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Nov 19, 2014
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Abstract
This application relates methods of making compounds A and B:
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- 15 United States
- 10 France
- 8 Japan
- 7 China
- 5 Korea
- 2 Other
Patent Owner(s)
Patent Owner | Address | |
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BOEHRINGER INGELHEIM INTERNATIONAL GMBH | GERMANY INGELHEIM AM RHEIN RHINELAND-PALATINATE |
International Classification(s)

- 2014 Application Filing Year
- C07D Class
- 5203 Applications Filed
- 4627 Patents Issued To-Date
- 88.93 % Issued To-Date
Inventor(s)
Inventor Name | Address | # of filed Patents | Total Citations |
---|---|---|---|
DESROSIERS, Jean-Nicolas | Southbury, US | 7 | 0 |
# of filed Patents : 7 Total Citations : 0 | |||
LI, Zhibin | Berlin, US | 50 | 211 |
# of filed Patents : 50 Total Citations : 211 | |||
QU, Bo | Brookfield, US | 71 | 428 |
# of filed Patents : 71 Total Citations : 428 | |||
SAVOIE, Jolaine | Danbury, US | 7 | 10 |
# of filed Patents : 7 Total Citations : 10 | |||
SENANAYAKE, Chris Hugh | Brookfield, US | 62 | 559 |
# of filed Patents : 62 Total Citations : 559 | |||
WEI, Xudong | Ridgefield, US | 31 | 336 |
# of filed Patents : 31 Total Citations : 336 | |||
ZENG, Xingzhong | New Milford, US | 8 | 1 |
# of filed Patents : 8 Total Citations : 1 |
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- 0 Citation Count
- C07D Class
- 0 % this patent is cited more than
- 10 Age
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Fee | Large entity fee | small entity fee | micro entity fee | due date |
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11.5 Year Payment | $7400.00 | $3700.00 | $1850.00 | Nov 21, 2026 |
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Surcharge - 11.5 year - Late payment within 6 months | $160.00 | $80.00 | $40.00 |
Surcharge after expiration - Late payment is unavoidable | $700.00 | $350.00 | $175.00 |
Surcharge after expiration - Late payment is unintentional | $1,640.00 | $820.00 | $410.00 |
Full Text
US Patent Application No: 2016/0376,885
Method and Apparatus for Performance Prediction of Multi-Layered Oil Reservoirs
Abstract
The present invention discloses a method and an apparatus for predicting performance profiles of multi-layered oil reservoirs, wherein the method comprises: dividing the multi-layered oil reservoirs into a plurality of blocks, and determining a reservoir type, formation factor Kh and an evaluated reserves of each layer in each block; selecting a block representing geologic features of the multi-layered oil reservoirs from the plurality of blocks as a representative block, to build a fine geological model of the representative block; building corresponding fine numerical simulation model according to the fine geological model of the representative block, and determining type curves of different reservoir types under different development strategies; determining a relation curve between Kh and well injection rate for injectors and a relation curve between Kh and well production rate for producers in the multi-layered oil reservoirs under different restrictive conditions; predicting performance of the multi-layered oil reservoirs according to the type curve, the relation curve between Kh and well injection rate, the relation curve between Kh and well production rate, and the reservoir type, formation factor Kh and evaluated reserves of each layer in each block.
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