Fracture Network Model for Proppant Placement Simulation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Determining the optimal size and combination of proppants for hydraulic fracturing is challenging due to complex fracture networks, as existing computer models are time-consuming and often inaccurate in predicting proppant placement.
Innovation Solution
A method involving a fracture network model with a solid medium and a proppant slurry composition is used, where the proppant is flowed into the model's channel network, and its placement pattern is detected, allowing for optimization of proppant size distribution and flow rate to enhance placement and conductivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If computer models are used to estimate proppant placement patterns, then prediction capability is provided, but the models are time-consuming to set up and run and do not always give accurate predictions
Solution Approach 1:
The patent creates a physical fracture network model that replicates the complex geometry of actual fracture networks. This physical model serves as a simplified copy that can be used to study proppant placement patterns without the computational burden of detailed computer simulations, providing both accuracy and speed.
Solution Approach 2:
The patent varies key parameters such as proppant size distribution, slurry flow rate, and fracture network geometry in the physical model to optimize proppant placement. By changing these parameters systematically in the physical model, the invention achieves accurate predictions more quickly than traditional computer models.
2Manufacturing precision
If complex fracture networks are modeled with detailed computer simulations, then accurate placement patterns can be predicted, but the modeling process becomes time-consuming
Solution Approach 1:
The physical fracture network model creates a tangible replica of complex fracture geometries that can be used to study proppant transport and placement. This physical copy allows for rapid experimentation and optimization of proppant placement patterns without the computational time required for detailed numerical simulations.
Solution Approach 2:
The patent replaces complex computational mechanical systems with a simpler physical model system. Instead of running time-intensive computer simulations, the invention uses a physical model where proppant-laden slurry can be pumped through fracture network replicas, allowing direct observation and measurement of placement patterns.
3Reliability
If proppant placement is optimized for complex fracture networks, then fracture conductivity and production are enhanced, but determining optimal proppant size and combination becomes difficult
Solution Approach 1:
The patent applies different proppant sizes and combinations to different regions of the fracture network model. By studying how proppant distributes locally within the physical model, the invention identifies optimal local proppant characteristics for different fracture zones, simplifying the overall selection process while maintaining high fracture conductivity.
Solution Approach 2:
The system systematically varies proppant size distribution and slurry flow rate parameters in the physical model to determine optimal combinations. By changing these parameters in controlled experiments, the invention identifies the best proppant characteristics for enhancing fracture conductivity without requiring complex theoretical analysis.
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
This method provides faster and more accurate proppant placement simulations, optimizing the ratio of larger to smaller proppants, reducing costs, and increasing fracture conductivity, thereby enhancing production efficiency.
Implementation Method 1
The proppant can be any size typically used in hydraulic fracturing procedures. In one embodiment, the proppant is microproppant having an average particle size of less than about 100 microns.
Implementation Method 2
detecting a placement pattern of the proppant from the proppant slurry composition in the channel network
Data Source
AI summary
Various embodiments disclosed relate to a fracture network model for simulating treatment of subterranean formations. In various embodiments, the present invention provides a method of simulating treatment of a subterranean formation. The method includes flowing a proppant slurry composition including proppant into each of one or more inlets of a fracture network model. The fracture network model includes a solid medium including a channel network, the one or more inlets, and one or more outlets. The channel network is free of fluidic connections leading outside of the solid medium other than the one or more inlets and the one or more outlets. The channel network includes a primary channel fluidly connected to each of the one or more inlets. The channel network also includes at least one secondary channel and fluidly connected to the primary channel, with the primary channel having a channel cross-section with a greater area than an area of a channel cross-section of the secondary channel. The method also includes detecting a placement pattern of the proppant from the proppant slurry composition in the channel network.


