Stress Shadow Effect Generation Using Well Completion Data
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Solution Overview
Problem
Previous approaches to examine the stress shadow effect in subsurface volumes rely on complex geomechanical simulation modeling, which requires difficult and costly measurements, such as dense geomechanical moduli and rock strength observations from wellbore logging and core analysis.
Innovation Solution
A computer-implemented method and system that generates stress shadow effects by obtaining hydraulic fracturing stage data and wellbore distances, using regression analysis to derive stress shadow effect slope coefficients, and interpolating to create spatially continuous data for visualization, allowing for the estimation of stress shadow effects without the need for costly measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex geomechanical simulation modeling is used to examine stress shadow effect, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent creates a simplified computational model that copies the essential behavior of complex geomechanical simulations. Instead of running full geomechanical models, the system uses machine learning algorithms trained on completion data to generate stress shadow effect representations, producing comparable results with significantly reduced complexity and cost
Solution Approach 2:
The patent replaces expensive, difficult-to-obtain geomechanical measurements with readily available well completion data. The system uses hydraulic fracturing stage data and pressure decline measurements that are already captured during normal operations, eliminating the need for costly additional measurements while maintaining adequate accuracy for stress shadow analysis
2Measurement precision
If dense geomechanical moduli and rock strength observations are obtained, then measurement precision is improved, but loss of time and cost increase
Solution Approach 1:
The patent performs stress shadow effect analysis using completion data that is already available from well construction activities. By utilizing hydraulic fracturing stage data and pressure decline measurements captured during normal operations, the system eliminates the need for time-consuming wellbore logging and core analysis that would otherwise be required to obtain geomechanical properties
Solution Approach 2:
The system uses data that is already collected during well completion operations to simultaneously determine stress shadow effects. The well completion process itself generates the necessary data (pressure decline after injection, hydraulic fracturing stage data), which the system then processes to provide stress shadow representations without requiring additional measurement campaigns
Data Source
AI summary
Systems and methods are disclosed for generating a stress shadow effect as a function of position in a subsurface volume of interest. A computer-implemented method may obtain completion data in the subsurface volume of interest; generate relationships between the hydraulic fracturing stage data and the corresponding wellbore distances; and generate spatially discrete stress shadow effect data by spatially attributing the stress shadow effect slope coefficient to locations of the individual wells.