Artificial intelligence has proven to be a very effective tool because it does not assume a priori physical relationships between rock properties and characteristics of geological environments. The predictions are made based on the intelligent recognition of nonlinear patterns.
In order to establish relevant physical links between the microstructural characteristics of rocks and elastic properties, Quantitative GeoSolutions employs advanced algorithms that simulate the characteristics of reservoirs.
These algorithms allow establishing relationships between the shape of the pores (in various types of rocks), the fracture density, the type of fluids, the mineralogical content and the respective impedance responses (acoustic, shear) and density. Rock physics models are built from the microstructural components of the rock (solid phase and fluid phase), following rigorous physical criteria and rules. As an example, the following figure presents a schematic of carbonate rock physics models.
Geomechanical analysis is also a fundamental tool when you want to define risk scenarios in the drilling of new wells. Quantitative GeoSolutions has experts in the evaluation of information on stresses, pore pressure and other essential data, which are efficiently integrated with quantitative geophysical analyses to fine-tune the best exploitation strategies minimizing the risks associated with geological and physical events.
Integration of results and prediction of reservoir properties.
1-8 weeks
Quantitative Geosolutions offers plausible and effective solutions to complex problems in geosciences, based on novel analysis and prediction techniques with deterministic, probabilistic, and artificial intelligence approaches, which allow revealing details in the microstructural characteristics that define the storage capacity and fluid content in rocks, at various study scales. Our results allow us to generate a measurable impact on the optimization of exploration and production plans of the deposits.
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