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Identifikasi Data Reservoir Dengan Menggunakan Pemodelan Software RFD Untuk Mengetahui Production Forecast Rate Di Sumur J Lapangan A Edy Soesanto; Eko Prastio; Jessica Abidin
JURNAL BHARA PETRO ENERGI Vol 1 No 1: Volume 1 Nomor 1 (Maret 2022)
Publisher : Department of Petroleum Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (378.167 KB) | DOI: 10.31599/bpe.v1i1.1008

Abstract

Reservoir simulation is a process of mathematically modeling reservoir conditions by integrating various existing data (geology, geophysics, petrophysics, reservoirs, etc) to obtain reservoir performance in well conditions so that the purpose of reservoir simulation is to determine the current and future reservoir performance to estimate the rate of oil production (production forecast rate). Rapid technological developments encourage experts to create computer software that is used as a simulation tool. The method in this study uses reservoir modeling simulation software. The production forecast rate in this reservoir model is carried out for 2 years by only adding one production well in the reservoir area that has not been drained, namely infill well A. This shows that the oil production rate continues to decrease but increases the cumulative oil production. The cumulative oil production produced by well A was 33,80 STB in 2014 with an average increase of 12%. Therefore, it is necessary to evaluate the reservoir model after 2014 in detail the value of the data again so that the reservoir simulation process for the next forecast gets good oil production results.
Identifikasi Data Reservoir Dengan Menggunakan Pemodelan Software RFD Untuk Mengetahui Production Forecast Rate Di Sumur J Lapangan A Edy Soesanto; Eko Prastio; Jessica Abidin
Jurnal Bhara Petro Energi Vol.3 No.1 (Mei 2024)
Publisher : Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/xv8tx982

Abstract

Reservoir simulation is a process of mathematically modeling reservoir conditions by integrating various  existing  data  (geology,  geophysics,  petrophysics,  reservoirs,  etc)  to  obtain  reservoir performance  in  well  conditions  so  that  the  purpose  of  reservoir  simulation  is  to  determine  the current  and  future  reservoir  performance  to  estimate  the  rate  of  oil  production  (production forecast  rate).  Rapid  technological  developments  encourage  experts  to  create  computer software  that  is  used  as  a  simulation  tool.  The  method  in  this  study  uses  reservoir  modeling simulation  software.  The  production  forecast  rate  in  this  reservoir  model  is  carried  out  for  2 years  by  only  adding  one  production  well  in  the  reservoir  area  that  has  not  been  drained, namely infill well A. This shows that the oil production rate continues to decrease but increases the cumulative oil production. The cumulative oil production produced by well A was 33,80 STB in  2014  with  an  average  increase  of  12%.  Therefore,  it  is  necessary  to  evaluate  the  reservoir model after 2014 in detail the value of the data again so that the reservoir simulation process for the next forecast gets good oil production results.