Green Fields are characterized by many static and dynamic uncertainties that mainly impact the decision-making of the full field development phase. The objective of this work is to provide a workflow that considers all the complexities related to all uncertainties, static and dynamic, associated with tight green fields and how these uncertainties are parameterized with the integration of well hydraulic fractures.

Uncertainty and optimization workflow has been adopted in a commercial geo-modeler to consider all the associated uncertainties. Structural uncertainty is parameterized using an in-house plug-in inside the geo-modeler tooldeveloped to apply the structural deformation using the concept of elastic gridding. Hydraulic Fractures are modeled using Local Grid Refinements (LGR) created by a plug-in inside the geo-modeler. A sensitivity analysis has been performed to consider the static uncertainty parameters that impact Hydrocarbon volume in place and dynamic uncertainty parameters that impact cumulative hydrocarbon production, including the LGR (extension and permeability).

Statistical maps on 100 different geological realizations calculated on mobile hydrocarbon column and permeability thickness showed the optimum locations of the infilling wells to consider the spatial and vertical variability. A representative case (P50) on volumes in place is chosen to define the suited development strategy for the full field development phase. Due to the complexity of the field, a creaming curve approach has been adopted for each level to consider the optimum number of drainage points needed. A final completion scheme with an optimum number of wells and their hydraulic fracture stages is defined.

Sensitivity Analysis showed that LGR parameters have a considerable impact on the cumulative hydrocarbon production, and to overcome the limitation of the LGR plug-in, which does not allow to change the completion for every realization, a dedicated study has been performed to define the optimum extension of perforations needed to consider the structural and petrophysical changes over realizations.

Three representative cases (P10 – P50 – P90) on the cumulative hydrocarbon production were selected to represent an uncertainty range of the field volumes and production in the next step of integrated asset modeling.

An automatic strategy and related implementation have been developed for wells with LGR simulation to adapt well completions in the context of hydraulic fracturing and uncertainty quantification.

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