Fugl–Meyer Assessment, Berg Balance Scale, Timed Up and Go test, Fall Efficacy Scale, and walking speed) significantly improved in the experimental group (P<0.05). Significant group×time interactions were observed in ankle passive range of motion (inversion and eversion), ankle strength (dorsiflexion), and Fugl–Meyer Assessment (P<0.05). All ankle proprioception moderately correlated with ankle passive range of motion (eversion), ankle strength (dorsiflexion and eversion), the Berg Balance Scale, and Fugl–Meyer Assessment (P<0.05).Conclusions: Biaxial AMT-EST effectively increased ankle proprioception, range of motion, strength, and functional abilities in chronic stroke patients. These findings suggest that AMT-EST can be proposed as a novel ankle rehabilitation program for chronic stroke patients with ankle sensorimotor impairment.Trial registration: This study was approved by the Institutional Review Board at a rehabilitation hospital (NRC-2017-04-035, National Rehabilitation Center, Seoul, South Korea) and retrospectively registered at a clinical trial registry on January 31, 2020 (CRIS, KCT0004688, https://cris.nih.go.kr/).
Optimization of Air Traffic Management Efficiency Based on Deep Learning Enriched by the Long Short-term Memory(LSTM) and Extreme Learning Machine(ELM)
Authors: Aghdam Mahdi Yousefzadeh , Kamel Seyed Reza , Chabok Seyed Javad Mahdavi , khairabadi maryam 
Published: January 2021

Abstract
Air traffic management refers to the activities required for the efficient and safe management of the national air system (NAS) for each country. This concept has been widely assessed due to its complexity and sensitivity for the beneficiaries, including passengers, airlines, regulatory agencies, and other organizations. To date, various methods (e.g., statistical and fuzzy techniques) and data mining algorithms (e.g., neural network) have been used to solve the issues of air traffic management (ATM) and delay the minimization problems. However, each of these techniques has some disadvantages, such as overlooking the data, computational complexities, and uncertainty. The present study aimed to increase ATM efficiency using the deep learning approach. The main research objective was to propose a deep learning model with the application of a long short-term memory-based deep learning model in order to increase the predictive accuracy in short daily and long-term annual windows by enhancing deep learning (two-dimensional). In addition, the deep model output was transferred to the extreme learning machine fast learning deep neural machine in order to calculate the estimated time of arrival real-time based on other similar input data, including the NAS data, bureau of transportation statistics system, and automatic dependent surveillance-broadcast system. The final results indicated the increased accuracy of ATM compared to other studies.