bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experimental Investigation of Oil/Water Emulsion Rheology in Electric Submersible Pump and its Effect on the Pump Head Performance
Authors: Ridlah Muhammad Rasyid , Zhu Haiwen , Zhang Hong-Quan 
Published: October 2021

Abstract
The presence of formation water throughout the oil well production lifetime is inevitable and consequently forming the dispersion or the emulsion due to the immiscibility of those two phases and the strong shear force acting in a rotating ESP. The formation of stable emulsion close to the inversion point will significantly increase the effective viscosity of an emulsion. This paper will present an experimental investigation of emulsion rheology inside the ESP and its effect on ESP performance under various oil viscosities and different water cuts (WC).
Multi stages radial type ESP were assembled into a viscous flow loop which was initially developed by Zhang (2017). Emulsions at each WC formed from different oil viscosities, similar oil density, and surface tension. Multistage ESP was used to circulate oil/water emulsions in a close flow loop. Mass flowmeter measures both mass flow rate and fluid density, and the effective emulsion viscosity derived from an in-line pipe viscometer (PV) which locates downstream of the ESP discharge. The pressure transmitter is occupied in each pump stage to measure the pressure increment. The experiment results present in terms of pump boosting pressure at each water cut and the flow rate delivered by the pump.
A Single-phase oil experiment was run at a different temperature to validate the accuracy of the PV. The data discrepancy of PV's viscosity and rotational viscometer is ±6%. The experiment results captured the emulsion's effective viscosity trend as a function of WC. A significant increase of effective viscosity close to the inversion point was observed, and it occurs due to a higher number of water droplets and hydrogen bonds which lead to an increase in hydrodynamic forces thus generating a tight emulsion. The experiment results reveal that a higher oil viscosity 70 cp reaches an inversion point at 30% - 35% WC. Meanwhile, for lower oil viscosity 45 cp reaches the inversion point at 35% - 40% WC since the turbulence increases with the decrease of oil viscosity. The increasing of effective viscosity in the water-oil emulsion induces higher pressure loss in the pump due to high friction loss, and it deteriorates the pump head. Nevertheless, as the WC increases further, the pump head will advance close to the single-phase water performance since the water turns as the continuous phase. Eventually, we can observe a prudent relationship in the pump performance in the change of emulsions effective viscosity as a function of WC. The inversion point phenomena occur at a different range of WC for different oil viscosity. Therefore, it is vital to set the possible range of operational conditions away from the inversion point. A better understanding of these aforementioned issues will lead to an accurate ESP design for optimum well performance.
Cyclic Production Scheme for High WC and Low-Pressure Wells for Reservoir Management
Authors: Al-Subaiei Dalal , Jamal Mariam , Barki Jassim , Al-Azmi Ibrahim , Al-Husaini Mohammad 
Published: October 2021

Abstract
Lower Burgan (LB) is one of the most mature reservoirs in north Kuwait divided in to 3 layers, first layer under partial depletion drive and suffer from low reservoir pressure, the second layer under edge-partial water drive and the last layer under active water drive. Increasing trend of water production and high GOR has become a big challenge to control the reservoir production, several of studies done to evaluate the best strategy to enhance the reservoir performance.
A comprehensive review of the performance of the wells was conducted to diagnose the specific reason and necessary remedial measures to be adopted. The review included the assessment of the results of the material balance and numerical simulation studies, depletion strategies, wettability/ relative permeability footprints; proximity to the OWC; past completion practices, well integrity and the time lapse PNC/PLT/ Well testing data. Workflows were developed for the sublayers within the hydraulic unit for systematic water cut diagnostics and preventive steps. Identification of suitable technology to address water cut and GOR management was also done.
The typical trend of water cut and GOR performance with time and the depletion strategy was established to add value to the ongoing production activities and well allowable for each hydraulic unit. Rate sensitive performance was analyzed for the integration into the production plans. Cyclic production is identified as one of the new ways to reduce the water production and maintain the production for the wells producing below the bubble point. The concept was tried at high water cut wells successfully to revive the well from about 100% to 87% water cut with a closure cycle for 3 month and sustaining the production for high GOR wells with good ESP performance. In addition, suitable candidates have been identified for Coning Control Completions to weaken the water encroachment into the downhole wellbore. The overall water cut for the reservoir has been stabilized during last one year, thus helping the water handling constraints at the gathering facility.
This paper will discuss the successful approach to control coning and water encroachment for active Bottom and Edge-Water drive layer and how this approached helped to sustain the production on high GOR wells running below bubble point with necessary diagnostics and remedial measures.
Integrated Brownfield Opportunity Identification Using the Efficiency Factor Approach
Authors: Julier Russell , Smalley Craig , Van der Molen Karen , Roeterink Rene 
Published: October 2021

Abstract
The long-term prosperity of oil and gas companies requires a constant influx of new volumes of producible oil and gas that can be developed to replace existing production. Without such activity it is inevitable that production will eventually fall as the resource base is gradually consumed
The attractiveness of achieving more barrels from existing discovered fields has always been strong as it has long been recognized that such opportunities can be economically attractive and rapidly brought to fruition. It is also recognized however that such opportunities may be more complex relying both upon excellent subsurface understanding and successful brownfield project execution. It is therefore not surprising that in many cases actual recovery factors (produced volume/initial in-place volume) in oil and gas fields can be significantly less than what should be technically achievable.
Identification of economically robust brownfield opportunities remains an industry challenge. In this paper we address this challenge by reporting a new workflow for brownfield opportunity identification leading to recovery factor improvement.
Shell's Recovery Factor Improvement (RFI) Workflow was developed to address these issues and builds upon the existing best practice workflows to better explore and define the activities that would be required to achieve top quartile recovery factor performance.
The workflow combines elements of various existing published approaches: (1) Shell's TQ-EUR Tool is an internal database that allows current and forecast recovery factor to be compared with that of analogue reservoirs using a reservoir complexity factor and key reservoir performance parameters as comparison criteria across the Shell portfolio. (2) An efficiency factor-based analysis of recovery factor; (3) a structured workshop to elicit new recovery factor improvement activities by addressing each individual efficiency factor in turn; (4) Consistent reporting of results.
The combination of these approaches creates a powerful workflow to improve brownfield field opportunity identification and maturation.
The RFI Workflow is intended to provide asset teams with a practicable and repeatable process that can be completed without specialist technical support or software to enable the identification of robust new opportunities.
Experience with using the new workflow has demonstrated that it is able to bring new understanding to asset teams, consistently identify new opportunities and highlight common portfolio-wide opportunity types that would benefit from further central technology development funding.
History to Prediction Transition Calibration of Reservoir Simulation Model Ensemble
Authors: Ludvigsen Bjørn Egil , Sharma Mohan 
Published: October 2021

Abstract
Well performance calibration after history matching a reservoir simulation model ensures that the wells give realistic rates during the prediction phase. The calibration involves adjusting well model parameters to match observed production rates at specified backpressure(s). This process is usually very time consuming such that the traditional approaches using one reservoir model with hundreds of high productivity wells would take months to calibrate. The application of uncertainty-centric workflows for reservoir modeling and history matching results in many acceptable matches for phase rates and flowing bottom-hole pressure (BHP). This makes well calibration even more challenging for an ensemble of large number of simulation models, as the existing approaches are not scalable.
It is known that Productivity Index (PI) integrates reservoir and well performance where most of the pressure drop happens in one to two grid blocks around well depending upon the model resolution. A workflow has been setup to fix transition by calibrating PI for each well in a history matched simulation model. Simulation PI can be modified by changing permeability-thickness (Kh), skin, or by applying PI multiplier as a correction. For a history matched ensemble with a range in water-cut and gas-oil ratio, the proposed workflow involves running flowing gradient calculations for a well corresponding to observed THP and simulated rates for different phases to calculate target BHP. A PI Multiplier is then calculated for that well and model that would shift simulation BHP to target BHP as local update to reduce the extent of jump. An ensemble of history matched models with a range in water-cut and gas-oil ratio have a variation in required BHPs unique to each case. With the well calibration performed correctly, the jump observed in rates while switching from history to prediction can be eliminated or significantly reduced. The prediction thus results in reliable rates if wells are run on pressure control and reliable plateau if the wells are run on group control. This reduces the risk of under/over-predicting ultimate hydrocarbon recovery from field and the project's cashflow. Also, this allows running sensitivities to backpressure, tubing design, and other equipment constraints to optimize reservoir performance and facilities design. The proposed workflow, which dynamically couple reservoir simulation and well performance modeling, takes a few seconds to run for a well, making it fit-for-purpose for a large ensemble of simulation models with a large number of wells.
Evaluation of Machine Learning Methods for Prediction of Multiphase Production Rates
Authors: Gryzlov Anton , Mironova Liliya , Safonov Sergey , Arsalan Muhammad 
Published: October 2021

AbstractMultiphase flow metering is an important tool for production monitoring and optimization. Although there are many technologies available on the market, the existing multiphase meters are only accurate to a certain extend and generally are expensive to purchase and maintain.Virtual flow metering (VFM) is a low-cost alternative to conventional production monitoring tools, which relies on mathematical modelling rather than the use of hardware instrumentation. Supported by the availability of the data from different sensors and production history, the development of different virtual flow metering systems has become a focal point for many companies.This paper discusses the importance of flow modelling for virtual flow metering. In addition, main data-driven algorithms are introduced for the analysis of several dynamic production data sets. Artificial Neural Networks (ANN) together with advanced machine learning methods such as GRU and XGBoost have been considered as possible candidates for virtual flow metering. The obtained results indicate that the machine learning algorithms estimate oil, gas and water rates with acceptable accuracy. The feasibility of the data-driven virtual metering approach for continuous production monitoring purposes has been demonstrated via a series of simulation-based cases. Amongst the used algorithms the deep learning methods provided the most accurate results combined with reasonable time for model training.
Successful Application of Honey-Bee Optimization Technique in Reservoir Engineering Assisted History Matching: Case Study
Authors: Shams Mohamed 
Published: October 2021

Abstract
This paper provides the field application of the bee colony optimization algorithm in assisting the history match of a real reservoir simulation model. Bee colony optimization algorithm is an optimization technique inspired by the natural optimization behavior shown by honeybees during searching for food. The way that honeybees search for food sources in the vicinity of their nest inspired computer science researchers to utilize and apply same principles to create optimization models and techniques.
In this work the bee colony optimization mechanism is used as the optimization algorithm in the assisted the history matching workflow applied to a reservoir simulation model of WD-X field producing since 2004. The resultant history matched model is compared with with those obtained using one the most widely applied commercial AHM software tool.
The results of this work indicate that using the bee colony algorithm as the optimization technique in the assisted history matching workflow provides noticeable enhancement in terms of match quality and time required to achieve a reasonable match.
A Geometry-Based Deep Learning Feature Extraction Scheme for Airfoils
Authors: Xiang Yu , Hu Liwei , Zhang Jun , Wang Wenyong 
Published: October 2021

Abstract
The perception of geometry-features of airfoils is the basis in aerodynamic area for performance prediction, parameterization, aircraft inverse design, etc. There are three approaches to percept the geometric shape of an airfoil, namely manual design of airfoil geometry parameter, polynomial definition and deep learning. The first two methods can directly extract geometry-features of airfoils or polynomial equations of airfoil curves, but the number of features extracted is limited. While deep learning algorithms can extract a large number of potential features (called latent features), however, the features extracted by deep learning are lacking of explicit geometrical meaning. Motivated by the advantages of polynomial definition and deep learning, we propose a geometry-based deep learning feature extraction scheme (named Bézier-based feature extraction, BFE) for airfoils, which consists of two parts: manifold metric feature extraction and geometry-feature fusion encoder (GF encoder). Manifold metric feature extraction, with the help of the Bézier curve, captures features from tangent space of airfoil curves, and GF encoder combines airfoil coordinate data and manifold metrics together to form a novel feature representation. A public UIUC airfoil dataset is used to verify the proposed BFE. Compared with classic Auto-Encoder, the mean square error (MSE) of BFE is reduced by 17.97% ~29.14%.
SASTRA ANAK SEBAGAI MEDIA PENGENALAN NILAI SOSIAL DI MASA PANDEMI
Authors: Zulfa Lilis Anifiah , Ekafebriyanti Valentina 
Published: October 2021

Abstract
Children's literature is literature that is made by children or adults and is aimed at children. The use of light sentences in children's literature makes it easier for children's literature to be absorbed and accepted by children. In children's literature there are also many social values ​​such as cooperation, love to help, love, like to pray for others, and say the words please and thank you. Children's literature can be used as a medium for the introduction of social values ​​because apart from being easy to convey, children's literature is very interesting to discuss with children. Social values ​​in children's literature can be used as learning and later applied by children in their lives. This article aims to introduce social values ​​through the medium of children's literature.
PEMBELAJARAN MENULIS PUISI DENGAN MENGGUNAKAN TEKNIK PEMODELAN
Authors: Rahmayantis Marista Dwi , Nurlailiyah Nurlailiyah 
Published: October 2021

Abstract
Writing poetry is an activity to develop literary skills that requires a creative thinking process. Through writing poetry activities, students will be able to develop ideas, feelings, and thoughts to produce beautiful language symbols. Writing poetry is included in creative writing. In writing poetry, one cannot immediately write poetry but must go through several processes, one of which is continuous learning. One of the techniques used in learning to write new poetry is modeling techniques. This technique was chosen to assist students in learning to write poetry by using models in the form of poetry texts. With the existence of models and examples that can be imitated, it will be a new innovation in learning poetry and can help overcome students' difficulties in writing poetry.
Keywords: learning to write; poetry; modeling techniques
Prediabetes. A new paradigm for early prevention of cardiovascular disease
Authors: Demidova T. Y. , Plakhotnyaya V. M. 
Published: October 2021

This literature review focuses on the association of prediabetes with cardiovascular disease (CVD). Recently, much attention has been paid to the study of prediabetes due to its extremely high prevalence and strong association with a high risk of developing serious complications that worsen the quality of kife of patients. Prediabetes is not only a metabolic condition with a high risk of developing type 2 diabetes mellitus (T2DM), but also CVD and death from all causes. This association is true for both patients who do not yet have CVD and those with a history of CVD. Also during the COVID-19 pandemic, attention is drawn to the fact that people with prediabetes have a higher risk of a severe course of infection, complications and a worse prognosis of the disease. This is associated with hyperglycemia, the presence of chronic systemic inflammation of a low degree of activity, impaired immune response mechanisms and a procoagulant state in patients with prediabetes, although these disorders are less developed than in patients with T2DM. Therefore, early screening of early disorders of normal metabolism. Since active early intervention at the stage of prediabetes helps to prevent the development of type 2 diabetes and CVD.
The recovery of endothelial function in novel coronavirus infection COVID-19 (review)
Authors: Roitman E. V. 
Published: October 2021

Endothelial dysfunction is a valued part in the pathogenesis of many diseases and conditions including the active phase of COVID-19 and postcovid syndrome. The review presents both the viral and autoimmune pathways for endothelial and glycocalyx lesions and the clinical impacts of such a lesion in comorbid patients. Both endothelium and glycocalyx affected by the SARS-CoV-2 virus are considered as the main goal for therapy in outpatient patients and patients with postcovid syndrome. The glycosaminoglycans belonged natural components of vascular wall seem appropriate pathogenetically in order to recovery the endothelial barrier. The review demonstrates the advantages and limitations of using sulodexide in patients with COVID-19. This article presents a clinical case of a patient with confirmed COVID-19 of moderate severity, with the presence of risk factors for thrombosis, who developed a post-covid syndrome, a heterogeneous symptom complex that developed after the acute phase of COVID-19 infection. The post-covid period was marked by symptoms of rapid fatigue, tachycardia, shortness of breath. By day 25-26, itching and red rash appeared, and there was moderate swelling of the shins and feet of both lower extremities. Taking into account the clinical picture and laboratory findings, a decision was made to cancel the previously prescribed low-molecularweight heparin and prescribe sulodexide at a dose of 500 LU 2 times a day for a course of 28 days. On the 4th-5th day after the start of treatment there was a decrease in the area of skin rash, cessation of itching, almost complete disappearance of the cutaneous vascular pattern and reduction in the severity of edema. This clinical case demonstrates endothelial damage caused by COVID-19, which makes it advisable to use angioprotective drugs.
Haitians’ willingness to invest in rainwater infrastructure
Authors: François Mathurin , Petit-Homme Marc Arthur , Cohim Eduardo , Orrico Sílvio Roberto Magalhães , Mariano-Neto Eduardo 
Published: October 2021

Abstract
The use of rainwater is a reliable alternative for reducing clean water consumption and water bills. This study assessed the willingness of Haitians to invest in rainwater infrastructure (RWI). A questionnaire with closed and open-ended questions was used for this purpose. For closed-ended questions, ‘0’ and ‘1’ were used for negative and positive answers, respectively. Other numbers were used to encode the open-ended questions. The two-tailed Z-test was used to compare two proportions, where a result was statistically significant when the p-value was less than 0.05. Of 362 rainwater users, 81.2% used it for washing, bathing, cooking, flushing, and drinking. Approximately 73.4% of households with 1–3 people, compared with 84.0% of families with 4–6 people, used rainwater. Of all the respondents, 82.3% would invest in RWI if the government agreed to finance up to 50.0% of the project. More than 73.0% of respondents in each locality would invest in rainwater in RWI under the conditions previously mentioned. It is concluded that the implementation of RWI and decentralization of water systems would be welcomed by the rainwater users in Haiti, but the unwillingness of the Haitian government could be the main barrier to such a transition.
Hen feather: a bio-waste material for adsorptive removal of methyl red dye from aqueous solutions
Authors: Zaman Samina , Mehrab Md. Nayeem , Islam Md. Shahnul , Ghosh Gopal Chandra , Chakraborty Tapos Kumar 
Published: October 2021

Abstract
This study investigates the potential applicability of hen feather (HF) to remove methyl red (MR) dye from aqueous solution with the variation of experimental conditions: contact time (1–180 min), pH (4–8), initial dye concentration (5–50 mg/L) and adsorbent dose (3–25 g/L). Scanning electron microscopy (SEM) and Fourier transform infrared spectroscopy (FTIR) evaluate the surface morphology and chemistry of HF, respectively. The maximum removal of MR by HF was 92% when the optimum conditions were initial MR dye concentration 5 mg/L, pH 4, adsorbent dose 7 g/L and 90 min equilibrium contact time. Langmuir isotherm (R2 = 0.98) was more suited than Freundlich isotherm (R2 = 0.96) for experimental data, and the highest monolayer adsorption capacity was 6.02 mg/g. The kinetics adsorption data fitted well to pseudo-second-order model (R2 = 0.999) and more than one process was involved during the adsorption mechanism but film diffusion was the potential rate-controlling step. The findings of the study show that HF is a very effective and low-cost adsorbent for removing MR dye from aqueous solutions.