Determination of minimum miscibility pressure in N2–crude oil system: A robust compositional model

Hemmati-Sarapardeh, Abdolhossein; Mohagheghian, Erfan; Fathinasab, Mohammad; Mohammadi, Amir H.

doi:10.1016/j.fuel.2016.05.079

Cited by 38 publications

(12 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The basic objective was to conduct a comparative analysis between model yields and real values. The accuracy of the model's accuracy is improved when the fitted line approaches the bisector line [ 39 , 40 ]. A remarkable linear correlation is achieved between the model outputs and actual values for R 2 = 1, which gets weaker when the R 2 value approaches to zero [ 41 , 42 ].…”

Section: Resultsmentioning

confidence: 99%

Implementing PSO-ELM Model to Approximate Trolox Equivalent Antioxidant Capacity as One of the Most Important Biological Properties of Food

Elveny

Akhmadeev

Dinari

et al. 2021

BioMed Research International

View full text Add to dashboard Cite

In this paper, the Trolox equivalent antioxidant capacity (TEAC) is estimated through a robust machine-learning algorithm known as the Particle Swarm Optimization-based Extreme Learning Machine (PSO-ELM) model. For this purpose, a large dataset from previously published reports was gathered. Various analyses were performed to evaluate the proposed model. The results of the statistical analysis showed that this model can predict the actual values with high accuracy, so that the calculated R 2 and RMSE values were equal to 0.973 and 3.56, respectively. Sensitivity analysis was also performed on the effective input parameters. The leverage technique was also performed to check the accuracy of real data, and the results showed that the majority of data are reliable. This simple yet accurate model can be very powerful in predicting the Trolox equivalent antioxidant capacity values and can be a good alternative to laboratory data.

show abstract

Section: Resultsmentioning

confidence: 99%

Implementing PSO-ELM Model to Approximate Trolox Equivalent Antioxidant Capacity as One of the Most Important Biological Properties of Food

Elveny

Akhmadeev

Dinari

et al. 2021

BioMed Research International

View full text Add to dashboard Cite

show abstract

“…In this study, the SA optimization algorithm is selected as an e cient optimization method. This optimization algorithm is implemented in the petroleum literature for many di erent applications [46][47][48][49]. SA was rst introduced by Kirkpatrick et al [50] and Cerny [51].…”

Section: Simulated Annealing (Sa) Optimizermentioning

confidence: 99%

Simulation Optimization of Water Alternating Gas (WAG) Process under Operational Constraints: A Case Study in the Persian Gulf

2019

View full text Add to dashboard Cite

The optimization of the e ciency of Water Alternating Gas (WAG) ooding projects can guarantee the success of these projects. Many operational constraints can indirectly a ect ooding e ciency. Their e ects are not normally considered during routine optimizations. The main aim of this study is to determine the in uence of these constraints (e.g., maximum water-cut, maximum Gas-Oil Ratio (GOR), and minimum Bottom Hole Pressure (BHP) during the WAG process). Implementing a reservoir simulator coupled with Simulating-Annealing (SA) enables us to discover the e ects of these constraints during simulation optimization. The developed optimizer is applied to a case study from an Iranian formation located in the Persian Gulf. The recovery factor of WAG ooding is compared with that of the conventional water ooding and gas injection. Moreover, the optimization of individual and simultaneous WAG parameters is analyzed. Results indicate that: (a) Operational constraints can not only alter the production mechanism but also directly a ect the ultimate recovery factor; (b) The recovery factor of simultaneous optimization of all WAG parameters is higher than that of individual parameter optimization; (c) Irrespective of the approach to parameter optimization, WAG ratio (or the volume fraction of injected water to gas) remains almost constant during all optimizations, showing the in uence of this parameter during WAG ooding scenarios.

show abstract

“…Although the carbon dioxide is known as a very effective agent to displace oil from the reservoir by achieving miscibility through multiple contacts with oil via vaporization and swelling, there are major drawbacks to CO 2 flooding including but not limited to availability and high cost, asphaltene precipitation, corrosion in the well and surface facilities and environmental constraints. Such that, the limitations on cost and availability of CO 2 has made nitrogen a potential candidate for EOR processes, especially for deep and high pressure reservoirs of light and volatile oil where miscible displacement could be achieved [13].…”

Section: Theoretical and Experimental Data Modelmentioning

confidence: 99%

“…In this sense, miscible gas injection processes have become widely used technique for the enhanced oil recovery (EOR) or improved oil recovery (IOR). In miscible gas flooding, the goal is to miscible displaces the trapped oil fractions with the help of gaseous solvent, such as natural gas, enriched natural gas, carbon dioxide, flue gas, methane, nitrogen, among others or a hydrocarbons fluid [12,13].…”

Section: Introductionmentioning

confidence: 99%

Modeling an Ascending Nitrogen Gas Bubble in a Medium Crude Oil by Lattice Boltzmann Method

Silva¹,

Miguel²

2018

View full text Add to dashboard Cite

The study and modeling of oil biphasic systems, liquid-liquid and liquid-gas, focus mainly on the details of the modifications and application of the numerical methods itself. The correspondence between theoretical and experimental results and the information needed to apply a certain numerical method, usually remain in the background. On the other hand, in the particular case of the prediction of minimum miscibility pressure, extremely important parameter in oil exploration, references that show qualitative and numerical data associated with the characterization of the systems are scarce. The above reasons motivated the realization of this work. We used the Lattice Boltzmann Equation method to model a two-dimensional system of the displacement of a nitrogen gas bubble through a medium crude oil, under different pressure conditions keeping the temperature constant. According to experimental data, the bubble is not miscible by the crude, under a pressure range of 5000 psi to 6500 psi; nevertheless, the bubble is miscible in the range of 7000 psi to 7500 psi. Throughout simulations performed under similar conditions, we showed that it can be inferred the critical pressure range of miscibility of a medium crude oil.

show abstract

Determination of minimum miscibility pressure in N2–crude oil system: A robust compositional model

Cited by 38 publications

References 31 publications

Implementing PSO-ELM Model to Approximate Trolox Equivalent Antioxidant Capacity as One of the Most Important Biological Properties of Food

Implementing PSO-ELM Model to Approximate Trolox Equivalent Antioxidant Capacity as One of the Most Important Biological Properties of Food

Simulation Optimization of Water Alternating Gas (WAG) Process under Operational Constraints: A Case Study in the Persian Gulf

Modeling an Ascending Nitrogen Gas Bubble in a Medium Crude Oil by Lattice Boltzmann Method

Contact Info

Product

Resources

About