A modified thermodynamic modeling of wax precipitation in crude oil based on PC-SAFT model

2016 ◽  
Vol 429 ◽  
pp. 313-324 ◽  
Author(s):  
H. Mashhadi Meighani ◽  
C. Ghotbi ◽  
T. Jafari Behbahani
Keyword(s):  
Crude Oil ◽  
Thermodynamic Modeling ◽  
Wax Precipitation

Experimental Investigation and Thermodynamic Modeling of Wax Precipitation in Crude Oil Using the Multi-Solid Model and PC-SAFT EOS

2019 ◽  
Vol 33 (10) ◽  
pp. 9466-9479
Author(s):  
Hamed Heidariyan ◽  
Mohammadreza Ehsani ◽  
Taraneh Jafari Behbahani ◽  
Mohsen Mohammadi
Keyword(s):  
Experimental Investigation ◽  
Crude Oil ◽  
Thermodynamic Modeling ◽  
Solid Model ◽  
Wax Precipitation

scholarly journals Safety Study on Wax Deposition in Crude Oil Pipeline

Processes ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1572
Author(s):  
Bin Yao ◽  
Deyin Zhao ◽  
Zhi Zhang ◽  
Cheng Huang
Keyword(s):  
Crude Oil ◽  
Cloud Point ◽  
Freezing Point ◽  
Development Trend ◽  
Wax Deposition ◽  
Scanning Calorimetry ◽  
Long Distance ◽  
Wax Precipitation ◽  
Oil Pipeline ◽  
Precipitation Characteristics

The Shunbei crude oil pipeline is prepared to use the unheated transportation process to transport waxy crudes. However, the wax formation in the pipeline is unknown. In order to predict the wax deposition of the pipeline, the physical property experiment of Shunbei crude oil was carried out through field sampling. The density, freezing point, hydrocarbon composition, and viscosity–temperature characteristics of crude oil are obtained. The cloud point and wax precipitation characteristics of the crude oil were obtained using the differential scanning calorimetry (DSC) thermal analysis method. Then, the wax deposition rate of the pipeline was predicted by two methods: OLGA software and wax deposition kinetic model. Finally, the optimal pigging cycle of the pipeline was calculated on this basis. The results show that: Shunbei crude oil is a light crude oil with low wax content, a low freezing point, and a high cloud point. Comparing the OLGA simulation results with the calculation results of the Huang Qiyu model, the development trend of wax deposition along the pipeline was the same under different working conditions. The relative error of the maximum wax layer thickness was 6%, proving that it is feasible for OLGA to simulate wax deposition in long-distance crude oil pipelines. Affected by the wax precipitation characteristics of Shunbei crude oil, there was a peak of wax precipitation between the pipeline section where crude oil temperature was 9.31–13.31 °C and the recommended pigging cycle at the lowest throughput was 34 days in winter and 51 days in spring and autumn.

scholarly journals Unavoidable Destroyed Exergy in Crude Oil Pipelines due to Wax Precipitation

Entropy ◽  
2019 ◽  
Vol 21 (1) ◽  
pp. 58
Author(s):  
Qinglin Cheng ◽  
JinWei Yang ◽  
Anbo Zheng ◽  
Lu Yang ◽  
Yifan Gan ◽  
...  
Keyword(s):  
Crude Oil ◽  
Design Parameters ◽  
Burial Depth ◽  
Outlet Temperature ◽  
Waxy Crude Oil ◽  
Wax Precipitation ◽  
Waxy Crude ◽  
Oil Pipeline ◽  
Oil Pipelines ◽  
Operation Parameters

Based on the technological requirements related to waxy crude oil pipeline transportation, both unavoidable and avoidable destroyed exergy are defined. Considering the changing characteristics of flow pattern and flow regime over the course of the oil transportation process, a method of dividing station oil pipelines into transportation intervals is suggested according to characteristic temperatures, such as the wax precipitation point and abnormal point. The critical transition temperature and the specific heat capacity of waxy crude oil are calculated, and an unavoidable destroyed exergy formula is derived. Then, taking the Daqing oil pipeline as an example, unavoidable destroyed exergy in various transportation intervals are calculated during the actual processes. Furthermore, the influential rules under various design and operation parameters are further analyzed. The maximum and minimum unavoidable destroyed exergy are 381.128 kJ/s and 30.259 kJ/s. When the design parameters are simulated, and the maximum unavoidable destroyed exergy is 625 kJ/s at the diameter about 250 mm. With the increase of insulation layer thickness, the unavoidable destroyed exergy decreases continuously, and the minimum unavoidable destroyed exergy is 22 kJ/s at 30 mm. And the burial depth has little effect on the unavoidable destroyed exergy. When the operation parameters are simulated, the destroyed exergy increases, but it is less affected by the outlet pressure. The increase amplitude of unavoidable destroyed exergy will not exceed 2% after the throughput rises to 80 m3/h. When the outlet temperature increases until 65 °C, the loss increase range will not exceed 4%. Thus, this study provides a theoretical basis for the safe and economical transportation of waxy crude oil.

Characterization of the wax precipitation in Iranian crude oil based on wax appearance temperature (WAT): The influence of ultrasonic waves

2020 ◽  
Vol 1202 ◽  
pp. 127239 ◽  
Author(s):  
Jaber Taheri-Shakib ◽  
Ali Shekarifard ◽  
Ezatallah Kazemzadeh ◽  
Hassan Naderi ◽  
Mahyar Rajabi-Kochi
Keyword(s):  
Crude Oil ◽  
Ultrasonic Waves ◽  
Wax Precipitation ◽  
Wax Appearance Temperature

Characterization of Brazilian Crude Oil Samples To Improve the Prediction of Wax Precipitation in Flow Assurance Problems†

2010 ◽  
Vol 24 (4) ◽  
pp. 2221-2226 ◽  
Author(s):  
C. Martos ◽  
B. Coto ◽  
J. J. Espada ◽  
M. D. Robustillo ◽  
J. L. Peña ◽  
...  
Keyword(s):  
Crude Oil ◽  
Flow Assurance ◽  
Wax Precipitation

Wax precipitation from North Sea crude oils. 4. Thermodynamic modeling

1991 ◽  
Vol 5 (6) ◽  
pp. 924-932 ◽  
Author(s):  
Karen Schou Pedersen ◽  
Per Skovborg ◽  
Hans Petter Roenningsen
Keyword(s):  
North Sea ◽  
Thermodynamic Modeling ◽  
Crude Oils ◽  
Wax Precipitation

Study of Liquid–Liquid and Liquid–Liquid–Vapor Equilibria for Crude Oil Mixtures with Carbon Dioxide and Methane Using Short-Wave Infrared Imaging: Experimental and Thermodynamic Modeling

2020 ◽  
Vol 34 (11) ◽  
pp. 14109-14123
Author(s):  
Jose F. Romero Yanes ◽  
Hosiberto B. de Sant’Ana ◽  
Filipe X. Feitosa ◽  
Magali Pujol ◽  
Julien Collell ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Crude Oil ◽  
Thermodynamic Modeling ◽  
Infrared Imaging ◽  
Short Wave ◽  
Oil Mixtures ◽  
Short Wave Infrared ◽  
Liquid Vapor
Sign in / Sign up

Export Citation Format

Share Document