مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

1,011
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

OPTIMAL WELL PLACEMENT USING STREAMLINE BASED MODEL

Pages

  45-58

Abstract

 One of the key issues must be considered in management of reservoirs is OPTIMAL WELL PLACEMENT. OPTIMAL WELL PLACEMENT is defined as a mathematical problem which maximizes an objective function such as net present value (NPV) by adjusting the well locations in an optimum place while the physical and economic constraints are considered at the same time. Modeling and simulation of reservoir is an important step in the well placement problem. The more the reservoir model is closer to the real one, the more precise the optimum well locations can be found. In most of prior suggested methods, the reservoir is modeled in Cartesian coordinate that makes the model complicated. In the present paper, a simpler reservoir model based on streamline technique is presented. Then, with the aid of the natural movement of flow in the streamline based reservoir model, we are trying to reach an effective and facile approach to solve OPTIMAL WELL PLACEMENT problem. First, the unique and valuable information from streamlined based model is introduced. Then, this information is added to the well-known genetic optimization algorithm. With the aid of this combination, the stochastic search strategy of GENETIC ALGORITHM is changed to a semi-stochastic search or based on knowledge. It is shown that the number of reservoir simulation runs is decreased and the convergence of the proposed hybrid genetic is faster than the simple genetic.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    KHADEMI, GHOLAMREZA, & KARIM AGHAEI, PAKNOUSH. (2016). OPTIMAL WELL PLACEMENT USING STREAMLINE BASED MODEL. PETROLEUM RESEARCH, 26(86), 45-58. SID. https://sid.ir/paper/115168/en

    Vancouver: Copy

    KHADEMI GHOLAMREZA, KARIM AGHAEI PAKNOUSH. OPTIMAL WELL PLACEMENT USING STREAMLINE BASED MODEL. PETROLEUM RESEARCH[Internet]. 2016;26(86):45-58. Available from: https://sid.ir/paper/115168/en

    IEEE: Copy

    GHOLAMREZA KHADEMI, and PAKNOUSH KARIM AGHAEI, “OPTIMAL WELL PLACEMENT USING STREAMLINE BASED MODEL,” PETROLEUM RESEARCH, vol. 26, no. 86, pp. 45–58, 2016, [Online]. Available: https://sid.ir/paper/115168/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button