Y-Grade NGL Foam Optimization for Reservoir Stimulation
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Solution Overview
Problem
Unconventional resource plays face challenges in hydrocarbon production due to low permeability and uneconomical production rates, with conventional methods leaving up to 97% of hydrocarbons in place, necessitating new enhanced oil recovery techniques.
Innovation Solution
The method involves gathering geostatic and reservoir fluid data to determine an equation of state, generating hydrocarbon foams or emulsions through customized surfactant mixtures with Y-Grade NGL and gases/water, adjusting foam/emulsion stability and rheology, and simulating reservoir stimulation using 3-D models to optimize fluid recovery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional gas or water injection methods are used for reservoir stimulation, then the production process is simple and easy to implement, but the hydrocarbon recovery rate is very low (only 3% of original-oil-in-place)
Solution Approach 1:
The patent uses composite stimulation fluids combining Y-Grade NGL (50-95% by volume), surfactants (0.5-10% by volume), and optional additives to create a multi-component system that leverages the solvating power of NGL, the interfacial activity of surfactants, and the functional properties of additives to achieve superior hydrocarbon recovery compared to conventional single-component injection methods
Solution Approach 2:
The patent optimizes multiple parameters including NGL composition (C2-C6 hydrocarbon ratios), surfactant concentration and type, injection pressure and temperature conditions, and fluid formulation ratios to maximize recovery efficiency. The systematic variation of these parameters through simulation and experimentation enables achievement of 60-90% recovery rates
2Productivity
If Y-Grade NGL stimulation fluids are formulated and simulated through comprehensive 3-D reservoir modeling, then the fluid recovery optimization is maximized, but the time and computational resources required for formulation and simulation are significantly increased
Solution Approach 1:
The patent performs preliminary laboratory experiments to characterize Y-Grade NGL properties, surfactant compatibility, and foam/emulsion behavior before conducting full-scale 3-D reservoir simulations. This preliminary characterization data is used to pre-constrain simulation parameters and reduce the computational search space, significantly reducing overall development time while maintaining optimization accuracy
Solution Approach 2:
The patent creates simplified 1-D and 2-D simulation models as intermediate steps before full 3-D modeling. These reduced-complexity models serve as computational proxies to screen multiple fluid formulations quickly, identifying promising candidates for detailed 3-D simulation, thereby reducing total computational time and resource requirements
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 approach enables the determination of optimal hydrocarbon foam or emulsion compositions for maximizing fluid recovery in unconventional reservoirs, potentially increasing production rates and reducing residual hydrocarbons.
Implementation Method 1
customizing a surfactant to be mixed with the Y-Grade NGL and the gas to form the hydrocarbon foam
Implementation Method 2
customizing a surfactant to be mixed with the Y-Grade NGL, the gas, and the water to form the emulsion based foam
Data Source
AI summary
Systems and methods of optimizing stimulation fluids in the form of a hydrocarbon foam, an emulsion based foam, an emulsion, and a gelled stimulation fluid, each comprising Y-Grade NGL, which is an unfractionated hydrocarbon mixture that comprises ethane, propane, butane, isobutane, and pentane plus, wherein the unfractionated hydrocarbon mixture is a byproduct of a condensed and demethanized hydrocarbon stream.