Measurement of crude oil water content based on cross-correlation method

The main problem dehydration system of XinMu Oil Field at present is high dehydration temperatures,high the amount of demulsifier, increase output moisture content year by year and more and more frequent fluctuations.Through the reform to establish a dehydration subsystems,and composite demulsifier alone to deal with special oil to eliminate the influence of special crude oil to dehydration system.Filter out Daqing produced 169＃ demulsifier 150mg·L-1, when add oxalic acid 200mg·L-1 and fungicide 100mg·L-1 the demulsifier of good dehydration effect.After processing crude oil water content of less than 5%,sewage oil content of less than 20mg·L-1, which has solved the dehydration problems of troubled XinMu for many years.

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Application of cross correlation to HREM images of surfaces

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100128080 ◽

1987 ◽

Vol 45 ◽

pp. 754-755

Author(s):

D. E. Luzzi ◽

L. D. Marks ◽

M. I. Buckett

Keyword(s):

Cross Correlation ◽

A Priori ◽

Matrix Material ◽

Correlation Method ◽

Accurate Knowledge ◽

Complex Image ◽

Fourier Filtering ◽

The Matrix ◽

Low Pass ◽

Data Reduction Technique

As the HREM becomes increasingly used for the study of dynamic localized phenomena, the development of techniques to recover the desired information from a real image is important. Often, the important features are not strongly scattering in comparison to the matrix material in addition to being masked by statistical and amorphous noise. The desired information will usually involve the accurate knowledge of the position and intensity of the contrast. In order to decipher the desired information from a complex image, cross-correlation (xcf) techniques can be utilized. Unlike other image processing methods which rely on data massaging (e.g. high/low pass filtering or Fourier filtering), the cross-correlation method is a rigorous data reduction technique with no a priori assumptions.We have examined basic cross-correlation procedures using images of discrete gaussian peaks and have developed an iterative procedure to greatly enhance the capabilities of these techniques when the contrast from the peaks overlap.

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Cross-Correlation Method for the Formation of Laser Energy Fields with Complex Distributions

Ukrainian Journal of Physics ◽

10.15407/ujpe58.02.0122 ◽

2013 ◽

Vol 58 (2) ◽

pp. 122-125 ◽

Cited By ~ 3

Author(s):

O.V. Gnatovskyy ◽

◽

A.M. Negriyko ◽

V.O. Gnatovskyy ◽

A.V. Sidorenko ◽

...

Keyword(s):

Cross Correlation ◽

Laser Energy ◽

Correlation Method

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Demulsification of a Water-in-crude Oil Emulsion with a Corn Oil BasedDemulsifier using the Response Surface Methodology: Modelling and Optimization

Recent Innovations in Chemical Engineering (Formerly Recent Patents on Chemical Engineering) ◽

10.2174/2405520414999210104154915 ◽

2021 ◽

Vol 14 ◽

Author(s):

Abed Saad ◽

Nour Abdurahman ◽

Rosli Mohd Yunus

Keyword(s):

Response Surface Methodology ◽

Crude Oil ◽

Water Content ◽

Response Surface ◽

Separation Efficiency ◽

Corn Oil ◽

Oil Emulsion ◽

Optimal Values ◽

Input Variables ◽

Oil Emulsions

: In this study, the Sany-glass test was used to evaluate the performance of a new surfactant prepared from corn oil as a demulsifier for crude oil emulsions. Central composite design (CCD), based on the response surface methodology (RSM), was used to investigate the effect of four variables, including demulsifier dosage, water content, temperature, and pH, on the efficiency of water removal from the emulsion. As well, analysis of variance was applied to examine the precision of the CCD mathematical model. The results indicate that demulsifier dose and emulsion pH are two significant parameters determining demulsification. The maximum separation efficiency of 96% was attained at an alkaline pH and with 3500 ppm demulsifier. According to the RSM analysis, the optimal values for the input variables are 40% water content, 3500 ppm demulsifier, 60 °C, and pH 8.

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Study on the pressure drop of crude oil-water with surfactant flow in porous media

Journal of Dispersion Science and Technology ◽

10.1080/01932691.2021.1950548 ◽

2021 ◽

pp. 1-7

Author(s):

Huijun Zhao ◽

Xiang Ding ◽

Pengfei Yu ◽

Yun Lei ◽

Xiaofei Lv ◽

...

Keyword(s):

Porous Media ◽

Pressure Drop ◽

Crude Oil ◽

Flow In Porous Media ◽

Oil Water

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A Novel Gesture Recognition System Based on CSI Extracted from a Smartphone with Nexmon Firmware

Sensors ◽

10.3390/s21010222 ◽

2020 ◽

Vol 21 (1) ◽

pp. 222

Author(s):

Tao Li ◽

Chenqi Shi ◽

Peihao Li ◽

Pengpeng Chen

Keyword(s):

Frequency Domain ◽

Gesture Recognition ◽

Channel State Information ◽

Cross Correlation ◽

Recognition Accuracy ◽

Correlation Method ◽

Bottom Layer ◽

Recognition System ◽

Channel State ◽

State Information

In this paper, we propose a novel gesture recognition system based on a smartphone. Due to the limitation of Channel State Information (CSI) extraction equipment, existing WiFi-based gesture recognition is limited to the microcomputer terminal equipped with Intel 5300 or Atheros 9580 network cards. Therefore, accurate gesture recognition can only be performed in an area relatively fixed to the transceiver link. The new gesture recognition system proposed by us breaks this limitation. First, we use nexmon firmware to obtain 256 CSI subcarriers from the bottom layer of the smartphone in IEEE 802.11ac mode on 80 MHz bandwidth to realize the gesture recognition system’s mobility. Second, we adopt the cross-correlation method to integrate the extracted CSI features in the time and frequency domain to reduce the influence of changes in the smartphone location. Third, we use a new improved DTW algorithm to classify and recognize gestures. We implemented vast experiments to verify the system’s recognition accuracy at different distances in different directions and environments. The results show that the system can effectively improve the recognition accuracy.

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Linkages between Energy Delivery and Economic Growth from the Point of View of Sustainable Development and Seaports

Energies ◽

10.3390/en14144255 ◽

2021 ◽

Vol 14 (14) ◽

pp. 4255

Author(s):

Elżbieta Szaruga ◽

Zuzanna Kłos-Adamkiewicz ◽

Agnieszka Gozdek ◽

Elżbieta Załoga

Keyword(s):

Sustainable Development ◽

Crude Oil ◽

Cross Correlation ◽

Point Of View ◽

Oil Products ◽

Modern Approach ◽

Economic Cycles ◽

Study Results ◽

The One ◽

Oil And Oil Products

This paper presents the synchronisation of economic cycles of GDP and crude oil and oil products cargo volumes in major Polish seaports. On the one hand, this issue fits into the concept of sustainable development including decoupling; on the other hand, the synchronisation may be an early warning tool. Crude oil and oil products cargo volumes are a specific barometer that predicts the next economic cycle, especially as they are primary sources of energy production. The research study applies a number of TRAMO/SEATS methods, the Hodrick–Prescott filter, spectral analysis, correlation and cross-correlation function. Noteworthy is the modern approach of using synchronisation of economic cycles as a tool, which was described in the paper. According to the study results, the cyclical components of the cargo traffic and GDP were affected by the leakage of other short-term cycles. However, based on the cross-correlation, it was proved that changes in crude oil and oil products cargo volumes preceded changes in GDP by 1–3 quarters, which may be valuable information for decision-makers and economic development planners.

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