报告题目：Multiphysics Imaging：Combining different data types to improve
subsurface exploration and monitoring
报 告 人：Dr. Max A. Meju
报告时间：2021.12.03 13:00-17:00 (Beijing time)
会议VOOV Meeting ID：886 438 872
Dr. Max Meju received his BSc Geology (1st class hons) in 1981, MSc & DIC Geophysics at Imperial College, London in 1984 and PhD Geophysics-EM inversion at Edinburgh Univ in 1988 and a MBA-Finance at Leicester Univ, Distinction in 2008. He was a Lecturer in geophysics at University of Leicester, UK, 1988-2002; a Reader (senior associate profesor) in environmental geophysics at Lancaster University, UK, 2002-2008; chair of hydrology panel, European Space Agency (ESA), Rome, 2002-2004; and Team Principal (EM/Non-seismic) at PETRONAS Research Bangi, Malaysia, 2008-2011. He was the Team Principal (QI-non-seismic) and now Custodian (Multiphysics) at PETRONAS Carigali Centre for Advanced Imaging, Kuala Lumpur (Jan 2012-present). He built Multiphysics technologies and led their growth in PETRONAS, 2008-2021.
Dr. Meju received in 1996 the William Bullerwell Prize (geophysicist of the year) from the United Kingdom Geophysical Association for outstanding leadership in geophysical inverse theory and geoelectromagnetism; in 2002 the Gerald W. Hohmann International Prize for Excellence in Applied Electrical Geophysics; Leading Star in popular TV documentary on volcano hazards (National Geographic Channel – Naked Science 2007, ‘Volcano Alert’); the Chinese Government Science Prize in 2012 for MT work on crustal flow in Tibet-Himalaya being the ‘most influential earthquake-related geoscience research’, and the Reginald Fessenden Award (jointly with Dr Luis Gallardo, his former PhD student) from Society of Exploration Geophysicists in 2019 for developing the cross-gradient joint inversion method in 2003 now widely used in industry and academia.
Multiphysics imaging combines different data types to improve subsurface exploration and monitoring. This is because individual geophysical methods on their own provide non-unique models of subsurface property and fluid-type present, but integrating them together with geological models maximizes accuracy, minimizes uncertainty in a SHARED EARTH model, and leads to a consistent prognosis for the sought resource or environmental system. This course will introduce the attendees to the state-of-the art practice of multiphysics integration in energy, mining and environmental industries and equip them with the basic tools to drive applications in other fields of geoscience. The topics covered in 5 sessions include：
Session 1: Introduction to practical multiphysics imaging. Effective combination of multimodal measurements to improve accuracy, reduce interpretational uncertainty and create value; data homogenization; formulating and solving practical multiphysics inverse problems - overview of crossgradient method.
Session 2: Multimodal and/or Multiphysics imaging for groundwater, environmental, engineering and mining investigations. Conceptual models and case studies.
Session 3: Multiphysics imaging for geothermal and hydrocarbon exploration in different geological environments. Conceptual models, Case studies.
Session 4: Multiphysics technologies for reservoir/aquifer monitoring. Conceptual models, practical considerations and case studies of reservoir surveillance for monitoring production, C02 storage, contaminant plume evolution or remediation.
Session 5: Conclusion and New Directions: Practical methods for uncertainty quantification in multidimensional joint inversion. Value-versus-cost of multiphysics information in hydrocarbon exploration.