This study suggests a robust multiple realization approach to determine optimum production stimulation strategy. Unlike the majority of existing similar studies, the suggested approach concentrates both on geological uncertainties and improving of hydraulic fracturing modeling. Existing similar studies either concentrate on the reservoir uncertainties (i.e., ignoring the importance of hydraulic fracturing simulation and calibration), or vice versa, concentrate on the sensitivity of the hydraulic fracturing parameters (i.e., ignoring the wide range of geological uncertainties).

The key feature of the suggested approach is the use of a single platform for static geological model, hydraulic fracturing simulator, and hydrodynamic modeling.

The study shows the example of suggested approach implementation on one of the complex oilfields in Western Kazakhstan, where approach helped to determine the probability of stimulation success and allowed to determine the optimum stimulation strategy.

Keywords:
reservoir characterization, intervención de pozos petroleros, geological modeling, geologic modeling, artificial intelligence, well intervention, production enhancement, condensate reservoir, complex reservoir, drillstem/well testing
Subjects:
Hydraulic Fracturing, Reservoir Characterization, Reservoir Simulation, Formation Evaluation & Management, Unconventional and Complex Reservoirs, Geologic modeling, Drillstem/well testing, Naturally-fractured reservoirs, Well Intervention, Gas-condensate reservoirs
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