OPTIMIZING THE POSITION OF INJECTION WELLS ALONG WITH EVALUATING THE UNCERTAINTY

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DARABI HAMED; MASIHI MOHSEN

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Journal: Nashrieh Shimi va Mohandesi Shimi Iran Year:2011 | Volume:29 | Issue:4 (59) Page(s): 125-136

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Title

OPTIMIZING THE POSITION OF INJECTION WELLS ALONG WITH EVALUATING THE UNCERTAINTY

Author(s)

DARABI HAMED | MASIHI MOHSEN | Issue Writer Certificate

Keywords

WELL PLACEMENTQ3

OPTIMIZATIONQ2

GENETIC ALGORITHMQ2

POLYTOPE METHODQ3

ARTIFICIAL NEURAL NETWORKQ1

DECISIONQ3

FUZZY INFERENCE SYSTEMQ3

UNCERTAINTY ASSESSMENTQ3

Abstract

Decision on the location of new wells through infill drilling projects is a complex problem that depends on the reservoir rock and fluid properties, well and surface facilities specifications, and economic measures. Various methods to deal with this have been suggested.Direct OPTIMIZATION methods which use the numerical flow simulation are exact. However, these are not practical as they are computationally very extensive. In this study we use a Hybrid GENETIC ALGORITHM OPTIMIZATION technique (HGA) based on the GENETIC ALGORITHM (GA) with helper functions based on the polytope algorithm and the neural network. This hybridization introduces hill-climbing into the stochastic search and makes use of proxies created and calibrated iteratively throughout the run.It is emphasized that the numerical models are constructed based on scarce data, hence the simulation forecasts are uncertain and consequently the deterministic global solution is not achievable.To resolve this we use FUZZY INFERENCE SYSTEM (FIS). The output of such system evaluates the selected point given the conditions. For economic evaluation we use Net Present Value (NPV). Therefore, the FIS output is incorporated into the NPV, and a new objective function called Corrected NPV (CNPV) is constructed. We validate the method by optimizing the placement of water injection wells in a section of an oil reservoir located in the west of Iran by maximizing the CNPV. The suggested algorithm was used to find the points for drilling water injection in a reservoir located in the south of Iran. It was observed that the number of simulations required to find the optimal well configurations were reduced significantly by using HGA. Moreover, the positions and the injection rates for four injection wells has been suggested.

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APA: Copy

DARABI, HAMED, & MASIHI, MOHSEN. (2011). OPTIMIZING THE POSITION OF INJECTION WELLS ALONG WITH EVALUATING THE UNCERTAINTY. NASHRIEH SHIMI VA MOHANDESI SHIMI IRAN (PERSIAN), 29(4 (59)), 125-136. SID. https://sid.ir/paper/26054/en

Vancouver: Copy

DARABI HAMED, MASIHI MOHSEN. OPTIMIZING THE POSITION OF INJECTION WELLS ALONG WITH EVALUATING THE UNCERTAINTY. NASHRIEH SHIMI VA MOHANDESI SHIMI IRAN (PERSIAN)[Internet]. 2011;29(4 (59)):125-136. Available from: https://sid.ir/paper/26054/en

IEEE: Copy

HAMED DARABI, and MOHSEN MASIHI, “OPTIMIZING THE POSITION OF INJECTION WELLS ALONG WITH EVALUATING THE UNCERTAINTY,” NASHRIEH SHIMI VA MOHANDESI SHIMI IRAN (PERSIAN), vol. 29, no. 4 (59), pp. 125–136, 2011, [Online]. Available: https://sid.ir/paper/26054/en

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