Sentence examples for modelling of petroleum from inspiring English sources

Kinetic modelling of petroleum processes is particularly difficult given the complexity of the feedstocks.

Therefore, the modelling of petroleum supply chain considering sustainability and pricing issues is investigated for the first time in this work and a sustainable competitive petroleum supply chain (SCPSC) model is developed to minimize pollution while maximizing the profits and job creation.

We illustrate our geometric approach to evolutionary models of petroleum deposits.

Thirdly, we propose the design of the BP neural network and select the smallest simulation error of the BP neural network as a forecasting model of petroleum projects.

However, the literature does not report an approach whereby actual crude and/or its chemical composition is used during the modeling of petroleum thermodynamics.

The rules were developed with the objective of constructing forward models of petroleum reservoirs that are internally consistent, reproducible, and quantifiable.

Among them, we let different numbers of hidden nodes as the dynamic parameters of BP neural networks [40 42] and select the smallest simulation error of the BP neural network as a forecasting model of petroleum projects.

Molecular model of petroleum fractions plays an important role in the designing, simulation and optimization for petrochemical processes such as pyrolysis process, catalytic reforming and fluid catalytic cracking (FCC).

Nonetheless, models of petroleum refining processes must have a molecular basis to be useful in predicting the molecular composition of products and their physical and quality properties required by industry specifications.

An exhaustive review of the scientific literature on kinetic modeling of heavy petroleum fraction hydrocracking is reported in this paper.

The empirical model NDFM could be regarded as the most kinetic model for the gasification of petroleum coke.