Wireless In-Situ Reservoir Fluid Sampling System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods lack continuous monitoring of production rates and quality from different parts of a hydrocarbon well, hindering effective reservoir management and production optimization.
Innovation Solution
A wireless in-situ sampling method using carrying agents to obtain local samples of reservoir fluid from various zones, which are then analyzed for chemical fingerprints to determine production rates and fluid composition, enabling the creation of maps to track changes along and between wells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional sampling methods are used, then sampling can be performed, but continuous monitoring of production rates and quality from different parts of a well is not achieved
Solution Approach 1:
The well is divided into multiple zones, with sampling devices positioned at different depths to independently sample from each zone. Each sampling device captures local fluid characteristics, enabling zone-specific production monitoring and preventing information loss from different reservoir sections.
Solution Approach 2:
The sampling system operates continuously rather than through discrete manual operations. Sampling devices continuously collect fluid samples from multiple zones, providing ongoing monitoring of production rates and quality without interruption, thereby achieving continuous monitoring capability.
2Measurement precision
If multiple sampling devices are deployed in different zones, then zone-specific production monitoring is achieved, but system complexity increases
Solution Approach 1:
Unique tracers are introduced as intermediary substances in each zone to identify and track fluid origin. These tracers act as mediators that carry zone-specific information through the production stream, enabling precise zone characterization without requiring complex direct measurement systems in each zone.
Solution Approach 2:
Instead of deploying complex measurement devices in each zone, the system creates simplified copies or representations of zone characteristics through tracer addition. The tracers serve as informational copies that convey zone identity and fluid composition data to centralized analysis systems, reducing on-site device complexity.
3Productivity
If manual sampling methods are used, then sampling can be performed, but labor-intensive operations and time consumption increase
Solution Approach 1:
The sampling system operates autonomously without requiring manual intervention for sample collection. Sampling devices automatically collect fluids, tracers are automatically injected into zones, and samples are continuously transported to analysis facilities, enabling the system to serve itself and eliminate labor-intensive operations.
Solution Approach 2:
Manual mechanical sampling operations are replaced with automated fluid handling systems. The system uses fluid flow dynamics, pressure differentials, and automated injection mechanisms to perform sampling and tracer introduction, substituting human-operated mechanical processes with automated systems that reduce time consumption.
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 continuous monitoring and characterization of reservoir fluids, allowing for precise determination of production rates and fluid composition, facilitating improved reservoir management, production optimization, and allocation.
Implementation Method 1
obtaining a local sample may comprise at least one of mixing, absorbing or encapsulating the reservoir fluid in the carrying agent before the reservoir fluid enters a well stream
Implementation Method 2
The carrying agent may comprise a unique tracer enabling position determination of each local sample along the well
Data Source
Figure 1
Figure 2(A)~2(D)
Figure 3
AI summary
It is described a method and a system for wireless in-situ sampling of a reservoir fluid from a hydrocarbon reservoir comprising obtaining a number of local samples of the reservoir fluid from different zones of the reservoir at given times. Local characterization of production fluid is obtained based on identifying chemical fingerprints of each of the number of local samples. This information can be used to determine local production rates from different zones in the well or from coming led wells.