Placing infill wells in reservoir’s sweet spots and choosing appropriate wells configurations are challenging optimization problems. This work presents an efficient well placement and design optimization approach for full-field scale capitalizing on computational mathematical modeling to maximize wells contact with high-productive hydrocarbon zones. The approach uses mixed integer programming to solve the optimization problem using high-performance optimization solver. Results show that the approach can efficiently place a number of wells optimally in a simulation model in reasonable time and without violating any of the imposed geometrical and intersection constraints. The computational run-time of the optimization solver was used to evaluate the performance between different cases using different constraints and hardware specifications. The approach demonstrated in this work complements sweet spots identification capabilities to maximize ultimate hydrocarbon recovery, maintain and extend plateau, and prolong the fields’ lifetime.


Article metrics loading...

Loading full text...

Full text loading...


  1. Al-Ismael, M., Awotunde, A., Al-Yousef, H., & Al-Hashim, H.
    [2018] A Well Placement Optimization Constrained to Regional Pressure Balance. Society of Petroleum Engineers. doi:10.2118/190788‑MS
    https://doi.org/10.2118/190788-MS [Google Scholar]
  2. AlQahtani, G., AlzahabiA., KozyreffE., FariasI. and SolimanM.
    [2013] A Comparison between Evolutionary Metaheuristics and Mathematical Optimization to Solve the Wells Placement Problem. Advances in Chemical Engineering and Science, Vol. 3 No. 4A, 2013, pp. 30–36. doi: 10.4236/aces.2013.34A1005
    https://doi.org/10.4236/aces.2013.34A1005 [Google Scholar]
  3. AlQahtani, G., Alzahabi, A., Spinner, T. and Soliman, M.
    [2014] A Computational Comparison between Optimization Techniques for Wells Placement Problem: Mathematical Formulations, Genetic Algorithms and Very Fast Simulated Annealing. Journal of Materials Science and Chemical Engineering, 2, 59–73. doi: 10.4236/msce.2014.210009
    https://doi.org/10.4236/msce.2014.210009 [Google Scholar]
  4. Faqehy, M., Katamish, H., Al-Towijri, A., & Al-Ismael, M.
    [2017] Reservoir Fluids Saturation Diagnostic and Hydrocarbon Targets Identification Workflow. Society of Petroleum Engineers. doi:10.2118/183925‑MS
    https://doi.org/10.2118/183925-MS [Google Scholar]
  5. Titchkosky, K., & Thompson, R.
    [2008] Picking the Sweet Spot Using Rock Physics. Society of Exploration Geophysicists
    [Google Scholar]

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error