Natural Fracture Occurrence Model Based on FMI Imaging Logging.

Area of Science:

• Geosciences
• Petroleum Engineering
• Computational Modeling

Background:

• Natural fractures are critical for fluid flow and recovery in unconventional reservoirs.
• Existing probabilistic models for fracture occurrence and density have limitations.
• Accurate characterization of fracture density and occurrence is essential for development.

Purpose of the Study:

• To propose a novel 3D fracture occurrence model incorporating inclination and dip angles.
• To address the drawbacks of current probabilistic models for fracture characterization.
• To enhance the understanding of natural fracture networks in reservoir simulation.

Main Methods:

• Utilized formation micro-imager (FMI) imaging logs.
• Applied an elliptic Fisher model for probabilistic analysis.
• Developed a three-dimensional fracture occurrence model.

Main Results:

• The proposed 3D model accurately reflects fracture density and occurrence.
• Demonstrated superiority in data simulation compared to existing methods.
• The algorithm closely approximates real-world fracture distribution laws.
• Enabled visualization of fracture density and occurrence.

Conclusions:

• The new 3D fracture occurrence model provides accurate and clear insights.
• Visualization of fracture characteristics is vital for engineering practices.
• The model aids in assessing directional data sensitivity in reservoir analysis.
• Improved fracture characterization can lead to enhanced oil and gas recovery.