bluuebunny/crossref_metadata_2025_split huggingface dataset:
ОБОСНОВАНИЕ ПРОГНОЗНОЙ ВЕЛИЧИНЫ ПРИРОСТА ДЕБИТА НЕФТИ ПОСЛЕ ПРИМЕНЕНИЯ ГТМ С ПОМОЩЬЮ СТАТИСТИЧЕСКОГО МЕТОДА
Authors: Галкин Владислав Игнатьевич , Колтырин Артур Николаевич 
Published: February 2023

Ссылка для цитирования: Галкин В.И., Колтырин А.Н. Обоснование прогнозной величины прироста дебита нефти после применения ГТМ с помощью статистического метода // Известия Томского политехнического университета. Инжиниринг георесурсов. – 2023. – Т. 334. – № 2. – С. 81-86.
Актуальность. Большинство месторождений ООО «ЛУКОЙЛ-ПЕРМЬ» находятся на завершающей стадии разработки, и на них выполняется большое количество геолого-технических мероприятий. В условиях высокой выработки запасов, обводнения скважин и снижения пластового давления необходимо обосновывать плановые показатели после геолого-технических мероприятий на новом уровне. Цель: разработка алгоритма определения оптимальный величины прироста дебита нефти по технологиям интенсификации. Объекты: данные по использованию геолого-технических мероприятий; пропантного ГРП, радиального бурения и кислотных обработок на карбонатном В3В4 объекте Батырбайского месторождения. Методы: анализ данных по оценке эффективности геолого-технических мероприятий: пропантного ГРП радиального бурения и кислотных обработок с помощью использования регрессионного анализа. Результаты. Предложен алгоритм определения оптимальный величины прироста дебита нефти по технологиям интенсификации с помощью регрессионного анализа. Рассчитана комплексная вероятность по геолого-техническим мероприятиям: радиальное бурение, кислотная обработка и гидравлический разрыв пласта. По построенным распределениям комплексной вероятности удалось определить граничные условия применения технологий, тем самым подтвердить экономическую составляющую в обосновании приростов дебитов нефти. При сопоставлении эффективности нескольких технологий удалось определить наиболее перспективную для карбонатного объекта. Выполнен анализ свободных членов комплексных вероятностей технологий регрессионных уравнений. На каждом диапазоне приростов дебитов нефти принимает участие комплексная вероятность по определенной технологии. Изменение характера распределения значений коэффициентов позволило выявить площадное распространение эффективности. Таким образом, предложенный алгоритм позволил не только статистически обосновать оптимальную величину прироста дебита нефти для объекта разработки, но и оценить эффективность каждой технологии и построить схему прогноза эффективности.
АНАЛИЗ ДИАПАЗОНОВ ПОВЫШЕНИЯ ЭНЕРГОЭФФЕКТИВНОСТИ ГАЗОВОГО ИНФРАКРАСНОГО ИЗЛУЧАТЕЛЯ
Authors: Борисов Борис Владимирович , Вяткин Александр Витальевич , Максимов Вячеслав Иванович , Нагорнова Татьяна Александровна , Салагаев Семен Олегович 
Published: February 2023

Ссылка для цитирования: Анализ диапазонов повышения энергоэффективности газового инфракрасного излучателя / Б.В. Борисов, А.В. Вяткин, В.И. Максимов, Т.А. Нагорнова, С.О. Салагаев // Известия Томского политехнического университета. Инжиниринг георесурсов. – 2023. – Т. 334. – № 2. – С. 70-80.
Актуальность. Статья посвящена анализу систем обогрева помещений с использованием газового инфракрасного излучателя светлого типа. Для эффективного использования данных систем формулируются соответствующие рекомендации по их применению. Для чего проводится математический анализ динамики изменения во времени осредненных значений температур по объему помещения, по объему ограждающих конструкций (пол, потолок, стены), по объему локальной зоны, образованной временными ограждающими конструкциями (ширмами). Анализируется температурный режим локальной зоны, образованной временными ограждающими конструкциями в виде ширм. Определяются максимальные значения температур осредненных температур помещения и локальной зоны при различных режимах использования лучистого потока теплоты. Цель: проанализировать методы и диапазоны повышения энергоэффективности систем отопления с использованием газового инфракрасного излучателя светлого типа. Объект: система отопления с использованием газового инфракрасного излучателя светлого типа. Методы: математическая модель процесса с использованием осредненных значений температур по объему помещения, по объему ограждающих конструкций (пол, потолок, стены), экспериментальное определение температурного поля, математическое моделирование на основе плоского двухмерного подхода. Результаты. Приводятся результаты расчетов динамики изменения осредненных значений температур воздуха помещения, ограждающих конструкций и воздуха локальной зоны, максимальных значений температур и динамики изменения во времени тепловых потоков, участвующих в процессе нагрева помещения. Приводится сравнительный анализ расчетов средней температуры помещения с экспериментальными измерениями температур и численным моделированием в плоской двухмерной постановке. По результатам анализа формулируются предложения для повышения энергоэффективности систем отопления на основе газового инфракрасного излучателя.
SIMULAÇÃO DE UM SISTEMA SOLAR COMBINADO EM UM HOSPITAL LOCALIZADO NO SEMIÁRIDO DO NORDESTE BRASILEIRO
Authors: Santos Correia de Melo Diego , Souza Almeida Antonio Gabriel 
Published: February 2023

A energia solar é um recurso renovável e de alta disponibilidade. Com a crescente crise energética e os impactos ambientais causados pela emissão de gases do efeito estufa, a sua utilização se torna cada vez mais importante. A região Nordeste do Brasil, principalmente no semiárido, apresenta o mais elevado nível de irradiação solar do país e pouca nebulosidade, características vantajosas para sistemas com base nesse recurso. Apesar disso, a região sofre com altas temperaturas e crise hídrica, o que afeta o conforto térmico das pessoas e a geração de eletricidade, fazendo do Nordeste referência para aplicação de sistemas de poligeração. Utilizando simulação computacional, este estudo analisa a viabilidade de um sistema de geração combinada, climatização e eletricidade com energia solar, como fonte única, realizando um projeto piloto para instalação desse tipo de sistema em um hospital na cidade de Buritirama, no sertão baiano. O estudo desenvolvido demonstra viabilidade técnica para utilização do sistema, com ambas as demandas energéticas sendo totalmente fornecidas apenas por fonte solar, produzindo 145,6 MWh/a para o sistema térmico 53,49 MWh/a para o fotovoltaico, ambos acima da demanda.
Implementasi Struktur Aljabar Dalam Persilangan Golongan Darah
Authors: Agusfrianto Fakhry Asad , Yanti Gusti Ayu Dwi , Dau Irnawati 
Published: February 2023

Dalam kajian struktur aljabar, objek dasar matematika yaitu himpunan dapat diberikan struktur abstrak seperti grup atau ring. Dalam paper ini akan dikaji struktur aljabar yang terdapat pada persilangan antara dua individu dengan golongan darah dengan sistem ABO, Rhesus, dan MN.
ENVIRONMENTAL, SOCIAL, GOVERNANCE INVESTING, COVID-19, AND CORPORATE PERFORMANCE IN MUSLIM COUNTRIES
Authors: Tekin Hasan , Güçlü Fatih 
Published: February 2023

We examine the impact of Environment, Social, and Governance–ESG investing on corporate performance of non-financial firms in Muslim countries during the pandemic. Employing the random effect panel model with 1,546 firm-year observations, we find that the ESG combined score and its pillars have significant influence on corporate performance during the COVID-19 period. Namely, the performance of firms with higher ESG is relatively less affected as compared to the performance of firms with lower ESG. We also note that firms in Malaysia and the United Arab Emirates with high ESG have better operational (financial) performance. Finally, from the sectorial perspective, health care and energy (consumer staples) firms with higher ESG have higher operational (financial) performance during the pandemic.
Study Evaluates Surfactant EOR From Tight Carbonates
Authors: Carpenter Chris 
Published: February 2023

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 209418, “Surfactant Enhanced Oil Recovery From Tight Carbonates: Core-Scale Experiments to Reservoir-Scale Modeling,” by Yue Shi, SPE, and Kishore Mohanty, SPE, The University of Texas at Austin. The paper has not been peer reviewed.

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Most carbonate reservoirs are oil-wet/mixed-wet and heterogeneous at multiple scales. The majority of the injected water flows through the high-permeability regions and fractures and bypasses the oil in the matrix because of high negative capillary pressure (Pc). To enhance oil recovery from such reservoirs, the sign of the Pc should be changed by wettability alteration (WA) or the Pc should be reduced by lowering interfacial tension (IFT). In the complete paper, surfactants that can either alter wettability or develop ultralow IFT were identified through laboratory measurements for the target carbonate reservoir.

Introduction
Contact-angle, IFT, phase-behavior, and imbibition tests were first performed, and surfactants that can either alter wettability or develop ultralow IFT were identified. Then, a laboratory-scale imbibition model was built with commercial reservoir simulation software. A sensitivity study was performed to evaluate the effects of residual oil saturation (Sor), alteration of Pc and relative permeability (Kr), IFT, and matrix scale on oil recovery by surfactant. Next, the laboratory-scale imbibition model was used to history match the experimental data and parameters were tuned for reservoir-scale simulation. Finally, a 3D layered field-scale model was developed to study the performance of the selected surfactants in injection/soak/production (ISP) tests.

Materials
Eight anionic surfactants (An 1 through An 8) and two quaternary ammonium cationic surfactants (Cat 1 and 2) were used. Silurian dolomite (SD) outcrop cores were used in this study. Fluid samples were obtained from a West Texas dolomite-rich reservoir. The oil has a density of 0.84 g/mL at 25°C and a viscosity of 7.46 cp at reservoir temperature (35°C). It has an acid number of 0.25 mg KOH/g and a base number of 1.0 mg KOH/g. The reservoir has been waterflooded for years, and total dissolved solids of brine has decreased from 112,668 to 40,393 ppm for recent produced water (PW). The authors detail the methodology for aqueous-stability, contact-angle-measurement, IFT-measurement, phase-behavior, and spontaneous-imbibition tests in the complete paper.
Technology Focus: Well Integrity (January 2023)
Authors: Dhawan Sandeep 
Published: February 2023

Moving into 2023, perhaps it will be safe to say that the era of the low-carbon energy mix has begun as the primary energy production landscape is changing fast. Until now, fossils fuels have dominated, and may still for the next few years dominate, the energy mix; however, a shift is taking place that will gain momentum, driven by global efforts toward addressing climate-change challenges and the large cost to human health caused by fossil fuels. Several cleaner energy solutions such as renewables are expanding global footprints. Some of these mix options require wells similar to those for oil and gas but with convoluted integrity challenges. This means that in the future, well integrity will become even more important and will continue to be part of the energy-mix solution. It is time to double down on how we, as part of the energy-mix industry, understand the many aspects of well integrity.
Repurposing of existing oil and gas wells for carbon storage driven by cost optimization currently is under discussion in many parts of the world. While this makes sense commercially, it is critical to assess the in-situ state and, more importantly, the suitability of the existing flow-wet well barriers’ metallurgy for repurposing because failure conditions and risk envelopes change. A holistic review of flow-wet material conformance for repurposing is currently a subject of low focus, but due diligence on a case-by-case basis is imperative lest these wells present well-integrity issues with consequences when operational.
As the well-integrity role grows, well surveillance and complete monitoring with artificial intelligence also will play a crucial role in the journey ahead.
Recommended additional reading at OnePetro: www.onepetro.org.
IPTC 21472 Features, Events, and Processes-Based Model Development for Assessing Well-Integrity Risk Related to CO2 Storage in Central Luconia Gas Fields in Sarawak by Parimal A. Patil, Petronas, et al.
Technology Focus: Digital Data Acquisition (January 2023)
Authors: Asarpota Jyotsna 
Published: February 2023

With the rise of machine learning and other artificial intelligence methods, the ability to digest data for potential application in the petroleum industry has increased tremendously. Data is seen as the key to reducing uncertainty in decisions for this capital‑intensive industry where the costs of bad or delayed decisions are huge. Thus, the right data delivered at the right time can revolutionize the industry and save precious time and money.
Gaining insights from digital data in the highly technical exploration and production industry requires experience, knowledge, and awareness about the acquisition of the data. The technologies presented here aim to facilitate the decision‑making process while requiring less time and lower costs without sacrificing the accuracy of the data and still decreasing the probability of human errors. They show how data collected from different vantage points can be integrated with conventional data‑acquisition methods to help visualize and reduce the uncertainty of the subsurface.
Developments in other industries in automation and electronics have enabled modernization and miniaturization of oilfield instruments. Our industry seeks ideas and methods that are reliable, convenient, and practical to inform and guide operations, filling the gaps where and when conventional data is not available.
Recommended additional reading at OnePetro: www.onepetro.org.
OTC 31327 Density Measurement of Three-Phase Flows Inside Vertical Piping Using Planar Laser-Induced Fluorescence by Amy Brooke McCleney, Southwest Research Institute, et al.
OTC 31836 Subsea Multiphase Flowmeter Measurement Performance Assurance With an Applied Data Validation and Reconciliation Surveillance Methodology by Emmelyn Graham, BP, et al.
SPE 208712 IADC Code Upgrade: Data Collection and Work Flow Required To Conduct Bit Forensics and Create Effective Changes in Practices or Design by William Watson, Shell, et al.
Real-Time Fiber-Optics Solution Opens Door to the Wellbore Environment
Authors: Carpenter Chris 
Published: February 2023

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 209540, “Real-Time Fiber Optics: A Door Opener for the Wellbore Environment,” by Håkon S. Bakka, SPE, Stefan Dümmong, and Kjetil E. Haavik, SPE, Equinor, et al. The paper has not been peer reviewed.

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For the Johan Sverdrup asset, Equinor has developed a data-streaming solution that allows for real-time processing and interpretation of fiber-optic (FO) data. In its current state, it processes approximately 500 TB of data each week, with insights made accessible to the end user through a web-based front-end platform. In the complete paper, the authors illustrate the benefits of this system and how it can provide improved understanding of well conditions and processes.

The FO System
The FO system consists of three main components. The first is the FO-acquisition system, which is delivered by the distributed acoustic sensing (DAS) and distributed temperature sensing (DTS) vendors. These FO interrogators deliver data in a streaming format, allowing for continuous data transfer to the second component, the high-performance processing cluster. This cluster transforms the high-bandwidth FO data into lower-bandwidth FO feature data. The lower-bandwidth data then is transferred to the operator’s cloud solution, which makes data available for analysis. In its current state, the system experiences delays of only 2–3 seconds from data acquisition to FO features being made available for analysis in the cloud platform.
One of the novelties of the system design is its flexibility. Because the components are distinct and only interact through application programming interfaces, they can be interchanged based on different use cases. DAS and DTS interrogators have different qualities, so, for example, these can be swapped based on needs; because processing requirements will be based on incoming data specifications, these also can be adapted. This result is a system that can be tailored to the requirements of specific monitoring applications.

Examples of Real-Time Analysis
The complete paper presents examples that show the varied applicability of real-time FO data to tasks including the following:
- Wellbore cleanup and fluid tracking
- Well-intervention-tool tracking and monitoring
- Gas-lift-valve (GLV) leak detection
- Fluid-phase distinction
- Overburden monitoring
This synopsis will include discussions of the first three of these applications.
Imbalanced Working States Recognition of Sucker Rod Well Dynamometer Cards Based on Data Generation and Diversity Augmentation
Authors: Yin Chengzhe , Zhang Kai , Zhang Liming , Wang Zhenpeng , Liu Piyang , Zhang Huaqing , Yang Yongfei , Yao Jun 
Published: February 2023

Summary
During sucker rod pump production, there is a commonly seen problem of class imbalance, which refers to the differences in the amount of data accumulated under different working conditions. This problem in rod pump diagnosis can lead to unsatisfactory classification results of surface dynamometer cards under working conditions with fewer samples. Therefore, this study adopts the conditional generative adversarial nets (CGANs) improved by mini-batch method to address the problem of class imbalance. CGAN is an efficient method of multiclass data generation, which learns the properties of dynamometer cards by training the generator and discriminator networks. CGAN is modified by mini-batch strategy to avoid mode collapse and enable the interaction among input samples of discriminator, so that the generated dynamometer cards can be much more diverse. Results show that the shapes of generated dynamometer cards are basically consistent with those of real samples, and the structural similarity (SSIM) among the generated samples decreases, indicating that the generated dynamometer cards have more types of shape. Meanwhile, as the generated dynamometer cards become more diverse, their differences with real samples in data distribution are reduced, according to the calculation of sliced Wasserstein (SW) distance. Based on real and generated dynamometer cards, we developed the classifiers for working condition diagnosis of rod pump through convolutional neural network (CNN). The classification results of the validation set indicate that without the mini-batch method, the recall of generated categories for pump hitting down and leakage has increased by 12 and 5.3%, respectively; in contrast, with the mini-batch method, the recall has increased more obviously by 7, 24, and 2%, respectively, for gas lock, pump hitting down, and leakage. Our research results have demonstrated that the proposed method can effectively solve the problem of insufficient data accumulation in the oil field.
Methicillin Resistant Staphylococcus Aureus Contamination on Physiotherapy Equipment Used in Selected Tertiary and Private Hospitals in Anambra State, Nigeria
Authors: Akobundu Uzoamaka Nwakego , Otuo Banner Ofonime , Akosile Christopher Olusanja , Okonkwo Uchenna Prosper , Ihegihu Ebere Yvonne , Ochiabuto Ogochukwu Barbara , Chukwuemeka Uchechukwu Martha 
Published: February 2023

Abstract

Background: Methicillin-resistant Staphylococcus aureus (MRSA) refers to a group of Gram-positive bacteria that are genetically distinct from other strains of Staphylococcus aureus.
Aims / Objectives: The aim of this study was to determine the prevalence of Methicillin resistant staphylococcus aureus bacterial contaminations on physiotherapy equipment in selected hospitals in Anambra State, Nigeria.
Methods: This study is a cross-sectional study. A total of Sixty-eight (68) swab samples were collected from four physiotherapy departments, two private and two tertiary hospitals. The study population is made up of 14 equipment from private hospital A, 20 from tertiary hospital B, 20 from private hospital C and 14 from tertiary hospital D.
Results: The Methicillin-Resistant staphylococcus auerus contamination of electrotherapy equipment was found to have a high prevalence rate of 5(38.5%) in hospital C and D while hospital A and B shows no prevalence. Exercise therapy equipment also had a higher infection contamination and prevalence rate of 22 (36.8%) in all the hospitals, diagnostic equipment had a prevalence rate of 2(16.7%) in hospital A and hospital D while hospital B and C had no prevalence. Orthotic equipment had a prevalence rate of 1(100%) in hospital C and none in other hospitals. Walking aids showed a low prevalence rate of 1(16.7% in hospital C and none in hospital.
Conclusions: Physiotherapy departments have a high risk of compromising patients’ safety through spreading infections via physiotherapy modalities.
The Prognostic Value of Prognostic Nutritional Index in Patients With Advanced or Metastatic Gastric Cancer Treated With Immunotherapy
Authors: Pan Yuting , Dai Guanghai 
Published: February 2023

Abstract
Background
In recent years, the therapeutic effect of monoclonal antibody against programmed cell death protein-1 (PD-1) monotherapy or combined chemotherapy in patients with locally advanced or metastatic gastric or gastroesophageal junction (G/GEJ) cancer has been confirmed by many studies. A number of clinical studies of anti-PD-1 antibody combined with chemotherapy in the perioperative treatment of locally advanced and resectable G/GEJ cancer are underway. The exploration and discovery of new biomarker combinations based on tumor characteristics and tumor microenvironment, especially tumor immune microenvironment, are helpful to screen superior patients and realize precise immunotherapy.
Methods
We selected 268 consecutive AGC patients who were treated with ICI therapy from December 2014 to May 2021. We measured their pretreatment the prognostic nutritional index (PNI) levels and performed univariate and multivariate Cox regression analyses of progression-free survival (PFS) or overall survival (OS) after ICI therapy.
Results
The low pretreatment PNI level of AGC patients was significantly correlated with shorter PFS (P<0.001) and OS (P<0.001) after ICI treatment. In univariate and multivariate analyses of the associations between neutrophil lymphocyte ratio (NLR), lymphocyte to monocyte ratio (LMR) or PNI, and OS or PFS, PNI (HR=1.483; 95% CI, 1.129-1.947; P=0.005) and NLR (HR=1.531; 95% CI, 1.164-2.014; P=0.002), but not LMR (HR=1.130; 95% CI, 0.829-1.538;P=0.440) are independent prognostic factors for PFS. Moreover, PNI (HR=1.385; 95% CI, 1.004-1.911; P=0.048) and LMR (HR=1.433; 95% CI, 1.039-1.977; P=0.028), but not NLR (HR=1.277; 95% CI, 0.896-1.820; P=0.176) are independent prognostic factors for OS.
Conclusion
The pretreatment PNI might help to identify AGC patients who will obtain a survival benefit from ICI therapy. The low pretreatment PNI is related to unsatisfactory survival outcomes.