bluuebunny/crossref_metadata_2025_split huggingface dataset:
KAJIAN KADAR KORTISOL SAPI YANG DIPOTONG DI RUMAH POTONG HEWAN YOGYAKARTA
Authors: S Sarmin , Hana Amelia , Heru Fibrianto Yuda , Mona Airin C. 
Published: October 2023

Penelitian ini bertujuan mengkaji tingkat stres sapi yang dipotong di Rumah Potong Hewan (RPH) Yogyakarta. Dalam penelitian ini
digunakan 20 ekor sapi yang dibagi menjadi dua kelompok, yakni kelompok sapi yang dilakukan restraint dengan restraining box tipe Mark 1
(K1, n=13) dan kelompok sapi yang dilakukan restraint dengan metode konvensional (K2, n= 7). Masing-masing kelompok diambil darahnya
sebelum dan saat dipotong untuk diperiksa kadar kortisol dengan enzyme-linked immunosorbent assay (ELISA). Rata-rata kortisol sapi betina
sebelum vs setelah restraint pada K1 dan K2 masing-masing adalah 55,64±52,13 vs 21,23±20,63 ng/ml dan 127,48±150,19 vs 106,28+75,39
ng/ml. Rata-rata kortisol sapi jantan sebelum vs setelah restraint pada K1 dan K2 masing-masing adalah 40,28±38,12 vs 24,21±17,21 ng/ml dan
49,51±38,67 vs 69,62±63,98 ng/ml. Rata-rata kadar kortisol tanpa memperhatikan jenis kelamin pada K1 dan K2 masing-masing adalah
79,50±88,50 vs 95,80±69,69 ng/ml (P>0,05). Disimpulkan bahwa tidak terdapat perbedaan kadar kortisol sebagai indikator stres pada sapi-sapi
yang dipotong di RPH Yogyakarta yang mengalami restraint dengan restraining box tipe Mark 1 dan restraint metode konvensional.
ANALISIS KEMIRIPAN GENETIKA ANTARA KAMBING PERANAKAN ETTAWA HASIL KAWIN ALAM DENGAN INSEMINASI BUATAN BERDASARKAN RAPD
Authors: M Mudawamah , Retnaningtyas I.D. , Wadjdi M.F. , B Badriyah , Susilowati S. , A Aulanni’am , Ciptadi Gatot 
Published: October 2023

Analisis genetika menggunakan random amplified polymorphic DNA (RAPD) untuk mengetahui kemiripan genetika antara kambing
peranakan Ettawa (PE) hasil inseminasi buatan (IB) dan kawin alam (KA). Hasil penelitian menunjukkan bahwa dari 20 primer OPA hanya 10
primer yang bisa digunakan untuk mengamplifikasi fragmen deoxyribonucleic acid (DNA) dalam kelompok kambing PE, yang terdiri atas 21
kambing hasil KA dan 19 kambing hasil IB. Berdasarkan profil DNA yang diperoleh dan hasil analisis dengan software numerical taxonomy and
multivariate analysis system (NTSYS) disimpulkan bahwa hubungan genetika antara kambing PE hasil kawin alam dengan inseminasi buatan
adalah sebesar 48% dan dikategorikan rendah.
IDENTIFIKASI TOKSOPLASMOSIS PADA FESES KUCING SECARA MIKROSKOPIS DAN SEROLOGIS
Authors: Nurcahyo Wisnu , Prastowo Joko , P Priyowidodo 
Published: October 2023

Penelitian ini bertujuan mengetahui tingkat prevalensi Toxoplasma pada kucing dan menyusun basis epidemiologis pada kucing yang sangat
penting dalam peranannya sebagai hospes definitif toksoplasmosis. Sampel serum darah dan feses kucing digunakan dalam penelitian ini. Metode
pemeriksaan menggunakan card agglutination Toxoplasma test (CATT) Pastorex™ Toxo kit dan metode sentrifus. Data yang dip eroleh
dianalisis secara deskriptif. Hasil penelitian menunjukkan bahwa tingkat prevalensi Toxoplasma dengan pemeriksaan serum darah kucing sebesar
6,8% dan pemeriksaan feses sebesar 9,4%. Infeksi toksoplasmosis yang terjadi pada kucing secara umum dari pemeriksaan klinis tidak
mempunyai gejala yang spesifik.
DIFERENSIAL LEUKOSIT DAN KETAHANAN HIDUP PADA UJI TANTANG Aeromonas hydrophila IKAN NILA YANG DIBERI STRES PANAS DAN SUPLEMENTASI TEPUNG DAUN JALOH DALAM PAKAN
Authors: S Sugito , N Nurliana , Aliza Dwinna , S Samadi 
Published: October 2023

Penelitian ini dilakukan untuk mengetahui efek suplementasi tepung daun jaloh (Salix tetrasperma Roxb) (TDJ) dalam pakan terhadap nilai
diferensial leukosit dan ketahanan hidup setelah uji tantang dengan Aeromonas hydrophila pada ikan nila (Oreochromis niloticus) yang dipelihara
pada akuarium diberi peningkatan suhu lingkungan. Penelitian ini menggunakan rancangan acak lengkap faktorial 2x4. Faktor pertama adalah
penambahan jumlah tepung daun jaloh dalam pakan yaitu: 0% (P1), 5% (P2), 10% (P3), dan 15% (P4) dari berat pakan dan faktor kedua adalah
suhu air dalam akuarium yaitu 29±1 C (S1) dan 35±1 C (S2), sehingga didapat 8 kombinasi perlakuan yaitu: P1S1, P2S1, P3S1, P4S1, P1S2,
P2S2, P3S2, dan P4S2 dengan ulangan 10 ekor ikan per perlakuan. Sebanyak 80 ekor ikan nila dengan bobot badan 40-50 g secara acak dibagi ke
dalam 8 perlakuan. Perlakuan dilakukan selama 30 hari. Pada hari ke 31 dilakukan pengambilan sampel darah dan uji tantang. Hasil penelitian ini
menunjukkan bahwa suplementasi pakan dengan TDJ pada konsentrasi 5-15% tidak berpengaruh terhadap nilai diferensial leukosit ikan nila yang
dipelihara pada suhu lingkungan yang berbeda. Suplementasi TDJ dalam pakan sebanyak 5-10% dapat mengurangi kematian ikan akibat infeksi
Aeromonas hydrophila terutama pada suhu 35±1 C. Dari hasil penelitian ini dapat disimpulkan bahwa ikan nila yang dipelihara pada akuarium
dengan suhu air 35±1 C dan diberi pakan yang disuplementasi TDJ 5-10% dapat meningkatkan daya tahan tubuh ikan nila.
10. Incidency And Fasciolosis Risk Factors In Cows In Pringsewu District, November 2019-January 2020
Authors: Valinata S , Susilo J , Pramono B , Fadrial Karmil T. , Hamzah Abdullah , A Gani Fadli , Jalaluddin M. , Harris Abdul 
Published: October 2023

Fasciolosis is a parasitic disease caused by infection with Fasciola sp. Fasciolosis has a big impact due to death, reduction in life weight, loss of labor, forced cattle to be removed, decreased milk production and medical costs. Predisposing factors to fasciolosis include age, maintenance system, season and species. The purpose of this study is to determine the Incidency of Fasciola sp. in beef cattle and identify risk factors that influence in the Pringsewu District unit. Samples were obtained from four sub-districts in Pringsewu District, with a total sample of 120. Samples were tested in the parasitology laboratory Lampung Veterinary Institute by sedimentation method. The results of these tests found 36 positive samples of Fasciola sp. (30%). Results of data processing, the factor of a semi-intensive maintenance system has a risk of 3.82 times compared to an intensive maintenance system (OR = 10.16; P-value = 0.007; 95% CI = 1.63 - 8.94). The absence of a mass deworming program has a 1.38-fold risk compared to those with a mass deworming program (OR = 0.63; P-value = 0.5; 95% CI = 0.63 - 3.01). Female gender has a risk of 1.33 times compared to male sex (OR = 0.22; P-value = 0.00003; 95% CI = 0.40 - 4.45). Adults have a 1.57-fold risk compared to young age (OR = 0.95; P-value = 0.018; 95% CI = 0.63 - 3.90). The conclusion of this study is the Incidency of fasciolosis in Pringsewu Regency is 30% with the highest Incidency occurring in Adiluwih sub-district by 50%. The intensive maintenance system has significant results in cases of fasciolosis. Mass deworming programs, gender and age have no significant effect on the incidence of fasciolosis. The combination of an intensive maintenance system with the provision of an appropriate anti-helminthes is the best combination to deal with cases of fasciolosis in Pringsewu District.
6. Erythrocyte Profile of Male Piglet Aged 31-Day Old (Sus scrofa domestica) in the Laboratory Animal Management Unit IPB University
Authors: Gunanti Gunanti , Ekastuti Damiana Rita , Rahmiati Dwi Utari , Falah Muhammad Fajrul , Erwin Erwin 
Published: October 2023

Domestic pig (Sus scrofa domestica) is well known as animal that used frequently as a research animal due to their similarity to human both in terms of anatomy and physiology. Information regarding standard value of domestic piglet’s hematology in Indonesia are still limited. The aim of this study was to obtain erythrocyte profiles of domestic piglets in Animal Laboratory and Research Unit, Bogor Agricultural University. The results of this study are expected to be used as an erythrocyte profiles reference of domestic piglets in Indonesia. Blood samples were collected from six male piglets in Animal Laboratory and Research Unit, Bogor Agricultural University through auricular vein, then the samples were put into a vaccuum tube containing anticoagulant (K3EDTA) for further test using hematology analyzer. The parameters used in this study consist of erythrocyte count, hemoglobin concentration, hematocrit, and erythrocyte indices. Data were analyzed descriptively in the form of mean ± standard deviation (minimum–maximum). The results of this study showed that the average of erythrocyte counts were 6,42 ± 1,03 millions/µL with 8,30 ± 1,51 g/dl hemoglobin concentration, hematocrite 29,80 ± 5,10%, MCV 46,47 ± 1,62 fL, MCH 12,83 ± 0, 65 pg, MCHC 27,75 ± 0,71 g/dL, and RDW 28,87 ± 3,86%.
Enhancing Waterflooding Performance Using a combined Data Driven and Physical Modeling Approach
Authors: Grijalva R. , Tellez C. , González C. , Parra J. , Eremiev F. , Florez F. , Frorup M. , Khataniar S. , Biniwale S. , Elfeel M. , García-Teijeiro X. 
Published: October 2023

Abstract
The waterflooding implementation in an Amazonian oil field has been a game-changer in the field development strategy, becoming the main production drive mechanism and investment focus. About 40% of the daily oil production comes from waterflooding projects. Hence, it is imperative to preserve integrated reservoir and field operation management through a customized pattern balancing methodology that accounts for a need to optimize the injection-extraction relationship minimizing early water breakthrough and avoiding operational issues.
This article presents a waterflooding pattern analysis tool that combines data-driven and physics-based Machine Learning models with a smart optimization workflow. This publication focuses on the theoretical foundation of the deployable prototype, which is based mainly on the application of an innovative physics data driven and ML model as well as its testing procedure. The tool has been tested in an area with nine deviated water injector wells and thirty-six deviated/horizontal producer wells, enabling quick analysis response based on different What-If and optimization scenarios. Users can assess the impact on production and waterflooding response by modifying operational parameters such as injection rates or liquid flow rates, or how to react if an oil-producing/water-injection well fails.
The engineering and operation teams use and share a tool that avoids personalized spreadsheets with off-dated information and non-auditable metrics behind the results. The data preparation capabilities of the new tool speed up the interaction of data-driven and physics models and make a more efficient data flow process integrated with Capacitance Resistance Model (CRM) (Yousef et al. 2005) analytic model. The teams experienced a step-change in productivity by reducing a complete iteration analysis from 23 to 5 hours. The optimization workflow generates possible injector-producer relationships for pattern analysis and short (weekly) and mid-term (90-day) forecasts. Users can test different scenarios, choose the optimum, and submit subsurface focused well-operating recommendations to field operations.
Purging Gas Plant Flare System Using Gas Turbine Generators Exhaust Emissions – A Novel Approach
Authors: Ali Mohamed G. , Besheer Ahmed H. , Hassanean M. H. M. 
Published: October 2023

Abstract
Within gas plant treatment operations; there are large amounts of gases used to sweep its flare piping network as purge gas to prevent air ingress and protect the system from back fire. The economic and environmental considerations to reduce greenhouse gases (GHG) & save fuel are driving organizations to find alternative solutions to replace fuel gas purge using other safe & available sources.
Fundamentally, the main electrical power supply for a gas processing plant are Gas Turbine Generators (GTGs) which continuously produce large amounts of Carbon Dioxide (Co2) & Nitrogen (N2) emissions with flowing temperatures of approximately 400-500° C. Collecting these emissions in a waste heat recovery conduit & heating the hot oil medium (the main source of thermal energy to gas plant heat users) and/or Mono Ethylene Glycol (MEG) (used as hydrate inhibitor) could be used as alternative solution for flare purging. This allows us to exploit this exhaust thermal energy efficiently as well as reducing the exhaust emissions temperature. The emissions will be then compressed from its normal atmospheric pressure to around 3.5 barg to meet the flare network purging requirements of positive pressure, helping to sweep the flare header preventing atmospheric air ingress. The analysis of emissions which was done by independent third party showed high percentage of Oxygen (O2) around 14%; which makes it unsafe to be used for flare purging purpose. Oxygen membrane put forward to overcome this challenge and remove this amount of Oxygen & purge flare network by almost pure Inert gases. This proposal being discussed here is to capture all quantities of the exhaust gas emissions to be the source of an inert gas utilized within flare systems, for purging purposes & saving environment as well as fuel gas flaring cost.
Reactive Transport Modelling for a More Rigorous Scaling Risk Evaluation and Mitigation in a Giant U.A.E Carbonate Field
Authors: Baraka-Lokmane S. , Wang X. , Bigno Y. , Decroux B. , Olsen J. , El Hassan M. , Younes D. , Singleton M. , Mackay E. 
Published: October 2023

Abstract
After years of peripheral water injection with no significant scaling issues, pattern water injection and water injection at the GOC (Inner Ring Water Injection, or IRWI) are planned to be implemented in various reservoirs of this giant field. In a few pilot pairs, seawater injection is already taking place at a smaller spacing than historically applied. This allows testing of the injection schemes and assessment of the effect of heterogeneities before deploying pattern water injection and IRWI in the longer term. In this context, the scaling risk at the producer has been evaluated.
The scaling risk assessment carried out with a thermodynamic prediction model has shown both SrSO4 and CaSO4 risks due to the mixing of formation water with injected seawater. This modelling fails to take account of geochemical reactions occurring in the reservoir; consequently, the scaling risk is usually overestimated. In this work, a reactive transport reservoir modelling tool has been used to investigate the impact of injection water composition on the scaling risk at the producer. In this model, the following are incorporated: aqueous component transport, partitioning of CO2 between aqueous and hydrocarbon phases, aqueous speciation reactions, mineral precipitation/dissolution reactions and heat transport. The simulations have considered full and reduced sulfate seawater injection with and without the presence of a thief zone. When full seawater is injected, the producer faces a risk of CaSO4 and no risk of SrSO4. This is the consequence of various coupled in situ mineral reactions, including dissolution and precipitation of carbonates and sulfates, which depend on propagation of temperature and CO2 desaturation fronts, as well as the other aqueous components. With the presence of a thief zone, SrSO4 presents a small scaling risk soon after seawater breakthrough; CaSO4 deposition has an initial peak soon after SrSO4 scaling. When reduced sulfate seawater is injected with and without the presence of the thief zone, there is no scaling risk for either SrSO4 or CaSO4. The results obtained by the reactive transport modelling tool match the general trends of scale deposition observed in the pattern injection well pair pilot to date. In this pilot a thief zone was identified in the vicinity of the injector and has contributed to accelerated water breakthrough at the producer. A peak in SrSO4 scale was observed in the early phase of water production, in agreement with the modelling results. A geochemical transport reservoir model was able to provide a full picture of seawater breakthrough at the production well, considering the impact of the thief zone. The required level of sulfate in the injected seawater, to prevent sulfate scales at the producer, has been determined. These results will help determine the scale mitigation strategy for the future development of this field.
Multi-Objective Optimization of Crude Oil Stabilizing Process Using Data-Driven Models
Authors: Al Rashid M. 
Published: October 2023

Abstract
Oil and Gas remain critical components of the world's energy supply mix and there is an increasing need for maximizing energy efficiency and minimizing the environmental impact associated with hydrocarbons (1). To address the trilemma of sustainability issues, including resources depletion, energy and oil diminution as well as ecosystem degradation, Abqaiq Plants, where over 5% of global oil production is processed, has developed a novel 3D interface with machine learning (ML) applications that drives a multi-objective optimization of crude oil stabilizing process to improve efficiency and GHG while maximizing economic and environmental sustainability (1). Machine Learning (ML) Model was developed and trained to understand optimal operating ranges of crude oil stabilization units and identify abnormalities and performance degradation. Bearing in mind the operation of world's largest array of stabilization columns, a tool was developed and embedded in a 3D platform to identify optimal feed distribution and energy usage in real-time. A second advanced data analytics tool was developed in-house for shell and tube (S&T) heat exchanger to predict leaks in real time to avoid product contamination and was embedded within the same platform. This 3D Visualization platform is used to display analysis outcome in a user-friendly display. Utilizing in-house expertise in designing tools to achieve objective in an accelerated manner as part of an agile process to support high performance and scalability.
Automated Well Log-Based Prediction of Formation Tops: Case Study of Norway Offshore Data
Authors: Shakirov A. B. , Lipko A. , Mezghani M. 
Published: October 2023

Abstract
A geological formation represents a combination of certain genetic types of rocks associated with the proximity of the sedimentation conditions occurring at certain stages of development of the main structural elements of the Earth's crust. In petroleum engineering, the knowledge on spatial distribution of formations is necessary for many applied tasks including construction of hydrocarbon field geological model, petrophysical modelling, basin and petroleum system modelling, calculation of hydrocarbon reserves, planning field development strategy, and many others [Ahmed, 2018; Garb, 1985].
There are different approaches in upstream industry (mainly in geophysics) to determine spatial distribution of formations and depth intervals of wells where the formations are altered. One of the main geophysical methods that enables reliable prediction of spatial distribution of the formation is seismic survey. The main benefit of the seismic survey is that it covers large areas and has solid geomechanical background to detect formation boundaries [Vail, 1987]. However, the ground seismic data has two advantages: (1) relatively low vertical resolution (~ ±20 m) and (2) requires well logging data to convert recorded signal (arrival time of sonic waves) to the depth values. During drilling of boreholes, the information on formation tops can be inferred from visual analysis of drill cuttings that are recovered from wells. Although that approach is cost-effective and has a good potential to be automated in real-time mode [Ismailova et al., 2022; Tolstaya et al., 2023], there are several disadvantages to be considered. The process of recovering drill cuttings from in situ conditions to the surface is complicated by many aspects, including well inclination, distribution of cuttings sizes, properties of drilling fluids, etc. [Zakerian et al., 2018]. Thus, this approach exhibits high uncertainties in absolute values of depth intervals. Moreover, in many cases the alteration of formations cannot be detected visually and requires laboratory support. To overcome the problems mentioned above, petroleum engineers conduct well logging. The main advantages of well logging are (1) high vertical resolution (~ ± 0.5 m) and (2) coverage of large depth intervals during investigations.
Robust, Economical, And Agile Well Construction Commissioning of Various Artificial Well Types in South of Oman
Authors: Mashrafi Salim Al , Naabi Omar AL , Azkawi Hafidh AL , Harrasi Said Al 
Published: October 2023

Abstract

Objectives/Scope
PDO is using novel artificial well types and Enhanced Oil recovery (EOR) technologies, i.e., long stroke, thermal, Polymer, etc. which call for managing the exotic materials, complex interfaces by adopting the advanced engineering and construction management techniques for timely commissioning/delivery of wells within stipulated budget.
HSE is imbedded and given, the following are the major value drivers.
The objective of this paper is to explain the methods and techniques that has been developed and implemented to realize the stipulated value drivers on complicated oil well types.

Methods, Procedures, Process
Below Methodology adopted to achieve the robust well delivery.

Results, Observations, Conclusions

Novel/Additive information
Novelty in Wells Standardization in engineering and materials packages with "fit for all" solutions with different type of artificial wells.
Innovative engineering approach used to optimize the well construction and commissioning efficient well delivery by developing the "VMB" and well delivery KPIs, using agile and KAIZEN methodology.
Developed a novel contacting strategy to integrate the well location construction with the drilling contractor to achieve the robustness in well commissioning led to cost and schedule benefits.
Intelligent Chemical Tracers Provide Zonal Flow Identification in a High Water Cut Well
Authors: Hatmi Safiya , Harthi Mahmood , Rashed Rasha 
Published: October 2023

Abstract
Monitoring zonal inflow production in horizontal wells with sucker rod pumps presents significant challenges due to limited accessibility post-completion. To address this issue, chemical inflow tracers were installed in a high water cut well. A steady-state campaign was conducted to identify the relative inflow production from each monitored zone.
The inflow chemical tracer systems were meticulously designed and manufactured to provide 3 years of oil tracer longevity and 2 years of water tracer longevity upon water breakthrough. These tracers were installed in the channels between the outer diameter (OD) of the base pipe and inner diameter (ID) of the wire wrap screen. The well was equipped with three distinct oil and three unique water tracer systems strategically placed across reservoir sections.
Surface samples were collected every 2 weeks over a period of 4 months during the well's normal production regime. These samples were subsequently analyzed in a specialized laboratory to determine the concentrations of both oil and water tracers.
The arrival of all tracer signals confirmed the presence of both oil and water in the monitored zones. Remarkably, the tracers also confirmed that, despite the well's 75% water cut, the zones where the tracers were placed continued to produce oil.
The campaign's results facilitated the identification of zones contributing most to water and oil production, thereby enabling the determination of the water source. This crucial information allowed the asset team to take remedial actions by investigating and pinpointing the water source, resulting in a significant increase in oil production and a reduction in water production.
The use of chemical inflow tracers enabled well monitoring without the need for intervention or additional equipment. By simply collecting samples from the surface, valuable insights into downhole well performance were obtained, enabling effective remediation techniques to decrease water production.