Nonconventional Vacuum Residue Upgrading Blended with Coal Tar by Solvent Deasphalting and Fluid Catalytic Cracking

Long, Jian; Shen, Benxian; Ling, Hao; Zhao, Jigang

doi:10.1021/ie202407u

Cited by 6 publications

(5 citation statements)

References 34 publications

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“…Компонентный состав сырья представлен нефтяными фракциями с температурами кипения от 405 до 616 о С. График ИТК разгонки гудрона приведен на рисунке 1, значение средней молярной массы составляет 409.5 кг/кмоль [7][8][9][10][11][12][13][14][15][16][17][18][19][20].…”

Section: методыunclassified

Reducing energy costs during solvent regeneration at the tar deasphalting unit

Myasoedov

Попов

Khabibrakhmanov

2021

Vestn. Voronež. gos. univ. inž. tehnol.

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For propane tar deasphalting units, a rather high energy intensity of the technological process is characteristic. In order to reduce it, an assessment was made of the possibility of reducing the steam consumption during the regeneration of propane from asphalt solution. The study was carried out using a Honeywell UniSim Design modeling system, in which a model of a propane tar deasphalting unit was formed. The Peng-Robinson method was used as a mathematical package for calculating the thermodynamic properties of the components of the fractions. The component composition of the feedstock is represented by oil fractions with boiling points from 405 to 616 °C. When carrying out a computational experiment, the following values of technological parameters were used: the tar consumption was 38.9 t / h, the ratio (propane: raw material) was (6.4: 1), the yield of deasphalted oil was about 30 wt%. The performed analysis of a typical scheme for the regeneration of propane from asphalt solution showed that in the process stream supplied to the feed of the stripping column K-6, there is already a sufficiently large amount of a vapor phase consisting practically of propane and traces of oil fractions. To efficiently use the energy of the flow without attracting additional energy costs, it is advisable to separate the gas and liquid phases before they enter the column K-6, that is, to include an additional separator in the technological scheme before it. The performed computational experiment showed that in the proposed version of the technological scheme, the steam consumption required for the release of propane decreases by 17.5%, which, accordingly, for the subsequent devices of the scheme, reduces the amount of water discharged into the sewage system. Optimization of technological modes of the stripping column K-6 provides a clear separation of propane, in the flow of which the content of bitumen fractions is 0.03 mol%, which makes it possible in industrial conditions to return the flow of propane to the feed of the extraction column. The proposed technological solution for propane recovery can be used in the processes of one- and two-stage tar deasphalting.

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Section: методыunclassified

Reducing energy costs during solvent regeneration at the tar deasphalting unit

Myasoedov

Попов

Khabibrakhmanov

2021

Vestn. Voronež. gos. univ. inž. tehnol.

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“… The content of nitrogen‐containing compounds in coal tar is as high as 1 %. Alkaline nitrogen‐containing compounds will neutralize the acidity of the catalyst and cause catalyst poisoning The oil‐soluble metals in coal tar are mainly iron, calcium, vanadium, and nickel.…”

Section: Main Problems In the Development Of Cthtmentioning

confidence: 99%

“…[29][30][31][32][33][34] (1) Thec ontento fn itrogen-containing compounds in coal tar is as high as 1%.A lkaline nitrogen-containing compounds will neutralizet he acidityo ft he catalyst and cause catalyst poisoning. [35,36] (2) Theo il-soluble metals in coal tar are mainly iron, calcium, vanadium, and nickel. Thei ron, vanadium, and nickelm ainly exist in porphyrin compounds,b ut the calcium mainly exists in organic salts.T hese metals are difficult to removeb ye lectro-desaltinga nd other methods.…”

Section: Hydrogenation Catalystsmentioning

confidence: 99%

Development, Status, and Prospects of Coal Tar Hydrogenation Technology

Yang

Zhang

et al. 2016

Energy Tech

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China is rich in coal resources, and the production of mid‐to‐low‐temperature coal tar is increasing gradually. Due to containing more aliphatic hydrocarbons and less aromatic hydrocarbons, mid‐to‐low‐temperature coal tar is suitable for hydrogenation to produce fuel oil. Domestic mid‐to‐low‐temperature coal tar hydrogenation technologies are investigated here. All the technologies are divided into 6 steps, that is, coal tar hydrogenation technology of the light fraction, the delayed coking tar, the suspending‐bed reactor, the full‐range, the extractive wide distillate, and the boiling‐bed reactor. Focused on the technical features with a detailed analysis and comparison of different hydrogenation technologies, the main problems in the development of coal tar hydrogenation are described. The developments in process technology, coal tar refinement, and deep processing products will heavily influece the direction of coal tar hydrogenation in the future.

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“… 2 Through the industrial process forecast to guide the industrial production processes can timely adjust the industrial equipment temperature, pressure, and other operating conditions to achieve the purpose of reducing resource consumption and improving product yield. In recent years, solvent deasphalting (SDA) has attracted more and more attention in heavy oil processing due to its good adaptability of raw materials, 3 , 4 especially when combined with the hydrotreating process, the catalytic cracking deasphalted oil (DAO) production process, and the hydrogen production process of deoiled asphalt (DOA). 5 However, the establishment of the SDA mechanism model requires extensive process knowledge research.…”

Section: Introductionmentioning

confidence: 99%

Yield and Properties Prediction Based on the Multicondition LSTM Model for the Solvent Deasphalting Process

et al. 2023

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Solvent deasphalting (SDA) is a complex multiscale continuous process. The operation mode of the SDA process is not considered in the related data-driven model. Therefore, this paper proposes a time lag process prediction model with multiple operation modes to solve the above problem. First, based on random forests, the relative importance of initial input variables in the SDA process on DAO yield and Conradson carbon residual are studied and features are selected according to the results. Then, the stack denoising autoencoder (SDAE) is used to reconstruct the data and obtain the nonlinear mapping information of hidden layers of SDAE and achieve feature dimension reduction. SDAE can improve clustering accuracy of fuzzy c-means, and the operation mode of SDA process is accurately divided. Long short-term memory (LSTM) is used to establish a multicondition LSTM model. Compared with the traditional LSTM model, the multicondition LSTM model has a higher prediction accuracy with R 2 > 0.95. The sensitivity analyses of the properties of feed and operating conditions on DAO yield are consistent with the principle of two-phase countercurrent extraction in the SDA process. In addition, the benchmark test of the Tennessee Eastman process shows that the proposed method is also effective in the fault detection of other processes. Because the multicondition LSTM can predict the future process measurement data according to operating mode, it can better avoid the false alarm problem and predict the fault earlier.

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Nonconventional Vacuum Residue Upgrading Blended with Coal Tar by Solvent Deasphalting and Fluid Catalytic Cracking

Cited by 6 publications

References 34 publications

Reducing energy costs during solvent regeneration at the tar deasphalting unit

Reducing energy costs during solvent regeneration at the tar deasphalting unit

Development, Status, and Prospects of Coal Tar Hydrogenation Technology

Yield and Properties Prediction Based on the Multicondition LSTM Model for the Solvent Deasphalting Process

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