Hydraulic tomography for detecting fracture zone connectivity.

Area of Science:

• Geology
• Hydrogeology
• Environmental Science

Background:

• Understanding fracture zones and connectivity in geologic formations is crucial for groundwater resource management.
• Effective groundwater contamination prevention and remediation strategies rely on accurate characterization of subsurface fracture networks.

Purpose of the Study:

• To evaluate the utility of hydraulic tomography (HT) and the sequential successive linear estimator algorithm for characterizing fracture zone distribution and connectivity.
• To assess the impact of well and monitoring port density on the accuracy of fracture characterization.

Main Methods:

• Application of a novel hydraulic tomography (HT) technique to synthetic fractured media.
• Utilized the sequential successive linear estimator algorithm for data analysis.
• Varied the number of wells and monitoring ports to simulate different data acquisition scenarios.

Main Results:

• Hydraulic tomography with a limited number of wells can satisfactorily map the general pattern of fracture zone distribution and connectivity.
• Increasing the number of wells and monitoring ports leads to more vivid fracture zone delineation and connectivity.
• As monitoring density increases, estimated hydraulic properties more closely approximate true values.

Conclusions:

• The applied hydraulic tomography technique and algorithm show significant potential for characterizing fracture zones in geologic media.
• The study highlights the importance of monitoring network density for accurate subsurface characterization.
• This research may encourage the development of advanced tomographic methods for geological feature mapping.