Fracture Optimization via Formation Logging Data
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Solution Overview
Problem
Current fracture operations in hydrocarbon formations face challenges in optimizing parameters such as geometry and schedule to maximize hydrocarbon production, as existing methods lack effective data-driven approaches to determine optimal settings for wellbore spacing, stage placement, proppant type, and pumping pressures.
Innovation Solution
A method involving logging formation parameters using sensors during drilling or wireline operations, followed by processing these data to determine correlations between formation characteristics and fracture treatment parameters, allowing for real-time adjustments to optimize fracture operations and increase hydrocarbon recovery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional fracture operations are performed without data-driven optimization, then operational simplicity is maintained, but hydrocarbon production is not maximized
Solution Approach 1:
The system performs preliminary data collection during drilling operations by logging formation parameters (brittleness, stress, porosity, permeability) before the fracture operation begins. This advance characterization allows optimization of fracture design parameters without adding complexity during the actual fracture operation.
Solution Approach 2:
The system creates a digital model of the formation based on logged parameters and uses this model to simulate and optimize fracture outcomes. This virtual representation allows multiple scenarios to be tested without physical trial-and-error, maximizing productivity while maintaining operational simplicity.
2Productivity
If extensive subsurface characterization is performed to optimize fracture parameters, then hydrocarbon production can be maximized, but operational time and cost increase
Solution Approach 1:
The logging system performs multiple functions simultaneously: it characterizes formation properties for fracture optimization, creates a digital model for simulation, and provides real-time data for parameter adjustment. This multi-functionality eliminates the need for separate characterization operations, reducing time loss while maximizing productivity.
Solution Approach 2:
The system uses continuous logging to capture formation parameters throughout the wellbore, providing spatially-resolved data that enables optimized fracture staging and geometry. This approach replaces extensive discrete characterization operations with a single continuous measurement process, reducing operational time while maintaining optimization quality.
3Productivity
If real-time data processing and parameter adjustment are implemented, then fracture operation optimization is improved, but system complexity increases
Solution Approach 1:
The system continuously monitors logged formation parameters and provides real-time feedback to adjust fracture operation parameters (pump rate, proppant concentration, stage placement). This closed-loop control optimizes fracture efficiency without requiring complex manual intervention, as the system automatically processes data and recommends adjustments.
Solution Approach 2:
A digital model serves as an intermediary between raw logging data and fracture operation decisions. The model translates complex formation characteristics into actionable recommendations for fracture parameters, simplifying the decision-making process while maintaining optimization quality and reducing direct system complexity.
4Manufacturing precision
If formation parameters are logged and analyzed to determine optimal fracture parameters, then manufacturing precision of fracture geometry is improved, but measurement and detection difficulty increases
Solution Approach 1:
The system replaces complex mechanical formation testing methods with logging measurements taken during standard drilling operations. This substitution obtains formation parameters (stress, brittleness, porosity, permeability) without requiring separate mechanical tests, reducing measurement difficulty while improving fracture geometry precision through better data quality.
Data Source
AI summary
A method for performing a fracture operation. A log of a formation parameter is obtained for a formation surrounding a wellbore in which the fracture operation is to be implemented. A relation is determined between the formation parameter and a parameter of the fracture operation. A value of the parameter of the fracture operation is selected based on the relation and a value of the formation parameter.


