bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Innovative Acid Diversion Using In-Situ Foam Generation: Experimental and Successful Field Application
Authors: Al-Nakhli Ayman , Gizani Mohannad , Baiz Abdualilah , Yami Mohammed 
Published: December 2021

Abstract
In carbonate reservoirs, effective acid stimulation is essential to overcome reservoir damage and mainline high oil production. Recently, most of oil wells are being drilled horizontally to maximize production. Acid stimulation of horizontal wells with long intervals require very effective acid diversion system. If the diversion system is not efficient enough, most of the acid will be leaking-off near the casing shoe, in openhole well, which will result in a fast water breakthrough and diminish production.
This study describes a breakthrough treatment for acidizing long horizontal wells in carbonate formations. The novel technology is based on in-situ foam generation to divert the acid. Gas diversion, as a foam, is a perfect diversion mechanism as gas creates pressure resistance which forces the acid stages to be diverted to new ones?. The diversion will not require the acid to be spent, compared to viscoelastic diverting system. Moreover, no gel is left behind post treatment, which will eliminate any damage potential. The system is not impacted with the presence of corrosion products, where diverting system will not function without effective pickling and tubular cleanup.
Lab results showed that the new in-situ foam generation system was very effective on both dolomite and calcite cores. The system creates high back pressure when foam is generated, which significantly diverts the acid stages to stimulate other intervals. Moreover, the new system minimizes acid leak-off and penetration. Open completing the job, the foam collapse leaving no left behind any damaging material. Field application of the in-situ foam generating system showed high success rate and outperformed other diversion mechanisms. The well gain was up to 18 folds of the original well injectivity.
Primary Energy System Chain Security Under the Energy Transition
Authors: Alsayegh Osamah 
Published: December 2021

Abstract
This paper examines the energy transition consequences on the oil and gas energy system chain as it propagates from net importing through the transit to the net exporting countries (or regions). The fundamental energy system security concerns of importing, transit, and exporting regions are analyzed under the low carbon energy transition dynamics. The analysis is evidence-based on diversification of energy sources, energy supply and demand evolution, and energy demand management development. The analysis results imply that the energy system is going through technological and logistical reallocation of primary energy. The manifestation of such reallocation includes an increase in electrification, the rise of energy carrier options, and clean technologies. Under healthy and normal global economic growth, the reallocation mentioned above would have a mild effect on curbing the oil and gas primary energy demands growth. A case study concerning electric vehicles, which is part of the energy transition aspect, is presented to assess its impact on the energy system, precisely on the fossil fuel demand. Results show that electric vehicles are indirectly fueled, mainly from fossil-fired power stations through electric grids. Moreover, oil byproducts use in the electric vehicle industry confirms the reallocation of the energy system components' roles.
The paper's contribution to the literature is the portrayal of the energy system security state under the low carbon energy transition. The significance of this representation is to shed light on the concerns of the net exporting, transit, and net importing regions under such evolution. Subsequently, it facilitates the development of measures toward mitigating world tensions and conflicts, enhancing the global socio-economic wellbeing, and preventing corruption.
Smart and Innovative Methods Throughout Well Kick-Off Operation
Authors: Wael Ziadat , Ahmed Arnous , Abdullah Aldabil 
Published: December 2021

Abstract
This paper is focused on the daily processes in the well kick-off operations, which are still a significant source of risk from occupational safety and health prospect. Several studies show that the number of severe injuries and fatalities still remains high despite substantial efforts the industry has put in recent years in decreasing those numbers. This paper argues that the next level of safety performance will have to consider a transition from coping solely with workplace dangers, to a more innovative paradigm. Taking operations & transportation risks into consideration leads to embracing a smart way to eliminating risk factors to a minimum and, in many cases eliminating such risk.
Characterization of Critically Stressed Fractures Using Fluid-Flow Models for Naturally Fractured Reservoirs
Authors: Hamid Osman H. , Sanee Reza , Folorunso Oluyemi Gbenga 
Published: December 2021

Abstract
Fracture characterization, including permeability and deformation due to fluid flow, plays an essential role in hydrocarbon production during the development of naturally fractured reservoirs. The conventional way of characterization of the fracture is experimental, and modeling approaches. In this study, a conceptual model will be developed based on the structural style to study the fracture distributions, the influence of the fluid flow and geomechanics in the fracture conductivity, investigate the stress regime in the study area.
Understanding the fracture properties will be conducted by studying the fracture properties from the core sample, image log interpretation. 3D geomechanical models will be constructed to evaluate the fluid flow properties; the models consider the crossflow coefficient and the compression coefficient. According to the model results, the fracture permeability decreases with increasing effective stress. The degree of decline is related to the crossflow coefficient and the compression coefficient. Most of these reservoirs are mainly composed of two porosity systems for fluid flow: the matrix component and fractures. Therefore, fluid flow path distribution within a naturally fractured reservoir depends on several features related to the rock matrix and fracture systems' properties.
The main element that could help us identify the fluid flow paths is the critical stress analysis, which considers the in-situ stress regime model (in terms of magnitude and direction) and the spatial distributions of natural fractures fluid flow path. The critical stress requires calculating the normal and shear stress in each fracture plane to evaluate the conditions for critical and non-critical fractures. Based on this classification, some fractures can dominate the fluid-flow paths.
To perform the critical stress analysis, fracture characterization and stress analysis were described using a 3D stress tensor model capturing the in-situ stress direction and magnitude applied to a discrete fracture model, identifying the fluid flow paths along the fractured reservoir.
The results show that in-situ stress rotation observed in the breakouts or drilling induce tensile fractures (DITFs) interpreted from borehole images.
The stress regime changes are probably attributed to some influence of deeply seated faults under the studied sequence. the flow of water-oil ratio through intact rock and fractures with/without imbibition was modeled based on the material balance based on preset conceptual reservoir parameters to investigate the water-oil ratio flow gradients
A Fast ANN Trained Solver Enables Real-Time Radial Inversion of Dielectric Dispersion Data & Accurate Estimate of Reserves in Challenging Environments
Authors: Hanif Amer , Frost Elton , Le Fei , Nikitenko Marina , Blinov Mikhail , Velker Nikolay 
Published: December 2021

Abstract
Dielectric dispersion measurements are increasingly used by petrophysicists to reduce uncertainty in their hydrocarbon saturation analysis, and subsequent reserves estimation, especially when encountered with challenging environments. Some of these challenges are related to variable or unknown formation water salinity and/or a changing rock texture which is a common attribute of carbonate reservoirs found in the Middle East. A new multi-frequency, multi-spacing dielectric logging service, utilizes a sensor array scheme which provides wave attenuation and phase difference measurements at multiple depths of investigation up to 8 inches inside the formation. The improvement in depth of investigation provides a better measurement of true formation properties, however, also provides a higher likelihood of measuring radial heterogeneity due to spatially variable shallow mud-filtrate invasion. Meaningful petrophysical interpretation requires an accurate electromagnetic (EM) inversion, which accommodates this heterogeneity, while converting raw tool measurements to true formation dielectric properties.
Forward modeling solvers are typically beset with a slow processing speed precluding use of complex, albeit representative, formation petrophysical models. An artificial neural network (ANN) has been trained to significantly speed up the forward solver, thus leading to implementation and real-time execution of a complex multi-layer radial inversion algorithm. The paper describes, in detail, the development, training and validation of both the ANN network and the inversion algorithm.
The presented algorithm and ANN inversion has shown ability to accurately resolve mud filtrate invasion profile as well as the true formation properties of individual layers. Examples are presented which demonstrate that comprehensive, multi-frequency, multi-array, EM data sets are inverted efficiently for dis-similar dielectric properties of both invaded and non-invaded formation layers around the wellbore. The results are further utilized for accurate hydrocarbon quantification otherwise not achieved by conventional resistivity based saturation techniques.
This paper presents the development of a new EM inversion algorithm and an artificial neural network (ANN) trained to significantly speed up the solution of this algorithm. This approach leads to a fast turnaround for an accurate petrophysical analysis, reserves estimate and completion decisions.
An Accurate Cubic Law for the Upscaling of Discrete Natural Fractures
Authors: He Xupeng , Alsinan Marwa , Kwak Hyung , Hoteit Hussein 
Published: December 2021

Abstract
Modeling fluid flow in fractured reservoirs requires an accurate evaluation of the hydraulic properties of discrete fractures. Full Navier-Stokes simulations provide an accurate approximation of the flow within fractures, including fracture upscaling. However, its excessive computational cost makes it impractical. The traditionally used cubic law (CL) is known to overshoot the fracture hydraulic properties significantly. In this work, we propose an alternative method based on the cubic law. We first develop geometric rules based on the fracture topography data, by which we subdivide the fracture into segments and local cells. We then modify the aperture field by incorporating the effects of flow direction, flow tortuosity, normal aperture, and local roughness. The approach is applicable for fractures in 2D and 3D spaces. This paper presented almost all existing CL-based models in the literature, which include more than twenty models. We benchmarked all these models, including our proposed model, for thousands of fracture cases. High-resolution simulations solving the full-physics Navier-Stokes (NS) equations were used to compute the reference solutions. We highlight the behavior of accuracy and limitations of all tested models as a function of fracture geometric characteristics, such as roughness. The obtained accuracy of the proposed model showed the highest for more than 2000 fracture cases with a wide range of tortuosity, roughness, and mechanical aperture variations. None of the existing methods in the literature provide this level of accuracy and applicability. The proposed model retains the simplicity and efficiency of the cubic law and can be easily implemented in workflows for reservoir characterization and modeling.
Engineering Charts for Predicting Breakdown Pressure for Finite-Length Wellbore Intervals
Authors: Han Yanhui , Chen Shengli , Abousleiman Younane 
Published: December 2021

Abstract
In wellbore drilling, the drilling mud density needs to be carefully selected such that the mud pressure inside the wellbore will not exceed formation breakdown pressure to avoid wellbore fracturing and extensive mud losses. However, in the hydraulic fracturing treatment, the lesser the value of the formation breakdown pressure the more optimal is the operation. We found out in this study that the pumping schedule (e.g., pumping duration and pumping rate) are factors in optimizing the breakdown pressure. In addition, this work investigates the effects of the finite length between packers on the magnitude of the breakdown pressure in various geological formations. The time-dependent evolving stresses around the wellbore are solved in the framework of time-dependent poroelasticity theory. The breakdown pressure is predicted from the evolution of the circumferential effective stresses. The effects of injection rate, formation properties, borehole diameter and length, and pumping duration on the breakdown pressure are presented in the form of engineering charts, for representative in-situ stress.
Optimization of Exploration Prospects Based on Ant Colony Algorithm and XGBoost Combined Optimization Model
Authors: Song Mengxin , Xu Bingxin , Feng Mei , Fu Xinxi 
Published: December 2021

Abstract
Traditional exploration prospect optimization is uncertain due to human factor, the primary reason of that problem is the complex nonlinear relationship between trap quality and related geological factors. Some researchers proposed use artificial neural network (ANN) to solve the problem of the comprehensive geological evaluation of traps, because ANN can describe the nonlinear relationship of multiple geological factors. Considering ANN has some drawbacks, such as it is need lots of parameters for training, and the learning process can not be observed. In this paper we proposed a combined optimization model to accomplish optimization of exploration prospects, and express the affinity order between the prospects and its related geological factors, also can provide the data support for exploration.
Based on trap data of an oilfield in Africa, there are 12 geological factors related to trap quality, including trap coefficient, trap depth, trap scale, trap area, Reservoir coefficient, Preservation coefficient, hydrocarbon source coefficient, resources etc.. The ant colony algorithm is used for feature selection, and irrelevant and redundant features are eliminated through multiple iterations, making it suitable for model processing and improving training speed. Based on ant colony algorithm, we get the key parameters for XGBoost model training, namely trap area, reservoir coefficient, preservation coefficient, resource, and the key features are used in XGBoost model for training and prediction. Finally, we compared our prediction results with expert prediction, the error is 0.
In this paper, we proposed a combined optimization model based on ant colony algorithm and XGBoost for exploration prospect optimization. We recognized the key geological factors and different characteristic rules for exploration prospect optimization, in the process of optimization, ant colony discards the bad features that interfere with classification and recognition, and retains the features that contribute greatly to classification. In comprehensive geological evaluate of trap, the proposed combined optimization model is suitable for complicated nonlinear geological relationship, and express the affinity order between the prospects, the proposed method can work as an auxiliary way in petroleum exploration, also the proposed method can provide decision support for exploration prospect optimization, and finally can fulfill cost decreasing and benefit increasing.
Adaptation Insights from Comparative Transcriptome Analysis of Two Opisthopappus Species in the Taihang Mountains
Authors: Chen Ning , Zhang Hao , Zang En , Liu Zhi-Xia , Lan Ya-Fei , Hao Wei-Li , He Shan , Fan Xing , Sun Gen-Lou , Wang Yi-Ling 
Published: December 2021

Abstract
Opisthopappus is a major wild source of Asteraceae with good cold and drought resistance. Two species of this genus (Opisthopappus taihangensis and Opisthopappus longilobus) have been employed as model systems to address the evolutionary history of perennial herb biomes in the Taihang Mountains of China. However, further studies on the adaptive divergence processes of these two species are currently impeded by the lack of genomic resources. To elucidate the molecular mechanisms involved, a comparative analysis of these two species was conducted. Among the identified transcription factors, the bHLH members were most prevalent, which exhibited significantly different expression levels in the terpenoid metabolic pathway. O. longilobus revealed a higher expression than did O. taihangensis in terms of terpenes biosynthesis and metabolism, particularly regarding monoterpenoids and diterpenoids. Analyses of the positive selection genes (PSGs) identified from O. taihangensis and O. longilobus, 1203 genes were found that related to adaptative divergence, which were under rapid evolution and/or have signs of positive selection. Different PSG expressions occurred primarily in the mitochondrial electron transport, starch degradation, secondary metabolism, as well as nucleotide synthesis and S-metabolism pathway processes. Two PSGs were obviously differentially expressed in terpenes biosynthesis that might result in the fragrances divergence between O. longilobus and O. taihangensis, which would provide insights as to how the two species adapted to different environments, characterized by sub-humid warm temperate and temperate continental monsoon climates. The comparative analysis for these two species of Opisthopappus not only revealed how the divergence occurred from molecular perspective, but also provided novel insights into how differential adaptations occurred in Taihang Mountains.
Boosting Photocatalytic Efficiency of MoS2/CdS By Modulating Morphology
Authors: Sun Yubing , Xiao Jingting , Huang Xinshui , Mei Peng , Wang Huihui , Sun Yubing 
Published: December 2021

Abstract
With the rapid development of nuclear-related industries in the world, the consequent environmental pollution of radionuclides has become an increasingly serious problem due to the great harm to environmental diversity and human health. The photocatalytic removal of radionuclide on CdS-based photocatalysts has been attracted widely attentions due to the suitable band gap and high photocatalytic efficiency. In this study, approximately 97.5% of U(VI) was photo-catalytically reduced into U(IV) by 2.5 wt% MoS2/CdS composite within 15 min. After 5 cycles, 2.5 wt% MoS2/CdS composite still exhibited the high removal efficiency of U(VI) under 50 min irradiation, indicating the good stability. The findings indicated that CdS-based catalyst has a great potential for the photocatalytic reduction of uranyl in actual environmental remediation.
Clues To Mortality Trends And Their Related Factors In IgG4-Related Disease: A Japanese Single-Center Retrospective Study
Authors: Kawahara Hiroyuki , Mizushima Ichiro , Tsuge Shunsuke , Shin Seung , Yoshinobu Takahiro , Hoshiba Ryohei , Nishioka Ryo , Zoshima Takeshi , Hara Satoshi , Ito Kiyoaki , Kawano Mitsuhiro 
Published: December 2021

Abstract
Background: Few observations on the long-term prognosis have been conducted in immunoglobulin G4-related disease (IgG4-RD) patients with various organ involvement, not limited to autoimmune pancreatitis. Especially, mortality and its related factors in patients with IgG4-RD with various organ involvement are not well known. This study aimed to clarify mortality trends and its related factors in IgG4-RD with various organ involvement.Methods: We retrospectively reviewed the medical records of patients with IgG4-RD at a single center in Japan. We calculated the crude mortality rate and the standardized mortality ratio (SMR) using national Japan mortality statistics and investigated the cause of death. We performed Cox regression analyses to assess mortality-related factors.Results: A total of 179 patients with IgG4-RD were included and the median follow-up from diagnosis was 47 months (IQR 19-96). Ten patients (5.6%) in our cohort died during the follow-up period. The crude mortality rate was 11.1 per 1,000 person-years. According to national Japan mortality statistics, 11.6 age- and sex-matched deaths would have been expected to occur within the follow-up period, resulting in an SMR of 0.86 (95% confidence interval [CI] 0.41-1.59). Univariate Cox regression analyses indicated that the number of affected organs at diagnosis (hazard ratio [HR] 1.45, 95% CI 1.02-2.05), eGFR <45 mL/min/1.73m2 at diagnosis (vs. ≥45, HR 8.48, 95% CI 2.42-29.79), and the presence of malignancy during the clinical course (HR 3.93, 95% CI 1.10-14.02) had a significant impact on the time to death.Conclusions: Our findings suggested that IgG4-RD does not significantly affect long-term patient survival. On the other hand, multi-organ involvement and renal dysfunction as well as malignancy might be associated with higher mortality trends in IgG4-RD. Early detection and appropriate management of risk factors may improve the long-term prognosis of IgG4-RD.
A Cognitive Research on Doctor Metaphor and Doctor-Patient Relationship Metaphor
Authors: Yang Youwen , Jia Xie , Meirongzi Xu 
Published: December 2021

Abstract
From the perspective of "conceptual metaphor" in cognitive linguistics, 11 kinds of doctor metaphors and 6 kinds of doctor-patient relationship metaphors are reached by a tentative study. Based on nearly 300 questionnaires and interviews with 20 doctors and patients, this paper discusses and analyzes: 1) the current situation of doctor-patient relationship; 2) the understanding of "doctor metaphor" and "doctor-patient relationship metaphor" from both perspectives of doctors and patients, and finds out the similarities and differences; 3) the collection of doctor's description of doctor occupation and patient's description of medical experience, and with the combination of 1) and 2), this paper suggests the measures to alleviate the medical disputes. Medical conflict is a perpetual and intricate social issue, which involves doctor, patient, hospital, government and etc. It is not supposed to be solved in a short time, whereas requires the endeavor of generation after generation.