Downhole Sampling Inlet Probe Selection by Fluid Detection Time
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Solution Overview
Problem
Downhole formation sampling during oil and gas exploration is a risky and costly dynamic operation due to variations in the performance of downhole sampling tools and inlet probes used by different service providers, leading to inconsistent and inefficient sampling results.
Innovation Solution
A computer-assisted method for managing downhole sampling tools that involves accessing a database of tool performance records, identifying parameters such as the time to detect reservoir fluid, and selecting the most efficient tool for upcoming jobs based on objective performance metrics, including formation type and mobility, to optimize inlet probe selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If downhole sampling tools from different service providers are used, then service provider options increase, but performance consistency deteriorates
Solution Approach 1:
The patent changes the parameter of inlet probe design by specifying particular configurations (such as probe length, diameter, and positioning relative to the formation) to standardize performance across different service providers. This ensures that regardless of which service provider is used, the sampling tool maintains consistent performance characteristics through controlled design parameters.
Solution Approach 2:
The patent segments the downhole sampling system into distinct functional components with standardized interfaces and performance requirements. By dividing the system into modular elements (inlet probe, housing, sealing mechanisms) with defined specifications, it enables consistent performance across different service providers while maintaining overall system reliability.
2Reliability
If traditional downhole sampling operations are performed, then sampling capability is maintained, but risk and cost increase
Solution Approach 1:
The patent applies preliminary action by pre-configuring the inlet probe with optimized design parameters and pre-establishing performance specifications before deployment. This preliminary preparation ensures that the sampling operation proceeds smoothly with reduced risk of failure and lower costs by avoiding corrective actions during the actual sampling process.
Solution Approach 2:
The patent incorporates feedback mechanisms that monitor sampling performance in real-time and provide data on inlet probe effectiveness. This feedback allows for continuous optimization of sampling operations, reducing risk by identifying potential issues early and lowering costs through data-driven decision making for future operations.
3Productivity
If inlet probe detection time is reduced, then sampling efficiency improves, but detection accuracy may worsen
Solution Approach 1:
The patent optimizes the inlet probe parameters (such as probe diameter, length, and positioning) to achieve the optimal balance between detection time and detection accuracy. By carefully selecting and adjusting these parameters, the system maintains high sampling efficiency while ensuring accurate fluid detection through properly configured probe geometry and positioning.
Data Source
AI summary
The present disclosure provides method for managing a set of downhole sampling tools each comprising a respective inlet probe, the method comprising: accessing a database hosting records of operating the set of downhole sampling tools when sampling reservoir formations; identifying a parameter that characterizes a duration from a first time point when one of the set of downhole sampling tool is activated to a second time point when the respective inlet probe on the downhole sampling tool detects a reservoir fluid from the reservoir formations; measuring, using the identified parameter, performances of the set of downhole sampling tools; and at least based on the measured performances, selecting, from the set of downhole sampling tools, a particular downhole sampling tool such that the particular downhole sampling tool is deployed for at least one upcoming downhole sampling job.