2011 Honorary LecturerSponsored by Shell

South & East Asia

Jung-Ho Kim

Korea Institute of Geoscience and Mineral Resources - Daejeon, South Korea

Incorporating the fourth dimension into geophysical data interpretation

 
Abstract

Jung-Ho KimMost geophysical methods aim to obtain spatially varying information concerning subsurface material properties. As a result their measured data and interpreted results are expressed in terms of spatial coordinates. However, in some special geophysical approaches, in addition to the spatial domain, the variations of material properties in non-spatial dimensions are studied.

Typical techniques of this kind are time-lapse geophysical monitoring and the Spectral Induced Polarization (SIP). These two different methods can be viewed under the same interpretation angle in the sense that nonspatial dimension (time or frequency) is incorporated into the data measurement and interpretation procedures. This lecture introduces a new interpretation approach in which both the spatial and nonspatial dimensions are jointly considered within the geophysical processing procedure.

Common practice was to treat this type of "complex" geophysical data as an assembly of individual spatial datasets. Consequently, individual interpretation of each dataset leads to retrieving individual spatial parameter models which are difficult to correlate along the new axis. In the new approach, both measured data and the subsurface model are considered in a unified coordinate system defined in both spatial and nonspatial domains. Subsequently the sets of the individual structural models and data in the space domain become respectively a single model and a single data set in the new global coordinate system. This allows us to obtain a subsurface structure in both space and nonspace domains using just a single inversion process, and furthermore to introduce á priori information along the nonspatial axis. Overall the new approach provides a more solid tool to interpret this type of data and allows the more realistic representation of the subsurface structure.

The lecture will be balanced between presentation of the theoretical development and the demonstration of the practical applicability. This will be achieved mostly by presenting practical application of the approach into resistivity monitoring and SIP data coming from various environmental and engineering case studies such as hydro-geophysical experiments, assessment of ground re-enforcement works, ground condition changes caused by tunnel construction works, landslide, etc.