Geoelectrical Prospecting With Undergroundelectrodes*

Alfano, L.

doi:10.1111/j.1365-2478.1962.tb02015.x

Cited by 19 publications

(9 citation statements)

References 3 publications

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“…For this case, the minimum value for S is 26 m, compared to 72 m for a burial depth of 20 m, indicating that a less deeply buried deposit can be detected in a greater depth of water. The effect of layering of the sea floor may be studied by use of equations given by Alfano (1962). The effect of layering of the sea floor may be studied by use of equations given by Alfano (1962).…”

Section: Offshore Depositmentioning

confidence: 99%

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Offshore Use of the Self‐potential Method*

Corwin

1976

Geophysical Prospecting

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An offshore self‐potential array, towed behind a small boat, has recorded anomalies of up to −300 mV. These anomalies were related to conductive onshore deposits, and appear to be caused by offshore extensions of the deposits. Along with locating onshore deposits and their offshore extensions, the system may be useful for locating offshore deposits with no onshore extension. The background noise level of the system typically is a few tenths of a millivolt, allowing reliable recording of one millivolt gradient anomalies under average sea conditions.

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Section: Offshore Depositmentioning

confidence: 99%

“…The curves of I'/1 vs Y will be affected by addition of a current source at finite depth to represent the bottom of the deposit, or by changes in the sediment resistivity (Corwin 1973). The effect of layering of the sea floor may be studied by use of equations given by Alfano (1962).…”

Section: Offshore Depositmentioning

confidence: 99%

Offshore Use of the Self‐potential Method*

Corwin

1976

Geophysical Prospecting

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“…This method has been discussed and researched by many scholars. In 1958, some Russians [4] implemented this method to determine horizontal boundary of the coal bed, carried out some field test research and yielded preliminary results; Alfano [5] computed analytical solution to three layers model; Craig et al [6] applied this method to map fracture zones; Bevc [1] did a salt water injection experiment using borehole-to-surface electrical resistivity method. Institute of Geophysics in Ukraine (1968∼1973) introduced this method to petroleum prospecting domain, carried on the large scale production experiment in 7 natural gas fields and obtained the good results [4] .…”

Section: Introductionmentioning

confidence: 99%

Determination of Borders for Resistive Oil and Gas Reservoirs by Deviation Rate Using the Hole‐to‐surface Resistivity Method

Tang

Zhang

Feng

et al. 2007

Chinese J of Geophysics

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According to characteristics of oil and gas reservoirs, different geophysical models are abstracted and three dimensional (3‐D) models of oil and gas reservoir are created. Then steady current field for the reservoir models are simulated by finite element software FEPG (Finite Element Program Generator) using hole‐to‐surface method. The precision attains to 0.043% for homogeneous earth model. A new parameter of deviation rate is proposed by analyzing and comparing different plot curves. Simulation result shows that the deviation rate becomes wide and small gradually when the depth of oil and gas reservoir increases. When borehole deviates from oil and gas reservoir, extremum of deviation rate changes and moves to the center of oil and gas reservoir. And also, according to the changing rule of deviation rate and its gradient, abnormity of oil and gas reservoir can be stood out and its transverse border can be determined.

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“…Alfano (1962) described the application of placing a current electrode underground for resistivity sounding. The application of using downhole current electrodes for locating spherical anomalies was successfully demonstrated in Snyder and Merkel (1973).…”

Section: Introductionmentioning

confidence: 99%

2-D and 3-D resistivity image reconstruction using crosshole data

Shima¹

1992

GEOPHYSICS

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Theoretical changes in the distribution of electrical potential near subsurface resistivity anomalies have been studied using two resistivity models. The results suggest that the greatest response from such anomalies can be observed with buried electrodes, and that the resistivity model of a volume between boreholes can be accurately reconstructed by using crosshole data. The distributive properties of crosshole electrical potential data obtained by the pole-pole array method have also been examined using the calculated partial derivative of the observed apparent resistivity with respect to a small cell within a given volume. The results show that for optimum two-dimensional (2-D) and three-dimensional (3-D) target imaging, in-line data and crossline data should be combined, and an area outside the zone of exploration should be included in the analysis.In this paper, the 2-D and 3-D resistivity images presented are reconstructed from crosshole data by the combination of two inversion algorithms. The first algorithm uses the alpha center method for forward modeling and reconstructs a resistivity model by a nonlinear least-squares inversion. Alpha centers ex-

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Geoelectrical Prospecting With Undergroundelectrodes*

Abstract: In many situations,

Cited by 19 publications

References 3 publications

Offshore Use of the Self‐potential Method*

Offshore Use of the Self‐potential Method*

Determination of Borders for Resistive Oil and Gas Reservoirs by Deviation Rate Using the Hole‐to‐surface Resistivity Method

2-D and 3-D resistivity image reconstruction using crosshole data

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