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Genesis of Low Resistivity Contrast Reservoir According to the data analysis of the core and well testing in Chang 82 oil bearing formation of the well block YD, the porosity of fine sandstone and siltstone is from 0.63% to 18.25%, the permeability is from 0.101mD to 13mD.
Through the analysis of geological data of 23 wells in the block, the authors clear the genesis of low-contrast reservoir.
According to the data from fractional analysis, the main lithology is fine sandstone, medium to very fine sand and siltstone, that caused the high water saturation, not high hydrocarbon saturation.
Data show invaded for 2 days, the 4m the bottom lateral log is 40.5Ω•m, invaded for 5 days, Rild is 14.8Ω•m, it is a decrease of 63%.
Combined with data analysis, it should be tight reservoir.

However, in the process of building monitoring, rainfall, rolling of large-scale construction vehicles, construction materials piled and other reasons, will result in the monitoring data uncomprehensive, and even blank monitoring [4].
Because the training is processed from the existing correct data, the target output of training can be obtained from the training data of prior periods.
Simulation Experiment And Results Analysis In this paper, the experimental data is from a city’s project.
Compared with the traditional regression method, the improved BP neural network can improve the convergence of the algorithm greatly and the speed and accuracy of data calculation
(3) Detection data-based analysis method is used for predicting the settlement of existing buildings.

These gold nanoparticles (AuNPs) have been synthesized by the reduction of gold tetrachloride (HAuCl4) using sodium citrate as reducing agent.
XRD data were collected on a Philips X-PERT X-ray diffractometer employing Cu Kα radiation (λ = 1.5405 Å) at 40 kV and 25 mA.
The reduction of gold(III) using sodium borohydride reduction has always ended up with less uniformity in size and shape in this case [23].
The citrated reduction method gave consistent results with highly uniform particle size (22 nm) and spherical shape.

However, the further increasing of nanoclay content of >15 wt% of nanoclay has caused a significant reduction in tensile, elongation at break and optical properties of PLA matrix.
Introduction The use of biodegradable polymers has contributed to a reduction in environmental problems.
The reduction of elongation increase with the increasing of nanoclay contents.
The significant reduction on WVP started with the addition of nanoclay from 10 wt% to 30 wt%.
The data shows a slight, but not statistically significant trend that as nanoclay content increases, oxygen permeability decreases.

The predictions are done by training the tool with input data.
Results and Analysis Principal Component Analysis (PCA) is a potent tool for data visualization and dimensionality reduction in multivariate analysis.
Here is how PCA can be used to analyze data from Fe2NiAl.
This indicates decisions about a reduction in dimensionality while minimizing information loss.
A violin plot consists of "violins," which are symmetrical shapes representing the distribution of data representing data for each composition.

Based on the reality of Dongying City, combined with relevant statistical data, the carbon sink capacity of the forest ecosystem, wetland ecosystem, landscaping ecosystem and farmland ecosystem in Dongying City was calculated systematically by using the empirical coefficient method.
To improve carbon sink capacity is not only an effective way to alleviate the greenhouse effect and climate change, but also an inevitable choice to resolve the pressure of CO2 emission reduction.
Materials and methods Data sources.
The data of forest area, wetland area, landscaping area and farmland area are mainly obtained from the Dongying Statistical Yearbook [6], along with the forestry department and the agricultural department of Dongying City.
In this research, the calculation of the carbon sink capacity of Dongying City is only a preliminary assessment due to limitations of technological means for carbon sink estimation and related statistical data.

In this paper, the genetic algorithm for the key point of image capture is improved, and the joint programming of VC and Matlab is used to achieve data transmission, the FAB body identification system signal that collected with VC was processed by Matlab software, eventually Tai Chi chuan movement design computer system has got.
By using the genetic algorithm can effectively to encode information, make use of information coding can increase the speed of image capture and reduction, is one of the most commonly used algorithm in the computer image processing, this article uses the genetic algorithm coding as shown in formula (1)
The application research on image processing technology in Tai Chi chuan movement development design The second part in order to verify the effectiveness of the design of the image Mosaic algorithm and reliability, this paper, using VC and Matlab joint control approach for image acquisition and processing, first using the Matlab import VC interface the collected data, as shown in figure 3.
Fig. 3 The key information interface of Matlab import images In Figure 3, using Matlab software and VC interface data connection process, Matlab can import the VC, overall system dat packets were collected in this paper, using VC software to compress image data, finally saved into the format of the dat.

Data analyzed shows that the volume fraction of retained austenite in the HAZ increases with the heat input applied by the welding process, being greater as the heat input increase and decrease the cooling rate, this due to variation in the travel speed of the weld path.
Due to high demand in energy savings, safety and reduction of pollutant emissions in cars, Advanced High Strength Steels (AHSS) have become very attractive materials for use in the automotive industry.
See Fig. 1 Figure 1 X-Ray equipment position of the sample Once these collected data were analyzed in accordance with ASTM E975 and the reference data using the SAE SP-453 method.
Therefore, in the data shown below, four values were calculated using the peak austenite 111 austenite and ferrite peaks 110, 200, 211 and 220.

Gray prediction model can predict uncertain factors in gray system with insufficient data.
Advantage of gray prediction model is that it has less demand for data.
Weather-sensitive load component needs to be determined based on a large number of recorded weather data given for data processing and correlation analysis.
By applying regressive reduction, we get:
This way of division can perfectly combine history data with actual situation.

Data Reduction The imposed heat flux q to the boiling refrigerant in the test section is calculated from an energy balance on the water side.
Fig. 2 also depicts the comparison of the experimental heat transfer coefficient data (test tube 1) with the data by Wongwises et al. [3] for the cases shown for a smooth tube.
Fig. 3 depicts the comparison of the experimental heat transfer coefficient data with the data by Bassi and Bansal [4] and Naulboonrueng et al. [5] for the cases shown.
It was found that 90% data were within 20% of the predicted values.
Su for his assistance in taking the experimental data.