scholarly journals Analisis Gas Deliverability Dan Crossflow Pada Multilayer Reservoar Sumur Gas “X” Untuk Pengembangan Lapangan Gas “Y”

2018 ◽  
Vol 2 (2) ◽  
pp. 1
Author(s):  
Dandi Octarizka ◽  
Sugiatmo Kasmungin ◽  
Ratnayu Sitaresmi
Keyword(s):  
Test Point

Lapangan “Y” terletak 40 km ke arah Barat Laut dari Pulau Tarakan, Kalimantan Utara memiliki sumur gas “X” yang dalam uji produksinya dilakukan dari secara commingle. Maka harus dilakukan analisis uji sumur untuk mengetahui kemampuannya dalam memproduksikan gas tersebut (gas deliverability). Metode yang digunakan antara lain Modified Isochronal Tets (konvensional), Metode Laminer-Inertia-Turbulen (LIT) dan Metode Jones-Blount- and Glaze. Perbandingan ini dilakukan untuk mengetahui metode mana yang paling optimum dengan juga laju alir yang terbaik. Parameter yang didapatkan dari hasil uji sumur tersebut kemudian dianalisis sebagai data repesentatif untuk digunakan dalam menganalisis crossflow dari multilayer reservoar. Crossflow adalah keadaan dimana masuknya fluida dari layer satu ke layer lainnya yang diakibatkan adanya perbedaan karakteristik antar layer . Analisa crossflow diuji dengan simulasi produksi tiap layer reservoar dan membandingkan antara jumlah produksi t iap layernya dengan produksi semua layer (commingle).Dari hasil penelitian menunjukkan bahwa Metode Jones -Blount- and Glaze merupakan metode yang paling mendekati dari test point sumur gas “x” dengan nilai AOF terbaik. Kemudian dari analisis crossflow yang dilakukan secara simulasi selama 1 tahun (2019-2020), terdapat gap dari kumulatif produksi gas tiap-tiap layer dengan kumulatif produksi gas secara commingle sebesar + 0.0379 MMSCF, hal ini disebabkan karena adanya perbedaan nilai permeabilitas horizontal dan tekanan antar layer. Dari analisis sumur “X” tersebut maka dilanjutkan ke pengembangan lapangan gas “Y” dengan simulasi didapatkan RF terbesar 89.38% dari total IGIP23.53 BCF

The Perennial Problem of Variability In Adenosine Triphosphate (ATP) Tests for Hygiene Monitoring Within Healthcare Settings

2015 ◽  
Vol 36 (6) ◽  
pp. 658-663 ◽  
Author(s):  
Greg S. Whiteley ◽  
Chris Derry ◽  
Trevor Glasbey ◽  
Paul Fahey
Keyword(s):  
Pseudomonas Aeruginosa ◽  
Staphylococcus Epidermidis ◽  
Test Point ◽  
Dilution Series ◽  
Healthcare Settings ◽  
Speed Of Response ◽  
Numerical Scale ◽  
Dilution Step ◽  
The Mean ◽  
The Individual

OBJECTIVETo investigate the reliability of commercial ATP bioluminometers and to document precision and variability measurements using known and quantitated standard materials.METHODSFour commercially branded ATP bioluminometers and their consumables were subjected to a series of controlled studies with quantitated materials in multiple repetitions of dilution series. The individual dilutions were applied directly to ATP swabs. To assess precision and reproducibility, each dilution step was tested in triplicate or quadruplicate and the RLU reading from each test point was recorded. Results across the multiple dilution series were normalized using the coefficient of variation.RESULTSThe results for pure ATP and bacterial ATP from suspensions ofStaphylococcus epidermidisandPseudomonas aeruginosaare presented graphically. The data indicate that precision and reproducibility are poor across all brands tested. Standard deviation was as high as 50% of the mean for all brands, and in the field users are not provided any indication of this level of imprecision.CONCLUSIONSThe variability of commercial ATP bioluminometers and their consumables is unacceptably high with the current technical configuration. The advantage of speed of response is undermined by instrument imprecision expressed in the numerical scale of relative light units (RLU).Infect Control Hosp Epidemiol2015;00(0):1–6

Effects of H2 Addition to CNG Blends on Cycle-to-Cycle and Cylinder-to-Cylinder Combustion Variation in an SI Engine

2012 ◽  
Author(s):  
Mirko Baratta ◽  
Stefano d’Ambrosio ◽  
Daniela Misul ◽  
Ezio Spessa
Keyword(s):  
Diagnostic Tool ◽  
Combustion Process ◽  
Experimental Tests ◽  
Test Point ◽  
Pollutant Emissions ◽  
Engine Operation ◽  
Pressure Transducers ◽  
Rate Analysis ◽  
Spark Plug ◽  
Wide Range

An experimental investigation and a burning-rate analysis have been performed on a production 1.4 liter CNG (compressed natural gas) engine fueled with methane-hydrogen blends. The engine features a pent-roof combustion chamber, four valves per cylinder and a centrally located spark plug. The experimental tests have been carried out in order to quantify the cycle-to-cycle and the cylinder-to-cylinder combustion variation. Therefore, the engine has been equipped with four dedicated piezoelectric pressure transducers placed on each cylinder and located by the spark plug. At each test point, in-cylinder pressure, fuel consumption, induced air mass flow rate, pressure and temperature at different locations on the engine intake and exhaust systems as well as ‘engine-out’ pollutant emissions have been measured. The signals correlated to the engine operation have been acquired by means of a National Instruments PXI-DAQ system and a home developed software. The acquired data have then been processed through a combustion diagnostic tool resulting from the integration of an original multizone thermodynamic model with a CAD procedure for the evaluation of the burned-gas front geometry. The diagnostic tool allows the burning velocities to be computed. The tests have been performed over a wide range of engine speeds, loads and relative air-fuel ratios (up to the lean operation). For stoichiometric operation, the addition of hydrogen to CNG has produced a bsfc reduction ranging between 2 to 7% and a bsTHC decrease up to the 40%. These benefits have appeared to be even higher for lean mixtures. Moreover, hydrogen has shown to significantly enhance the combustion process, thus leading to a sensibly lower cycle-to-cycle variability. As a matter of fact, hydrogen addition has generally resulted into extended operation up to RAFR = 1.8. Still, a discrepancy in the abovementioned conclusions was observed depending on the engine cylinder considered.

The Analysis of the Transmission Signal Measured MIPI D-PHY

2014 ◽  
Vol 986-987 ◽  
pp. 2078-2081
Author(s):  
Wei Wei ◽  
Fei Teng Zhang
Keyword(s):  
High Speed ◽  
Physical Layer ◽  
Test Point ◽  
Point Selection ◽  
Test Analysis ◽  
Serial Interface ◽  
Test Items ◽  
Test Point Selection ◽  
Mobile Industry ◽  
Speed Mode

Analysis the characteristics of the measured transmission signal of Mobile Industry Processor Interface (MIPI) Display Serial Interface Physical Layer (D-PHY) interface based on a project platform. Firstly, introduces the transmission characteristics and mutual conversion process of physical layer about high-speed and low power mode, and by the transmission signal measured a platform of high-speed mode, present the D-PHY transmission signal each test items and test point selection, make the phone run smoothly and screen display normally, this test analysis certain practicability and expansibility.

Study on Piezoelectric CeramicType Insole Plantar Pressure Measurement System Based on Test Point

2011 ◽  
Vol 383-390 ◽  
pp. 5148-5153
Author(s):  
Ye Min Guo ◽  
Lan Mei Wang ◽  
Yun Yan Ge
Keyword(s):  
Measurement System ◽  
Pressure Measurement ◽  
Plantar Pressure ◽  
Piezoelectric Ceramic ◽  
Test Point ◽  
Pressure System ◽  
Scientific Methods ◽  
Design Requirements ◽  
Plantar Pressure Measurement ◽  
Pressure Measurement System

According to the requirement of measurement of plantar pressure, this thesis puts forward a plan to construct a new insole plantar pressure system based on multifunction data acquisition modular and Test Point. Then the hardware part and software part are designed and developed respectively. The piezoelectric ceramic type sensors are designed, manufactured and calibrated according to scientific methods. Meanwhile, the DAQ card is selected carefully. Of course, the software part is developed based on Test Point. A series of tests are performed in order to validate the function of the plantar pressure measurement system. The results satisfy the anticipated design requirements. At last, the problems and application trend of the plantar pressure system are predicted.

scholarly journals Modified Energy Statistic for Unsupervised Anomaly Detection

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Rupam Mukherjee
Keyword(s):  
Anomaly Detection ◽  
Real Life ◽  
Industrial Applications ◽  
Test Point ◽  
Distance Metrics ◽  
Data Set ◽  
Energy Distance ◽  
New Energy ◽  
Statistical Distance ◽  
Computational Simplicity

For prognostics in industrial applications, the degree of anomaly of a test point from a baseline cluster is estimated using a statistical distance metric. Among different statistical distance metrics, energy distance is an interesting concept based on Newton’s Law of Gravitation, promising simpler computation than classical distance metrics. In this paper, we review the state of the art formulations of energy distance and point out several reasons why they are not directly applicable to the anomaly-detection problem. Thereby, we propose a new energy-based metric called the P-statistic which addresses these issues, is applicable to anomaly detection and retains the computational simplicity of the energy distance. We also demonstrate its effectiveness on a real-life data-set.

scholarly journals Research on optimizing the fault diagnosis strategy of complex electronic equipment

2010 ◽  
Vol 7 (1) ◽  
pp. 223-230
Author(s):  
Hong-Xia Wang ◽  
Xiao-Hui Ye ◽  
Liang Wang
Keyword(s):  
Test Point ◽  
Electronic Equipment ◽  
Fault Detection And Isolation ◽  
Point Selection ◽  
Optimal Test ◽  
Test Information ◽  
Testing Sequence ◽  
Test Point Selection ◽  
Global Optimal ◽  
Test Points

Diagnosis strategy is a testing sequence of the fault detection and isolation. For the distribution of the electronic equipment, a feasible engineering maintenance method is put forward based on the questions of test point selection and diagnosis strategy. The concepts of local diagnosis strategy and global diagnosis strategy are introduced. From which the local optimal diagnosis strategy is determined when the local optimal test points have been introduced by using the test information entropy, furthermore, the global optimal diagnosis strategy is determined by coalescing the local optimal diagnosis strategies. At last, the validity of the method is illustrated by an example from which the conclusion can be drawn that it is an optimal diagnosis strategy and the complexity of computation can be reduced.

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