dc.contributor.advisor |
Rahman, Dr. Mohammed Mahbubur |
|
dc.contributor.author |
Aliur Rahman, Md. |
|
dc.date.accessioned |
2023-11-22T04:35:02Z |
|
dc.date.available |
2023-11-22T04:35:02Z |
|
dc.date.issued |
2022-02-01 |
|
dc.identifier.uri |
http://lib.buet.ac.bd:8080/xmlui/handle/123456789/6497 |
|
dc.description.abstract |
Saldanadi Gas Field was discovered by BAPEX in 1996. Initially two gas sands were discovered and production was commenced with 2 wells, Saldanadi – 1 and 2. Later on 2 more were drilled. Although, the Gas initially in place (GIIP) by various estimates ranged from 300 – 328 BSCF, the total recovery from this field to date is only about 65 BSCF. This reservoir has been quite challenging from the beginning, because the wellhead pressures and production rates reduce sharply. It has been identified as a tight gas reservoir, and a sound production strategy for this field is yet to be established.
The approach taken in this work is reservoir simulation. From the available geological, geophysical and petrophysical data, a 3 dimensional reservoir model was constructed. Then by dynamic simulation the production and pressure history were matched. One a satisfactory math obtained, the model was used for prediction of future production. Five different development and production scenarios were studied. These included the existing condition as well as drilling 3 new well.
The results indicate that, with the existing system the maximum recovery from this field would be about 31.11%. However, this figure may be improved by the different strategies examined in this research. It is seen that forecast scenario 5, which considers 3 additional well and workover on the existing wells, could yield a recovery as high as 79.22%. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Department of Petroleum and Mineral Resources Engineering (PMRE), BUET |
en_US |
dc.subject |
Gas field reservoir -- Salda Nadi |
en_US |
dc.title |
Determination of optimum production and development strategy for Salda Nadi gas field by simulation technique |
en_US |
dc.type |
Thesis-MSc |
en_US |
dc.contributor.id |
0417132022 |
en_US |
dc.identifier.accessionNumber |
119273 |
|
dc.contributor.callno |
665.7730954922/ALI/2022 |
en_US |