Numerical modeling of self-potential anomalies due to leaky dams: Model and field examples

2005 ◽  
pp. 73-89 ◽  
Author(s):  
M. J. Wilt ◽  
R. F. Corwin
Keyword(s):  
Numerical Modeling ◽  
Self Potential

Numerical modeling of a hydrothermal system around Waita volcano, Kyushu, Japan, based on resistivity and self-potential survey results

Geothermics ◽  
2003 ◽  
Vol 32 (1) ◽  
pp. 21-46 ◽  
Author(s):  
Kasumi Yasukawa ◽  
Tohru Mogi ◽  
Djedi Widarto ◽  
Sachio Ehara
Keyword(s):  
Numerical Modeling ◽  
Hydrothermal System ◽  
Survey Results ◽  
Self Potential

Numerical Modeling of Marine Self-Potential from a Seafloor Hydrothermal Ore Deposit

2021 ◽  
Author(s):  
Jing Xie ◽  
Yi-an Cui ◽  
Meryem Fanidi ◽  
Lijuan Zhang ◽  
Youjun Guo ◽  
...  
Keyword(s):  
Numerical Modeling ◽  
Ore Deposit ◽  
Self Potential

Numerical modeling of self-potential in heterogeneous reservoirs

Geophysics ◽  
2022 ◽  
pp. 1-79
Author(s):  
Mutlaq Alarouj ◽  
Matthew David Jackson
Keyword(s):  
Numerical Modeling ◽  
Water Movement ◽  
New Technology ◽  
Water Injection ◽  
Heterogeneous Reservoirs ◽  
Reservoir Models ◽  
Water Breakthrough ◽  
Production Wells ◽  
Downhole Measurements ◽  
Self Potential

Monitoring water movement toward production wells through downhole measurements of self-potential (SP) was a promising new technology. However, there were uncertainties about its applicability in heterogeneous, multilayered reservoirs. Using numerical modeling, we investigated the likely magnitude and behavior of SP during oil production supported by water injection in two different models of such reservoirs. We found that the magnitude of the SP signal that would be measured along a production well increased as water approached the well, exceeding an assumed noise level of 0.1 mV before water breakthrough. We also found that, in the reservoir models tested, the maximum value of SP at the well skewed toward the fastest waterfront before water breakthrough. The trend of SP increasing at the well with time, together with the shape of the SP profile, were the prime indicators used to investigate water movement. In the reservoir models tested, before water breakthrough the fastest approaching waterfront could be detected approximately 20 m away from the well. However, subsequent waterfronts approaching the well in other layers could not be detected before breakthrough. The effect of these later waterfronts on the SP profile at the well was only detectable at breakthrough. We attributed this to the fact that the SP generated in these layers is masked by the high SP created by the fastest waterfront. Our findings emphasized the importance of an enhanced understanding of reservoir geology and rock electrical properties for better prediction and interpretation of SP.

Investigation of Scale-Dependent Groundwater/Surface-water Exchange in Rivers by Gradient Self-Potential Logging: Numerical Modeling and Field Experiments

2021 ◽  
Vol 26 (2) ◽  
pp. 83-98
Author(s):  
Scott J. Ikard ◽  
Martin A. Briggs ◽  
John W. Lane
Keyword(s):  
Numerical Modeling ◽  
Surface Water ◽  
Water Exchange ◽  
Field Experiments ◽  
Numerical Models ◽  
Water Quality Management ◽  
Groundwater Discharge ◽  
Streaming Potential ◽  
Wide Range ◽  
Self Potential

Exchanges of groundwater and surface-water are fundamental to a wide range of water-supply and water-quality management issues but challenging to map beyond the reach scale. Waterborne gradient self-potential (SP) measurements are directly sensitive to water flow through riverbed sediments and can be used to infer exchange locations, direction (gain versus loss), scale, and relative changes, but to date applications to river corridor hydrology are limited. Numerical modeling and field experiments were therefore performed herein, each emphasizing waterborne gradient SP logging for identifying and locating focused vertical groundwater discharge (surface-water gain) and recharge (surface-water loss) in a river. Two and three-dimensional numerical models were constructed to simulate the polarities, appearances, and peak amplitudes of streaming-potential and electric-field anomalies on a riverbed and in the surface-water that were attributable to steady-state vertical fluxes of groundwater through high-permeability conduits in the riverbed. Effects of varied hydraulic length-scale of exchange and surface-water depth were tested through numerical modeling. Modeling results aided in data acquisition and interpretation for three repeated field experiments performed along a 1.5–2.0 km reach of the Quashnet River in Cape Cod, Massachusetts, where focused, meter-scale groundwater discharges occur at discrete locations within otherwise ubiquitous and more diffuse groundwater upwelling conditions. Strong gradient SP anomalies were repeatedly measured in the Quashnet River at previously confirmed locations of focused groundwater discharge, showing the efficacy of waterborne gradient SP logging in identifying and characterizing groundwater/surface water exchange dynamics at multiple river network scales.

Investigation of Morphosedimentary Processes on a Schematic Louisiana Barrier Island Using Process-Based Numerical Modeling

2007 ◽  
Author(s):  
T. Campbell ◽  
B. de Sonneville ◽  
L. Benedet ◽  
D. J. W. Walstra ◽  
C. W. Finkl
Keyword(s):  
Numerical Modeling ◽  
Barrier Island

SIMULATION OF ELECTRICAL MONITORING OF DAMS WITH LEAKAGE WITH A TRANSVERSE PLACEMENT OF THE MEASURING INSTALLATION

2020 ◽  
Vol 8 (4) ◽  
pp. 69-82
Author(s):  
D.S. Rakisheva ◽  
◽  
B.G. Mukanova ◽  
I.N. Modin ◽  
◽  
...  
Keyword(s):  
Numerical Modeling ◽  
Water Level ◽  
Electrical Resistivity Tomography ◽  
Resistivity Tomography ◽  
Measuring Installation ◽  
Basic Functions ◽  
Tomography Method ◽  
Dam Monitoring ◽  
The Mathematical Model ◽  
Measurement Line

Numerical modeling of the problem of dam monitoring by the Electrical Resistivity Tomography method is carried out. The mathematical model is based on integral equations with a partial Fourier transform with respect to one spatial variable. It is assumed that the measurement line is located across the dam longitude. To approximate the shape of the dam surface, the Radial Basic Functions method is applied. The influence of locations of the water-dam, dam-basement, basement-leakage boundaries with respect to the sounding installation, which is partially placed under the headwater, is studied. Numerical modeling is carried out for the following varied parameters: 1) water level at the headwater; 2) the height of the leak; 3) the depth of the leak; 4) position of the supply electrode; 5) water level and leaks positions are changing simultaneously. Modeling results are presented in the form of apparent resistivity curves, as it is customary in geophysical practice.

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