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Pelaksanaan Data Seismik

PT. Pertamina Hulu Mahakam

Prakualifikasi No. PQPS000512-TFZ
TUNU SHALLOW ZONE (TSZ) MACHINE LEARNING PROJECT

Register Date:
11-Nov-2019 07:30 WIB Until 15-Nov-2019 17:30 WIB

Minimum LC / TKDN Requirement (%):
Required ( 35.00% )

Minimum HSE Score of JRA Risk:
0.00

Tender Type:
Service with contract duration start from 01-Feb-2020 to 31-Jan-2021

Eligible for Agent/Manufacture:
No

Qualification:
Usaha Menengah,Usaha Besar

Classification:
02.a.03. - SURVEI SEISMIK - PELAKSANAAN DATA SEISMIK (SEISMIK DATA PROCESSING); 02.c.01. - GEOLOGI DAN GEOFISIKA - INTERPRETASI DATA GEOLOGI DAN GEOFISIKA; 02.p.01 - JASA KONSULTAN;

Description:
TUNU SHALLOW ZONE (TSZ) MACHINE LEARNING PROJECT. TKDN Minimum Requirement is 35%. Expected Commencement Date: 01 February 2020. Operational Duration : 1 year. HSE Risk Level : Low Risk. Technical contact person : Henry Marthadinata. Direct line : (0542) 60947 3253.
Note
Note:

"For MANUAL registration please submit the following documents then continue applying for SKTPM account in Procurement Committee website"

a.       Copy of valid SPDA certificate

b.       Copy Certificate TKDN issued by Kementerian Perindustrian (if any)

c.        Copy of highest value of completed single PO/Contract related to the classification for last 7 years

Brief Description :

a.       Service:

1.       CONTRACTOR shall provide COMPANY with a robust Machine Learning trained model that can provide recommendation on the gas sand likelihood of the anomalies identified on Tunu Shallow Zone;

2.       CONTRACTOR shall deliver the output of Machine Learning project in the existing platform and software used by COMPANY in finding Tunu Shallow zone reservoir targets;

3.       CONTRACTOR shall provide the gas sand likelihood in a way that can easily be visualized and Quality Checked by COMPANY;

4.       CONTRACTOR shall provide COMPANY with the flexibility to add more data and to re-train the model following the results of continuous drilling activities in Tunu Shallow Zone, using the available resources that COMPANY currently have, both hardware and software;

5.       CONTRATOR shall provide COMPANY with  the reports of the project in detail;

6.       CONTRACTOR shall provide COMPANY with source code of the Machine Learning to allow COMPANY modifying it when considered necessary;

7.       The hardware used for this Machine Learning project should be on PHM’s premises and on service during the duration of project, which is 1 year regardless if the model can be finished in less than 1 year

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