Crossflow Detection in Matrix Injection via Temperature Inversion
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Solution Overview
Problem
Current methods for monitoring fluid distribution in hydrocarbon-bearing reservoirs during stimulation treatments fail to detect and quantify crossflow effects accurately, particularly at high injection rates, leading to inadequate fluid placement and partial stimulation of zones.
Innovation Solution
A computer-based system utilizing a near wellbore reservoir simulation model with a low rate injection stage to detect crossflow effects by comparing measured and simulated wellbore temperature profiles, allowing for real-time adjustment of fluid distribution profiles to account for crossflow during multistage injection treatments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If high injection rate is used during stimulation treatment, then treatment productivity is improved, but crossflow effects become undetectable through temperature measurements
Solution Approach 1:
A low-rate injection stage is performed before the main high-rate stimulation treatment to establish a baseline temperature profile. This preliminary action allows temperature sensors to detect crossflow effects when they are most visible, creating reference data that can be used to interpret temperature measurements during the subsequent high-rate treatment where crossflow would otherwise be masked by the dominant injection fluid temperature.
Solution Approach 2:
The treatment is divided into distinct periodic stages: an initial low-rate injection stage for detection, followed by the main high-rate treatment stage. This periodic alternation between low-rate detection phases and high-rate treatment phases enables continuous monitoring of crossflow effects throughout the treatment process, allowing adjustments to be made during subsequent cycles.
2Loss of time
If conventional temperature monitoring is used during high-rate injection, then real-time monitoring capability is maintained, but crossflow detection capability is lost
Solution Approach 1:
Temperature profiles are recorded during a preliminary low-rate injection stage to capture crossflow effects before they are masked during high-rate injection. This preliminary measurement establishes a reference state that enables retroactive analysis of crossflow effects during the main treatment, maintaining real-time monitoring capability while preserving crossflow detection ability.
Solution Approach 2:
The system continuously compares actual temperature measurements against simulated temperature profiles that account for crossflow effects. This feedback mechanism allows the system to detect and quantify crossflow in real-time by identifying deviations between measured and expected temperature profiles, even during high-rate injection when crossflow signals are weak.
3Ease of operation
If fluid distribution is not adjusted for crossflow effects, then injection process simplicity is maintained, but fluid placement accuracy deteriorates
Solution Approach 1:
The system uses temperature measurements and simulation models to provide feedback on actual fluid distribution and crossflow effects. This feedback enables real-time adjustment of injection parameters to compensate for crossflow, improving fluid placement accuracy without requiring complex manual intervention or abandonment of the injection process.
Solution Approach 2:
The system dynamically adjusts injection parameters such as injection rate and fluid composition based on detected crossflow effects. By changing these parameters in response to real-time conditions, the system maintains simple automated operation while achieving precise fluid placement despite the presence of crossflow in heterogeneous reservoir formations.
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 accurate quantification of crossflow effects and improved fluid distribution, optimizing stimulation treatments and enhancing hydrocarbon production by accounting for crossflow in real-time, even during high-rate injection stages.
Implementation Method 1
A computer-based system utilizing a near wellbore reservoir simulation model with a low rate injection stage to detect crossflow effects by comparing measured and simulated wellbore temperature profiles
Data Source
AI summary
Methods and systems for detection of crossflow and quantification of crossflow effects on fluid distribution during multistage injection treatments of hydrocarbon bearing reservoir formations. A low rate injection stage is applied after a main (high rate) fluid injection stage of a multistage injection treatment process. Wellbore temperature measurements can be utilized along with an inversion process to detect any crossflow and quantify its effects on fluid distribution during the main injection stage. After the effects of any detected crossflow on the fluid distribution are quantified, the effectiveness of the multistage injection treatment can be analyzed and any adjustments or modifications to the treatment can be made accordingly.