bluuebunny/crossref_metadata_2025_split huggingface dataset:
Platón y la política como cuidado de las pasiones: sobre el tratamiento de la benevolencia en el Gorgias = Politics as care of the passions in Plato: on the treatment of benevolence in the Gorgias
Authors: Gómez Pérez Gustavo 
Published: June 2020

Resumen: Sócrates, en el Gorgias (521d) , afirma ser el único ateniense que practica en su tiempo el verdadero arte político. En este artículo se interpreta esta aserción desde el análisis del verbo θεραπεύω , que en el contexto del diálogo puede traducirse como “servir”, “cuidar” o “atender” (513e, 521a), y que alude primariamente al carácter terapéutico de la política en analogía con la medicina, aunque eventualmente también se usa para referir, por ejemplo, al entrenamiento de los caballos (516e). La tesis central es que Sócrates entiende el ejercicio de la política como cuidado de las pasiones, y de su relación con la benevolencia, que se define como una disposición afectiva básica y esencialmente política. A manera de conclusión, se plantea que el ejercicio socrático de la política depende de las posibilidades performativas del lenguaje, y está determinado por una tensión irreductible entre lo político y lo apolítico.Palabras clave: Platón, Gorgias, política, pasiones, benevolencia.Abstract: In the Gorgias (521d), Socrates claims to be the only Athenian who practices the real art of politics in his time. The present paper interprets this assertion based on an analysis of the Greek verb θεραπεύω, which in the context of the dialogue means “serving”, “caring”, or “tending” (513e, 521a). It alludes primarily to the therapeutic character of politics by analogy with medicine, but it also can refer to the training of horses (516e). Socrates understands the practice of politics as a way of taking care of the passions, and of their relation to goodwill, which is considered to be a necessary affective disposition that is inherently political. Socratic political n practice depends on the performative possibilities of language. An irreducible tension between the political and the apolitical determines it. Keywords: Plato, Gorgias, politics, passions, benevolence.
HUBUNGAN ANTARA KEWARGANEGARAAN LINGKUNGAN TERHADAP PERILAKU LINGKUNGAN SISWA DI SEKOLAH ADIWIYATA
Authors: Yusuf Rusli , Sanusi Sanusi , Maimun Maimun , Fajri Iwan , Putra Irwan 
Published: June 2020

Penelitian ini bertujuan menganalisis korelasi antara kewarganegaraan lingkungan dengan perilaku lingkungan siswa di Sekolah Adiwiyata di Kota Banda Aceh. Penelitian ini menggunakan pendekatan kuantitatif dengan desain korelasional. Studi ini dilakukan di sekolah Madrasah Aliyah Darul Ulum dan Madrasah Aliyah Babun Najah Kota Banda Aceh dengan jumlah sampel penelitian 82 orang siswa dari 2 sekolah yang menjadi tempat penelitian. Data dikumpulkan dari 82 orang siswa di sekolah Darul Ulum dan Babun Najah dengan menggunakan kuesioner kewarganegaraan lingkungan dan perilaku lingkungan. Data kuantitatifa dianalisis menggunakan statistik deskriptif dan korelasi Pearson dengan bantuan program aplikasi SPSS versi 22 untuk Windows. Analisis statistik deskriptif penelitian menunjukkan bahwa terdapat 61 (74,4) Baik, 11 (13,4 %) sangat baik dan 10 (12, 2 %) cukup. Selanjutnya data di analisis korelasi mendapatkan hasil terdapat hubungan yang signifikan antara kewarganegaraan lingkungan terhadap perilaku lingkungan siswa. Hal ini di buktikan dengan hasil dari analisis korelasi Pearson dengan aplikasi SPSS dengan nilai sebesar 0,438 > r tabel 0,217, sehingga dapat disimpulkan adanya korelasi antara variabel kewarganegaraan lingkungan dengan variabel perilaku lingkungan. Hasil temuan ini sangat berkaitan dengan kurikulum dan proses pembelajaran yang diajarkan di masing-masing sekolah. Setiap guru di sekolah harus mengintegrasikan setiap mata pelajaran di sekolah yang berwawasan lingkungan untuk meningkatkan kesadaran dan perilaku dalam menjaga lingkungan.Kata Kunci : Kewarganegaraan Lingkungan, Perilaku Lingkungan, Sekolah Adiwiyata
KERAGAMAN PENGADUAN LAYANAN PUBLIK DI KALIMATAN SELATAN MELALUI APLIKASI SP4N LAPOR!
Authors: Hamjen Hilarion , Nikmah Rachma Ainun 
Published: June 2020

Regulation of Ministry of Empowerment of State Apparatus and Bureaucratic No. 3 year 2015 mandates the implementation of technology-based national public complaints management and each region integrated by the Lapor ! SP4N application include in South Kalimantan. The Sp4N lapor ! application is used to make complaints related to public service issues. However there is no research about the diversity of public service complaints by Lapor application in South Kalimantan. In order that this research was conducted which aims to find out the diversity of complaints by Lapor application in South Kalimantan. This study uses a quantitative approach supported by qualitative using saturated sampling techniques to the Lapor aplication users who are willing to be surveyed in April 2018 in Banjarmasin City, Banjarbaru City, Banjar District and South Kalimantan Province. The results showed that in Banjarmasin City, Banjarbaru and Banjar District had similarities in terms of the variety of reports that were reported with frequencies of 1 to 2 reports and the reported problems that were mostly reported were quite diverse but the most dominant was reports is related to the damage of road infrastructure. While the informan education and occupation are quite varied, there are backgrounds from Senior dan junior high school, then entrepreneurs, government employees or policeman or national Army. Public are constrainted when the internet access is slow or unavailable. Another constrain is because they do not understand about the use of the application. As for the public who has already know but reluctant to report because they are afraid of the consequences of reporting, security and comfort is disrupted.
STRATEGI PENCITRAAN PARTAI DEMOKRAT WILAYAH KOTA BANJARMASIN SAAT PEMILU TAHUN 2019
Authors: Fahrianoor Fahrianoor 
Published: June 2020

The Democratic Party in the 2004 General Elections entered the top five political parties with the highest electability in Indonesia. This party's victory was not only achieved at the central level but also the regional level. The party's positive trend continued into the 2009 elections. The Democratic Party experienced a significant decline in votes in 2014 due to the issue of corruption. The decline in votes has certainly had an impact on the preparation of the Democratic Party in the 2019 elections. The Democratic Party must prepare an appropriate political winning strategy, both at the central and regional levels. This study aims to determine the Democratic Party's imaging strategy in the city of Banjarmasin. This research uses a qualitative method, with a qualitative descriptive approach. The theory used in this study is the theory of empathy. The results showed that there were three imaging strategies carried out by the Democratic Party, namely imaging through the management of issues, through consulting services, and mass media. This imaging strategy is managed for the 2019 elections. This research generates suggestions that the Democratic Party should utilize issues that can improve the party's image. The Democratic Party should also use the services of political consultants from professional circles to boost the party's positive image. The use of mass media should also not be limited to party leaders, but the level of functionaries.
Osteoporosis and Spine Surgery
Authors: Diebo Bassel G. , Sheikh Basel , Freilich Michael , Shah Neil V. , Redfern James A.I. , Tarabichi Saad , Shepherd Elian M. , Lafage Renaud , Passias Peter G. , Najjar Salem , Schwab Frank J. , Lafage Virginie , Paulino Carl B. 
Published: June 2020

» Despite being part of the aging process, early and adequate management of osteoporosis mitigates adverse outcomes associated with low bone mineral density.» Although the health-care burden of osteoporosis is on the rise, screening and management of osteoporosis are not yet an integral part of preoperative patient evaluation in spine surgery.» Patients with osteoporosis should undergo multidisciplinary evaluation and management, including lifestyle modifications and initiation of multiple therapeutic modalities.» Integrating osteoporosis in preoperative optimization and surgical planning for patients undergoing spine surgery has the potential to mitigate osteoporosis-related postoperative complications.
Influence of Representative Models in the Expected Value of Information Applied to Petroleum Fields Development
Authors: Santos Letícia Siqueira , Santos Susana Margarida , Santos Antonio Alberto , Schiozer Denis José , Silva Luis Otávio 
Published: June 2020

Abstract
The Expected Value of Information (EVoI) is a criterion to analyze the feasibility of acquiring new information to deal with uncertainties and improve decisions at any stage of an oil field. Here, we evaluate the influence of the use of representative models (RM) on the EVoI estimation and on the decision to develop the petroleum field. These RM are used to represent a large set of models that honor production data (FM), considering uncertainties in reservoir, fluid and economic parameters, enabling the following processes: (1) optimize production strategies (specialized for each RM and robust to all RM), (2) risk analysis, (3) select the strategy to develop the field based on risk analysis, and (4) estimate the EVoI. We evaluated the influence of the number of RM on these processes, observing the impacts on the results of reducing computational costs. For the EVoI, we applied a Complete (EVoI_FM) and a Simplified (EVoI_RM) methodology, where EVoI_FM was evaluated with all models (FM) while EVoI_RM used different groups with different numbers of RM (GR1, GR2 and GR3, ranging from 9 to 150 models in each group). To assess the quality of the results, we used the complete estimate (EVoI_FM) as a reference. The study was conducted on UNISIM-I-D, a benchmark oil reservoir in the development phase, taking an appraisal well as a source of information to clarify a structural uncertainty. Using RM to optimize specialized production strategies proved useful, since optimizing strategies for all FM would require high computational costs. Moreover, the RM could be used to represent risk curves and select production strategies under uncertainty, but less precisely, affecting directly the results of the EVoI (which is the difference between the expected values of the two curves). The precision of EVoI_RM results varied according to the number and group of RM employed, also varying the best strategies selected for field development. The choice of using simplifications or not will depend on the accuracy required or available resources. Variations in EVoI_RM may be tolerable when compared to the time saved, being the decision maker free for choosing the best estimation method.
A New Way to Estimate Fracture Closure Pressure from Injection Fall-Off Testing Using Water Hammer
Authors: van den Hoek Paul 
Published: June 2020

Abstract
Injection Fall-Off (IFO) testing is one of the most important methods to help monitor injector performance over time in waterfloods, water disposal operations, polymer floods, etc. IFO tests provide information about, amongst others, k*h, skin, reservoir transmissibility, and mobility contrasts. Analysis of the early-time period of such tests also can yield estimates of length and height of fractures that are induced during injection. There is however, one important parameter that cannot be estimated from IFO tests, which is the Fracture Closure Pressure (FCP) which is generally considered to be a measure for minimum principal in-situ stress.
In this work, we present exact 3D simulations of hydraulic fracture propagation, followed by fracture closure as a result of shut-in and after-closure reservoir flow. The simulations focus on the details of valve closure at the wellhead followed by propagation and (repeated) reflection of the closure-induced pressure pulse (‘water hammer’) whilst at the same time the fracture is gradually closing. The simulated post shut-in pressure decline trends which are the combined result of water hammer, fracture closure and reservoir fluid flow have been compared with field data.
The main result that consistently emerged from our simulations and their comparison with field data is that the water hammer disappears as soon as the fracture is completely closed. This can be explained by the fact that the magnitude of a water hammer following injector shut-in strongly increases with the total ‘system’ (wellbore plus fracture) compliance (storage), as is evidenced from our simulations. Since often, the system compliance for an open fracture is an order of magnitude higher than for a closed fracture, fracture closure itself results in a practical disappearance of water hammer. Thus, identification of the point of water hammer disappearance after shut-in allows one to estimate FCP.
Assisted History Matching of a Highly Heterogeneous Carbonate Reservoir Using Hydraulic Flow Units and Artificial Neural Networks
Authors: Sengel Ayhan , Turkarslan Gulcan 
Published: June 2020

Abstract
Germik, a mature heavy oil field in Southeast Turkey, has been producing for more than 60 years with a significant decline in pressure and oil production. To predict future performance of this reservoir and explore possible enhanced oil recovery (EOR) scenarios for a better pressure maintenance and improved recovery, generation of a representative dynamic model is required. To address this need, an integrated approach is presented herein for characterization, modeling and history matching of the highly heterogeneous, naturally fractured carbonate reservoir spanning a long production history.
Hydraulic flow unit (HFU) determination is adopted instead of the lithofacies model, not only to introduce more complexity for representing the variances among flow units, but also to establish a higher correlation between porosity and permeability. By means of artificial intelligence (AI), existing wireline logs are used to delineate HFUs in uncored intervals and wells, which is then distributed to the model through stochastic geostatistical methods. A permeability model is subsequently built based on the spatial distribution of HFUs, and different sets of capillary pressures and relative permeability curves are incorporated for each rock type.
The dynamic model is calibrated against the historical production and pressure data through assisted history matching. Uncertain parameters that have the largest impact on the quality of the history match are oil-water contact, aquifer size and strength, horizontal permeability, ratio of vertical to horizontal permeability, capillary pressure and relative permeability curves, which are efficiently and systematically optimized through evolution strategy. Identification and distribution of the hydraulic units complemented with artificial neural networks (ANN) provide a better description of flow zones and a higher confidence permeability model. This reduces uncertainties associated with reservoir characterization and facilitates calibration of the dynamic model. Results obtained from the study show that the history matched simulation model may be used with confidence for testing and optimizing future EOR schemes.
This paper brings a novel approach to permeability and HFU determination based on artificial intelligence, which is especially helpful for addressing uncertainties inherent in highly complex, heterogeneous carbonate reservoirs with limited data. The adopted technique facilitates the calibration of the dynamic model and improves the quality of the history match by providing a better reservoir description through flow unit distinction.
Waterflood Analysis with Pulse-Code Pressure Interference Testing in Eastern Siberia Carbonate Reservoirs
Authors: Kim Vasiliy , Aslanyan Artur , Gulyaev Danila , Farakhova Rushana 
Published: June 2020

Abstract
The waterflood performance depends on two major components: the sweep efficiency and displacement efficiency.
The sweep efficiency depends on proper understanding of the vertical and lateral distribution of reservoir properties.
One of the methods to check and calibrate this understanding is to perform pressure interference test (PIT) in few cross-well intervals.
Unfortunately, a proper implementation of traditional step-response PIT with objective for quantitative interpretation requires shutting-down the wells, preferably the whole area around receiving well resulting in punishing production deferment.
This was a bottle-neck for wide spread of quantitative PIT for many decades.
This paper describes the experience with a specific implementation of PIT – Pressure Pulse Code Test (PCT) – which allows data acquisition under scheduled production.
The trade-offs are usually acceptable: longer field operations, high resolution downhole gauges, more complex and longer data processing, advanced software tools and as result – a more expensive service, which anyway comes much cheaper than production deferment.
The paper shows how PCT can be qualified using the synthetic field tests and real field tests and shows a typical application of PCT findings in one of the Eastern Siberian carbonate reservoirs.
Assessment on Gas Re-Injection Performance After 19 Years: A Brownfield Case Study
Authors: Abdul Razak Muhammad Firdaus , Ariffin Mohd Hafizi , Ratwant Singh Gurveen Singh , Khalid Aizuddin 
Published: June 2020

Abstract
Field D is located in an average water depth of about 115ft in the Balingian province, about 35 km northwest offshore of Bintulu, Sarawak. The field was discovered in 1983 by drilling D-1 exploration well, and subsequently delineated by seven (7) appraisal wells. The field recovery mechanism is predominantly solution gas drive with limited aquifer support in the North and North-east of the Cycle II Sheet reservoir. Within three years of production, oil rate has rapidly declined to around 10,000 stb/d with gas oil ratio (GOR) increasing from 800 scf/stb to around 3,000 scf/stb. Gas re-injection scheme was introduced in 2000 with Gi/Gp performance was the main control measure to optimize the injection efficiency. This paper presents the performance of two major reservoirs in D Field with gas re-injection schemes.
The first part of this paper discusses the performance of Reservoir C3-3A. Wells performance during pre-injection period was studied. Basic performance plots such as Qo vs Time and GOR vs Time were utilized to understand the well behavior and decline curve analysis (DCA) was used to calculate the NFA reserves for this reservoir. The performance of this reservoir after the gas re- injection was then further analyzed. Similar performance plots are utilized (Qo vs t, GOR vs t, DCA) with the addition of injection wells performance plot. The oil producers performance were plotted to compare their reaction toward different injection rates. The Gi/Gp control measure was applied as part of the reservoir management target. In order to quantify the incremental reserves from the gas re-injection, oil DCA plots were established. Similar approach was applied for the second reservoir, C3-4A.
In overall, the gas re-injection in D Field has successfully arrested the annual field decline rate from 45% to 20% and increased the ultimate recovery factor to 35% after 19 years of re-injection. However, further scrutiny towards each well showed that some inefficiencies did occur in the re- injection schemes. Due to poor location of injector wells, some oil producers produced excessive GOR due to gas recycling if the gas injection rate was maintained as per Gi/Gp target. This resulted in lower oil recovery and lower revenue from gas export. Furthermore, some injectors were also not injecting as per target due to poor reservoir quality and mechanical issues. Lessons captured from 19 years of re-injection history will be the reference to set the operating strategy of existing and future injection wells at field D.
The information and lessons learnt from this paper will be applicable for future field development involving gas re-injection by setting an example on how to design optimum gas injection strategy.
Acid Fracture Design Optimization in Naturally Fractured Carbonate Reservoirs
Authors: Alsulaiman Monther Mohammed , Aljawad Murtada Saleh , Palharini Schwalbert Mateus , Alafnan Saad , Abdlwahab Mohammed 
Published: June 2020

Abstract
Carbonate formations, which are candidates for acid fracturing, are usually naturally fractured. The existence of fracture networks has important impacts on fracture design outcomes. Previous studies have investigated the interaction between induced and natural fractures. However, these studies have seldom considered the impact of reactive fluid systems. In this work, a model was developed to explain acid distribution in hydraulic and intersecting natural fractures. This model was then used to optimize acid fracture design parameters based on the goal of maximizing productivity.
A fracture propagation model coupled with acid transport, reaction, and heat transfer was employed to determine the acid etched-width distribution and stimulated reservoir area. The outcome of the coupled model was the acid dissolution and conductivity distribution of a natural fracture network intersecting a hydraulic fracture. Then, a productivity model was utilized to evaluate the performance of the acid fractured well.
A parametric study was also conducted to understand the impact of natural fractures on the optimum design conditions. Different natural fracture intensities (i.e., spacing) were investigated at different reservoir permeability. It was observed that the existence of natural fractures significantly altered acid placement in the reservoir. The result was well productivity quite different from what was seen in cases with no natural fractures. Also, the optimum design conditions (e.g., injection rate) differed based on the natural fractures' characteristics and reservoir properties. It was found that the existence of natural fractures significantly reduced the productivity of fractured wells.
The model developed here was used to explain the complex interactions of acid fractures in naturally fractured carbonate formations. The effects of natural fractures on acid placement and optimum design conditions can now be estimated. Such information, which has rarely been considered, is imperative for better stimulation design in this type of formation.