Applied Seismic Geostructures Characterizing Fault Damage Zones Quantitatively

This book focuses on the characterization of fault damage zones and subsurface structure systems quantitatively for the first time. It provides a comprehensive case study of various types of fault damage zones, including normal, reverse, strike-slip, and composite zones. The book also explores fractures within fault damage zones and the effect of faulting on cap rock integrity. Through meticulous case studies and analyses from diverse geographical regions, this book elucidates the seismic characteristics and behaviors associated with fault damage zones.

Readers will find particular interest in the methods and results presented in the book, as it offers a holistic and systematic approach to understanding and building seismic geostructures. Incorporating seismic attributes and coherence analysis, as well as applying neural networks, it provides readers with innovative techniques in fault characterization and segmentation.

Besides, this book incorporates illustrative visuals, insightful tables, and cutting-edge seismic attributes, which enhance the reader's understanding of the subject matter. Researchers, professionals, and students in petroleum geology, geophysics, and engineering will find this book to be an invaluable resource with the practical insights and innovative methodologies it offers for the state-of-the-art characterizing and analyzing fault damage zones.

Part 1 Fault damage zones.- Chapter 1 Normal fault damage zones in the Wangxuzhuang oilfield, China.- 

Chapter 2 Reverse fault damage zones in the eastern Longmen Shan Range, China.- Chapter 3 Strike-slip fault famage zones in the Anadarko Basin, Oklahoma.- Chapter 4 Composite damage zones.- Part 2 Structure systems.- Chapter 5 Multiscale fracture within damage zones in a tight sandstone reservoir, Sichuan Basin, China.- Chapter 6 Lithologically-controlled fault networks for fractured carbonates in the western Sichuan Basin, China.- Chapter 7 Mechanical effect of fractures on caprock integrity of carbonate and evaporite in Sichuan Basin, China.- Chapter 8 Fault-fold system in the south of Qinshui Basin, China.- Part 3 New technologies and applications.- Chapter 10 Characterizing fault damage zones using forward modeling within superdeep carbonates in northwest China.- Chapter 11 Artificial intelligence for 3D seismic fault analysis.- Chapter 12 New mechanisms for earthquakes distribution and fault patterns in a large fault system.

Dr. Zonghu Liao is currently a professor of geology at China University of Petroleum, Beijing. He received his master's and doctorate degrees from the ConocoPhillips School of Geology and Geophysics, University of Oklahoma, USA, in 2012 and 2013 respectively. At the end of 2013, he worked as a postdoctoral research scientist at the Oklahoma Geological Survey. He returned to work in China in 2014 and led a fault research team. From 2016 to 2017, he concurrently served as a deputy director of the Big Data Research Center of Remote Sensing at Tsinghua University and a deputy director of the Tsinghua Big Data Research Center of Internet of Things and Remote Sensing. He has presided over the China-Israel National Natural Science Foundation and participated in the key research and development project of the China Ministry of Science and Technology. He has published more than 30 journal papers in international journals such as Earth and Planetary Science Letters, Geophys. J. Int., and AAPG Bulletin. He is the co-author of the books “Seismic Interpretation” and “Metaverse (In Chinese)”. He serves as the editor of AAPG-SEG journal "Interpretation" on special issues of “Fault damage zones” and “Subsurface fractures”, the editorial board member of "Petroleum Science Bulletin", and the editorial board member of "Petroleum Science". He receives Huawei Mindspore Academic award from Chinese Society of Artificial Intelligence in 2022 and the Science and Technology Progress Award (First Prize) from China Ministry of Education (MOE). He is nominated as an honorary university professor by China University of Petroleum in 2021.