The Experts below are selected from a list of 246 Experts worldwide ranked by ideXlab platform
Xiao Guo - One of the best experts on this subject based on the ideXlab platform.
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A new prediction model of elemental sulfur solubility in Sour Gas mixtures
Journal of Natural Gas Science and Engineering, 2016Co-Authors: Xiao Guo, Qiao WangAbstract:Abstract The mining measure of Sour Gas reservoirs is different from that in the conventional natural Gas reservoirs due to the strong corrosivity and highly toxic of H 2 S. Accurately predicting the solubility of elemental sulfur in Sour Gas mixtures is the primary task. As a current and widely-used model on the solubility of elemental sulfur in Sour Gas mixtures, Chrastil's solubility prediction model cannot fit experimental data well. By analyzing the Chrastil's model, we transfer the constant correlation coefficient k in Chrastil's model to be a variate as a function of temperature. We also introduce the M by weakening the effects of the Gas density and then propose a new predication model. The coefficients in the new model are fitted by the experimental data. By comparing the new model with other similar type models such as Robert's formula and Hu's formula, we find the predicated results from the new model can fit the experimental data better.
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Sulfur deposition in Sour Gas reservoirs: laboratory and simulation study
Petroleum Science, 2009Co-Authors: Xiao Guo, Xuefeng Yang, Yong ZhangAbstract:Sulfur deposition in the formation, induced by a reduction in the solubility of the sulfur in the Gas phase, may significantly reduce the inflow performance of Sour Gas wells and some wells in Sour Gas reservoirs have even become completely plugged with deposited sulfur within several months. Accurate prediction and effective management of sulfur deposition are crucial to the economic viability of Sour Gas reservoirs.
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What Determines Sour Gas Reservoir Development in China
All Days, 2007Co-Authors: Xiao GuoAbstract:Abstract Sour Gas reservoirs are abundant and has promising development prospects in South China, such as Fei Xian Guan group Sour Gas reservoirs of Luo JiaZai, Pu Guang, Du Kouhe, Tie Shanpo, Long Menchang and Gao Fengchang. The development of Sour Gas reservoirs will become increasingly more important for meeting the demand of civil natural Gas market. However, considerable attention has been devoted to the dangers of hydrogen sulfide during different phases of the natural Gas industry, including drilling, completion, development, work-over operations, processing and transportation due to high toxicity and corrosivity of hydrogen sulfide. The characteristics of complex flow through porous media on account of phase behavior variation and sulfur precipitation can also lead to difficulties in scientific studies and production management. In this presentation, an overview of development of Sour Gas reservoirs in South China was provided including Sour Gas sample PVT measuring, elemental sulfur deposition evaluation and technical and operational experience and lessons. This work will help improve future management and development of Sour Gas reservoir development in China and avoid failure in operations. Introduction Sour Gas reservoirs are abundant and has promising development prospects in South China, such as Fei Xian Guan group Sour Gas reservoirs of Luo JiaZai, Pu Guang, Du Kouhe, Tie Shanpo, Long Menchang and Gao Fengchang. The development of Sour Gas reservoirs will become increasingly more important for meeting the demand of civil natural Gas market. However, considerable attention has been devoted to the dangers of hydrogen sulfide during different phases of the natural Gas industry, including drilling, completion, development, work-over operations, processing and transportation due to high toxicity and corrosivity of hydrogen sulfide. The characteristics of complex flow through porous media on account of phase behavior variation and sulfur precipitation can also lead to difficulties in scientific studies and production management. Conventional EOS can not accurately and exactly predict Gas compressibility, density, and viscosity, which are important properties in the calculations of Gas flow through reservoir rocks, material balance calculations, and design of pipelines and production facilities. Li and Guo [1] studied the accuracy of Peng-Robison EOS to predict phase equilibrium of Sour Gases. Mohsen-Nia et al[2] introduced a two constant EOS, based on theoretical background of statistical mechanics, designed specially to predict properties of Sours natural Gases. Huron et al.[3] and Evelein and Moore[4] used SRK-EOS to study the hydrocarbon system containing hydrogen sulfide and carbon dioxide. Sulfur precipitation is also an important phenomenon during Sour Gas production, as shown in Figure 1. Reduction in pressure and temperature induced sulfur precipitation by a reduction in the solubility of the sulfur in the Gas phase beyond its thermodynamic saturation point. Sulfur precipitation can impair well productivity and thus the economics precipitation can impair well productivity and thus the economics of reserve depletion[5,6,7]. Kuo and Colsmann[8] developed the first mathematical model of a solid phase precipitation in porous medium and its influence on fluid flow. Roberts[9] have used a conventional black-oil reservoir simulators to model sulfur depositional processes and described significant flow impairment induced by sulfur deposition for a history match of the Waterton field case. Lately, Guo et al.[10] have presented a new Gas-liquid-solid coupling model in fractured carbonate Gas reservoir with high H2S-content, accounting for sulfur deposition, phase behavior variation, geochemical rock-water-Gas interactions, adsorption. Abou-Kassem[11] studied numerically and experimentally the deposition of elemental sulfur in porous medium using Gas and oil flow systems. Shedid and Zekri [12] conducted a detailed experimental study using a wide range of applied flow rates, different initial concentrations of sulfur and different rock permeability. Shedid et al[13] also carried out ten dynamic flow experiments using different crude oils of different sulfur and asphaltene concentrations and under different flow rates to investigate the simultaneous deposition of sulfur and asphaltene in porous media. Guo et al. [14] have presented a Gas-liquid-solid mathematical model to predict sulfur deposition based on the characteristics of composition and phase behavior of Gas-liquid system.
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Laboratory and Simulation Investigation of Sulfur Deposition in Sour Gas Reservoir
All Days, 2006Co-Authors: Xiao Guo, Yong Zhang, Li Wang, Zhuangzhi ShuAbstract:Abstract Sulfur deposition in the formation, induced by a reduction in the solubility of the sulfur in the Gas phase, may significantly reduce the inflow performance of Sour Gas wells and even wells have become completely plugged with sulfur in Sour Gas reservoir within several months. Accurate prediction and effective management of the sulfur deposition are crucial to the economic viability of Sour Gas reservoirs. In this paper, the influences of Gas flow rate, initial hydrogen sulfide concentration and reservoir rock permeability on sulfur deposition in the core samples from X Sour Gas reservoir are investigated from a laboratory and simulation perspective. Displacement experiments were conducted using the Gas sample with hydrogen sulfide concentration of 19%. The Gas sample were flooded through the actual carbonate core sample of permeability in the range of 0.85 to 20 millidarcy and under different flow rates of 0.82, 1.25 and 3.50 cc/min. In-situ sulfur deposited was measured using Scanning Electron Microscope (SEM) to provide the amount of sulfur deposited along the core samples. In addition, a three-dimensional, multi-component model was developed to evaluate the influences of Gas flow rate, initial hydrogen sulfide concentration and reservoir rock permeability on sulfur deposition. The results indicated that the higher of Gas flow rate can reduce the deposition of sulfur, while the higher of hydrogen sulfide concentration have a severe effect on sulfur deposition in Sour Gas reservoir. In addition, the depositional rate is accelerated rapidly as the rock permeability decreases. This work can help predict exactly the permeability damage rate as a function of flow rate, or initial rock permeability and production performance during the development of Sour Gas reservoir. Sponsored by CNPC Innovation Fund and also funded by NSFC (No. 50474039) and SCST (No. 04JY029–121). Introduction Elemental sulfur is often present in appreciable quantities in Sour Gas at reservoir pressure and temperature conditions[1–2]. On the one hand, reduction of pressure and temperature generally reduces the solubility of sulfur in Sour Gas. Once the reservoir fluid has reached a sulfur-saturated state, further reductions in pressure and temperature will cause sulfur to deposit. On the other hand, the sulfur in the Gas phase also reacts to form a hydrogen polysulfide species[3–5]. Since high pressure and temperatures favor polysulfide formation, deposition of elemental sulfur occurs when changes in pressure and temperature alter the decomposition of polysulfide to elemental sulfur and H2S. Sulfur deposition in the formation, the vicinity of the wellbore and the production line, may significantly reduce the inflow performance of Sour Gas wells and even wells have become completely plugged with sulfur in Sour Gas reservoir within several months. Accurate prediction and effective management of the sulfur deposition are crucial to the economic viability of Sour Gas reservoirs.
Yongming Li - One of the best experts on this subject based on the ideXlab platform.
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prediction model of elemental sulfur solubility in Sour Gas mixtures
Journal of Natural Gas Science and Engineering, 2014Co-Authors: Jinghong Hu, Lingye Meng, Jinzhou Zhao, Lei Wang, Yongming LiAbstract:Abstract Predicting the solubility of elemental sulfur in Sour Gas mixtures is one of the most important issues in Sour Gas reservoirs development. Many experiments have shown the relationship between sulfur solubility and Sour Gas properties at different temperatures and pressures. However, the solubility model that can be used to predict sulfur solubility at different reservoir temperatures and pressures is rare. Nowadays, Roberts's solubility formula, according to fitting two groups of experiment data, is often used in Sour Gas reservoirs. Thus, building a solubility formula that contains more experimental data and experimental conditions is very critical. In this paper, based on the correlation formulas for the solubility of various solutes in super critical solvents, a new sulfur solubility formula is built by using a large number of experimental data. Through the comparison and analysis for the new solubility formula and Roberts's solubility formula, the calculation results utilizing the new solubility formula are closer to the experimental data. Therefore, the new formula can be used to predict sulfur solubility in Sour Gas reservoirs at different temperatures and pressures accurately. The new solubility model can calculate the change of sulfur solubility in Sour Gas well production and help reservoir engineers to develop the plan of Sour Gas reservoir development.
Qiao Wang - One of the best experts on this subject based on the ideXlab platform.
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A new prediction model of elemental sulfur solubility in Sour Gas mixtures
Journal of Natural Gas Science and Engineering, 2016Co-Authors: Xiao Guo, Qiao WangAbstract:Abstract The mining measure of Sour Gas reservoirs is different from that in the conventional natural Gas reservoirs due to the strong corrosivity and highly toxic of H 2 S. Accurately predicting the solubility of elemental sulfur in Sour Gas mixtures is the primary task. As a current and widely-used model on the solubility of elemental sulfur in Sour Gas mixtures, Chrastil's solubility prediction model cannot fit experimental data well. By analyzing the Chrastil's model, we transfer the constant correlation coefficient k in Chrastil's model to be a variate as a function of temperature. We also introduce the M by weakening the effects of the Gas density and then propose a new predication model. The coefficients in the new model are fitted by the experimental data. By comparing the new model with other similar type models such as Robert's formula and Hu's formula, we find the predicated results from the new model can fit the experimental data better.
Yuan Zhang - One of the best experts on this subject based on the ideXlab platform.
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Investigation on sulfur solubility in Sour Gas at elevated temperatures and pressures with an artificial neural network algorithm
Fuel, 2020Co-Authors: Yuan ZhangAbstract:Abstract Accurate prediction of the solubility of elemental sulfur in Sour Gas mixtures has been recognized as a key issue in the development of Sour Gas fields. Many experimental measurements and empirical models have shown the complicated relationships between sulfur solubility and Sour Gas properties. However, the accurate model that can be used to predict sulfur solubility in Sour Gas over a wide range of temperature and pressure is rare. Therefore, the objective of this work is to build an efficient model, namely T-S fuzzy neural network (T-S FNN), to investigate the sulfur solubility in Sour Gas. The model considers the reservoir pressure, temperature, the mole fraction of methane, hydrogen sulfide and carbon dioxide as input parameters and the sulfur solubility as target parameters. Subsequently, multiple experimental sulfur solubility data sets accessible to the literature are employed to train and test the model respectively. Finally, a series of studies are conducted to appraise the accuracy and generalization capability of the model. The result shows that the predicted solubility data had great agreement with experimental sulfur solubility with overall average absolute relative deviation of 5.35%, which proves the model in this work is feasible and effective. Additionally, it provides a new idea to the prediction of sulfur solubility in Sour Gas and helps operators to develop the Sour Gas reservoir better.
Jinghong Hu - One of the best experts on this subject based on the ideXlab platform.
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prediction model of elemental sulfur solubility in Sour Gas mixtures
Journal of Natural Gas Science and Engineering, 2014Co-Authors: Jinghong Hu, Lingye Meng, Jinzhou Zhao, Lei Wang, Yongming LiAbstract:Abstract Predicting the solubility of elemental sulfur in Sour Gas mixtures is one of the most important issues in Sour Gas reservoirs development. Many experiments have shown the relationship between sulfur solubility and Sour Gas properties at different temperatures and pressures. However, the solubility model that can be used to predict sulfur solubility at different reservoir temperatures and pressures is rare. Nowadays, Roberts's solubility formula, according to fitting two groups of experiment data, is often used in Sour Gas reservoirs. Thus, building a solubility formula that contains more experimental data and experimental conditions is very critical. In this paper, based on the correlation formulas for the solubility of various solutes in super critical solvents, a new sulfur solubility formula is built by using a large number of experimental data. Through the comparison and analysis for the new solubility formula and Roberts's solubility formula, the calculation results utilizing the new solubility formula are closer to the experimental data. Therefore, the new formula can be used to predict sulfur solubility in Sour Gas reservoirs at different temperatures and pressures accurately. The new solubility model can calculate the change of sulfur solubility in Sour Gas well production and help reservoir engineers to develop the plan of Sour Gas reservoir development.
