Satellite Fields Digitalization & ALS Optimization with EDGE & Advance Analytics Application

Data monitoring in remote satellite field without any DOF platform is a challenging task but critical for ALS monitoring and optimization. In SRP wells the VFD data collection is important for analysis of downhole pump behavior and system health. SRP maintenance crew collects data from VFDs daily, but it is time consuming and can target only few wells in a day. The steps from requirement of dyna to final decision taken for ALS optimization are mobilizing team, permits approvals, download data, e-mail dynacards, dyna visualization, final decision. The problems with above process were: - Insufficient and discrete data for any post-failure analysis or ALS-optimization Minimal data to investigate the pre failure events The lack of real time monitoring was resulting in well downtime and associated production loss. The combination of IOT, Cloud Computing and Machine learning was implemented to shift from the reactive to proactive approach which helped in ALS Optimization and reduced production loss. The data was transmitted to a Cloud server and further it was transmitted to web-based app. Since thousands of Dynacards are generated in a day, hence it requires automated classification using computer driven pattern recognition techniques. The real time data is used for analysis involving basic statistic and Machine learning algorithms. The critical pump signatures were identified using machine learning libraries and email is generated for immediate action. Several informative dashboards were developed which provide quick analysis of ALS performance. The types of dashboard are as below Well Operational Status Dynacards Interpretation module SRP parameters visualization Machine Learning model calibration module Pump Performance Statistics After collection of enough data and creation of analytical dashboards on the three wells using domain knowledge the gained insights were used for ALS optimization. To keep the model in an evergreen high-confidence prediction state, inputs from domain experts are often required. After regular fine-tuning the prediction accuracy of the ML model increased to 80-85 %. In addition, system was made flexible so that a new algorithm can be deployed when required. Smart Alarms were generated involving statistic and Machine Learning by the system which gives alerts by e-mail if an abnormal behavior or erratic dynacards were identified. This helped in reduction of well downtime in some events which were treated instinctively before. The integration of domain knowledge and digitalization enables an engineer to take informed and effective decisions. The techniques discussed above can be implemented in marginal fields where DOF implementation is logistically and economically challenged. EDGE along with advanced analytics will gain more technological advances and can be used in other potential domains as well in near future.

Bovine Visceral Schistosomosis Caused By Schistosoma Indicum in Migrant Cattle Slaughtered at Chennai City, Southern India

One hundred and eighty mesentery samples of cattle were collected during a period of October 2019- March 2020 for screening visceral schistosomosis from Perambur slaughter house, Chennai, Tamil Nadu, India. Schistosoma indicum was identified in eleven mesenteries of Nellore breed of cattle based on morphology and worm number varied from 1-114 per mesentry. Molecular confirmation based on 16s RNA revealed it to be S. indicum. It was found that the infection of S. indicum in cattle was first report in Tamil Nadu in last two decades. The slaughtered cattle originated from neighboring states especially Andhrapradesh. The tract of infection needs to be traced accordingly for future control strategies. Awareness must be created among the livestock farmers to prevent production loss due to S. indicum infection while purchasing cattle from neighboring states within India.

Prevalence and Molecular Characteristics of Avian Pathogenic Escherichia coli in “No Antibiotics Ever” Broiler Farms

Avian pathogenic Escherichia coli causes one of the most detrimental bacterial diseases to the United States poultry industry, colibacillosis. Colibacillosis leads to decreased performance, early mortality, and subsequent production loss.

INVESTIGATION OF THE SELENIUM STATUS AND ACTIVITY OF THE ANTIOXIDANT SYSTEM IN THE ROMANOV SHEEP IN THE NORTH-WESTERN REGION

The extension of the characteristics of the cattle ration is widely spread nowadays. One of the most significant nutritional element is selenium. Selenium has antioxidant function because it is a necessary part of the antioxidant enzyme glutathione peroxidase. There is a deficiency of selenium on the large territories of Russian Federation, especially on North-Western region. The selenium deficiency is the reason of different metabolic diseases and stiff lamb disease. All of the aforesaid leads to production loss. In this article it is firstly reported about selenium status, biochemistry characteristics and their variations after treatment selenium –containing drug among Romanov sheep in north-western region. In the course of study was found that selenium concertation in sheep serum was lower than normal. The selenium drug administration was led to an increase of serum selenium concertation

Climate vulnerability assessment in semi-arid and arid region of Rajasthan, India: An enquiry into the disadvantaged districts

This paper assesses the district level climate vulnerability in the state of Rajasthan using largescale data on climate and socio-economic variables.More than thirty indicators segregated into four components of exposure, sensitivity, adaptive capacity and crop production loss were combined to develop a composite index of vulnerability and homogenous districts were clustered into three categories, viz.low, medium and high.Wide inter-district variations were observed across the calculated indices. The result reveals that highest production losses occurred in Ganganagar district followed by Hanumangarh and Bharatpur. Pali was least exposed to the climatic variability, whereas Bundi had the maximum exposure.Jaisalmer rated the maximum sensitivity level. Further, Pratapgarh followed by Jaisalmer and Banswara had the lowest degree of adaptive capacity. On the whole, districts like Hanumangarh, Jaisalmer, Ganganagar, Bundi, Bharatpur, Jodhpur, Bikaner, Chittorgarh, Alwar, Baran and Pratapgarh exhibit high level of vulnerability to climatic change. While on the other spectrum Sirohi district was least vulnerable due to lower exposure, sensitivity, crop production loss and high adaptive capacity. The analysis, suggests the need for prioritizing vulnerable areas to arrest regional imbalances by encouraging need/location based interventions for moderating the degree of vulnerability, whilst making agro-ecosystem in Rajasthan resilient to climatic aberrations.

How Human Resources Index, Relational Justice, and Perceived Productivity Change after Reorganization at a Hospital in Sweden That Uses a Structured Support Model for Systematic Work Environment Management

To facilitate systematic work environment management, which should be a natural part of business development, a structured support model was developed. The Stamina model has previously been used in Swedish municipalities, showing positive results. The aim was to study how the Human Resources Index (HRI), relational justice, short-term recovery and perceived productivity changed in a recently reorganised perioperative setting in a hospital in Sweden that uses a structured support model for systematic work environment management. A longitudinal design that took measurements at four time points was used in a sample of 500 employees in a perioperative hospital department. The results for the overall sample indicated a positive trend in the HRI (Mt1 = 48.5, SDt1 = 22.5; Mt3 = 56.7, SDt1 = 21.2; p < 0.001). Perceived health-related production loss (Mdt1 = 2, IQR = 3; Mdt3 = 0, IQR = 3; p < 0.001) and perceived work environment-related production loss (Mdt1 = 2, IQR = 3; Mdt3 = 0, IQR = 4; p < 0.001) showed major improvements. Short-term recovery showed a minor improvement (Mt1 = 2.61, SDt1 = 1.33; Mt3 = 2.65, SDt3 = 1.22; p = 0.872). In conclusion, the implementation of the Stamina model, of which the HRI constitutes an important part, seems to be a helpful tool to follow-up on work environment processes, and minimise production losses due to health and work environment-related issues.

Automation of the stone materials dosing process, controlled by variable frequency drives

<p>The objective of this article is to determine to what extent the automation of the stone materials dosing process, controlled by sequential drive of frequency variators, contributes to improving the productivity of a company dedicated to the production of asphalt in Peru for which, initially, the characteristics of the procedure that will lead to achieving the automation will be described. The results will then be displayed with respect to the indicators used to compare productivity before and after automation. The automation will be done by means of the logo 230RE controller, which will be connected to three frequency inverters, the programming development will be through the logo soft comford V8 software, for the sequential actuation, timers with connection delay will be used. Applying the automation, it is possible to improve the annual efficiency by an average of 58.30%, this is reflected in the monthly decrease in production time by 13.92%, in turn increasing the amount of stone material produced by an average of 43.77%. Likewise, it is possible to significantly reduce the production loss capacity by an annual average of 93.99%.</p>

ANALISIS PREVENTIVE MAINTENANCE MESIN AM KORIN DENGAN AGE REPLACEMENT DI PT NUGRAHA INDAH CITARASA INDONESIA

The smooth production process of PT Nugraha Indah Citarasa Indonesia is often disrupted because AM Korin machines that act for filling processes often experience damage and cause the need to repair components that are very detrimental to the company because of the time lost for production due to breakdown of these engine components, causing production loss. Preventive maintenance schedule is needed to prevent damage in the future to find out the maintenance time intervals for AM Korin engine components so as to eliminate downtime based on selection with the most minimal cost savings. Age Replacement is a preventive replacement based on the age of the component by following a certain distribution pattern. So preventive replacement is carried out by re-establishing the time interval for the next preventive replacement in accordance with a predetermined interval in the event of a replacement due to the damage that occurred. The Age Replacement method serves to accurately predict AM Korin engine component replacement activities that often suffer damage by analyzing based on historical data of damage to these components as well as knowing the optimal cost emphasis for each time interval of component replacement.The results of the study showed that one of the optimal replacement intervals was 23 days for sensor components with a replacement cost of Rp. 77. 625,000 which reduces the cost of previous treatments, which is Rp. 99,900,000. Keywords: Age Replacement; Preventive Maintenance; BreakdownAbstrakKelancaran proses produksi PT Nugraha Indah Citarasa Indonesia sering mengalami gangguan karena mesin AM Korin yang bertindak untuk proses filling sering mengalami kerusakan dan menimbulkan keperluan untuk perbaikan komponen yang sangat merugikan bagi perusahaan karena waktu yang hilang untuk produksi akibat breakdown komponen mesin tersebut sehingga menyebabkan production loss. Jadwal preventive maintenance sangat dibutuhkan untuk mencegah kerusakan di masa yang akan datang untuk mengetahui interval waktu perawatan bagi komponen mesin AM Korin sehingga dapat mengeliminasi downtime berdasarkan pemilihan dengan penghematan biaya yang paling minimal. Age Replacement merupakan penggantian pencegahan berdasarkan umur dari komponen dengan mengikuti pola distribusi tertentu. Jadi penggantian pencegahan dilakukan dengan menetapkan kembali interval waktu penggantian pencegahan berikutnya sesuai dengan interval yang telah ditentukan jika terjadi penggantian akibat kerusakan yang terjadi. Metode Age Replacement berfungsi untuk memprediksikan secara akurat kegiatan penggantian komponen mesin AM Korin yang seringkali mengalami kerusakan dengan menganalisa berdasarkan data historis kerusakan komponen tersebut serta mengetahui penekanan biaya optimal untuk setiap interval waktu penggantian komponen. Hasil dari penelitian menunjukkan bahwa salah satu selang waktu penggantian optimal yaitu selama 23 hari untuk komponen sensor dengan biaya penggantian Rp. 77. 625.000 dimana menekan biaya perawatan sebelumnya yaitu sebesar Rp. 99.900.000.

Analyse expérimentale du comportement des producteurs de céréales sèches face au risque financier dans un contexte de changement climatique

This study has two objectives: to characterize farmers according to their level of financial risk aversion and to analyze the factors explaining their propensity to take financial risk. Using a lottery system inspired by the work of Allais (1953) on 540 farmers in the groundnut basin of Senegal, the results show that 81.38 % of farmers are financially risk averse and only 8.57 % are risk lovers. Estimates with the probit model show that the propensity to take financial risk decreases if the farmer sets himself a high tolerable level of production loss. These results suggest that demand components should be considered in public agricultural financing and insurance policies.

Ingenious Method for Water Injection Optimization on Mature Carbonate Reservoir with Rapid Pressure Decline Problem, Case Study: XJN Field - South Sumatra, Indonesia

XJN field has implemented water injection as pressure maintenance since 1987, only one year after initial production. XJN is carbonate reservoir with weak aquifer underlying the oil zone. Initial reservoir pressure was 2,700 psi and peak production was 27,000 BOPD. Reservoir pressure was drop to 1,800 psi within 5 years of production. During 1991-2007, better injection management was performed to provide negative voidage. This action has managed to bring reservoir pressure back to its initial pressure, eventually enabling all wells to be converted from gaslift to naturalflow. In 2013, watercut has increased to 97% and several naturally flowing wells began to ceased-to-flow, then production mode was changed gradually from naturalflow to artificial lift using Electric Submersible Pump (ESP). In 2017-2020, there was rapid reservoir pressure decline around 300 psi/year while XJN water injection performance considered flawless. Voidage Replacement Ratio (VRR) was 1.3, but reservoir pressure was kept declining. This situation will cause ESP pump off on producer wells which in turn means big production loss. This paper will elaborate about the simple-uncommon-yet effective methods for problem detection and its solution to revive pressure and production. Analysis was began with observing the deviation of VRR and reservoir pressure, this was to estimate "leak" time of water injection. Next analysis was evaluation of injection rate leak off using material balance with reverse history matching. Reverse here means making reservoir pressure as main constraint rather than history matching goal. After that, it was continued with water injection flow path analysis. This was done by plotting production-injection-pressure data then make several small groups of injector-producer based on visible relationships. The purposes were to find key injector wells and to shut-in all inefficient ones. Furthermore, injection re-distribution was also performed based on VRR calculation on groups from previous step, water distribution priority was focused on key injector wells. These analysis have also paved the way for searching channeling possibility on injector wells. The results, XJN reservoir pressure showed an increasing trend of 100 psi/year after optimization was performed, with current pressure around 2000 psi. The increase in reservoir pressure has also made it possible to optimize ESP, field lifting has increased for 5000 BLPD. This project has also successfully secured XJN remaining oil. This project was racing with rapid pressure decline that will lead to early ESP pump off and production loss. The integrated subsurface analytical methods and actions being taken were simple but effective. Close monitoring on reservoir pressure, water injection and ESP parameters will be needed as field surveillance. Integrated analysis with surface facility engineering should also be carried out in the future in regards to surface network, injection rate and reservoir pressure.