The Experts below are selected from a list of 2397 Experts worldwide ranked by ideXlab platform
M.a. Al-marhoun - One of the best experts on this subject based on the ideXlab platform.
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The Oil Compressibility Below Bubble Point Pressure Revisited - Formulations and Estimations
SPE Middle East Oil and Gas Show and Conference, 2013Co-Authors: M.a. Al-marhounAbstract:Oil Compressibility plays an important role in reservoir simulation, material balance calculations, design of high-pressure surface-equipment and the interpretation of well test analysis, specifically for systems below the bubble point pressure. Accurate information on the Oil fluid Compressibility above and below bubble point pressure is very important for reservoir evaluation. The conventional definition of the isothermal Oil Compressibility below bubble point pressure is being questioned on its scientific merit and challenged against the basic Compressibility definition and the general trend of physical behavior of Compressibility. This paper presents a new derivation based on the basic Compressibility definition to calculate the Oil Compressibility below bubble point pressure. The experimental data obtained from flash and differential liberation tests is utilized to determine the isothermal Oil Compressibility values. It is found that the Oil and gas compressibilities below original Oil bubble point pressure computed in the conventional method may lead to errors in reserve estimation for saturated reservoirs and skin factor in well test analysis.
Chuan Sieu Poh - One of the best experts on this subject based on the ideXlab platform.
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ESTIMATION OF COEFFICIENT OF ISOTHERMAL Oil Compressibility AT RESERVOIR PRESSURE GREATER THAN BUBBLE POINT PRESSURE USING GROUP METHOD OF DATA HANDLING
2014Co-Authors: Chuan Sieu PohAbstract:The procedures of determining the Oil Compressibility through PVT analyses are usually costly and time consuming. Therefore, various empirical correlations were designed in order to accurately estimate the Oil Compressibility. This project focuses on designing a model correlation which could accurately predict the Oil Compressibility coefficient above bubble point pressure. The new model correlation using the Polynomial GMDH method will be compared in terms of its accuracy and reliability with actual PVT data and also current Oil Compressibility correlation using different types of analysis such as trend analysis, group error analysis, statistical error analysis and graphical error analysis. A total number of 195 data sets were collected from the Mediterranean Basin, Africa, Persian Gulf and the North Sea and after data filtration 183 data were used and divided into 3 sections of training, validation and testing data sets in a ratio of 2:1:1. Using the Polynomial GMDH technique, 3 input parameters were found to be affecting the outputs which are Reservoir Pressure, Solution GOR and Bubble Point Pressure. The new model correlations were then compared with the other correlations and it surpasses all of the other correlations in terms accuracy by having the lowest Root Mean Square Error, Average Percent Relative Errors, Average Absolute Percent Relative Error and Standard Deviations. Furthermore, it is worth to note that the Absolute Percent Relative Error was the main statistical analysis criteria in this study and the Polynomial GMDH model obtained the lowest value. Overall, the Polynomial GMDH model is a robust model and can be affectively applied within its trained data ranges.
Olaoluwa Opeoluwa Adepoju - One of the best experts on this subject based on the ideXlab platform.
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coefficient of isothermal Oil Compressibility for reservoir fluids by cubic equation of state
2006Co-Authors: Olaoluwa Opeoluwa AdepojuAbstract:Coefficients of isothermal Oil Compressibility are usually obtained from reservoir fluid analysis. Reservoir fluid analysis is an expensive and time consuming operation that is not always available when the volumetric properties of reservoir fluids are needed. For this reason correlations have been developed and are being developed for predicting fluid properties including the coefficient of isothermal Oil Compressibility. This project developed a mathematical model for predicting the coefficient of isothermal Oil Compressibility based on Peng-Robinson Equation of State (PR EOS). A computer program was developed to predict the coefficient of isothermal Compressibility using the developed model. The predicted coefficient of isothermal Oil Compressibility closely matches the experimentally derived coefficient of isothermal Compressibility.
M A Almarhoun - One of the best experts on this subject based on the ideXlab platform.
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the coefficient of isothermal Compressibility of black Oils
Middle East Oil Show, 2003Co-Authors: M A AlmarhounAbstract:This paper presents a new correlation for the coefficient of isothermal Compressibility of black Oils at pressures above the bubble point. The correlation is expressed as an empirical function of Oil relative density at bubble point pressure, reservoir temperature, bubble point pressure and the reservoir pressure. A total of 3412 data points from 186 laboratory PVT analyses from Middle East fields were used to develop the Oil Compressibility correlation. The data encompassed a wide range of gas-Oil ratios, Oil and gas relative densities, reservoir pressure, and reservoir temperature. Multiple linear and nonlinear regressions were used to develop this model. This model is chosen from large number of models tested. The evaluation of the correlation includes comparative studies of the new and existing mathematical models of Oil Compressibility correlation. The model is validated by using three different data sets from other geographical region of the world not used in the development of the model. The newly developed mathematical model and correlation outperforms the existing mathematical models and correlations for Oil Compressibility based on low value of average absolute percent relative error and standard deviation. Background The isothermal Oil Compressibility is an important physical property in the design of high-pressure surface equipment and reservoir calculations. Higher accuracy of Oil Compressibility estimates will improve the accuracy of the design of highpressure surface equipment and material balance calculations. The isothermal Oil Compressibility is defined as the unit change of volume with pressure. It is a point function as shown:
Mohamed Hassan - One of the best experts on this subject based on the ideXlab platform.
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position control of hydraulic servo system using proportional integral derivative controller tuned by some evolutionary techniques
Journal of Vibration and Control, 2016Co-Authors: Mohamed Elsayed M Essa, Magdy A S Aboelela, Mohamed HassanAbstract:This paper uses a particle swarm optimization (PSO) algorithm, an adaptive weighted PSO (AWPSO) algorithm, and a genetic algorithm (GA) to determine the optimal proportional-integral-derivative controller’s parameters of a hydraulic position control system. A typical hydraulic servo system has been selected as an application. The mathematical model of this hydraulic servo system which comprises the most relevant dynamics and nonlinear effects is considered. The model simulates the behavior of a REXROTH servo valve and includes the nonlinearities of friction forces, valve dynamics, Oil Compressibility, and load influence. The performance indices, which have been used in the optimization process, are integral absolute error, integral square error and integral time absolute error. The proposed controller is implemented on the simulation model to identify the best method for tuning the controller. Compared with GA and AWPSO results, the PSO method has been found to be more efficient and robust in improving th...
