Patents by Inventor ENI S.P.A.

ENI S.P.A. has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20130150502
    Abstract: Stabilized photoactive composition comprising at least one photoactive organic polymer; at least one light stabilizer selected from hindered amines; at least one UV absorber selected from triazines, benzoxazinones, benzotriazoles, benzophenones, benzoates, formamidines, cinnamates or propenoates, aromatic propanediones, benzoimidazoles, cycloaliphatic ketones, formanilides including oxamides, cyanoacrylates, benzopyranones, salicylates, or mixtures thereof. Said photoactive composition can be advantageously used in the construction of photovoltaic devices such as, for example, photovoltaic cells, photovoltaic modules, solar cells, solar modules, on both rigid and flexible supports.
    Type: Application
    Filed: February 5, 2013
    Publication date: June 13, 2013
    Applicant: Eni S.P.A.
    Inventor: Eni S.P.A.
  • Publication number: 20130105358
    Abstract: The present invention relates to a process for the production of middle distillates from a paraffinic feedstock produced by Fischer-Tropsch synthesis comprising a limited content of molecules containing at least one oxygen atom in which said feedstock is subjected to at least one hydrocracking/hydroisomerization stage in the presence of a hydrogen stream also containing a limited atomic oxygen content.
    Type: Application
    Filed: October 26, 2012
    Publication date: May 2, 2013
    Applicants: IFP ENERGIES NOUVELLES, ENI S.P.A.
    Inventors: ENI S.P.A, IFP Energies Nouvelles
  • Publication number: 20130103627
    Abstract: A method for predicting the properties of crude oils by the application of neural networks articulated in phases and characterized by determining the T2 NMR relaxation curve of an unknown crude oil and converting it to a logarithmic relaxation curve; selecting the values of the logarithmic relaxation curve lying on a characterization grid; entering the selected values as input data for a multilayer neural network of the back propagation type, trained and optimized by means of genetic algorithms; predicting, by means of the trained and optimized neural network, the physico-chemical factors of the unknown crude oil. The method comprises a training and optimization process of the multilayer neural network of the back propagation type. The method thus defined allows the most representative physico-chemical factors of crude oils to be predicted rapidly and without onerous laboratory structures, or alternatively the distillation curve of crude oils with an acceptable approximation degree.
    Type: Application
    Filed: October 18, 2012
    Publication date: April 25, 2013
    Applicant: ENI S.P.A.
    Inventor: ENI S.P.A.