Certified GeoData-Driven Exploration Specialist (CGDES)® - International Board of Oil & Gas Professionals

• Integrate AI algorithms with seismic and geophysical data • Drive smarter exploration and drilling decisions • Reduce dry well risks and optimize exploratory investments • Leverage geospatial and satellite data for basin-wide insights • Interpret multi-dimensional geoscientific datasets efficiently

• Applying AI/ML to seismic interpretation and anomaly detection • Integrating remote sensing data with geophysical workflows • Developing and validating reservoir characterization models • Conducting predictive analytics for play risk assessment • Optimizing exploration targets through data fusion techniques • Ensuring regulatory and ethical data governance in geoscience analytics

• Apply the role of AI and data science in modern subsurface exploration • Utilize seismic attributes and machine learning models for reservoir delineation • Perform unsupervised classification of geospatial datasets • Integrate satellite, LiDAR, and gravity/magnetic data into GIS platforms • Apply geostatistical techniques for risk-based exploration decisions • Use 3D visualization and volumetric mapping for interpretation

• Geoscientists and geologists in upstream E&P • Seismic data analysts and interpretation geophysicists • Petroleum engineers and reservoir engineers • AI/ML specialists working with energy datasets • GIS analysts and satellite imaging experts • Exploration managers and decision-makers • Academic researchers and geodata consultants

• IBOGP®-accredited online or hybrid courses • Self-paced study guides and model data sets • Hands-on projects using real-world exploration data • Instructor-led virtual labs and AI model-building sessions • Participation in AI-in-Exploration workshops and community forums

• Format: Computer-based test • Duration: 90 minutes • Question Type: Multiple-choice, scenario-based, and visual interpretation • Passing Score: 70% • Pre-requisites: Bachelor's degree or equivalent experience in geosciences, data science or professional expertise. • Languages: English (Arabic, Spanish, and French versions in development)