Fracture Density Mapping for Low-Loss Well Placement
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Solution Overview
Problem
Predicting the location and extent of fractured zones in naturally fractured reservoirs is challenging due to their heterogeneous nature, leading to costly mud circulation losses during drilling operations.
Innovation Solution
A fracture density index (FDI) model is generated to correlate reservoir fracture density with circulation loss locations, using 3D and 2D fracture models, kernel density techniques, and circulation loss data to determine optimal well locations with low fracture density and distance from circulation losses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If drilling operations are conducted in naturally fractured reservoirs, then hydrocarbon extraction can proceed, but costly mud circulation losses occur due to heterogeneous fracture zones
Solution Approach 1:
The patent applies preliminary action by generating a fracture density index model before drilling operations to predict and avoid high-fracture-density zones. The model integrates seismic data, well log data, and circulation loss data to create a predictive framework that guides well placement and drilling paths, preventing mud losses before they occur.
Solution Approach 2:
The patent implements feedback by continuously integrating circulation loss data from existing wells into the fracture density index model. This feedback loop refines the model's accuracy, allowing it to better predict fracture zones and guide subsequent drilling operations to avoid similar losses.
2Loss of time
If traditional well placement methods are used without fracture modeling, then drilling operations can proceed quickly, but circulation losses occur in high-fracture-density zones
Solution Approach 1:
The fracture density index model is generated in advance of drilling operations, integrating multiple data sources (seismic, well logs, circulation loss records) to create a predictive map of fracture zones. This preliminary modeling allows drill paths to be planned to avoid high-risk areas, preventing circulation losses without delaying operations.
3Measurement precision
If comprehensive fracture modeling is performed to predict circulation losses, then drilling accuracy improves, but model complexity and data processing requirements increase
Solution Approach 1:
The fracture density index serves as an intermediary variable that simplifies the complex relationship between multiple data sources (seismic attributes, well log properties, circulation loss data) and fracture zone locations. Instead of directly modeling the complex interactions between all these parameters, the fracture density index consolidates them into a single predictive metric that is easier to interpret and apply.
Solution Approach 2:
The patent transforms multiple complex parameters (seismic attributes, well log data, circulation loss volumes) into a simplified fracture density index parameter. This parameter transformation reduces model complexity while maintaining predictive accuracy, making the model more practical for routine application in reservoir development.
Data Source
AI summary
Hydrocarbon reservoir development that includes determining, based on fracture data, a two-dimensional (2D) fracture model including fracture lines representing locations of fractures in the reservoir, determining, based on the lines, a fracture density index (FDI) map including FDI values for cells representing the reservoir, including, for each cell, determining a FDI value based on proximity to the fracture lines, determining a circulation loss (CL) map including CL values for the cells, including, for each cell, determining a CL value based on proximity of the cell to locations of circulation loss events in the hydrocarbon reservoir, determining, based on the FDI map and the CL map, a correlation of FDI to CL for the reservoir, and drilling a hydrocarbon well based on the correlation.