E-SIBILLA ENI SELF-ADAPTIVE INTEGRATED BIOGENETICAL INTELLIGENCE FOR LONG-
associated with 33 other trademarks
Downloadable database software for industrial forecasts and production forecasts in the field of oil and gas Research platform services and data plann...

Words that describe this trademark:

oil gas research  field oil gas  production forecasts  software industrial  gas research  database software  research platform  forecasts  industrial 

Serial Number:

79258683

Mark:

E-SIBILLA ENI SELF-ADAPTIVE INTEGRATED BIOGENETICAL INTELLIGENCE FOR LONG-

Status:

Registered

Status Date:

01-14-2020

Filing Date:

Registration Number:

5958346

Registration Date:

01-14-2020

Goods and Services:

Downloadable database software for industrial forecasts and production forecasts in the field of oil and gas Research platform services and data planning platform services in the nature of platform as a service (PAAS) featuring computer software platforms for research and data planning relating to industrial oil and gas production forecasts; development and management of software database, in the nature of programming and development of computer software; development of algorithms for industrial oil and gas production forecasts in the nature of computer programing

Mark Description:

The mark consists of a six-legged black dog breathing red fire at the top of a yellow square with the wording "E-SIBILLA" in black at the bottom of the yellow square, and to the right of the yellow square is a white square with a black frame containing the wording "eni self-adaptive integrated biogenetical intelligence for long-term large-scale analytics" in black. The color white, as it appears in the remainder of the drawing, represents background and is not claimed as a feature of the mark.

Class:

Scientific and technological services

Type of Mark:

Trademark

Published for Opposition Date:

10-29-2019

Mark Drawing Status:

Design plus Words, Letters, and/or Numbers

Abandon Date:

N/A

Business Name:

VIA VINCENZO BELLINI, 20

Correspondent Name:

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