Experimental study of asphaltene precipitation prediction during gas injection to oil reservoirs by interfacial tension measurement

2015 ◽  
Vol 466 ◽  
pp. 138-146 ◽  
Author(s):  
Yousef Kazemzadeh ◽  
Rafat Parsaei ◽  
Masoud Riazi
Keyword(s):  
Experimental Study ◽  
Interfacial Tension ◽  
Gas Injection ◽  
Oil Reservoirs ◽  
Asphaltene Precipitation ◽  
Precipitation Prediction

scholarly journals Experimental Study on EOR Performance of Natural Gas Injection in Tight Oil Reservoirs

2019 ◽  
Vol 252 (5) ◽  
pp. 052021
Author(s):  
Haiyang Yu ◽  
Zhewei Chen ◽  
Xin Lu ◽  
Shiqing Cheng ◽  
Youan He ◽  
...  
Keyword(s):  
Experimental Study ◽  
Natural Gas ◽  
Gas Injection ◽  
Oil Reservoirs ◽  
Tight Oil ◽  
Tight Oil Reservoirs

An Experimental Study at an Abu Dhabi Reservoir of Asphaltene Precipitation Caused By Gas Injection

2005 ◽  
Vol 20 (02) ◽  
pp. 115-125 ◽  
Author(s):  
S. Negahban ◽  
J.N.M. Bahamaish ◽  
N. Joshi ◽  
J. Nighswander ◽  
A.K.M. Jamaluddin
Keyword(s):  
Experimental Study ◽  
Gas Injection ◽  
Abu Dhabi ◽  
Asphaltene Precipitation

Application of Artificial Neural Network-Particle Swarm Optimization Algorithm for Prediction of Asphaltene Precipitation During Gas Injection Process and Comparison With Gaussian Process Algorithm

2015 ◽  
Vol 137 (6) ◽  
Author(s):  
Abbas Khaksar Manshad ◽  
Habib Rostami ◽  
Hojjat Rezaei ◽  
Seyed Moein Hosseini
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Particle Swarm Optimization ◽  
Gaussian Process ◽  
Gas Injection ◽  
Oil Reservoirs ◽  
Asphaltene Precipitation ◽  
Oil Composition ◽  
Swarm Optimization ◽  
The Neural Network

Asphaltene precipitation is a major problem in the oil production and transportation of oil. Changes in pressure, temperature, and composition of oil can lead to asphaltene precipitation. In the case of gas injection into oil reservoirs, the injected gas causes a change in oil composition and may lead to asphaltene precipitation. Accurate determination and prediction of the precipitated amount are vital, for this purpose there are several approaches such as experimental method, scaling equation, thermodynamics models, and neural network as the most recent ones. In this paper, we propose a new artificial neural network (ANN) optimized by particle swarm optimization (PSO) to predict the amount of asphaltene precipitation. This is conducted during the process of gas injection into oil reservoirs for enhanced oil recovery purposes. In the developed models, (1) oil composition, (2) temperature, (3) pressure, (4) oil specific gravity, (5) solvent mole percent, (6) solvent molecular weight, and (7) asphaltene content are considered as input parameters to the neural network. The weight of asphaltene and asphaltene content are considered as input parameters to the neural network and the weight of asphaltene precipitation as an output parameter. A comparison between the results of the proposed new model with Gaussian Process algorithm and previous research shows that the predictive model is more accurate.

Experimental study of the stimulating mechanism of shut-in after hydraulic fracturing in unconventional oil reservoirs

Fuel ◽  
2021 ◽  
Vol 300 ◽  
pp. 120982
Author(s):  
Junrong Liu ◽  
James J. Sheng ◽  
Hossein Emadibaladehi ◽  
Jiawei Tu
Keyword(s):  
Experimental Study ◽  
Hydraulic Fracturing ◽  
Oil Reservoirs ◽  
Unconventional Oil

Experimental study and numerical simulation of urea-assisted SAGD in developing exra-heavy oil reservoirs

2021 ◽  
Vol 201 ◽  
pp. 108436
Author(s):  
Daode Hua ◽  
Pengcheng Liu ◽  
Peng Liu ◽  
Changfeng Xi ◽  
Shengfei Zhang ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Experimental Study ◽  
Heavy Oil ◽  
Oil Reservoirs ◽  
Heavy Oil Reservoirs
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