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The reduction in height is 60% at the end of the compression.
It is obvious that, under different deformation temperatures, the data of lnand lnσ can be approximated by a group of parallel and straight lines by linear fit method.
It could be observed that the predicted flow stress value could track the experimental data throughout the temperature and strain rate range.
N is the number of data employed in the investigation.

The data of experiments support the hypothesis that bacteria D1-3 with the capacity of petroleum-degrading, have the potential of application in the microbial enhanced oil recovery. 2 Materials and Methods 2.1 Experimental Cultures A group of petroleum-degrading bacteria were obtained from the sludge samples that collected from the Triassic Yanchang 6 reservoir in 2009.
The data supported the hypothesis that microbial action is responsible for the upgrading of in-place oil and the increase of its flowability. 3.2 Influence of microbial injection velocity on the oil displacement efficiency The core flood experiments were conducted to measure the impaction of microbial injection velocity on oil displacement efficiency.
Table 3 Impaction of microbial injection speed on oil displacement efficiency Permeabi- lity /10-3μm2 Porosity Oil saturation /% Injection speed /m/d Injection moisture content Ultimate pressure /KPa Pressure reduction /% Recovery before injection/% Ultimate recovery/% /% Recovery increment /% 75.5 0.20 73.85 / / 257 / 52.71 52.71 / 92 0.22 74.19 0.25 75% 79 69.26 58.48 69.46 10.98 70.6 0.21 67.64 0.48 65% 90 64.98 53.75 62.08 8.33 82 0.23 58.21 0.74 65% 61 76.26 53.69 60.65 6.96 Injection Fig. 3 Experimental curve of water flooding Fig.4 Experimental curve of microbial flooding Injection Fig. 5 Pressure curve of water flooding Fig.6 Pressure curve of microbial flooding It was clear from the data of core flood experiments that microbial flooding performs outstanding effects relative to water flooding.

Materials and Methods In this stage, the GNPs were synthesized by sodium citrate reduction of 0.25 %, 0.5 % and 1.0 %.
Also, the algorithm for data analysis was implemented in platform Matlab R2009a.
Results and discussion The PCA were applied to the data set with 30 visible absorption spectra.
Numerical data of which allow the reader to determine the size of GNPs without the need to perform calculations are presented in the supporting information.

Introduction Operational control, which now demand all the data flow, pressure, level of operation of the reservoir and pumping of raw water and treated, they are poorly made.
In most cases, these data are transmitted via radio system and noted a report by an operator operation, where only the calculation is done monthly production volume of the system by the number of pumping hours and compared with the measurement or macro when the results hit the volumes measured macro, the two figures show the unreliability of the system and measurement of the macro itself.
With the reduction in power costs the Company may invest in equipment such as control valves Pressure and flow, purchase of computers and a program for transmitting data via on-line training for operators, who will benefit by intervening subjectively where in the system and perform tasks according to the degree of personal experience gained in performing their daily activities.

The hydriding phenomena have been studied on uptake mechanism [3,4], solubility [5], reduction of ductility [2,6,7,8,9] and the behavior in reactors [10].
Fig. 4 shows a set of B-scan data presented in a gray scale form for the archive sample.
The 2D-FFT transforms the B-scan data into ultrasound amplitude as a function of frequency (f) and wavenumber (k).
Fig. 4 B-scan data measured with LUT for the archive sample.

Measurement data analysis Measured signal was strongly noised.
Low pas filter was no sufficient for that type of data, because of non-sinusoidal function.
Due to the problems generated by low pas filters in case of non-sinusoidal function analyses, empirical mode decomposition (EMD) was used for data processing.
IEEE. (2001)1820 - 1823 vol.3 [3] Liu Xin-xia; Han Fu-lian; Wang Jin-gui; Wavelet Extended EMD Noise Reduction Model for Signal Trend Extraction, Image and Signal Processing, 2009.

This method, used of Monte Carlo sampling method extracts samples data of the stochastic variable, converts chance constraints into deterministic constraints by calculate the probability of chance constrained.
Equivalence a set of constraints into a constraint by adopts maximum function, namely: (10) Mark: Extract M sets of sample data by Monte Carlo method , the probability of chance constraints is equal to the average of the number of the M sets of sample data meet the constraints , namely: (11) Where: is the indicator function, namely, it is equal to 1 when, equal to 0 when .
It can be seen from Fig. 2, with the increase of confidence levels, the power supply cost increased because of the reduction of new energy output. thus demonstrating the rationality of use the conditional risk constraints depict the cascade reservoirs security constraints.

They act as a stress concentrator that causes fatigue cracks to initiate under cyclic loading and frequently a significant reduction in fatigue strength.
s data observed in tension-compression fatigue tests of G40.11 steel plates having a hole of the radius, r, of 0.2 mm, 0.48 mm or 4.8 mm.
The experimental data was obtained by Frost.
Fig. 5 compares the present calculations with Frost's data.

These material constants are measured by the experimental data fitting.
However, most of the numerical simulations for shot peening were performed by using literature data.
S [MPa] Elongation [%] Reduction of Area [%] Brinell Hardness [HBW] SUS316 344 573 63 73 156 Table 1 Chemical compositions [wt%] Table 2 Mechanical properties Finite Element Modeling and Results The axisymmetric FE model was developed using the commercial FE code ABAQUS/explicit [8] and used to investigate a single shot impacting on a target.
Cook, A constitutive model and data for metals subjected to large strains, high strain rates and high temperatures, Proceedings of the Seventh International Symposium on Ballistics, The Huge, The Netherlands, 1973, pp. 541-547

Different singular values represents different elements in raw data, so the fault information can be extracted by selecting singular values and the recersible process of SVD decomposition by using the selected singular values can perform the noise reduction.
Then matrix A can be projected into a new matrix expressed by the n eigenvalues, obtaining a new data matrix A∗.
(4) Calculate the difference between the data x(t) and m(t), d(t)=x(t)−m(t).Ideally, d(t) is an IMF.