Hydraulic Fracturing Prediction System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current hydraulic fracturing techniques face challenges in predicting subterranean formation fracture, reservoir, and production characteristics, leading to potential damage, inadequate fracture induction, and inefficient hydrocarbon production due to uncontrolled or insufficient fractures, and improper proppant placement.
Innovation Solution
A system comprising a proppant slurry density meter, flow meter, pressure sensor, and a programmable processing system that analyzes real-time data to curve-fit pressure and slurry rate, estimating proppant injection and predicting fracture characteristics, potentially using a cloud-based system to optimize fracturing operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If hydraulic fracturing is performed with high pressure fluid and proppant material to induce fractures, then hydrocarbon production is improved, but uncontrolled fractures can damage formations and link separate formations in undesirable ways
Solution Approach 1:
The system performs preliminary analysis of formation characteristics and fracture propagation patterns before completing the fracturing operation. By using real-time data from density meters, flow meters, and pressure sensors, the system predicts fracture behavior and adjusts proppant injection parameters in advance to prevent formation damage and unwanted fracture linking.
Solution Approach 2:
The system continuously monitors fracturing parameters including slurry density, flow rate, and pressure, and uses this feedback to adjust injection rates and proppant placement in real-time. This closed-loop control prevents uncontrolled fracture propagation and formation damage while maintaining optimal production conditions.
2Productivity
If insufficient numbers, types, and/or lengths of fractures are induced, then fracture control is maintained, but available hydrocarbon production is restricted
Solution Approach 1:
The system uses historical data and formation characteristics to predict the optimal number, type, and length of fractures needed before beginning the fracturing operation. This preliminary planning ensures sufficient fracture induction while maintaining control over fracture geometry and distribution.
Solution Approach 2:
The system dynamically adjusts fracturing parameters including injection rate, pressure, and proppant concentration during the operation based on real-time monitoring data. This dynamic control allows the system to induce sufficient fractures of appropriate types and lengths while preventing formation damage and maintaining fracture propagation within desired zones.
3Productivity
If proppant is placed in the fractures, then fractures are propped open to provide production channels, but improper proppant placement can negatively affect the well's production
Solution Approach 1:
The system determines optimal proppant placement locations and injection rates before beginning proppant injection. By analyzing real-time pressure and flow data, the system predicts where fractures will propagate and positions proppant accordingly to ensure accurate placement within the desired fracture zones.
Solution Approach 2:
The system dynamically adjusts proppant injection parameters including concentration, rate, and timing based on real-time monitoring of pressure, flow rate, and slurry density. This dynamic control ensures precise proppant placement in the correct locations while maintaining optimal fracture propping throughout the operation.
4Measurement precision
If real-time data analysis and prediction systems are implemented, then fracture and production characteristics are accurately predicted, but system complexity increases
Solution Approach 1:
The system uses a multi-functional integrated platform that combines data acquisition from multiple sensors, real-time data processing, fracture prediction modeling, and control functions in a single system. This universal approach achieves high prediction accuracy while managing system complexity through consolidation of multiple functions into one cohesive platform.
Data Source
AI summary
Systems and methods for predicting subterranean formation fracture, reservoir, and/or production characteristics from real time hydraulic fracturing data, historical hydraulic fracturing data or a combination of real time and historical hydraulic fracturing data.