Designing cyclic pressure pulsing in naturally fractured reservoirs using an inverse looking recurrent neural network

Keyphrases

• Proxy Model 100%
• Recurrent Neural Network 100%
• Naturally Fractured Reservoirs 100%
• Cyclic Pressure Pulsing 100%
• Design Scenarios 66%
• Performance Characteristics 33%
• Neural Network 33%
• Predictive Ability 33%
• Kentucky 33%
• Recovery Method 33%
• Enhanced Oil Recovery 33%
• Injection Rate 33%
• Flow Simulation 33%
• Design Parameters 33%
• Dual Porosity 33%
• CO2 Injection 33%
• Performance Indicators 33%
• Reservoir Simulation 33%
• Desired Performance 33%
• Simulation Outputs 33%
• Time-dependent Behavior 33%
• Naturally Fractured 33%
• Production Period 33%
• Huff-n-puff 33%
• Model Characteristics 33%
• Numerical Flow Simulation 33%
• Soaking Period 33%

Engineering

• Naturally Fractured Reservoir 100%
• Recurrent Neural Network 100%
• Simulation Model 66%
• Design Parameter 33%
• Performance Characteristic 33%
• Dependent Behavior 33%
• Oil Recovery 33%
• Injection Rate 33%
• Predictive Capability 33%
• Oil Reservoir 33%
• Performance Indicator 33%

Chemical Engineering

• Recurrent Neural Network 100%
• Carbon Dioxide 66%