bluuebunny/crossref_metadata_2025 huggingface dataset:
Мир японской поэзии в трёхстишии Соги
Authors: БРЕСЛАВЕЦ Татьяна Иосифовна
Published: February 2025

В статье анализируется трёхстишие Иио Соги (1421–1502), открывающее коллективную поэму из ста "нанизанных песен" (рэнга) в дневнике "Сиракава кико" ("Путешествие к заставе Сиракава", 1468). Исследуется специфика литературной преемственности в истории средневекового стиха, роль поэзии рэнга, несущей ретроспективное знание. Отмечается использование канонического метаязыка классической поэтики. С привлечением прецедентных текстов раскрываются реминисцентные свойства рэнга как интеллектуальной поэзии, основанной на ассоциативных связях с предшествующей литературой. Обнаруживаются новаторские позиции Соги ‒ родоначальника комической цепочки песен.

In the work of the Japanese poet Iio Sogi (1421–1502), travel notes occupy a significant place, among which the first was the diary "Shirakawa Kiko" ("Journey to the Shirakawa Outpost", 1468). The article is devoted to the analysis of the Sogi tercet, which opens a collective poem of one hundred "strung songs" (renga). The specifics of literary continuity in the history of medieval verse and the role of renga poetry as a carrier of retrospective knowledge are explored. The use of poetics that developed in the early period of Japanese literature and its canonical metalanguage is noted. With the use of precedent texts, the reminiscent properties of renga as intellectual poetry are revealed, based on associative connections with previous literature. Reminiscence as a form of intertextuality expands the artistic boundaries of lapidary verse and includes it in a system of recognizable norms. It is no coincidence that in each stanza of the renga it is recommended to create a reminiscent move ‒ a reminder, a reference to previous texts that make up the stratification of layers ‒ a whole arsenal of artistic embodiments. Sogi’s innovative positions are also revealed as the founder of a comic chain of songs.
Threats to national security in the context of digital transformation of the economy and public administration
Authors: BELYAEVSKAYA-PLOTNIK Lyubov’ A.
Published: February 2025

Subject. This article discusses the issues of improving the efficiency of public administration.
Objectives. The article aims to analyze the institutional support measures for digital transformation processes.
Methods. For the study, I used the methods of logical and comparative analyses.
Results. The article finds that the shortage of qualified specialists who are able to use modern technologies to solve strategically important tasks for the country is the main problem hindering the development of digital transformation processes in the field of public administration.
Conclusions. Threats to the national security that are relevant in the context of digital transformation should be disclosed and reflected in the National Security Strategy of Russia, and decomposed along the entire hierarchy line of strategic planning documents.
Gig economy: Formalization and analysis of key elements using a tuple model
Authors: NAZAROV Dmitrii M.
Published: February 2025

Subject. The article addresses the gig economy as a modern form of labor organization and the use of digital platforms.
Objectives. The study aims to define the essence of the gig economy, analyze interrelations of its elements, assess the degree of its impact on the labor market.
Methods. The study employs mathematical methods of research.
Results. I developed a methodological approach based on the use of a tuple model. It enables to structure and formalize various aspects of the gig economy: types of employment, the role of digital platforms, social implications. The paper presents my own definition of the gig economy, defines the role of digital platforms in managing supply and demand in the labor market.
Conclusions. The use of the tuple model can contribute to the development of programs to improve working conditions.
Generation Z and Digital Ecology: The Role of TikTok in Environmental Campaigning by Pandawara Group
Authors: Aminulloh Akhirul , Qorib Fathul , Hakim Lukman
Published: February 2025

Pandawara Group is a community of young environmental activists who have gained widespread attention for their waste cleanup campaigns in Indonesia. Pandawara Group utilizes the social media platform TikTok to reach a larger audience. This research aims to explore how digital technology and social media are used and influence environmental action among Generation Z. Using a qualitative approach, this research analyzes the content strategy of the TikTok social media platform. Through a qualitative approach, this research analyzes their content strategy in the context of digital ecology. The research examined eight TikTok videos with the highest number of likes on Pandawara Group's account to evaluate user engagement patterns and content elements that support campaign effectiveness. In addition, interviews were conducted with Pandawara followers at Tribhuwana Tunggadewi University to explore their perceptions of Pandawara's hygiene campaign through digital platforms. The results showed that Pandawara's authentic and visually appealing content successfully moved audiences, especially the younger generation, towards environmental activism. The study also found that their strategy of emotional storytelling and community engagement created a strong bond with their followers. In addition, the viral nature of their content significantly extended the reach of the message to a global audience. The discussion in this study highlights how such digital strategies are instrumental in creating sustainable impact for environmental advocacy. The conclusion of this study is that digital platforms are highly effective for strengthening grassroots environmental movements and suggests further research on the role of social media in ecological advocacy.
Gambaran pasien skabies di Puskesmas Cipatujah
Authors: Salsabila Khalda , Buana Ria
Published: February 2025

Skabies ialah infeksi kulit yang disebabkan oleh tungau Sarcoptes scabiei. Penyakit ini menimbulkan rasa gatal yang hebat, terutama pada malam hari. Penularan biasanya terjadi melalui kontak langsung antar kulit, khususnya dalam lingkungan keluarga atau orang-orang yang sering berkontak fisik. Studi ini bertujuan untuk menggambarkan karakteristik usia, jenis kelamin dan faktor lingkungan (bulan transmisi) yang berkaitan dengan skabies. Studi ini dilakukan secara deskriptif observasional (non-eksperimental) dengan desain potong lintang. Pengambilan sampel dilakukan menggunakan data sekunder dari rekam medis pasien yang terinfeksi skabies di Puskesmas Cipatujah selama tahun 2023 dengan jumlah 479 sampel. Hasil studi didapatkan mayoritas kasus terjadi pada usia dewasa, yaitu kelompok usia 30-59 tahun, sebanyak 176 (36,7%) sampel. Tingkat infeksi skabies cenderung lebih tinggi pada perempuan dengan jumlah 277 (57,8%) sampel. Rasio infeksi skabies antara perempuan dan laki-laki sekitar 1.37:1. Bulan September merupakan bulan dengan jumlah kasus tertinggi, di mana tercatat 79 (16,5%) kasus.
Gambaran hipertensi dan obesitas pada lansia di RW 05 Palmerah Jakarta Barat
Authors: Deu Patrisia , Karjadidjaja Idawati
Published: February 2025

Peningkatan penduduk usia lanjut (lansia) dari tahun ke tahun menuntut perhatian khusus dari berbagai kalangan. Kondisi tersebut memengaruhi berbagai aspek kehidupan pada lansia seperti penurunan fungsi kognitif dan fisiologis, serta status gizi. Banyak lansia yang mengalami masalah pemenuhan gizi yaitu malnutrisi, yang mempengaruhi kesehatan serta kualitas hidup lansia. Masalah gizi yang menjadi salah satu perhatian khusus ialah status gizi pada lansia dengan obesitas, karena obesitas menjadi faktor risiko berbagai penyakit. Selain itu, secara khusus lansia dengan gizi lebih/obesitas umumnya juga memiliki hipertensi akibat obesitasnya, sehingga hipertensi juga perlu diperhatikan. Studi ini dilakukan untuk mengetahui gambaran hipertensi dan obesitas pada lansia di RW 05 Palmerah Jakarta Barat sehingga dapat memberikan pelayanan khusus pada lansia yang rentan dan mencegah komplikasi yang terjadi akibat penyakit-penyakit tersebut. Jenis studi yang digunakan ialah deskriptif. Pengambilan sampel dengan teknik total sampling sebanyak 52 orang dan pengumpulan data dilakukan dengan penimbangan berat badan, pengukuran tinggi badan, pengukuran lingkar perut dan pengukuran tekanan darah. Hasil studi ini menunjukkan lansia dengan hipertensi sebanyak 31 (59,6%) lansia, lansia dengan status gizi overweight sebanyak 15 (28,8%) lansia, dan obesitas sebanyak 21 (40,4%) lansia. Rerata lingkar perut lansia sebesar 89,29 cm dengan lansia yang memiliki obesitas sentral sebanyak 40 (76,9%) lansia. Mayoritas lansia di RW 05 Palmerah Jakarta Barat memiliki hipertensi dan obesitas, serta tergolong ke dalam obesitas sentral.
Perilaku makan dan status gizi mahasiswa kedokteran Universitas Tarumanagara dalam era media sosial
Authors: Agustina Cut Ghina , Silaban Dorna Yanti Lola
Published: February 2025

Tendensi di media sosial yang mempromosikan makanan dan minuman tidak sehat dapat memengaruhi perilaku makan penggunanya. Gambar atau iklan di media sosial dapat merangsang sistem otak seperti dopaminergik sehingga memengaruhi rasa lapar dan mendorong keinginan untuk makan. Perilaku makan tidak sehat dapat menyebabkan status gizi yang buruk akibat tidakseimbangan asupan dan kebutuhan gizi. Perilaku makan yang buruk banyak berkembang di kalangan remaja. Studi ini memanfaatkan teknik analitik dengan pendekatan cross-sectional yang melibatkan mahasiswa kedokteran Universitas Tarumanagara. Status gizi disurvei berdasarkan indeks massa tubuh (IMT), pengunaan media sosial diperoleh menggunakan Social Network Time Usage Scale (SONTUS) yang telah tervalidasi, dan asupan makanan dianalisis menggunakan Semi-Quantitative Food Frequency Questionnaire (SQ-FFQ). Sebanyak 121 (81,2%) responden memiliki pengunaan media sosial yang tinggi, 98 (65,8%) responden dengan perilaku makan yang kurang dan 105 (70,5%) responden dengan status gizi tidak normal. Pengolahan data dilakukan dengan uji statistik Chi-Square menunjukkan hasil P-value sebesar 0,0001 menandakan yang adanya hubungan signifikan antara penggunaan media sosial dengan perilaku makan dan status gizi (p<0,05; PRR=0.136; PRR=2.469).
Pengaruh bermain game online terhadap kualitas tidur mahasiswa kedokteran Universitas Tarumanagara
Authors: Maharani Salwa Deyo , Dwiana Alya
Published: February 2025

Environment Software Association (ESA) pada tahun 2022 menunjukkan pengguna game online di Amerika Serikat (USA) mencapai 215.5 juta dan sebanyak 65% ialah kalangan remaja. Bermain game online yang terlalu lama dapat menjadi salah satu faktor yang memengaruhi kurangnya pemenuhan kebutuhan akan tidur. Pemain game yang tidak dapat mengatur waktu dan terus menerus bermain game online  akan memberikan dampak negatif terhadap kualitas tidurnya. Tujuan studi ini untuk mengetahui hubungan intensitas bermain game online dengan kualitas tidur pada mahasiswa Fakultas Kedokteran Universitas Tarumanagara angkatan 2022. Desain studi ini ialah analitik cross-sectional. Teknik pengambilan 126 responden menggunakan consecutive non random sampling. Data bermain game online menggunakan kuisioner Indonesian online game addiction Questionnaire dan data kualitas tidur diperoleh dengan menggunakan kuesioner Pittsburgh Sleep Quality Index (PSQI). Analisis data menggunakan uji statistik chi-square dengan interval kepercayaan 95% (alpha = 0,05). Intensitas bermain game online menunjukkan paling banyak dalam kategori tidak kecanduan yaitu sebanyak 95 (75.4%) responden, sedangkan kualitas tidur menunjukkan kualitas yang sama antara baik maupun buruk, yaitu sebanyak 63 (50%) responden. Uji statistik menunjukkan terdapat hubungan yang signifikan antara intensitas bermain game online  dengan kualitas tidur (p-value = 0,02) dengan nilai PRR yaitu 1,53.
Concepts of Nature Conservation and Preservation
Authors: Gordon Donald
Published: February 2025

There should be little doubt among lovers of nature that we in the over-industrialised Western world have not yet developed an effective concept for protecting nature from the demands of human society. Nonetheless, we are convinced that our critically flawed approaches must be adopted in any nature-rich, less-industrialized country which will tolerate our rantings. Approaches to nature protection, however, are far from being universally applicable and must be recognized as being deeply rooted in the cultural and ideological perspectives of their creators. Many long-established and well-intentioned concepts and approaches to conservation must be queried, as must some more recent preservationist prescriptions. Critical weaknesses in these concepts arise from the desire to exclude all humans from the nature-protection equation. Such an approach inadvertently decrees that nature protection be relegated to those peripheral areas of little concern to our resource~gobbling society. [...]
Tingkat Pelayanan Pedestrian di Jalan Jatibaru Raya: Bukti Empiris Menggunakan Metode Greenshield
Authors: Tatiana Yana , Ricardianto Prasadja , Wahyuningtias Nida Handamari , Wardhono Djarot Tri , Suryobuwono Abdullah Ade , Handayani Susanty
Published: February 2025

Beberapa permasalahan yang ditemukan di sepanjang ruas Jalan Jatibaru Raya, Jakarta Pusat kerusakan pada lokasi pedestrian, banyaknya pedagang kali lima yang berjualan, dan kendaraan beroda dua yang parkir di atas pedestrian tersebut. Tujuan penelitian ini adalah untuk mengetahui tingkat pelayanan yang terdapat pada ruas Jalan Jatibaru Raya, Jakarta Pusat dan mengetahui pengaruh kecepatan, kepadatan, dan arus pejalan kaki pada ruas Jalan Jatibaru Raya. Penelitian ini menggunakan metode kuantitatif dengan jumlah sampel penelitian sebanyak 6.573 orang. Sampel tersebut diperoleh pada weekday dan weekend yaitu pada hari Kamis, Jumat, dan Sabtu. Pengambilan data dilakukan menggunakan pedestrian counting dan observasi lapangan, kemudian dilanjutkan menggunakan metode Greenshield serta diolah dengan regresi linier. Hasil penelitian menunjukkan nilai arus sembilan pejalan kaki/menit/m, kecepatan 57,1792 m/min., dan nilai kepadatan sebesar 0,2189 pejalan kaki/m2. Tingkat pelayanan ditentukan berdasarkan besarnya arus dan ruang pejalan kaki diinterval 15 menit tertinggi sehingga ruas Jalan Jatibaru Raya di kawasan Pasar Tanah Abang termasuk kategori Level of Service “B”. Kesenjangan penelitian pada hasil penelitian sebelumnya yang dianalisis menggunakan metode Greenshield menunjukkan adanya pengurangan lebar jalur dan disisakan jalur dengan lebar tidak lebih dari 25% dari lebar pedestrian. Temuan lainnya adalah pedestrian yang hanya mempunyai lebar di bawah minimal 1.56 m dan banyak trotoar tidak dapat digunakan untuk orang berkebutuhan khusus. Kondisi ini sangat merugikan pejalan kaki karena mengurangi keleluasaan dan memengaruhi kelancaran pergerakan. Akhirnya, penelitian yang menghitung Level of Service dan beberapa analisis yang menggunakan kepadatan, kecepatan, arus, ruang pejalan kaki, kecepatan, dan pengaruh antarvariabel ini dihitung menggunakan metode Greenshield dengan regresi linier. Dengan demikian, poin-poin tersebut dapat disebut sebagai state of the art pada penelitian terkait pedestrian ini.
Analisis Pemilihan Moda Transportasi Antar Pulau Di Indonesia (Studi Kasus: Rute Batam – Pekanbaru)
Authors: Muttaqin Muchammad Zaenal , Fikri Al
Published: February 2025

Letak geografis yang cukup dekat menyebabkan banyak penduduk kota Batam melakukan perjalanan ke Pekanbaru. Penumpang dari kota Batam yang melakukan perjalanan ke Pekanbaru memiliki dua pilihan jalur moda transportasi, antara lain jalur laut-darat dan jalur udara. Jalur transportasi tersebut memiliki karakteristik moda yang berbeda sehingga akan mendorong pengguna untuk lebih selektif dalam memilih moda yang akan digunakan. Studi ini bertujuan untuk menganalisis factor-faktor serta membuat model pemilihan moda dalam melakukan perjalanan rute Batam – Pekanbaru. Metode analisis yang digunakan adalah analisis deskriptif kuantitatif. Analisis deskriptif digunakan untuk menjelaskan karakteristik pemilihan moda transportasi penumpang, sedangkan analisis kuantitatif digunakan untuk mengetahui factor-faktor yang mempengaruhi pemilihan moda penumpang dengan regresi linear berganda menggunakan software SPSS 24.0. Hasil persamaan regresi linear akan dimasukan kedalam model logit biner untuk mengetahui probabilitas pemilihan moda transportasi penumpang rute Batam – Pekanbaru. Faktor-faktor yang berpengaruh terhadap pemilihan moda untuk perjalanan rute Batam – Pekanbaru diambil dari variabel bebas yang memenuhi uji regresi logistik, antara lain variabel biaya perjalanan (X3), harga tiket (X5), kenyamanan (X8), kesediaan (X9), dan pertimbangan kecepatan (X15) dengan nilai signifikansi kurang dari 0,05. Selanjutnya, probabilitas penumpang rute Batam – Pekanbaru yang menggunakan transportasi udara berdasarkan model persamaan adalah sebesar 57,4 persen, sedangkan probabilitas penumpang rute yang menggunakan transportasi laut-darat sebesar 42,6 persen.
Embracing Greenfield Uncertainties Through Tailored-Made Assisted History Matching Approach
Authors: Raghunathan M. , Suggust A. A.
Published: February 2025

After appraisal of a marginal block with multiple reservoir zones in a field A, the range of outcomes (in-place volumes and EUR) were large. The subsurface uncertainties could be attributed to fewer penetrations, short history and less reliable production data. Absence of observed contacts lead to a wide range of in-place volumes. At the first look, making business decisions was daunting and challenging. Scope for additional appraisal activities being limited, reservoir modelling efforts were expected to narrow down the uncertainties.

A 3D reference model was prepared based the average weighted properties using in-house Hydrocarbon Resource Assessment. Historical data to be matched were short production/pressure data from two wells along with production logging results and pressure vs. depth data from a newly drilled well. A total of 22 uncertainties were identified across static and dynamic parameters – which predominantly included contact (per zone) and relative permeability exponents amongst others.

Three thematic mismatch quantities were designed to express the history match quality. Multi-objective optimization methods like Particle swarm optimization and Differential evolution were used to minimize the mismatch followed by identification of a Pareto surface providing good number of minimized mis-match models. A customized approach was implemented to further sanitize these models to obtain the history-matched set of models to eliminate outliers systematically. This was an important contributor towards higher confidence in history match. The forecast on development options were conducted on history-matched set of models.

Identifying and defining variables with a good understanding of its influence over drive mechanism, fractional flow and productivity of the wells is a key differentiator of this study. Thematical grouping the mismatch functions helped in obtaining good history match. The post-AHM uncertainty ranges were 20-80 percent of the input uncertainty ranges thus providing a good level of confidence in the forecast.
A Multi-Disciplinary Integrated Geosteering Workflow for Drilling Horizontal Wells
Authors: Xue Jie. , Yu Ting. , Quan Min. , Bai Xian. Feng. , Yang Yao. , Cui Ji. Ning. , Li Fei. Fei. , Bo Jiangwei. , Xu Da. Wen. , Di Xiang. , Su Ming. , Liu Kun. , Jiao Cheng.
Published: February 2025

Block A is a green gas field in the southern Ordos Basin of central China. The S23 layer is the major payzone and is developed by horizontal wells. However, due to complex fluvial reservoir architecture and heterogeneity, lack of well control and local structural fluctuations, horizontal well geosteering is a very challenging task. To improve sandbody penetration ratio in the horizontal wells in this S23 resevoir, a multi-disciplinary integrated workflow for horizontal well placement has been devised based on the analysis of geological, geophysical, and real-time drilling data of the S23 reservoir

The geosteering workflow has been constantly improved and enriched by updating the understanding of S23 reservoir distribution from drilled wells and comprehensive seismic analysis. The workflow unfolds in four steps: 1) S23 reservoir prediction based special logging and seismic risk maps 2) under guidance of offset well correlation and seismic structural interpretation to support well placement and target point prediction. 3) construct pre-geosteering model and adjust the drilling trajectory to improve the landing success. 4) apply structural data, sedimentary facies, and seismic information to build finely gridded geosteering model, then combine the mud-logging data and engineering parameters to make real-time adjustment to keep trajectory into the reservoir. This integrated geosteering workflow has been implemented in Block A successfully to handling well with reservoir uncertainties and shown excellent judgment and higher sandbody penetration ratio in S23 horizontal wells.

Because of the application of this innovative integrated method, from 2018 until now, the horizontal wells landing successful ratio improved from 88% to 97.6%. To date, 140 horizontal wells have been drilled in this block A, the average horizontal section length reaches 1015 m, and the sand body penetration ratio improves from 81% to 87%, the overall ratio is 85%. The integrated workflow is successfully combines geology, geophysics and engineering information, which makes the real-time guidance and adjustment come true, it has been beneficial for the well placement and drilling of horizontal wells, especially to optimize geosteering in the complex fluvial reservoir.
Enhancing Casing Drill Out Consistency and Unconventional Interbedded Drilling Efficiency with in-Bit Data Capture and Shaped Cutter Technology
Authors: Jafri M. O. , Jamal S. , Vrnak K.
Published: February 2025

Drilling out casing equipment with a Polycrystalline Diamond Compact (PDC) bit is a challenge, as it can result in prematurely Pulling Out of Hole (POOH) while drilling formation due to bit damage. This paper introduces a novel drill bit design approach for efficiently cleaning out casing equipment and drilling highly interbedded formations in one run in unconventional wells. This was accomplished by leveraging downhole at-bit data in combination with optimal placement of innovative shaped cutters along with improved nozzle configuration to enhance drilling efficiency and durability in challenging drilling environments.

The approach started with the deployment of a legacy drill bit design having traditional round cutters equipped with downhole sensors to drill out casing equipment and target formations. Data from these runs were then analyzed to optimize drilling parameters, both during drilling of the casing equipment, and the interbedded transitional formation. Subsequently, utilizing insights from the data analysis, a new drill bit design incorporating shaped cutters and improved nozzle configuration was developed to further mitigate impact damage and improve overall drilling performance.

Preliminary results demonstrated the effectiveness of the approach in significantly enhancing drilling efficiency and durability, leading to the successful completion of shoe-to-shoe runs. Notably, the bit dull post-run revealed a reduction in impact damage on the new design featuring shaped cutters, thereby contributing to extended longevity and improved drilling performance. Furthermore, the optimization of hydraulics played a crucial role in mitigating bit balling in sticky formations thereby enabling even higher Rates of Penetration (ROP). Ultimately, this study underscores the potential for scaling this holistic approach to effectively address the challenges associated with efficiently cleaning out casing equipment and drilling in complex geological environments.

This paper presents a rounded approach to drill bit design by integrating downhole at-bit data, hydraulics optimization and innovative cutter design to tackle drilling in highly challenging environments. Using this multi-faceted approach to bit design offers practical solutions for improving drilling efficiency and reducing Non-Productive Times (NPT) for customers.
Delineating and Decoding the Qualitative Interpretation of Gas Lift Instabilities in the Continuous Gas Lift Wells of Mehsana
Authors: Chanchlani K. , Sukanandan J. , Devshali S. , Kumar V. , Kumar A.
Published: February 2025

Gas Lift Real Time Monitoring System (RTMS) provides the real-time gas injection pressure, casing head pressure, and tubing head pressure of gas lifted wells. This system captures the surges in the casing head pressure and/or tubing head pressure, causing chaotic and undesirable fluctuations. The production from continuous gas lift wells can be severely unstable and behave as intermittent gas lift. The trend of production loss is the norm for unstable gas lift systems. The oscillating flow affects the processing equipment and can lead to grid shutdown. Casing heading is prominent instability in the low casing head pressure wells, producing a flower-like pattern in the RTMS monitoring of the continuous gas lift wells. Hydrodynamic slugging can induce the dynamic well loading. Analysis also indicated the possibility of density wave oscillation-type dynamic instability due to flowline bean restriction at the surface. Triggering the simplified approach of active using contemporary methods creates marvel in the continuous gas lift installations. The stable operational range of the wells can be construed by mapping the types and characteristics of different gas lift instabilities. The types of gas lift instabilities and their characteristics are recognized at the field scale from the RTMS. The discussed case studies steered the surge in the production rate using innovative methods and demarcated the wells with tubing annulus communication problem. The subsequent analysis and remediation utilized the novel multiple converging gas lift ports downstream of the gas lift valve (GLV), gas injection rate optimization, and rocking using the tubing connected from annulus to tubing. The successful application of this method supplemented with the cases staggered the gas lift network intricacies by detecting the non-flowing wells. Significant production gain is realized by daily monitoring and optimization of 120 continuous gas-lifted wells.
Enhancing Wellbore Positioning and Operational Efficiency Through Advanced Surveying Technologies in ERD Project
Authors: Nunez L. E. , Rodriguez J. A. , Hoyos J. M. , Zachman N. , Campos N. , Lopez C. , Villavicencio J.
Published: February 2025

This paper illustrates the optimized way medium and extended reach wells were drilled with a focused strategy on caring for the environment with the use of innovative technologies. The acquisition of redundant well surveying was processed using all available data to obtain the most accurate position (MAP). Post processing of high density definitive dynamic surveys (DDS) allowed the evaluation and analysis of wellbore tortuosity. The impact on the operational results of cutting-edge survey processing is to reduce well drilling risk and decrease the drilling and environmental costs (CO2 savings).

In Colombia's Llanos Orientales Basin, the development of an environmentally restricted reservoir required advanced high-displacement and extended-reach drilling strategies. Complexities arise from the high density of drilled wells, which necessitates precise trajectory management to avoid collisions and ensure safe reservoir access. To tackle this, several technologies have been applied, starting with Gyro technologies (Drop and while drilling) and also after an economic evaluation recommended acquiring local magnetic In field reference measurements, which allowed the reprocessing of magnetic surveys (MWD) using In-Field Referencing (IFR). This reduced positioning errors associated with crustal magnetic variations, alignment corrections for the BHA (SAG), and multi-station analysis (MSA) for statistical accuracy.

Applying IFR reduced drilling risk by reducing EOU not only in while drilling wells but also from previous drilled wells with MWD technologies. This led us to reduce trajectory tortuosity and complexity from planning, improving well positioning and helping avoid remedial costs by minimizing collision risks. These methods also enabled enhanced wellbore positional certainty, allowing safer, continued operation without halting neighboring wells. As a complement to this magnetic model data acquisition technique, an innovative processing known as MAP (Most Accurate Position) was carried out in the last extended well drilled. This approach integrates surveys data obtained from gyroscopic tools, specifically Coriolis Vibratory Gyroscope (CVG), with magnetic measurements corrected via IFR in a holistic model, yielding a significantly smaller uncertainty ellipse with minimal associated error.

It is the first time that this type of modeling has been used in Colombia, which has allowed reducing the size of uncertainty ellipses by up to 50% for both the well under execution and the existing ones. This processing can be applied in real-time without impacting the development of the operation, maintaining less tortuous and better-positioned drilling trajectories. And to add a novel processing, an specific tortuosity analysis was carried out using MWD DDS measurement, to understand in a better way the casing runs, and the impact on the tortuosity in the hole pass through size.
Machine Learning Models for Permeability Prediction Using Petrophysical Well Logs: A Novel Approach
Authors: Alatwah Saleh
Published: February 2025

This study investigates the application of machine learning algorithms for permeability prediction in diverse geological settings, focusing on carbonate and clastic reservoirs. Four machine learning algorithms—Support Vector Regression (SVR), Random Forest (RF), XGBoost, and LightGBM—were evaluated using datasets from the Costa Field (carbonate) and Volve Field (clastic). The research emphasizes the impact of feature engineering and hyperparameter tuning on model performance. Results show significant improvements in prediction accuracy, with R2 scores reaching up to 0.8 for individual wells in the Costa Field and ranging from 0.76 to 0.84 across different formations in the Volve Field. The study highlights the potential of machine learning as a cost-effective and efficient alternative for permeability prediction, especially in scenarios with limited core data availability.
A Novel Technique to Control Sand Production from Mature Consolidated Sandstone Formation by Using Sodium Phosphate to Enhance the Formation Strength
Authors: Alameen M. Basheer , Almansour Abdullah , Elraies Khaled A. , Mohyaldinn Mysara , Eshaba Abdulmuez
Published: February 2025

It is known that sandstone formations often experience significant sand production when water saturation increases, especially in mature fields. Essentially, the amount of sanding mainly depends on the change in rock strength. Therefore, this paper examines the silica dissolution mechanism to establish a correlation between silica dissolution and rock strength as a function of water saturation. Additionally, the study explores the potential of sodium phosphate as an inhibitor to mitigate dissolution and enhance formation strength. A combination of static and dynamic experimental approaches was employed to establish a correlation between silica dissolution and rock strength as a function of water saturation. In the static approach, crushed core fine and coarse particles are utilized under different reservoir conditions to examine the silica dissolution. For the dynamic core flood test, silica dissolution was investigated as a function of water saturation in the presence and absence of sodium phosphate as an inhibitor to prevent dissolution. Then, core strength was recorded using unconfined compressive strength. Silica dissolution was detected by using a UV-Vis spectrophotometer. The results from the static experiments revealed that silica dissolution is mainly influenced by the pH and temperature of water. Additionally, water salinity impacts the amount of silica dissolved, indicating sodium chloride and potassium chloride have a higher effect on dissolution than magnesium chloride and calcium chloride. Moreover, fine particles have more dissolution compared to coarse particles. The core flooding test shows a clear relationship between increased water saturation and accelerated dissolution rate, consequently reducing core strength. Core strength decreased from 35.4 MPa (dry condition) as water saturation increased from 20% to 100%. This decrease was accompanied by an increase in silica dissolution. The reduction in core strength was consistent, reaching a maximum drop at 100 % water saturation, where it declined to 19.5 MPa, coinciding with the peak rate of silica dissolution, measured at 14 mg/l. Regarding the inhibitor effect, sodium phosphate notably suppresses silica dissolution, particularly at concentrations of 0.1 wt% and 1 wt%. This inhibition effectively maintains core strength near its original value. This study contributes novelty by understanding the main reasons contributing to sand production in mature, consolidated sandstone as water saturation increases. Additionally, it proposes an innovative approach to mitigate sand production by introducing an inhibitor (sodium phosphate) to control the reduction in sandstone strength through reducing silica dissolution.
Optimization Method and Application of Deliverability Testing for Low-Permeability Gas Condensate Wells
Authors: Yang Yi , Cao Yang , Yu Weiqiang , Zhang Guohao , Yang Zhicheng , Lv Zuobin , Xing Shanchuan
Published: February 2025

The deliverability testing of gas wells is an important technology to master the scale of oil and gas reservoirs and assist in making development plans. Conventional reservoirs generally use storage pressure gauges for testing, and through deliverability testing with multiple rates, the deliverability equation is obtained using binomial regression method. For low-permeability condensate gas reservoirs, abnormal binomial productivity equations often occur during well testing and calculation. We will analyze the main influencing factors and summarize a targeted testing and interpretation plan based on the dynamic parameters of the wellhead.

By analyzing the production performance of low-permeability condensate gas wells during testing, it has been determined that the main influencing factors that cause anomalies in calculating the binomial productivity equation include: average formation pressure error, condensate oil precipitation, unreasonable testing system, etc; Based on the critical flow rate calculating, production gas oil ratio and wellhead pressure of the test well, the minimum and maximum testing system thresholds for condensate gas wells were determined, which assisted in setting reasonable intervals for testing rates and formed a guiding process and method for selecting deliverability testing sequence.

For the deliverability testing of low-permeability condensate gas wells, the energy replenishment in the inner layer of the gas release radius is slow, and the bottom hole flow pressure of the large oil nozzle cannot reach stability for a long time; And in many cases, the pressure difference between formation pressure and dew point pressure is very small. The condensate gas reservoir begins to precipitate condensate oil in the early stage of development, which disrupts the correspondence between production rate and bottomhole pressure, leading to abnormal calculation of the binomial deliverability equation. Dynamic data such as wellhead oil pressure, production gas oil ratio, and production stability can reflect the true flow state of the reservoir and wellbore under different testing rate. We use these dynamic data of the wellhead and the phase characteristics of the fluid itself to determine whether the testing rates is reasonable and whether it has reached a stable state. Through actual test well examples, it has been verified that most of the wells in the target reservoir conform to the above summarized rules, providing an efficient and accurate guidance method and standard process for on-site deliverability testing and deliverability equation calculation.

Our future work will be to study and summarize other types of test wells that often lead to abnormal deliverability testing, such as low porosity and permeability, water and gas wells, etc. This will provide excellent real-time guidance for on-site testing.
NextGenAI-Driven Enhanced Observability & Security Suite for Edge Computing Fleet
Authors: Arabi Hakim , Liu Minyue , Temer Elias , Misha Anna , Xu Lina
Published: February 2025

The ongoing adoption of Industry 4.0 in the oil and gas sector, especially within drilling operations, has significantly accelerated the deployment of digital technologies at the edge. With this rapid growth, there is a pressing need for an effective framework to proactively monitor edge deployments and enhance operational resilience. In 2023, an advanced monitoring system featuring Elastic Fleet Management was introduced to address this need, combining real-time performance tracking with incident alerting capabilities integrated with tools such as PagerDuty. This approach established new benchmarks for reducing nonproductive time (NPT) and improving service delivery by providing site reliability engineering (SRE) teams with critical tools to maintain high standards amid continuous expansion.

Building on this foundation, we propose an artificial intelligence (AI)-powered framework that goes beyond traditional observability. Leveraging autonomous capabilities, the system will intelligently analyze a wide range of logs-including software, system, and firewall activities-enabling proactive issue detection and self-management. The next phase involves the deployment of generative AI (GenAI) enhancements, capable of not only identifying anomalies but also autonomously resolving detected issues without manual SRE intervention. This evolution marks a shift toward fully self-managing operations, setting the stage for a transformative leap in operational efficiency, safety, and service quality across geographically distributed drilling sites.
Drone-Based Solutions for Asset Integrity: Development of NDT Drone and 3D FPV Payload for Asset Remote Testing and Inspection
Authors: Campaci R. , D'Angelo S. , Borzone T. , Madia L. , Favaretto M. , Lippiello V. , Vignali A.
Published: February 2025

This paper presents two advanced drone-based solutions developed for asset integrity and industrial inspection applications: a Non-Destructive Testing (NDT) drone and a 3D First-Person View (FPV) camera system. The NDT drone integrates a lightweight robotic arm with ultrasonic probe as end effector for thickness measurements of metal surfaces. The 3D FPV system provides stereoscopic vision with an automatically vergence-compensated zoom for enhanced depth perception during remote inspections. In the field of aerial inspection technologies those solutions represent significant advancements, offering improved capabilities and accuracy. This document aims to detail the design, implementation, and testing of both the solutions.
Well Trajectory Optimization has been Successful in Delivering 1000 BOPD by Revisiting Seismic Pre-Stack Depth Migration PSDM to Minimize Structural Uncertainty. Case Study: BMAX-12ST Infill Well, Brown Field, Pertamina Offshore, Northwest Java
Authors: Fransisco Lambertus , Vico Hendro , Setiawan Priantoro Kartika Dani , Dewi Yasinta , Radiansyah Sandra
Published: February 2025

For more than 12 years, the Brown field has not carried out an infill well drilling campaign. Production in this field only involves maintaining the production base through workover, well work, and zone change activities. To increase the recovery factor in the Brown Field, the team carried out a drilling campaign for 4 infill wells to produce oil from BM-35A and BM-36A zones, of which 2 wells were executed in early 2023.

Determining optimal infill well placements in heterogeneous mature reservoirs is a critical and challenging task that has a significant impact on the recovery performance and economic revenue of subsurface remaining oil resources. An integrated framework is revisited to attain the best-obtained target location based on updated PSDM anisotropy and hydraulic fracturing strategy. In order to achieve the target, the new PSDM was reprocessed internally to rebuild the VTI (Vertical Transverse Isotropy) velocity model using a high-resolution grid in order to solve velocity anomalies near thin carbonate flanks. This result was confirmed by the well velocity trend.

The new PSDM has captured that the old trajectory crossed a minor fault and could potentially penetrate the lower 30 feet of the down-thrown structure, impacting the hydraulic fracturing strategy. Based on this seismic, we optimize the well trajectory to a new sweet spot by shifting the hit point to the higher area in the east, a geologically formed three-way dip closure caused by a minor fault. The target location has a thicker reservoir based on sandridge facies distribution. For optimization purposes, the hydraulic fracturing job incorporates a comprehensive study of geomechanics and low-viscous fluid utilization, which led to optimum fracture geometry and less fluid residue. This study successfully supported the hydraulic fracturing strategy and delivered 1000 BOPD initial production which is three times higher than the prognosis.

The success of the infill well occurs due to data integration and lessons learned from existing wells. The results of the optimization of the BMAX-12ST well trajectory not only provide good oil production but also increase the reserve and economy of the well.
Prediction Method and Application of Engineering Sweet Spot for Horizontal Wells
Authors: Li Yunzi , Yu Chenlin , Liu Tianbo , Huan Yaqi , Luo Cheng , Yao Dandan
Published: February 2025

Horizontal well staged fracturing is an important method for the development of unconventional reservoirs. It has been proved by field practice that the effect of fracturing is not only related to reservoir oil and gas content, but also related to the fracability of the reservoir, that is, the cluster perforation in"Engineering Sweet Spot " (ESP) area with strong fracability can ensure the uniform opening of each cluster and maximize fracturing effect. Traditional engineering sweet spot evaluation methods involve logging interpretation and core experiment，which have disadvantages such as high investment, long interpretation periods, discontinuous test data and in accurate interpretation results, resulting in the insufficient consideration of fracability. Based on this, the "Mechanical Specific Energy" method is innovatively introduced to identify ESP by using the mechanical specific energy value that represents the energy consumption of the drill bit to break a unit volume of rock, to establish a wellbore trajectory mechanical profile and reflects the rock mechanical properties of the in-situ formation and evaluate rock fracability. This technique is low-cost, highly operable, and can be used as a new method for pre-fracturing evaluation of horizontal wells, optimizing perforation positions and other related fracturing parameters. It has currently been tested in tight sandstone, shale and deep coal seam gas reservoirs in China, providing strong support for the exploration and quality improvement of fracturing technology for unconventional reservoir.
Integrating Economic Simulation Through Reverse Engineering: A CO2-EOR Case Study Analysis in Mature Oil Field
Authors: Utaminingdiah S Debby Halinda , Muraza Oki , Sundja Ali , Pranata Ngurah Aryadhita , Susanta Pande , Palupi Annisa
Published: February 2025

This paper presents an innovative approach to Carbon Dioxide (CO2) Enhanced Oil Recovery (EOR) strategies, combining an economical simulation methodology with a reverse engineering approach. The study delves into the intricacies of CO2EOR, leveraging reverse engineering principles as a methodological cornerstone for devising comprehensive economic simulation models. By integrating reverse engineering, this analysis aims to uncover underlying mechanisms, refining the precision of economic assessments and fostering sustainable CO2 EOR strategies.

This research endeavors to holistically integrate the economical simulation approach, reverse engineering methodologies, and considerations from CAPEX, OPEX, and utilization factors. This integration aims to offer a comprehensive understanding of CO2 EOR strategies, paving the way for optimized resource utilization, improved cost-efficiency, and sustainable technical and environmental practices within the realm of enhanced oil.

The analysis also underscores the significance of basis calculations derived from utilization factors. By integrating utilization factors into the economic simulation models, the study aims to refine the accuracy of cost-benefit analyses and investment projections. These calculations, based on rigorous reverse engineering principles, provide insights into resource allocation, efficiency improvements, and overall economic feasibility in CO2 EOR endeavors.

In conclusion, the integration of an economical simulation approach with reverse engineering methodologies, complemented by considerations from CAPEX, OPEX, and utilization factors, presents a holistic framework for refining CO2 EOR strategies. This approach aims to guide industry stakeholders in developing more informed and sustainable practices, aligning economic viability with environmental stewardship in CO2 utilization for enhanced oil recovery. The findings underscore the significance of a multifaceted approach, integrating diverse methodologies to address the complexities of CO2 EOR, thereby fostering a more sustainable energy landscape.
Breaking Barriers: Forging A Strategic Path for CCS Through Innovative Management of Other Contaminants Beyond CO2
Authors: Zamri W. Wan Mohd , Yasin M. Muhammad , Hashim W. Wan , Sani A. Md
Published: February 2025

Planning for CCS (Carbon Capture and Storage) development involves end-to-end evaluation from source to storage. When CCS is brought up as a topic, the conversation tends to center on managing CO2 (Carbon Dioxide). However, emission sources consist not only CO2, but also other contaminants and impurities such as H2S (Hydrogen Sulfide), SOx (Sulphur Oxide) and NOx (Nitrogen Oxide) and H2O (water). The origin of the emission determines the type of impurities present. For example. SOx and NOx only appears from post combustion sources but not from Acid Gas sources (recovered from the AGRU (Acid Gas Recovery Unit)), and H2S often present from Acid Gas source. These impurities are required to be manage in meeting the requirements of both subsurface (e.g. injectivity) and surface (e.g. technology limitation); in which will add to the process complexity, full cycle cost, HSSE (health, safety, security, environmental) risk, operational complexity, etc. Due to this fact, proper trade-off analysis needs to be conducted to generate the best end-to-end development scheme, whilst considering the suitable technologies to manage these impurities and their associated waste/by-product management. This development scheme should not only consider the type of emissions that it will initially handle but should also considers the future emission sources that plans to tie-in to it. Consideration should also be on the sequestration sites’ requirements since future sites may impose a different set of requirements (e.g. different acceptance of impurity concentration). It is then crucial to conduct project framing, concept identification, concept selection and storage site identification during the initial stage of the project. This paper shares a case study on the development of a CCS hub whilst discusses the approach taken to develop its end-to-end configuration and the consideration of available treatment technologies to manage its impurities thus meeting the transportation and sequestration requirements.