Integrated Reservoir Characterization based Workflow for Hydraulic Fracture Simulation

This paper outlines a novel, integrated workflow to enhance the quality of input data for hydraulic fracture simulations. The methodology employs cross-disciplinary collaboration—merging petrophysics, rock physics, geomechanics, and reservoir engineering—to build static models that accurately represent in-situ reservoir conditions. The process begins with advanced well-log conditioning to derive dependable petrophysical properties, followed by the generation and rigorous quality control of elastic rock parameters essential for geomechanical modeling.

These refined datasets serve as the backbone for constructing geomechanical models compatible with leading fracture simulation software. A structured, iterative calibration process aligns model predictions with calibration data thereby constraining uncertainties and non-uniqueness. The workflow also computes additional parameters necessary for fracture simulation ensuring a comprehensive and internally consistent input set.

By formalizing this integration and quality control framework, the paper delivers a practical, repeatable approach to generate input data for fracture simulations. It empowers technical professionals to create more reliable models. Even the most advanced simulators require well-constructed, high-fidelity input data to yield meaningful and accurate results.