bluuebunny/crossref_metadata_2025_split huggingface dataset:
Data Driven Modelling to Predict Poisson's Ratio and Maximum Horizontal Stress
Authors: Shreif Mariam , Kalam Shams , Khan Mohammad Rasheed 
Published: February 2023

AbstractDuring the design phase of oil and gas well drilling plans, predicting geomechanical parameters is an indispensable job. Accurate estimation of the Poisson's ratio and the maximum horizontal stress is essential where inaccurate estimation may result in wellbore instability and casing collapse increasing the drilling cost. Obtaining mechanical rock properties using mechanical tests on cores is expensive and time-consuming. Machine learning algorithms may be utilized to get a reliable estimate for Poisson's ratio and the maximum horizontal stress. This research aims to estimate the static Poisson's ratio and the maximum horizontal stress based on influencing factors from well-log input data through an Extreme gradient boosting algorithm (XGBoost). In addition, the XGBoost model was also compared with Random Forest.A real data set comprised of 22,325 data points was collected from the literature representing influencing variables which are compressional wave velocity, share wave velocity, bulk density, and pore pressure. The data set was split into 70% for training, and 30% for testing the model. XGBoost and random forest were used for training and testing the model. Mean absolute percentage error (MAPE), root mean squared error (RMSE), and coefficient of determination (R2) were assessed in the error metrics to obtain the optimum model. XGBoost and random forest were implemented using the k-fold cross-validation method integrated with grid search.The proposed XGBoost model shows an effective correlation between the geomechanical parameters (static Poisson's ratio and the maximum horizontal stress) with the input variables. The performance of the XGBoost model was found better than that of the random forest. The evaluation estimates more than 90% of R2 and approximately 4% of MAPE for the training and testing data.The key contribution of this work is the proposal of an intelligent model that estimates the geomechanical parameters without the need for destructive mechanical core testing. A reliable XGBoost model to predict the static Poisson's ratio and the maximum horizontal stress will allow improved wellbore stability analysis which significantly introduces efficiency gains.
Seismic Driven Machine Learning to Improve Precision and Accelerate Screening Shallow Gas Potentials in Tunu Shallow Gas Zone, Mahakam Delta, Indonesia
Authors: Herbet Ronald , Hibatullah Muhammad Irsyad , Restiadi Depi , M.Adam Cepi , Satria Andrean , Rusady Taufan , Mordekhai Mordekhai , Ummah Khairul 
Published: February 2023

AbstractTunu Shallow Zone (TSZ) is one of producing zone in Tunu Field. Tunu Field is a giant gas field located in the present-day Mahakam Delta, East Kalimantan, Indonesia. The gas reservoirs are scattered along the Tunu Shallow Zone and correspond with fluvio-deltaic series and main lithologies are shale, sand and coal layes. The development of TSZ heavily relies on seismic to access and identify gas sand reservoirs as drilling targets.Anomaly seismic is correspond with the gas sand reservoirs, however with the conventional use of seismic that is difficult for differentiating the gas sands from the coal layers. We established Tunu reliable technology which is comprised four different analyses on stacks, CDP Gathers, AVA/AVO, and litho-seismic cube. We are hit high success rate in identifying gas but requires a lot of time to assess the prospect. But the challenge is to access more than 20, 000 shallow geobodies in time manner, faster and more efficient to fulfill our drilling sequences target and speed-up the development phase.Therefore, we are developing seismic driven supervised machine learning to fit learn geological Tunu characteristic to be gas reservoirs. Several machine learning algorithm has been tested and selected based on several criteria such as AVA/AVO, and amplitude of seismic. The algorithm used to learn behavior of seismic correspond with gas reservoir from data training then applied it to validation and blind dataset for evaluating final models. The final machine learning output is gas probability cube with precision of 70-80% precision from well drilled result in term of gas occurence. Furthermore, unsupervised machine learning has been used to extract potential prospecting targets as geobody targets. Initial test showed encouraging result to extract geobody targets in the shorter time compare with the conventional geomodeling. The final goals are optimizing our current workflow for screening shallow gas potentials, accelerate screening in the future well targets with more efficient, effective way and independent of subjectivity, allowing 2G (geologist and geophysicists) explore deeper and confident way when targeting next future shallow gas target.Usage of seismic driven machine learning for targeting shallow gas reservoir is one big step in the current oil and gas industry and in the same time opening more opportunity to maximize powerful machine learning in 4.0 industry era which is need accuracy, more precise, robust, faster and efficient.
Tight Oil Field Development Challenges, Lessons Learnt and Successful Implementation of Selected Artificial Lift (SRP) Along with Operational & Digital Solutions: ABH Field, Rajasthan, India
Authors: Varma Nakul , Negi Avdesh , Kumar Manish , Chauhan Shailesh , Bohra Avinash , Kothiyal Manish 
Published: February 2023

ABSTRACTAishwariya Barmer Hill (ABH) field area consists of a laminated high porosity (25-35%), low permeability (~1 mD) unit of 50-250 meters thick hydrocarbon bearing payzone. With the success of the first 6 pilot wells, it was decided to extend to the whole field with more than 44 horizontal wells. The horizontal wells are ~2300-2600 mMD long, lateral average length of 1000m and multistage hydraulic fracturing (10-17). These wells face numerous complications due to high gas-oil ratio, sand production, and corrosion tendencies because of high CO2 mole percent concentration (40-60%) in fluid. Further complications include downhole pumps setting at very high deviation (60-65 deg), rod failures-wear in high deviation wells, rod rotation due to deviation and gradual productivity declines due to sand deposition at lower side of downhole completion.Due to low permeability and low mobility fluid nature, it was necessary to find efficient ways to enhance the overall hydrocarbon recovery factor of the field. Several sensitivities were performed, on the number of wells, number of hydraulic fractures, well design, artificial lift options, water, and gas injection. According to the sensitivities results, the best developed scenario envisages high number of multiple frac wells to increase the recovery factor. Based on the detailed evaluation of available artificial lift options, SRP was selected over Jet pumps as the most suitable artificial lift considering the requirement of large drawdowns & operating costs of lifts. The risk of gas issues was mitigated by keeping the tubing-production casing annulus vented and further alleviated by running suitable downhole gas separators. Other problems were analyzed, and multiple attempts of solution implementation were done.This paper addresses an inhouse ways to tackle sand, high gas rate issues, along with rectifications &learning of other problems faced during the last 3 years of field operations, including digitalization projects for visualization of well behavior. This paper also addresses a few remarkable calculated parameters which are - actual production loss calculations whenever well is shut-in (considering wellbore column storage effects), calculated gas free liquid level pump submergence and pump intake pressure from pump load live data. The purpose of this paper is to describe technical & operational challenges along with lessons learnt/solutions implemented in last 3 years.
Sustainable Hydrocarbon Production Through ESP System Optimization in the Digital Era
Authors: Kalu-Ulu Torty C. , Khamees Saud A. , Flippin Cleavant J. 
Published: February 2023

AbstractSustaining hydrocarbon production using artificial lifting technology could be daunting to say the least. Over time, both surface and subsurface challenges associated to artificial lift applications and electric submersible pumping systems in particular, that impact hydrocarbon production make the system unappealing and uneconomical for field development. This paper attempts to review the challenges impacting ESP system optimization for sustainable hydrocarbon production in both brown and green fields during the current big data era.The producing environment as well as the ESP components used in field development and production require continuous optimization across the ESP system spectrum. Analysis and diagnosis of the producing well completion is essential to achieving a better optimization and sustainability of the desired production target. A two-approach system optimization is preferred to address the challenges impacting sustainable hydrocarbon production in an ESP completed well. The approach enumerated in the paper relies on the innovative technological advancement of data capturing, segmentation, and integration brought about by the fourth industrial revolution.The approach involves a top-to-bottom optimization in addition to real-time data integration. The increasing sophistication in ESP system platforms’, mobility, surveillance, connectivity, and storage technologies, joined with the ability to process and rapidly analyze data, improve agility, and support real-time on the spot automated decision making. These enhancements allow action execution to overcome the numerous challenges impacting production sustainability in ESP completed wells. This brings about increased and timely engagement between the equipment manufacturer, operator and the well. In addition, there is reduction in well downtime, increased uptime with overall resultant of sustained hydrocarbon production.A comprehensive approach to artificial lift hydrocarbon production optimization in an ESP completed well using data interwoven connectivity is preferred as the best approach to reactivate, boost, and sustain hydrocarbon production in this era of digitalization.
Academic Grit di Madrasah Aliyah : Studi Kuantitatif dilakukan di Kota Palembang
Authors: Meyrinda Jesyia , Fakhriya Siti Dini 
Published: February 2023

Penelitian ini bertujuan untuk menguji model teoretis pengaruh self compassion, social support berpengaruh terhadap academic grit dengan academic motivation sebagai mediator. Serta ingin melihat apakah variabel self compassion, social supprot dan academic motivation memberikan pengaruh secara langsung terhadap academic grit. Sampel penelitian ini berjumlah 250 siswa madrasah aliyah negeri kota Palembang. Analisis data yang dunakan dalam penelitian ini dengan menggunakan metode SEM (Structural Equation Modeling) untuk menguji validitas konstruk menggunakan MPLUS 0.7. Hasil hipotesis menunjukan bahwa model teoretis pengaruh Self-compasion, dan Social Support berpengaruh terhadap Academic Grit , dengan academic motivation “Extrinsic Motivation Support, Extrinsic Motivation Career, Instrinsic Motivation ” sebagai mediator, diterima. Berdasarkan hasil dari uji hipotesis yang telah dilakukan, kesimpulan yang dapat diperoleh dari hasil penelitian ini ditemukan pengaruh tidak langsung (indirect effect) terhadap Academic Grit. Melalui metode path analysis, terdapat tiga model academic motivation yang fit dengan data. Dari tiga model yang memiliki pengaruh tidak langsung (indirect) yang signifikan terhadap Academic Grit.
Datos mexicanos de COVID-19 en sus etapas iniciales ¿estratégicamente distorsionados?
Authors: Arteaga García Julio Cesar , Luna Domínguez Edgar Mauricio 
Published: February 2023

Objetivos: Identificar entidades que realizan más cambios en mediciones del COVID-19 en México y los cofactores que contribuyen a explicar las magnitudes de estas distorsiones.
Metodología: Para identificar las entidades que más distorsionan la información, se utilizan análisis de clúster jerárquico y pruebas de cointegración. Análisis de regresión relaciona la magnitud de las distorsiones con información de competitividad estatal.
Resultados: Al menos seis entidades federativas sub-registran muertes, contagios o ambos. Asimismo, se encuentra que las entidades distorsionan información de contagios para no incidir negativamente en determinados sectores económicos.
Limitaciones/implicaciones: El número de observaciones está limitado a la cantidad de entidades federativas y los cofactores son invariantes en el tiempo. Por otra parte, la magnitud real de las distorsiones en mediciones del COVID-19 podría ser mayor ya que se ha reconocido el sub-registro en la información de la Secretaría de Salud.
Originalidad/valor: Es el primer trabajo que analiza las distorsiones en las mediciones del COVID-19 en nuestro país.
Conclusiones: Se muestra evidencia de posibles acciones estratégicas realizadas por las entidades con respecto al flujo de información del COVID-19.
FORENSIC LINGUISTICS: FORMS AND PROCESSES
Authors: Heydon Georgina 
Published: February 2023

Following a brief introduction to the notion of forensic science and analysis, this paper will explain the different ways in which linguistics has contributed to police investigations and civil law.Â The paper will cover linguistic identification using spoken data and written data, and will discuss the use of discourse analysis as well as the more traditional phonetic and syntactic analysis for forensic examinations.Â Other applications that will be discussed include analysis for language of origin in refugee status claims, commercial applications and trademark disputes, and lie detection. Each of these applications will be considered critically and in relation to both the validity of the theories underlying them, and the statistical reliability of the analysis used to attain results.
THE ROLE OF CULTURE IN THE TRANSLATION PROCESS THROUGH THINK-ALOUD PROTOCOLS
Authors: Rini Julia Eka 
Published: February 2023

Cultural differences have been a major focus in translation. This study investigates twoÂ aspects; first, the translation process of culture-bound words and second, the strategies taken by two translators. These translators are English Department students and they have different cultural backgrounds, Moslem Javanese and Buddhist Chinese. Each of them has to translate the same four texts: one text whose cultural background both of them are familiar with, another text whose cultural background both of them are not familiar with and two other texts. Out of the two texts, only one text has a familiar cultural background to one of the translators. The method used to investigate what was happening in the translatorsâ€™ mind is think-aloud protocols. Two points can be concluded from this study. One, translatorsâ€™ cultures do play a role in their consideration of choosing the words they use. Two, translators generally use the strategy of cultural substitution if the culture is nearly the same, but they use the strategy of using a neutral word or paraphrasing by related words when the culture is different.
INTRODUCTION IN INDONESIAN SOCIAL SCIENCES AND HUMANITIES RESEARCH ARTICLES: HOW INDONESIAN WRITERS JUSTIFY THEIR RESEARCH PROJECTS
Authors: Arsyad Safnil 
Published: February 2023

The introductory part of a research article (RA) is very important because in this sectionÂ writers must argue about the importance of their research topic and project so that they can attract their readersâ€™ attention to read the whole article. This study analyzes RA introductions written by Indonesian writers in social sciences and humanities journals. It focuses on how they justify their research topics and research projects. A corpus of 200 research articles written in Indonesian by Indonesian writers and published in Indonesian research journals was analyzed in this study. Following the problem justifying project (PJP) model suggested by Arsyad (2001), the analyses were conducted by using the genre-based analysis of text communicative purpose of â€˜moveâ€™ and â€˜stepâ€™. The result of this study indicates that Indonesian writers justify their research project by introducing the actual research topic, identifying the research problem, and reviewing the current knowledge and practices.
RELASI MAKNA DALAM ANTOLOGI PUISI MASIH INGATKAH KAU JALAN PULANG KARYA SAPARDI DJOKO DAMONO DAN RINTIK SEDU: ANALISIS SEMANTIK
Authors: Yudmianti Siti Vitandari , Irma Cintya Nurika , Permadi Deni 
Published: February 2023

This study aims to describe the relationship of meaning based on semantic analysis contained in the poetry anthology Masih Ingatkah Kau Jalan Pulang by Sapardi Djoko Damono and Rintik Sedu. The method used in this study is descriptive qualitative. The data in this study are words and/or phrases in an array or verse of poetry that indicate the existence of a relationship of meaning. The data collection technique used is to read, record, and find words and/or phrases in arrays and stanzas that contain meaning relationships. Then, analyze the data and describe it. The test of the validity of the data in this study includes a credibility test by triangulation of sources. The results showed that there was a relationship of meaning in the form of (a) synonymy which includes the word crumbs with crumbs, the word medicine with an antidote; (b) antonymy which includes the word North with South, the word heaven with hell, etc.; (c) homographs that include the word tofu; (d) hyponymy which includes the phrase of a word with a script-by-script meeting; (e) hypernymy which includes the word flower with the phrase red and purple yellow flowers; (f) polysemy which includes the word head; (g) redundancy which includes the word must be with yes must; (h) meronimi which includes the word flower with petals; (i) associative meanings that include the words space, universe, savanna, etc.; and (j) affective meanings that include the words honest and extravagance.Penelitian ini bertujuan untuk mendeskripsikan relasi makna berdasarkan analisis semantik yang terdapat dalam antologi puisi Masih Ingatkah Kau Jalan Pulang karya Sapardi Djoko Damono dan Rintik Sedu. Metode yang digunakan dalam penelitian ini adalah deskriptif kualitatif. Data dalam penelitian ini ialah kata dan/atau frasa dalam larik atau bait puisi yang menunjukkan adanya relasi makna. Teknik pengumpulan data yang digunakan ialah membaca, mencatat, dan menemukan kata dan/atau frasa dalam larik maupun bait yang mengandung relasi makna. Kemudian, menganalisis data dan mendeskripsikannya. Uji keabsahan data dalam penelitian ini meliputi uji kredibilitas dengan cara triangulasi sumber. Hasil penelitian menunjukkan terdapat relasi makna berupa (a) sinonimi yang meliputi kata reruntukan dengan remah-remah, kata obat dengan penawar; (b) antonimi yang meliputi kata Utara dengan Selatan, kata sorga dengan neraka, dan lain-lain; (c) homograf yang meliputi kata tahu; (d) hiponimi yang meliputi frasa secarik kata dengan rapat aksara demi aksara; (e) hipernimi yang meliputi kata bunga dengan frasa bunga kuning merah dan ungu; (f) polisemi yang meliputi kata kepala; (g) redundansi yang meliputi kata harus dengan ya harus; (h) meronimi yang meliputi kata bunga dengan kelopak; (i) makna asosiatif yang meliputi kata angkasa, semesta, sabana, dll.; dan (j) makna afektif yang meliputi kata jujur dan pemborosan.
NATURE IN INDONESIAN TOURISM: A MULTIMODAL DISCOURSE ANALYSIS
Authors: Isti'anah Arina , Puri Anindita Dewangga 
Published: February 2023

In tourism promotion, nature has been considered a key factor in persuading tourists to visit. Nature has been studied by many researchers using linguistic analysis, such as metaphor and rhetorical devices, to attach it to beauty and paradise. However, tourism promotion in social media now also requires multimodal modes to communicate with readers. The choice of shot strategies, frame size, and eye level in the visual source are powerful features to position readers in virtual communication. Therefore, this paper addresses multimodal strategies to present Indonesian nature in the tourism website from its interpersonal strategies. Theories of multimodality by Kress and Leeuwen are applied to discuss five samples of the multimodal resources of Medan, Raja Ampat, Lombok, Bintan, and Banyuwangi. The analysis found that the visual strategies identified from the gaze, shot distance, and eye level constitute an offer, while the textual strategies function as informative and descriptive. This paper confirms previous research that Indonesian tourism website is loaded with descriptive modes where persuasion is indirectly addressed.Dalam promosi pariwisata, alam telah dianggap sebagai factor kunci dalam membujuk turis untuk mengunjungi tempat wisata. Alam telah dikaji oleh peneliti dengan analisis linguistik, beberapa di antaranya seperti metafora dan Pirani retorika untuk melekatkan alam dengan keindahan dan surga. Namun demikian, promosi pariwisata dalam media sosial saat ini juga memerlukan mode multimodal untuk berkomunikasi dengan pembaca. Pilihan strategi pengambilan gambar, ukuran bingkai, dan tingkat mata dalam sumber visual merupakan fitur yang kuat untuk memposisikan pembaca dalam komunikasi virtual. Oleh sebab itu, artikel ini membahas strategi multimodal untuk menyajikan alam Indonesia pada situs web pariwisata dari strategi interpersonalnya. Teori multimodalitas dari Kress dan Leeuwen diaplikasikan untuk membahas lima sampel dair sumber multimodal teks Medan, Raja Ampat, Lombok, Bintan, dan Banyuwangi. Analisis menemukan bahwa strategi visual yang diidentifikasi melalui tatapan, jarak pengambilan, dan tingkat mata bertujuan untuk menawarkan, sedangkan strategi tekstual mengemban fungsi informatif dan deskriptif. Artikel ini menegaskan penelitian sebelumnya bahwa situs web pariwisata Indonesia memuat mode deskriptif yang memuat fungsi persuasive tak langsung.
Analysis of Enterprise Marketing Strategy Optimization from the Perspective of New Media
Authors: Li Jianhui 
Published: February 2023

With the advent of the economic era of “Internet +,” new media has become a new means of enterprise marketing by virtue of its own advantages, including fast communication speed, diversified communication channels, low cost, and novel content. Enterprises should actively integrate into the new media era, constantly improve their cultural soft power and new media marketing ability, build new marketing systems, set up professional new media marketing teams, and further improve their marketing ability; innovate new media marketing content, attract consumers’ attention, and expand the audience group; open up new media marketing channels, carry out diversified marketing, comprehensively enhance their marketing ability, and succeed in the fierce market competition.
The Concept of Automatic Creation Tool for Computer Game Scenario Prototype
Authors: Shubin Aleksey Vitalevich , Sahibgareeva Gulnara Faritovna , Kugurakova Vlada Vladimirovna 
Published: February 2023

The experience of game studios shows that classical methodologies of software development are poorly implemented in video game development because of the interactive component of this area, related to the correct creation of feedback between the game and the user. In addition, video game development involves a large number of developers from different areas, whose activities must be coordinated in the project.
Despite these differences, video games, like any other developed software, need a development team organization process. In this article we reviewed traditional software development methodologies, as well as modifications specializing specifically in video game development. The most popular methodologies were compared and the quality of their implementation in video game development studios was determined.