A novel ZEYBEK-1 Model: A Rule-Based Expert System for Systematic Hydrocarbon Exploration Targeting

This paper introduces the ZEYBEK-1 Model, a novel rule-based expert system designed to systematize the initial phase of hydrocarbon exploration targeting in complex structural settings. The model formalizes geological knowledge into a deterministic algorithm that defines the essential spatial relationships between Source Rock (L1), Reservoir Rock (L2), Cap Rock (L3), and a Fault System (F1-F4) to predict hydrocarbon accumulations (H). By translating qualitative principles into quantitative geometric rules, the model provides a transparent and reproducible methodology for structural trap identification, reducing subjective bias inherent in traditional interpretation. Validation against known fields demonstrates 87.5% prediction accuracy. While particularly effective for conventional structural plays, the model's framework also enables efficient integration with advanced techniques like 3D seismic analysis and machine learning. The ZEYBEK-1 Model serves as a crucial first-pass screening tool, de-risking early exploration and optimizing resource allocation by providing a consistent, defensible logic for prospect generation.