Optimizing Development Strategies for Unconventional Reservoirs of Abu Roash Formation in Western Desert of Egypt

Unconventional shale formations pose unique challenges and opportunities for hydrocarbon extraction. This study focuses on the Abu Roash Formation (ARF) in Egypt's Western Desert, aiming to assess its potential as an unconventional reservoir. Leveraging insights from successful North American unconventional resources, the study introduces a novel approach using the Sweet-spot Quality Index (SSQI) and Shale Production Index (SPI) methodology, alongside an innovative physics-informed machine learning technique. Machine learning models predict the SSQI for ARF based on key parameters, drawing parallels with North American shale formations. The study's integrates insights from successful North American unconventional resources into the assessment of the Abu Roash Formation (ARF) in Egypt's Western Desert. It employs the Sweet-spot Quality Index (SSQI) and Shale Production Index (SPI) methodology, complemented by a physics-informed machine learning approach. Machine learning models are developed to predict the SSQI for ARF based on key parameters such as geological age, mineralogy, pressure, depth, thickness, total organic carbon (TOC), and brittleness. These models are trained using historical data from North American shale formations to establish analogs for ARF. The results indicate substantial similarities between ARF and selected North American shale formations, suggesting comparable shale characteristics. The SSQI values for ARF range from 0.025 to 0.105, aligning with values observed in the Eagle Ford formation. This similarity underscores the potential of ARF as an unconventional reservoir. The study also highlights the importance of drilling infill wells with specific spacing and lateral lengths, following successful practices in the Eagle Ford Shale. Additionally, environmental considerations, such as sustainable water management practices, are recommended for the development of ARF. The study's findings offer practical implications for optimizing the efficient and environmentally responsible development of ARF as a promising unconventional reservoir in the Western Desert of Egypt. The SSQI and SPI methodology play a crucial role in analyzing relationships between reservoir and completion parameters, contributing to a holistic assessment of ARF's development potential.