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Hypsometric marks of the OWC position (conditional counting levels for some deposits) were defined acc. to well logging and well testing data.
The T1 formation section is represented by alternation of well-porous and impermeable carbonate differences, and well logging data clearly show a transition zone within the interval of depths of 1968-1980 m.
An effective oil-saturated thickness uncovered by well 5 was 4.6 m and is characterized by low oil saturation according to well logging data.
The geophysical interpretation of well logging data shows oil saturation in the roofing part of the T1 formation, and the water/oil contact under resistance curves can be adopted at the absolute elevation of 1779.2 m, which is above the bottom of the oil-saturated reservoir in well 314 by 15.8 m.
The attributive analysis of seismic survey data found no stable links between seismic attributes of the wavefield and gave no opportunity to assess porosity and permeability properties of producing sediments.

Fig.1 The trend of civilization of China Fig.2 Projection and comparison of civilization 0 500 1000 1500 2000 2500 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 104t Fig.3 The trend of economy and population Fig.4 The trend of TEC of Binhai of Binhai New Area New Area from 2000 to 2009(104tSCE ) Method of data analysis and data description Method and indicators The study chooses the indicator of total energy consumption and total carbon emission to reflect the consumption of energy and carbon emission by Binhai New Area, which refers to the sum of all types of energy such as coal, oil, electricity.
Data source The used data for analysis is collected from the statistic yearbook of Binhai New Area of Tianjin[3], the statistic yearbook of Tianjin[4], the report of environmental quality of Tianjin[7]，and the statistic of China’ energy[8].
Before calculation the data has been analyzed and adjusted.
In 2008, the carbon emission decreased sharply for the reduction of the energy consumption(Fig.11).
The development of Binhai New Area will contribute to the reduction of carbon intensity of Tianjin.

The figures show data for three near-eutectoid composition steels (0.7%C, 0.8%C and 0.95%C) and relatively pure iron.
Microstructural Evolution as Assessed by Conductivity Measurements Conductivity Data Analysis.
Data is from Frommeyer [4].
Resistivity data is also available for relatively pure Fe-C alloys in the well-annealed state [9,10,11].
Since the data in reference 12 shows a linear dependence of resistivity on alloying addition concentration, the resistivity data was corrected assuming a rule of mixtures.

The second level is to ascertain the location or cause of the fault by electric data.
There exist a lot of redundant data, so rough set theory is used for data reduction[6].
The DGA data and processed electrical data are shown in the following table.
Rough sets theory is used in reduction process the original DGA data, the input feature vector M={2,1,1,4,4,1,1,1}.
DGA data and electrical data are used to reflect transformer fault cause or location.

Afterwards Fourth-generation (4G) wireless communication systems utilize multiple-input and multiple-output (MIMO) technology to further increase data transmission rates [6].
In present day, significant surge in the demand for high data rates and bandwidth in the wireless industry, ultra-wide-band (UWB) antennas are becoming very popular for indoor applications and handheld devices [8].
UWB communication systems offer numerous benefits such as high-speed data transfer with high efficiency, low complexity, low cost, and high precision [9].
These designed systems are vulnerable to the impact of the multipath fading effect, reliability, and data quality, this effect will be minimized by using MIMO Antenna [24].
It can provide high data rate wireless communication, excellent spectral efficiency, and low power consumption.

Compared with a similarly rated silicon (Si) IGBT version, the SiC converter exhibits a 3% improvement in peak efficiency, 2.6 times reduction in total losses, and three times improvement in power density.
This is due to lower overdrive voltage at room temperature and reduction in the gate threshold voltage with temperature.
From this data the conduction loss for each switch in the DAB is estimated to be 25.7W under nominal conditions at a 25kW power transfer level.

Rainfall-Induced Slope Instability Rock Mixture Fluid - Structure Interaction Numerical Simulation Xiaonian She1,a , Helin Fu2,b , Zhong Zhou2,c 1Hunan Administration of Highway, Changsha, Hunan, 410007, China 2School of Civil Engineering, Central South University, Changsha, Hunan, 410075, China a sxn123@sina.com, b fuhelin100@yahoo.com.cn, c zhouz785@yahoo.com.cn Key words: Rainfall, Rock mixture, Slope instability, Fluid-structure interaction, Simulation Abstract: In this paper, did the numerical calculation of the mixture slope’s development and changes of the stress field, seepage field ,displacement field under fluid - solid coupling effects at different levels, researching and analyzing the water-rock interaction mechanisms of the mixture slope ,and based on strength reduction , calculated the slope safety factor at different water levels, revealed the failure mechanisms of a mixture of earth and rock slope when it considers the rainfall.
Introduction In this paper, numerical calculation of the different water flow when the mixture slope - solid coupling of the stress field, seepage field, displacement field of development and changes, research and analysis mixture slope of the water-rock interaction mechanisms, and based on strength reduction was calculated slope safety factor when different water levels, rainfall revealed a mixture of earth and rock slope failure mechanisms. 1 Model and calculation conditions for numerical analysis The literature [1] mixture slope field for the numerical simulation of artificial rainfall experiment object, engineering geological profile shown in Figure 4.
In laboratory and field test and field survey data, based on the slope of geotechnical parameters selected in Table 1.

According to the rule, the paper construct coal mine safety system dynamics causality diagram by using system dynamics theory from safety management angle, and made data quantitative analysis by non-linear regression, found out the function relationship that can reflect system elements dynamic change.
Coal mine safety system dynamics causality diagram Coal Mine System Dynamics Model Data Processing In the process of data quantitative, on the basis of predecessors study work, combined with the actual meaning of each state, Auxiliary quantity and constant variable, part of the data can be quantified by using the following expression formula from (1) to (17)
Application in Coal Mine Safety Management Take one coal mine as an example, the paper make macroscopic analysis using the model that have been established. 3.1 Data Collection and Processing The paper collected the original accident data in the coal mine during 2000-2011, shown in Table 1.
And made processing for the original data by using the quantitative calculation above, required the derived data that the model need, shown in Table 2.
Based on the data collected, It draw a scatter diagram as shown in Fig.2.

How to choose key features from process industry data?
B distance measures separability between two class data.
For each faulty case, two sets of data, training and testing data, are generated.
The training and testing data contain 480 and 960 observations, respectively.
Training data are collected after the introduction of the faults.

Ball mill is one of the more intensive used equipment for milling-blending operations and its design is based, normally, on experimental data and some non-dimensional numbers for size scaling [1,2].
This work develops a simple theoretical model regarding the phenomena occurring during the process, and the experimental data obtained confirm its applicability for ball mill design.
Hence, given that the Relevance relation between superficial tension and inertial forces goes by the inverse of gravity, and the frequency goes by the square root of the gravity, increasing gravity will result in shorter processing time for the same powders, a further reduction is accomplish by means of the reduction in powder agglomeration.
Size reduction of Solids: Crushing and Grinding Equipment.
Process Engineering of Size Reduction: Ball Milling.