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case example of monitoring fluid progression in IOR projects is discussed in Narayan and Dusseault [28].

Schematic illustration of the new method for sampling and measuring potential field at the surface.

      A good description of resolution, or resolvability, may be explained in terms of a minimum separation of two geological features or anomalies to be delineated [28]. Detectability is usually defined in terms of the size of the anomalous zone or electrical contrast of the anomalous zone that can produce a measurable potential field response [28]. On-site geological noise level must be considered in defining detectability. To delineate and quantify changes within the anomalous zone of interest, changes in geophysical parameters (e.g., electrical conductivity or resistivity) must occur over a distance. A detailed description of “resolvability” and “detectability” may be found in the geophysical literature. Greaves et al. [29] have discussed about the geometry and spatial distribution of current dipoles and potential dipoles giving a better resolution and detectability of the anomalous zone to be monitored.

       The magnitude of the electrical potential field response increases linearly for small resistivity contrasts of the anomalous zone. From the mathematical formulation for sensitivity analysis, this result is expected here.

Graph depicts the computation of changes in the potential field response with increasing resistivity contrast.

       An important observation here is that a linear relationship exists up to a change in electrical resistivity by a factor of four. This may be found extremely helpful in implementing a linear resistivity inversion in imaging in-situ processes using a difference of observed potential field data from time A to time B.

       A linearized inversion will be valid only in situations where the resistivity perturbation in the target region is not more than a factor of four during two consecutive resistivity measurements.

       This linearity for small electrical resistivity changes may also be found useful as a basis to introduce the concept of adaptive resistivity inversion.

       Adaptive resistivity inversion should permit interpretation of difference potential field responses in terms of changes in resistivity at depth.

      Practically, it is important and advised to maximize current dissipation in and around the region that is to be monitored so that electrical field perturbations are large enough to detect at the surface. It is usually difficult to achieve enough current flowing through an anomalous region if only surface electrodes are used. However, by placing current dipole electrodes at the right depth with an appropriate current dipole spacing, sufficient current flux through the target zone can be achieved that in turn causes substantial variations in surface potential field measurements over the monitoring periods. In addition to increasing current flux, detectability may be enhanced in surface measurements by placing the current dipole adjacent to or across the anomalous zone that is to be monitored.

      When monitoring in-situ processes, a number of essential questions arise. What is the minimum signal amplitude that can be detected? How should we quantify detectability? What is the minimum signal repeatability? These are vital questions from the monitoring point of view and must be dealt with quantitatively. We attempt to answer some of these questions using numerical model responses and by defining measurability and detectability consistently.

      Narayan [3] defined the term “measurability” in terms of percent difference of the measured signal with respect to the background. This gives us an idea as to the signal levels that must be achieved on top of the background signal in order for an anomaly to be measured. Available commercial

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