Indian Institute of Technology Delhi

Bharat Petroleum Corporation Limited

Other

Ongc Energy Centre

Sreedevi Upadhyayula

Ravi Kumar Voolapalli

Rajeev Kumar

Tanmoy Patra

Subhasis Paul

Sanjay Bhargava

Parvatalu Damaraju

Pranab Kumar Rakshit

Bharat Bhargava

Seetaram Chebrolu

Ashok Niwritti Bhaskarwar

Kishore Kondamudi

Satinath Banerjee

A process for decomposition of sulfuric acid, particularly a process for catalytically decomposing sulfuric acid is used to obtain sulfur dioxide therefrom. Catalysts are used for improving the dissociation efficiency by lowering the activation energy barrier for the reaction.

Process for conversion of sulfur trioxide and hydrogen production

An aspect of the present disclosure relates to a process for solvent deasphalting dearomatization, said process including: effecting deasphaltenation of a heavy oil feed by contacting the feed with a paraffinic rich solvent, optionally, in presence of a FCC catalyst to obtain a deasphalted oil rich stream, said paraffinic rich solvent being untreated naphtha; contacting the DAO rich stream with a second solvent to obtain a raffinate stream rich in non-asphaltene and non-aromatic contents and a solvent rich stream; contacting the raffinate stream with water in a first decanter to obtain a first stream rich in aromatic-lean fraction and a second stream rich in the second solvent and water; subjecting the first stream to distillation to recover the paraffinic rich solvent and to obtain deasphalted oil; contacting the solvent rich stream with water in a second decanter to obtain an aromatic rich fraction and a third stream rich in the second solvent and water; and subjecting the second stream and the third stream to distillation to recover the second solvent and water.

Solvent deasphalting dearomatization process for heavy oil upgradation

The present invention relates to an ionic liquid based support of Formula-I: wherein: Xis a heteroatom containing cationic part; W is a halogen containing polymeric solid support; n is an integer in the range of 2 to 8; Y is a hydrophobic anion; R is selected from CO&#x2014;Z or Z; Z is selected from the group consisting of &#x2014;Cl, &#x2014;Br, &#x2014;OH, &#x2014;O-Alkyl and combinations thereof. The present invention also relates to a process for preparation of said ionic liquid based support used for di, oligo or polypeptide manufacture.

Ionic liquid based support for manufacture of peptides

The present invention relates to a novel process for preparation of peptides having amino acid chain length in the range of 2-40 comprises the steps: i) attaching an end-blocked amino acid with an ionic liquid based solid support in presence of an ionic solvent to obtain an end-terminal blocked amino acid attached ionic liquid; ii) removing end-terminal blocking agent from the end-terminal blocked amino acid attached ionic liquid of step i) followed by work up to obtain an amino acid attached ionic liquid; iii) repeating steps i) through ii) one or more times to obtain a polypeptide attached ionic liquid; and iv) detaching the polypeptide from the polypeptide attached ionic liquid of step iii) to obtain the polypeptide. Said process does not use any auxiliary reagents like dehydrating agent or activating agent. The use of ionic liquids as supports as well as solvents result in the faster kinetics of the process, the separation issues are reduced, and the process has no racemization issues.

Process for preparation of a peptide

Methods and systems for predicting crude oil blend compatibility and optimizing blends for increasing heavy crude oil processing are described. The method includes receiving ratios of physical parameters of crude oils for optimization of crude oil blend. The physical parameter ratios are based on Kinematic Viscosity (V), Sulphur (S), Carbon Residue (C), and American Petroleum Institute (API) gravity. The crude oil blend compatibility (K model) is determined and generated using the physical parameter ratios. The K model is developed by coefficients obtained by regression analysis between the ratios of physical parameters of known crude oils and composite compatibility measure determined from multiple compatibility test results of the known crude oils. The predicted crude oil blend compatibility can be used for optimizing heavy crude oil processing.

Prediction of crude oil blend compatibility and blend optimization for increasing heavy oil processing

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New Delhi, India

Sreedevi Upadhyayula