Characterization of reservoir rocks and fluids by surface electromagnetic transient methods

• Main Authors: Hoekstra, P., Blohm, M. W. (Blackhawk Geosciences, Inc., Golden, CO (United States)), Stoyer, C. H. (Interpex Ltd. (United States)), James, B. A. (James Consulting Services (United States))
• Other Authors: United States. Department of Energy.
• Format: Report
• Language: English
• Published: Blackhawk Geosciences, Inc., Golden, CO (United States) 1992
• Subjects: Numerical Solution; Fuels; Geophysical Surveys; Site Selection; Progress Report; Mathematical Models; Document Types; Finite Element Method; Electromagnetic Surveys; Data; Enhanced Recovery; Theoretical Data; Algorithms; 020300 > Petroleum > Drilling & Production; Reservoir Fluids; Fossil Fuels; Mathematical Logic; Displacement Fluids; Two-Dimensional Calculations; Experimental Data; Numerical Data; Energy Sources; 02 Petroleum; Monitoring; Information; Fluids; Petroleum; Surveys 020200* > Petroleum > Reserves; Geology; & Exploration; Electrical Surveys; Reservoir Rock; permafrost
• Online Access: https://doi.org/10.2172/7296641; https://digital.library.unt.edu/ark:/67531/metadc1449158/

The objectives of this research are to improve the interpretations of transient electromagnetic (TEM) measurements over two-dimensional subsurface structures. TEM is a surface electromagnetic method employed in fossil energy reservoir exploration and characterization. Electrical measurements find application in (i) assisting in fossil energy exploration mainly in areas where seismic methods yield inadequate data quality, such as volcanic covered terrain, permafrost areas, and the Rocky Mountain overthrust; (ii) mapping contacts between hydrocarbon and brines in shallow producing horizons, and (iii) in monitoring enhanced oil recovery processes which cause zones of lower resistivity. Accomplishments for this past year are presented for the following tasks: (1) site selection and acquisition of high density, 3-component TEM data set over test site; (2) finite element forward modeling; and (3) TEM 2-D subsurface imaging.