Advancing Subsurface Analysis: Integrating Computer Vision and Deep Learning for Near Real-Time Interpretation of Borehole Image Logs in the Illinois Basin Decatur Project

Abstract

The accurate quantification and mapping of subsurface natural fracture systems using a borehole imaging logs are critical for the success of CO2 sequestration in geological formations, optimization of engineered geothermal systems, and hydrocarbon production enhancement. However, traditional interpretation processes suffer from time-consuming procedures and human bias. To address these challenges and expedite fracture analysis, we investigated the application of integrated computer vision and deep learning workflows to automate image log analysis. Specifically, the design of our workflow was crafted to swiftly detect fractures and baffles by utilizing actual amplitude values from acoustic image logs alongside their binary representation. This novel approach significantly reduces computational time while providing invaluable insights. By incorporating conventional logging and microseismic data, we present a regional subsurface natural fracture mapping technique. Through the minimization of human bias in image log analysis, our automated workflow achieves reduced fracture interpretation time and costs, while ensuring robust and reproducible results. We demonstrated the efficacy of our approach by applying the workflow to The Illinois Basin – Decatur Project (IBDP) site. The automated workflow successfully identified major fractured zones, multiple baffles, and an interbedded layer with high resolution of 0.01 ft or 0.12 inch (0.3 cm) and can be upscaled to any desired resolution. Validation through microseismic and image log interpretations allows for accurate and near-real-time mapping of fractures and baffles, significantly enhancing CO2 pressure forecasting and post-injection site care. Our approach stands out due to its robustness, consistency, and reduced computational cost compared to alternative feature extraction technologies. It presents exciting possibilities for advancing CO2 sequestration and engineered geothermal efforts by offering comprehensive and efficient fracture mapping solutions. This technology can contribute significantly to the optimization of CO2 sequestration projects, facilitating sustainable environmental practices and combating climate change.