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Tutuka Ariadji
Department of Petroleum Engineering, Institut Teknologi Bandung, Jalan Ganesa No. 10, Bandung, Jawa Barat 40132, Indonesia
Astronomy Computer Science & IT Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering

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Optimization of Vertical Well Placement for Oil Field Development Based on Basic Reservoir Rock Properties using a Genetic Algorithm Ariadji, Tutuka; Sukarno, Pudjo; Sidarto, Kuntjoro Adji; Soewono, Edy; Riza, Lala Septem; David, Kenny
Journal of Engineering and Technological Sciences Vol 44, No 2 (2012)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (552.057 KB) | DOI: 10.5614/itbj.eng.sci.2012.44.2.2

Abstract

Comparing the quality of basic reservoir rock properties is a common practice  to  locate  new  infill  or  development  wells  for  optimizing  oil  field development using reservoir simulation. The conventional technique employs a manual  trial-and-error  process  to  find  new  well  locations,  which  proves  to  be time-consuming, especially for large fields. Concerning this practical matter, an alternative in the form of a robust technique is introduced in order to reduce time and  effort  in  finding  new  well  locations  capable  of  producing  the  highest  oil recovery. The objective of this research was to apply a genetic algorithm (GA) for determining well locations using reservoir simulation, in order to avoid the conventional  manual  trial-and-error  method.  This  GA  involved  the  basic  rock properties,  i.e.  porosity,  permeability,  and  oil  saturation,  of  each  grid  block obtained from a reservoir simulation model, to which a newly generated fitness function was applied, formulated by translating common engineering  practice in reservoir  simulation  into  a  mathematical  equation  and  then  into  a  computer program. The maximum fitness value indicates the best grid location for a new well. In order to validate the proposed GA method and evaluate the performance of the program, two fields with different production profile characteristics were used, fields X and Y. The proposed method proved to be a robust and accurate method to find the best new well locations for oil field development. The key to the success of the proposed  GA method lies in the formulation of the objective functions.
Optimization of Vertical Well Placement for Oil Field Development Based on Basic Reservoir Rock Properties using a Genetic Algorithm Tutuka Ariadji; Pudjo Sukarno; Kuntjoro Adji Sidarto; Edy Soewono; Lala Septem Riza; Kenny David
Journal of Engineering and Technological Sciences Vol. 44 No. 2 (2012)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.eng.sci.2012.44.2.2

Abstract

Comparing the quality of basic reservoir rock properties is a common practice  to  locate  new  infill  or  development  wells  for  optimizing  oil  field development using reservoir simulation. The conventional technique employs a manual  trial-and-error  process  to  find  new  well  locations,  which  proves  to  be time-consuming, especially for large fields. Concerning this practical matter, an alternative in the form of a robust technique is introduced in order to reduce time and  effort  in  finding  new  well  locations  capable  of  producing  the  highest  oil recovery. The objective of this research was to apply a genetic algorithm (GA) for determining well locations using reservoir simulation, in order to avoid the conventional  manual  trial-and-error  method.  This  GA  involved  the  basic  rock properties,  i.e.  porosity,  permeability,  and  oil  saturation,  of  each  grid  block obtained from a reservoir simulation model, to which a newly generated fitness function was applied, formulated by translating common engineering  practice in reservoir  simulation  into  a  mathematical  equation  and  then  into  a  computer program. The maximum fitness value indicates the best grid location for a new well. In order to validate the proposed GA method and evaluate the performance of the program, two fields with different production profile characteristics were used, fields X and Y. The proposed method proved to be a robust and accurate method to find the best new well locations for oil field development. The key to the success of the proposed  GA method lies in the formulation of the objective functions.
Study of Gas Resources Utilization of Tangguh, Masela, and Kasuri Blocks for East Indonesia Regional Development Tutuka Ariadji; Luky Yusgiantoro; D Susanto; D Sunarjanto; D Sismartono; W A Akbar; Wisnu P Taher; A Arsegianto
Indonesian Journal of Energy Vol 1 No 1 (2018): Indonesian Journal of Energy
Publisher : Purnomo Yusgiantoro Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33116/ije.v1i1.12

Abstract

This study is intended to evaluate, analyze and give recommendations for prudently utilizing gas production to maximize regional economic developments. A method to relate sectors and inter-regions, i.e., Inter-regional Input-Output (IRIO) Model, is employed to predict the impact of the upstream potential on the down stream. This techno-economic study examines the allocated gas from three gas field blocks altogether at Maluku and West Papua Provinces, i.e., Tangguh, Masela, and Kasuri, to supply the demands of (1) power plants; (2) fertilizer industries, and (3) petrochemicals industries. This study identifies development processes, investment parameters from pre-construction to operation, implementation parameters, and output parameters, both for the upstream and downstream sectors during 2016-2035. The IRIO model uses the 2010 IRIO Table published by BAPPENAS which consists of 35 sectors and 35 provinces. The shock data used to estimate the economic impacts include those data on infrastructure (CAPEX, OPEX, and supporting facilities), energy consumption (per kWh, per ton fertilizer, and per petrochemical product), workforce, and investments at a particular time. Six simulation modeling scenarios were developed to forecast the future performance of Gross Domestic Product (GDP)/Regional Gross Domestic Products (GRDP), Community Income, and Employment of 4 provinces in Eastern Indonesia. The results indicate that the regional economy could grow significantly by providing electricity first. Hence, the Petrochemical Industry gives more contribution than the Fertilizer Industry. The contribution (compared to BAU condition) increases sharply before taking a peak period and then declines in the year 2025. The best scenario results in a rise of the regional GDP at about 19 percent, wages at about 20 percent, and employment at about 55 percent. Maluku Province deserves the most economic improvement followed by West Papua Province. North Maluku and Papua provinces are not as well-off as those two provinces although there has been an indication of some employment in North Maluku Province. JEL Classification: E23
Aplikasi Persamaan Peng–Robinson Dalam Memperkirakan Korelasi Konstanta Kesetimbangan Sistem Gas Kondensat Alamta Singarimbun; Amiruddin Takda; Tutuka Ariadji
Indonesian Journal of Physics Vol 13 No 1 (2002): Vol. 13 No.1, Januari 2002
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (299.728 KB)

Abstract

The pressure of gas condensate reservoir will decrease at the production process. The reduction of pressure under dew point causes gases to condensate into two phase systems i.e. vapor-liquid and its composition. The prediction of phase equilibrium constant of vapor liquid and its compositions is obtained by applying Peng-Robinson equation. Especially for component of hepthane plus (C7+), a new correlation is proposed to determine equilibrium constant gas-liquid and its composition. The data used in this study was field data from several gas wells in Sumatera and Java. The results are an equilibrium constant and a composition as a function of pressure, temperature, specific gravity and molecule weight. The use of a new correlation to other components of gas condensate system (C1–C6 and CO2–N2), gives a good agreement with the standard data in a PVT chart.
Co-Authors A Arsegianto Alamta Singarimbun Amiruddin Takda D Sismartono D Sunarjanto D Susanto Edy Soewono Edy Soewono Kenny David Kenny David Kuntjoro Adji Sidarto Kuntjoro Adji Sidarto Lala Septem Riza Luky Yusgiantoro Pudjo Sukarno Pudjo Sukarno W A Akbar Wisnu P Taher