EOS Model Tuning for Downhole Fluid Contamination Analysis
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Solution Overview
Problem
Accurate determination of fluid properties in downhole fluid sampling is hindered by contamination from drilling fluids, particularly oil-based mud, which interferes with the measurement of API gravity due to similar fluid densities.
Innovation Solution
A system combining drilling and downhole fluid analysis with a computer-based modeling system that tunes an equation-of-state (EOS) model to differentiate between oil-base filtrates and formation fluid hydrocarbons, using models like Peng-Robinson EOS to determine thermodynamic properties and behavior of reservoir fluids with contamination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If drilling fluid is used during the drilling process, then the wellbore can be effectively drilled and stabilized, but the fluid samples collected become contaminated with drilling fluid, interfering with accurate determination of reservoir fluid properties
Solution Approach 1:
The patent segments the fluid sampling process into distinct phases: initial contaminated samples followed by cleaner samples after pump-out. It also segments the analysis by creating separate pump-out curves for different fluid properties (density, GOR, resistivity) to independently characterize and correct for contamination effects in each property measurement.
Solution Approach 2:
The patent applies preliminary action by collecting and analyzing pump-out curve data during the early contaminated phase to establish baseline contamination characteristics. This preliminary information is then used to correct measurements taken during subsequent cleaner sampling phases, allowing accurate determination of reservoir fluid properties despite initial contamination.
2Measurement precision
If oil-based drilling fluid is used, then the drilling process can proceed effectively, but the similar fluid densities of drilling fluid and reservoir fluid interfere with accurate API gravity determination
Solution Approach 1:
The patent introduces pump-out curves as an intermediary tool that mediates between the contaminated sample measurements and the true reservoir fluid properties. By creating reference curves showing how fluid properties change during the pump-out process, the system can interpolate and correct API gravity measurements to account for drilling fluid contamination effects.
Solution Approach 2:
The patent monitors and utilizes changes in multiple fluid parameters (density, gas-to-oil ratio, resistivity) simultaneously during the pump-out process. By tracking how these parameters evolve and diverge at different contamination levels, the system can identify the transition from contaminated to clean samples and correct API gravity measurements based on the observed parameter trajectories.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables precise and efficient real-time determination of fluid composition and contamination levels, improving the accuracy of hydrocarbon composition analysis and reducing the impact of drilling fluid contaminants on measurement results.
Implementation Method 1
tunes an equation-of-state (EOS) model to differentiate between oil-base filtrates and formation fluid hydrocarbons, using models like Peng-Robinson EOS to determine thermodynamic properties and behavior of reservoir fluids with contamination
Data Source
AI summary
Systems, devices, and techniques for determining downhole fluid contamination are disclosed. In one or more embodiments, phase-related properties are measured for a reservoir fluid having a determined composition. An equation-of-state (EOS) is selected and/or tuned based, at least in part, on the measured phase-related properties and the tuned EOS is applied to estimate fluid property values for a reference fluid over specified ranges of at least two thermodynamic properties. Contaminant reference data are generated that correlate the estimated fluid property values for the reference fluid with respective contaminant levels. Within a wellbore, a fluid sample is analyzed to determine a fluid property value. A contaminant level is identified that corresponds within the contaminant reference data to the determined fluid property value of the fluid sample.


