Fracture Performance Estimation Using Down-Hole Temperature and Stress
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Solution Overview
Problem
Conventional methods for estimating well production performance in fractured reservoir systems are inadequate, particularly for wells requiring stimulation techniques, as they rely solely on real-time pressure and struggle to assess individual fracture performance in real-time, which is essential for efficient hydrocarbon extraction from tight rock formations.
Innovation Solution
The method utilizes real-time down-hole temperature and stress information from advanced monitoring techniques, such as distributed temperature sensors and acoustic sensors, to identify poor fracture conductivity by sampling effective fracture lengths, calculating fracture conductivity, and updating well models, allowing for real-time evaluation of each fracture stage's performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional steady state techniques and well models are used for estimating well production performance, then the method is simple and widely accepted, but it cannot accurately assess individual fracture performance in real-time for stimulated wells
Solution Approach 1:
The patent divides the well into multiple fracture stages and further segments each fracture into discrete intervals. By monitoring temperature and pressure at multiple locations along individual fractures, the system can assess performance of each fracture segment separately, enabling precise identification of underperforming zones without requiring a completely complex system overhaul
Solution Approach 2:
The patent uses temperature as an intermediary parameter to indirectly measure fracture conductivity and production performance. Instead of directly measuring difficult-to-obtain parameters like fracture conductivity, the system monitors temperature changes caused by fluid flow and phase changes, which serve as proxies for fracture performance, simplifying the measurement approach while maintaining accuracy
2Reliability
If real-time pressure monitoring alone is used to test well models, then the approach is simple and broadly accepted, but it is insufficient for wells requiring stimulation techniques such as fracturing
Solution Approach 1:
The patent combines multiple monitoring parameters (temperature, pressure, and flow rate) into a unified well model calibration approach. By merging these different data streams and using them together to test and calibrate the well model, the system achieves more reliable predictions for stimulated wells while managing complexity through integrated analysis rather than separate evaluations
Solution Approach 2:
The patent implements a feedback mechanism where real-time temperature and pressure measurements from downhole sensors are continuously compared against model predictions. The discrepancies between measured and predicted values provide feedback that is used to update and refine the well model, improving its reliability for predicting future performance of fractured wells
3Productivity
If multiple hydraulic fracture stages are performed to economically produce tight rock formations, then hydrocarbon extraction becomes feasible, but real-time assessment of each fracture's performance becomes challenging
Solution Approach 1:
The patent adds the temperature dimension to the traditional pressure-only monitoring approach. By measuring temperature at multiple depths and locations along each fracture stage, the system creates a multi-dimensional data set that enables differentiation between individual fractures and their performance characteristics, preventing information loss in multi-stage fractured wells
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
This approach enables accurate, real-time estimation of well production performance, identifies poor fracture conductivity, and recommends necessary well stimulation, thereby optimizing hydrocarbon extraction from fractured reservoirs.
Implementation Method 1
utilizes real-time down-hole temperature and stress information from advanced monitoring techniques, such as distributed temperature sensors
Implementation Method 2
acoustic sensors, to identify poor fracture conductivity
Data Source
Figure 1A
Figure 1B
Figure 2
AI summary
Systems and methods for estimating well production performance in fractured reservoir systems using real-time down-hole temperature and stress information from advanced monitoring techniques.