{ "item_title" : "Intelligent Seismic Inversion", "item_author" : [" Cao Song", "Wenkai Lu", "Yuqing Wang "], "item_description" : "This book investigates in detail intelligent seismic inversion technology, a rapidly evolving interdisciplinary field at the intersection of geophysics, artificial intelligence, and applied mathematics. As the cornerstone of subsurface characterization for oil and gas exploration, mineral resource assessment, and geological hazard mitigation, conventional seismic inversion suffers from heavy manual dependency, limited generalization, and unreliable uncertainty quantification. Pursuing a systematic approach, the book establishes a complete fundamental framework for intelligent seismic inversion, presenting eight cutting-edge methodologies that address the most pressing challenges in the field. The book features numerous high-quality illustrations, algorithm flowcharts, and field application case studies that clarify complex theoretical concepts and practical implementation details. It uniquely emphasizes the integration of physical constraints with data-driven approaches to resolve the critical issue of physical inconsistency in pure AI methods. For readers, this book provides an authoritative, up-to-date overview of the entire field, bridging the gap between academic research and industrial practice. It equips readers with both theoretical knowledge and practical skills to solve real-world subsurface characterization problems. The book is intended for undergraduate and graduate students in geophysics and petroleum engineering, researchers exploring AI applications in earth sciences, and professional engineers working in energy exploration and geological engineering. ", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/81/926/405/9819264057_b.jpg", "price_data" : { "retail_price" : "179.99", "online_price" : "179.99", "our_price" : "179.99", "club_price" : "179.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

Overview

Customers Also Bought

Details