Time-lapse electrical resistivity data has been recognized as a source of information for estimating reservoir flow properties in environmental applications. However, transient resistivity data have not been fully utilized in such estimations due to 1) the general lack of an adequate petrophysical transform, and 2) the limited resolution of electrical resistivity tomograms. In this paper we discuss the current limitations in using time-lapse resistivity data to constrain inverse estimates of hydraulic conductivity and present a method that addresses each limitation by leveraging the strong correlation between changes in fluid and bulk conductivity. We demonstrate with a synthetic example the rich amount of information provided by resistivity data and show how that information can be extracted in a meaningful and unbiased manner to estimate reservoir flow properties using a data domain correlation approach.
Zhou, Chaoguang (Petroleum Geo- Services) | Martínez, Jaime Ramos (Petroleum Geo- Services) | Lin, Sonny (Petroleum Geo- Services) | Jiao, Junru (Petroleum Geo- Services) | Dahl, Sverre Brandsberg (Petroleum Geo- Services)
Lo´pez, Jaime J. Ri´os (Pemex PEP Marina Noreste) | Vidal, Madain Moreno (Pemex PEP Marina Noreste) | Gonza´lez, Manuel (G&W Systems Corp.) | Rusic, Alberto (G&W Systems Corp.) | Srinivasan, Sanjay (University of Texas) | Sen, Mrinal (University of Texas) | Sil, Samik (University of Texas)
Vallée, Marc A. (Fugro Airborne Surveys) | Smith, Richard S. (Fugro Airborne Surveys) | Lemieux, Jean (Fugro Airborne Surveys) | Keating, Pierre (Geological Survey of Canada) | Houle, Patrick (Ministére des Ressources naturelles et de la Faune du Québec)