Optical Fluid Identification via Pseudo Sensor Calibration

The patent creates a virtual copy of the laboratory measurement system through computational models. Instead of physically matching samples and testing conditions, the system uses calculated pseudo optical sensor responses that replicate laboratory measurement outcomes. This allows downhole tool measurements to be calibrated against virtual laboratory references, eliminating the operational burden of sample matching while maintaining measurement precision.

The patent introduces computational models and algorithms as intermediaries between downhole tool measurements and laboratory standards. These models act as mediators that translate downhole optical sensor responses into calibrated fluid identification results without requiring direct physical comparison with laboratory samples. The intermediary processing layer reconciles differences in measurement conditions while preserving accuracy.

The patent replaces the mechanical process of sample collection, transportation, and physical laboratory analysis with computational modeling. Optical sensor data from downhole tools is processed through algorithms that simulate laboratory measurement outcomes, eliminating the need for physical sample handling. This substitution maintains fluid identification accuracy while removing time-consuming physical operations.

The patent performs preliminary computational calibration and model development before actual downhole measurements are needed. By pre-establishing the relationship between downhole optical responses and fluid properties through computational experiments, the system eliminates the need for time-consuming sample collection and laboratory analysis during field operations. The calibration is done in advance, enabling immediate fluid identification.

The patent creates a universal computational calibration framework that can be applied to multiple downhole optical tools and various fluid identification scenarios. The computational models serve multiple functions: they calibrate different sensor types, handle various fluid properties, and accommodate diverse testing conditions. This multi-functionality maintains reliability across different applications while reducing the need for separate calibration systems for each tool.

The patent uses computational copies of laboratory measurement systems to simplify the overall device architecture. Instead of requiring physical laboratory tools to be deployed alongside downhole tools, the system uses virtual models that replicate laboratory capabilities. This copying approach maintains calibration reliability while eliminating the complexity of coordinating multiple physical instruments and facilities.